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ERP-Communication Framework: Aerospace Smart factory & Smart R&D Campus

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					                                                              (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                   Vol. 9, No. 7, July 2011



         ERP-Communication Framework: Aerospace Smart
                                               factory & Smart R&D Campus

     M. Asif              Erol Sayin                 Hammad                    Muiz-ud-Din   Nawar Khan                        Ibrahim H.
     Rashid                  Karabuk                 Qureshi                     Shami     Dept of Engineering                   Seyrek,
Dept of Engineering         University                SEECS,                  CAE, National             Management              Gaziantep
   Management                Turkey                   (NUST)                      University of          (NUST)                 University.
National University                                   Pakistan                     Science &
                                                                                                         Pakistan
   of Science &                                                                   Technology
   Technology                                                                       (NUST)
                                                                                    Pakistan
 (NUST) Pakistan


Abstract— The advancement in management information                           deliverables is the key to the success for an industry, which an
systems and business intelligence has changed the dynamics of                 ERP-suite offers            to a complex industry like
knowledge management. The integration of ERP module for                       aerospace-industry. However, due to various reasons during
strategic-collaboration among industry-R&D departments with                   the process of ERP implementation intelligentsia and
university-wide “Smart-campus” has further reiterated the                     managers are unable to fully diffuse and deploy the
target focused team environment coupled with value-based
                                                                              knowledge-areas[11-13]. It is considered to be a challenge for
corporate-culture. The integration of academia R&D units with
industrial-production-units for knowledge-management as well                  intelligentsia and field managers to jump start the ERP
as resource-management is becoming extremely multifaceted.                    implementation in a hybrid environment vis-à-vis
Efforts are now targeted at evolving a “dynamic knowledge                     academia-Industry collaborative-joint R&D ventures[14].
management model for higher education and for optimizing the
knowledge-diffusion of “University-R&D programs”. This                        Methodology:
indeed fosters the vision of E-Commerce to K-Commerce for
knowledge based economy. The philosophy of competitiveness                    In this paper the literature review based analysis would be
demands that the integrated framework for ERP adoption be
                                                                              conducted to extract the communication system framework
planned for complex-structured organizations prior to its
deployment.       This is meant so as to minimize ERP
                                                                              strategy for ERP module. The best practices of national
deployment-span in terms of time and to curtail financial                     institute of aeronautics (NASA) [15]would be utilized to
overheads. This paper provides various dimensions of planning                 build up a framework of communication for effective
communication system-strategy for ERP in complex-structured                   diffusion of knowledge areas in the ERP-module. The
organization through mapping of activities for Aerospace                      methodology for planning and implementation would be
departments      involved in     R&D      programs    vis-à-vis               proposed in light with technology diffusion theory [6].The
academia-Industry collaborative-joint ventures. 1                             validation of the proposed model is undertaken based on a
                                                                              case study at an aerospace industrial unit. The research work
                                                                              is based on the best working practices and methodologies
Keywords: Aerospace smart factry, ERP communication                           extracted from the previous research-work in other industries.
strategy, Communication channels, Technology diffusion.
                                                                              Qualitative and quantitative analysis are conducted based on
                 1. INTRODUCTION                                              unstructured interviews coupled with case-study validated via
To gain access to realms of automation, the pre-eminence of                   FP-Growth algorithm in favor of the proposed
IT based decision support systems (DSS), Enterprise resource                  ERP-communication framework. The “what if” analysis for
planning systems (ERP) needs total alignment with total                       probabilistic communication framework conducted thorough
quality management (TQM)[1, 2] , organizational culture and                   heuristic, FP-growth-algorithm[16] becomes the basis for
business strategy [3-5]. The realization of adoption of this                  Scenario planning [17] [18]for aerospace smart factory[19].
very concept is yet another area which academic institutes
totally miss out during the campaign of successful
deployment and technology diffusion[6] of ERP[7].
                                                                                      2. LITERATURE REVIEW: ERP-DIFFUSION
Academic institutes are also handicapped to realize the
benefits of having corporate wide automated, competitive,                     Absorption capability of follower country & collaboration
informed and supportive (ACIS) leadership and management                      programs:
[8, 9]. Which reiterates the need of an integrated framework
                                                                              The organizations and countries requiring advanced
to deploy ERP [10]. A total alignment of all projects
                                                                              technologies     absorbed     technology-sources    without
                                                                              considering whether they were even capable of absorbing
   1
     A diminutive part of the research under the NUST R&D sponsorship         those. It was observed [20] that absence of this capability
program was published in IAENG conference proceedings of the World            made either the whole transfer to be a failure or led the
Congress on Engineering 2010 Vol I; WCE-2010, London, ISBN:
978-988-17012-9-9 on June 30-July-2010.                                       recipient country to a perpetual dependency on the suppliers



                                                                        116                                 http://sites.google.com/site/ijcsis/
                                                                                                            ISSN 1947-5500
                                                        (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                             Vol. 9, No. 7, July 2011


of technology. A larger degree of independence among                 logistics, inventory       management        and     ware-house
collaborating-partners of technology transfer program added          management.
to the complexity for technology diffusion [11, 21] . The
                                                                     Deficiency in existing Literature and methodology of
diffusion of technology involved technical and non technical
                                                                     research work to propose a integrated ERP framework
parameters among the participating organizations and
industries this process got more complex while diffusion was         While there has been lot of research in other industries for
taking place from an advanced organization to a developing           specific models in specialized fields, limited contribution has
country organization, where the organizational, informational        been there for making a comprehensive framework for
and even the social environment might not be sufficient to           ERP-communication module and its implementation in
adapt this process [20, 22, 23].                                     aviation industry. Primarily the complexity of aircraft
                                                                     manufacturing industry and business challenges demand an
Competitiveness, Willingness through TQM
                                                                     exhaustive planning hence present research work shall focus
Global competitiveness requirements and deregulatory                 to extract the best working practices, tools and research from
environment has added further dimensions to industries               other industries. These elements shall then be aligned in
around the world. The will to survive in such environment            major categories to build up an entry level framework for
demands a continuous effort by organizations to acquire              aviation industry.
advanced technologies in spite of having discontinuities of
                                                                                         3. ROLE OF IT & ICT.
technology acquisitions in the past . Which emphasize change
management strategies[2, 24]. The leadership must strive for         Organizational and Functional Aspects:
willingness of internal customers to adapt to a new
                                                                     Management information systems (MIS) and information
technology for the purpose of diffusion in corporate culture;
                                                                     technology can play a pivotal role for communication of
so as to satisfy external customers and to stay in business
                                                                     technological knowledge and technovations. The MIS
through timely technological advances in terms of ERP
                                                                     departments      in     any     academic      institute   and
suites[8, 9] .
                                                                     Aerospace-smart-factory typically provide decision support
Literature Review of non-classical DOI Model for CSFs for            systems (DSS), industry specific CAD /CAM software,
deployment of IT techniques                                          material resource planning software (MRP) and ERP systems.
                                                                     “IT”, provides technology to support all the functions of MIS
The philosophy of, Non classical model [12] elucidated a
                                                                     including hardware as well as software support. “IT” is a tool
number of additional critical success factors (CSFs) which
                                                                     which can be utilized in various dimensions by leadership, top
can influence ERP, diffusion of technology (D.O.T.). The
                                                                     management, operations, production, finance and
research work model argued that; for complex and multi user
                                                                     administration. “IT” can provide a set of integrated system
technology (like IT); communication-channels and social
                                                                     tools (software as well as hardware) for DSS, BI, project
system play a vital role. Whereas, social system is a product
                                                                     management, SCM, MRP, CAD, CAM, financial analysis and
of leadership, management, administration, PEST {political,
                                                                     HRM analysis. The system can attain the shape of ERP once
socio-economical, technological influences (opinion leaders
                                                                     integrated across the corporate functions through single
& change agents)} [12]. The model of D.O.T., in IT-Industry
                                                                     authoritative database management system. During D.O.T,
was used to determine factors or enablers responsible for
                                                                     the security and flow of technovations would be managed
knowledge-communication to members of social systems in
                                                                     through the state of art “IT” coupled with
an           aerospace-academia-R&D-industry-environment.
                                                                     optimized-communication-strategy. Conversely, D.O.T, for
Researcher provided a conceptual view of the classical & non
                                                                     organization’s functions, processes and operations can also be
classical model and market situation relevant to industry. In a
                                                                     managed       and       expedited     through       use     of
high knowledge burden Industry or where there exist high
                                                                     optimized-communication-strategy.
user interdependencies characterize D.O.T., is a functions of
variables of classical D.O.T., theory , managerial influences        Information Distribution Network & Security of Information:
,critical-mass,               absorptive             capacity,
                                                                     In a typical multi-national manufacturing industry, the
implementation-characteristics and national-institutions to
                                                                     production and machine departments might be located
lower knowledge barriers. The utilization of same model
                                                                     offshore. “IT” would provide World Wide Web networks to
helped in extracting relevant parameters for aircraft
                                                                     distribute technological and business specific objectives to all
manufacturing industry. The parameters which were relevant
                                                                     stakeholders through optimized-communication-circles [26].
to     aerospace-academia-R&D-industry-environment          for
                                                                     “IT” utilizes satellite networks, earth stations and routing
diffusion of enterprise resource planning systems were
                                                                     equipments to distribute industry specific information
extracted for utilization in this research-study.
                                                                     through wide area networks (WAN), metropolitan networks
Literature Review of Canadian Aviation Cluster                       (MAN) and local area networks (LAN). The security of
                                                                     information could be ensured by employing hardware and
Canadian aviation cluster [25] indicated that supply chain
                                                                     software firewalls which can have integrated bulk encryption
management (SCM) would be a critical success factor for
                                                                     and decryption units. All bulk encryption and decryption units
meeting in time production challenges supply of material and
                                                                     may employs specific algorithms tailored to address the full
finished products from upstream source. These          SCM
                                                                     domain       of   organizational-specific     security-polices.
activities could be augmented by ERP system for optimized
                                                                     Intrusion-detection-systems could be employed to provide



                                                               117                                 http://sites.google.com/site/ijcsis/
                                                                                                   ISSN 1947-5500
                                                        (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                             Vol. 9, No. 7, July 2011


extensive-security for data-warehouse and sensitive                    implemented through defined mission & strategy.
manufacturing design and technology knowledge-areas.                   Communication success factors may depend on the following
                                                                       factors       in         an         “aerospace-academia-
Processes & Equipment Automation:
                                                                       R&D-industry-environment”:
Typically an Aerospace department is implicated in R&D
                                                                           (a) Clear vision to communicate.
programs vis-à-vis joint Industry collaborative ventures [23].
“IT/ICT” in the form of ERP can assist in providing state of               (b) Customer focused attitude as well as Industry
the art software as well as hardware. Which can be employed                    specific focus.
for optimized and accurate calculation of computer aided
                                                                           (c) Taking action as per defined strategy.
design (CAD), computer aided manufacturing (CAM),
computer simulations, automated wind tunnel testing,                       (d) Rapid deployment of communication channels
performance parameters evaluation, performance parameters                      through participative communication.
analysis, and computer assisted research & development for
                                                                       The resultant output will be observed as in the form of goal
prototype-product-manufacturing. This is followed by
                                                                       oriented behaviour. This communication concept for aircraft
subsequent serial batch production of product after exhaustive
                                                                       manufacturing industry is elucidated in figure 1. The
interventions by quality control and quality assurance
departments.
           4. ERP-Communication Medium

A main element in the diffusion of ERP technology is
communication channel. The manner in which information is
communicated is critical to the success or failure of an
ERP-DOT project. As technologies become more complex,
communicating those technologies to the marketplace and to
the users becomes more demanding.
Research has shown that NASA employed both informal and
formal communications to disseminate its research and
technology to the Aviation and space industries [15]. The
recommendations relevant to D.O.T, recommended following
two channels of communication for D.O.T:-
   (a.) Informal communication channels: covering peer to
       peer, collegial contacts, liaison among academia,
       industry and government communication.            gure: 1 Aircraft manufacturing industry Communication system
                                                                                    Framework
   (b.) Formal    communication channels: based on
       publications, periodicals, policies standards operating
       procedures and seminar-presentation.                            proposed         building       modules         of      the
                                                                       D.O.T-communication-model         are   Vision,    Policies,
As per NASA, [15] ,in one of the research-study “80% of the            Communication mechanism, Communication channels, Goal
respondents used electronic networks in their professional             oriented behaviour and a feed back mechanism. This model is
work, but half of the respondents considered the computer              based on the research model presented by NASA [15], which
networks to be neither important nor unimportant.                      has been modified in light with diffusion .of innovation
Respondents used electronic networks more frequently for               theory            [6],           commensurate             to
internal rather than external communication. Libraries played          “aerospace-academia-R&D-industry-environment” [11, 20,
a vital role in providing NASA and DOD technical reports to            21, 26] .
their intended aerospace users and collaborating partners”.                      5. VITAL ARTIFACTS & POLICIES FOR
As per NASA [15], the informal system was not as efficient if                           ERP-COMMUNICATION
stakeholders had limited knowledge. On the other hand                  A typical set of “Technology Knowledge policies” and goals
formal communication was found to be difficult because it              for distribution through communication circles to typical set
employed a one-way, source-to-user transmission and                    of departments could be following based on earlier research
because it relied heavily on information intermediaries and            work “Fichman-Model”         [12].There are a number of
mediators. Hence in this research, it is proposed that during          modifications incorporated in Fichman-Model based on
D.O.T, process formal channels may be employed to enhance              SWOT                analysis           specific            to
the rate of knowledge acquisition and subsequent transfer. A           aerospace-academia-R&D-industry-environment: The CSFs
generic model of communication may be used to highlights               are as follows:
D.O.T, objectives and policies. These policies could be
derived through vision and relevant objectives that could be




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                                                                                                    ISSN 1947-5500
                                                       (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                            Vol. 9, No. 7, July 2011


   (a) Competitiveness of HRD, Capacity Building &                    Academia-R&D, PP&PC) a communication channels
        Skill.                                                        employed was comprised of 231 channels of
   (b) Academia & Industry joint collaboration                        communication. It was observed that one product had to flow
                                                                      through various processes in different departments. All
   (c) Economic factors (price)
                                                                      departments were to keep a close liaison with each other and
   (d) Supply chain factors augmented by ERP                          with academia R&D-department for final quality-verification
Goal oriented behaviour-module & mathematical modeling                and Product-data–management (PDM) of finished products.
                                                                      The integrated information sharing and information-scrutiny
The rate of absorption and skill enhancement is achieved              among the production units and R&D departments became
through activation of goal oriented communication                     the basis for product life cycle management module(PLM) of
mechanism. The academia and industry conducts joint                   an ERP. For a controlled and managed activity a feedback
training session to impart and diffuse knowledge to HR and            from all departments was managed by production planning
industry-resource-Pool. A feedback mechanism would be at              and control department. The necessary changes in
place to refine and improve the D.O.T, process. The                   master-schedule were then processed through Business
information communication to project elements (staff,                 intelligence (BI) techniques and AI-algorithms for
managers) would be very vital for the success of Diffusion of         implementation and feedback. The objectives and goals
technology. The communication channel in terms of                     achievement were documented for performance review. The
probability Mathematical model can be defined as follows:             unaccomplished or carried-forward manufacturing was
                                                                      traced-back and was included in subsequent master schedule.
  Mathematic modeling for Industry Communication
  channels (C.c)                                                      The frequent patterns of communication were analyzed using
                                                                      FP-Growth / Apriori algorithm to predict future trend for
                                                          (1)         communication channel growth for inter / intra department
  C.c. =         n (n-1) / 2                                          and for network-traffic management. In such a perplexed and
                                                                      multilayered-scenario the requirement of a managed
                                                                      communication-module powered by ERP-authoritative
                                                                      database becomes an absolute necessity for timely and
                                                                      efficient decision making. A typical set of communication
Where; in equation 1; “n” stands for number of channels of            channels based on the aerospace case study is demonstrated in
communication among aerospace, academia and R&D                       figure-2. As per researcher [27-30] data mining tools play
departments for inter or intra departmental communication.            pivotal and constructive role for discovering useful patterns
The mathematical model is used in conjunction with                    in commercial organizations data warehouse, which may be
FP-growth algorithm [16]to realize the objective of frequent          in gigabytes for any engineering product data management
pattern recognition in a rational and logical way.                    (PDM) of a manufacturing industry. These patterns then
                                                                      predict strategies for continuous improvement in line with
      6. CASE STUDY FOR ERP-COMMUNICATION                             TQM for high performance manufacturing and to pinpoint
                                                                      training requirements. In this research the focus is
Communication Circle in Production planning of an
                                                                      communication channels hence FP-growth algorithms were
Aerospace MRO:
                                                                      employed to predict the communication patterns within the
                                                                      knowledge diffusion complicated manufacturing channels.
A SAAB aircraft manufacturing Plant was visited for
evaluating the proposed mathematical model. The Aerospace
                                                                      Quantitative Analysis: Application of FP-Growth for Vital
enterprise was manufacturing aircraft at 5 concurrent Docks.
                                                                      frequent pattern identification.
Out of which 02 were dedicated to MRO activities. The
SAAB aerospace plant was perusing actively the R&D
programs under a joint venture with a National level
                                                                      The FP-growth algorithm is one of the fastest methodology to
University. The, Production planning department was having
                                                                      frequent item set mining [16] and for “what if” analysis. It
four (4) sub departments which were involved in production
                                                                      trims down multiple scans frequent patterns in a the
planning, capacity planning, aircraft work order scheduling
                                                                      transactions, reduces number of unnecessary candidates and
and work-order-control. As per the above formula (equation
                                                                      facilitate support counting for candidates. Thus, “improving
1) the number of channels employed for interdepartmental
                                                                      Apriori-algorithm general perception” . FP-Growth
communication were Six (6). Another scenario was evaluated
                                                                      advantage is in its objective to divide-and-conquer. It then
for production planning & production control (PP&PC)
                                                                      proceeds to focused search of smaller databases along with
department for managing inter-departments manufacturing
                                                                      other factors. A case for vital artifacts was explored for
channels. A master-schedule for production was
                                                                      Vital-ERP communication transactions among inter
communicated to 20 departments and also to
                                                                      departmental scenario. The Data-set was fetched after
Academia-R&D-department for quality control. All
                                                                      analytical discussions and analysis from departments which
departments were required to manage, in such a situation
                                                                      were typically having high communication circles and
concurrent production schedules. As per the algorithm
                                                                      intranet data transfer with logistics and supply chain circles
(equation-1)     for    “22”      departments     (including
                                                                      due to uncertain demand pattern. The PP&C was in touch



                                                                119                                http://sites.google.com/site/ijcsis/
                                                                                                   ISSN 1947-5500
                                                                    (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                         Vol. 9, No. 7, July 2011


with Logistics for pursuing comfortable parts availability for                  scenarios of frequent item set for communication circles for
Airframe-integration department, R&D-department and                             ERP policy artifacts could be mined as per results shown in
Aero-Engine department. The minimum support considered                          table 2.
was 30%. The FP growth algorithm [16]was deployed so as to
                                                                                The “what if” analysis by FP growth algorithm provided the
predict all possible scenarios (frequent pattern) set for vital
                                                                                probabilistic        communication          pattern        for
artifacts for ERP-design considerations.
                                                                                deterministic-planning, probabilistic-planning and Scenario
                                                                                planning for aerospace smart factory. The scenario Planning
Algorithm: FP-growth: Version 4.18 by researcher [16] was                       Techniques could also predict BI-scorecards for futuristic
utilized for mining frequent patterns                                           risks anaysis in aerospace technology-diffusion-projects. The
Input: A Vital Communication ERP dataset (table-1)                              Scnerio planning is beyond what national strategy and beyond
developed during analytical survey, and a minimum support                       what master planning can even think of. This hence, could go
threshold ξ (30%).                                                              a long way in further improving the design artifacts for
                                                                                information integration framework for an aerospace smart
Output: The complete set of frequent pattern set (table 2).
                                                                                factory ERP.

      TABLE 1: Vital     Communication circles dataset                            7. QUALITATIVE ANALYSIS: CASE STUDY ANALYSIS
Transaction          Logistics    Airframe      R&D           Aero-             A qualitative analysis was conducted through unstructured
                     (a)          -integrati    -department
Researcher                                                    Engine            interview with experienced aerospace engineers with 18 years
                                  on (b)        (c )          (d)
                                                                                or more experience of industry and R&D. The conclusive
T1 - PP&C            Y            Y                Y           Y                outcome supported by theoretical references is discussed in
T2 - PP&C            Y            Y                Y                            subsequent paras. .
T3 - PP&C            Y            Y                Y
T4 - PP&C            Y            Y                            Y                Systems Engineering Approach for ERP implementation &
                                                                                change Management
T5 - PP&C       Y        Y
Results Assumptions & Limitations                                               Most of the Aerospace Engineers preferred the System
                                                                                thinking for ERP project’s planning. This is due to various
While more refined iterations and selection would have                          factors and mainly because ERP implementation projects are
fetched interesting patterns, however for ease of                               highly complex coupled with hundreds of concurrent
understanding only five transactions were considered (T1 to                     activities taking place at one given time. During ERP
T5). Since the focus was to indicate the viability and potential                implementation process, one doesn’t buy Technology, in fact,
of FP-growth algorithm to explore frequent pattern-set for                      performance and knowledge elevation is acquired during
ERP vital artifacts necessary for design consideration and                      unfrozen to refrozen phase. In such a demanding scenario the
exhaustive scenario planning. The resultant plausible                           most preferred practice would demand management of
                                                                                D.O.T., through system engineering approach. System
   Table 2: FP growth data sets output; frequent datasets                       approach integrates fundamental parameters of system at
         for exhaustive scenario-planning of ERP                                organizational level. The system engineering approach
            Transaction selected (T1, T2, T3, T4 & T5)                          circumference all the issues and is expected to provide a
        Item-IDs                Support-count
                                                                                holistic picture. The details about each parameter for system
            a                              5
                                                                                engineering approach and parameters at figure 1 along with
            b                              5
                                                                                their selection criteria have been worked out with complete
            c                              3
                                                                                diligence, meticulousness and assiduousness, however, these
            d                              2
                                                                                details intentionally not discussed at length and were “kept
        FPG: Frequent Patterns of BSC                                           out “in this diminutive paper.
   Conditional-probability-Plausible-scenarios for ERP vital
              artifacts With 30% support count                                  Role of ICT based Communication channels for (DOI) for
                    abcd abc abd ab (100.0)                                     ERP implementation
                     abcd abc abd (100.0)
                      abcd abc ab (100.0)                                       Most of the Aerospace Engineers iterated the need for
                        abcd abc (100.0)                                        planning ERP knowledge areas for effective diffusion of
                      abcd abd ab (100.0)                                       technology within corporate culture. The ERP technology is
                        abcd abd (100.0)                                        diffused to the social system through communication system.
                         abcd ab (100.0)                                        The communication system may employ IT techniques
                           abcd (100.0)                                         including broadband wireless access (IEEE 802.16 standards
                       abc abd ab (100.0)
                                                                                for Wi-max termed as 4G network), LAN, WAN and MAN to
                         abc abd (100.0)
                          abc ab (100.0)
                                                                                communicate ERP knowledge areas through triple play
                            abc (100.0)                                         techniques (TV, internet and Phone). The previous research
                         abd ab (100.0)                                         by NASA had confirmed the use of extensive communication
                           abd (100.0)                                          channels including electronic media for D.O.I. The success of
                            ab (100.0)

   (Algorithm Time to predict =0.03 Seconds )
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                                                                                                              ISSN 1947-5500
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ERP would be greatly enhanced through effective utilization              The elucidated application of Artificial Intelligence for
of communication strategies utilizing competitive                        mining frequent pattern for the interdepartmental
management-institute      (CIS-L-GAMA-Consortium         of              communication can becomes basis for predicting futuristic
competitive, informed-and supportive (CIS), leadership,                  risks and conflicts for improving the work flow within
(federal)    government,    academia,    management      &               logistics and production planning and control centers. This
administration (L-GAMA) the concept is abbreviated as                    research proposes that knowledge required to integrate
“CIS-L-GAMA”). This strategic-institute attains vigor                    aircraft manufacturing characteristics and constraints into the
through the social system. Such comprehensive                            structural design process is beyond the proficiency of a single
communication-strategies with feed-back mechanisms are the               engineer hence Concurrent Engineering (CE) facilitates
hallmark of success in terms of continuous improvement to                producibility and support right from design till
earn goal oriented behavior                                              production-stage along life cycle of a product. However a
                                                                         decision support system, or Knowledge-Based System, is
Leadership, Academia & industrial collaboration for ERP                  considered vital from design till manufacturing stage. While
implementation                                                           the objective of this research was not to describe the
                                                                         development of a Knowledge-Based System (KBS) for the
The past research has confirmed the competitive advantage of
                                                                         determination of manufacturing processes yet it elucidated the
operations management through the use of MRP in a
                                                                         need for a concurrent object oriented communication system
manufacturing industry. Additionally the optimum
                                                                         for KBS. Most of the Aerospace Engineers iterated the need
productivity could be earned through consortium of
                                                                         for optimization of work flow within logistics and production
competitive, informed and supportive (CIS) industrial
                                                                         planning and control centers utilizing BI and Knowledge
leadership, government, and academia. The power sharing
                                                                         discovery algorithms as a complement to each other.
groups at strategic level (Leadership & Government) and at
tactical level (management & administration) i.e.                                                 8. FINDINGS
CIS-L-GAMA-Consortium need reliable and competitive                      The research work is an ERP communication framework
DSS for monitoring ERP progress. It is proposed that after               evolution for D.O.T., processes revealed the following:
planning the ERP the BI & MRP module could be
implemented in first stage so as to enable CIS-L-GAMA to                 (1) Aircraft manufacturing industry encompass highly
monitor productivity for rapid ROI [9]. The integration of                   complex production knowledge synchronized by strict
communication circles with a generic industrial                              national and international standards.
ERP-framework [9, 26]is elucidated in figure-2. Most of the
Aerospace Engineers iterated the need for CIS-L-GAMA for                 (2) These technology-knowledge-areas cannot be achieved
enhanced productivity within aerospace cluster[3, 4, 9, 23,                  unless the management systems and production
25] .                                                                        processes are completely conversant with the depth of
                                                                             knowledge required for execution of day to day
Artificial Intelligence  & Data-mining analytics for                         assignments.
communicating BI in ERP Communication circles
                                                                         (3) The ERP implementation is the key deliberation in any
The researchers [27-29] elucidated that data mining                          complex manufacturing industry. The ERP diffusion of
techniques are seen as facilitator to top management and shop                knowledge adds perplexities due to parameters like
floor management for communication of precise information                    organizational size, centralization, formalization and
for timely decision support system and manufacturing. In a                   culture competitiveness and willingness.
global village perspective business is flooded with data
(scientific data, manufacturing data, product design data,               (4) System engineering approach of Diffusion of
financial data, and marketing data). Human attention has                     technology in Aerospace-smart-factory resolves the
become the precious resource. Ways to automatically analyze                  complex issues leading to uncalled for delays in ERP
the data, to automatically classify it, to automatically                     implementation.
summarize it, to automatically discover and characterize
trends utilizing statistics, visualization, artificial intelligence,     (5) In aviation industry the policies, rules, regulations and
and machine learning. The diffusion of innovation reiterates                 technical data are communicated through a state of the
that ERP business analytics module with BI capabilities                      art communication network strategy whereby. ERP
utilize data-mining & AI for communication of knowledge                      implementation is influenced by communication
(information). While the past research work argued that Data                 mechanism. The NASA research work has reiterated for
mining and knowledge discovery from data is important but                    state of the art communication network strategy for
did not stress for idea that communicating the knowledge                     automated management system to earn efficiency by
after data mining and uncovering interesting data patterns                   employing ERP systems with integrated business
hidden in large data sets through a object oriented                          intelligence and communication mechanism.
communicating strategy, which in itself is paramount for
competitive advantage for high performance manufacturing.                (6) Communication system for ERP planning and
                                                                             implementation demand goal oriented behaviors by
                                                                             encompassing BI & social system (CIS-L-GAMA). The
                                                                             previous research by NASA had confirmed the use of



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                                                                                                       ISSN 1947-5500
                                                        (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                             Vol. 9, No. 7, July 2011


     extensive communication channels including electronic                               AUTHORS PROFILE
     media for Diffusion of innovation (DOI).                       M. Asif Rashid is a Aerospace Enterprise Systems Integration
                                                                    Engineer working on Lockheed Martin Aerospace and
(7) Application of Artificial Intelligence for mining
                                                                    Enterprise-systems. He is also perusing his PhD studies at
    frequent pattern communication among varying actors
                                                                    Dept of Engineering-Management NUST for ERP-systems.
    can predict futuristic risks and growth of network
                                                                    This paper was part of PhD research work under the
    requiring improvement of work flow.
                                                                    supervision of Dr Muiz-ud-din-Shami(NUST), Dr Nawar
                       9. CONCLUSION                                Khan(DEM-NUST), Dr Hammad Qureshi (SEECS NUST)
                                                                    (hammad.qureshi@seecs.nust.edu.pk) & in collaboration
This research made an effort to address artifacts of ERP            with    Dr Erol Sayin of Karabuk University Turkey
Communication policy and artifacts quality-enhancement via          (sayin@ie.metu.edu.tr) and Dr. Ibrahim H. Seyrek, of
extraction of vital patterns of communication through               Gaziantep University (seyrek@gantep.edu.tr).
business analytics, business-intelligence (BI), and
data-mining techniques. The framework presented is                                          REFERENCES
applicable to any smart factory in pursuit of knowledge
innovation & its diffusion without ignoring the                         [1] S. L. Ahire, and T. Ravichandran, “An Innovation
strategic-picture, presented by engineering management’s                     Diffusion Model of TQM Implementation,” IEEE
Systems-approach and DOI-life cycle management for                           TRANSACTIONS             ON         ENGINEERING
exhaustive scenario planning. Technology diffusion and                       MANAGEMENT, vol. VOL. 48, NO. 4,
technology transfer are of significant importance in context of              NOVEMBER, pp. PP 445, 2001
developing countries. Technological innovation is like a core           [2] N. Kano, N. S. Dr, F. Takahashi et al., “Attractive
competency of a leader country that is perceived as new by                   quality and must-be quality,” Journal of the
follower. During D.O.T., leader country injects                              Japanese Society for Quality Control vol. 14 (2):
superior-technology in the social system and corporate                       39–48 1984.
culture         of       follower-country          via        a         [3] V. Lindström, and M. Winroth, “Aligning
managed-communication-system. At strategic-macro level,                      manufacturing strategy and levels of automation: A
the shared vision of leadership provides the synergy which                   case study,” Journal of Engineering and Technology
can be considered as the fuel of locomotive during the journey               Management, vol. 27, no. 3-4, pp. 148-159, 2010.
towards D.O.T.          At tactical-micro level i.e., at                [4] A. Madapusi, and D. D’Souza, “Aligning ERP
Aviation-Industry level, the support and commitment by the                   systems with international strategies ” Information
top leadership fosters the D.O.T., process. The collaboration                systems management 2005.
of leadership and academia can provide innovations, to                  [5] T. M. Somers, and K. G. Nelson, “A taxonomy of
systematize, align and attenuate, “Competitive-D.O.T.,                       players and activities across the ERP project life
Resource-Pool” so as to balance efficiency and effectiveness.                cycle,” Information & Management, vol. 41, no. 3,
The present research has provided an “integrated                             pp. 257-278, 2004.
communication strategy diffusion framework” for an aircraft             [6] E. Rogers, and L. S. Karyn, ““The Diffusion of
industry. This research uniquely approaches the D.O.T., from                 Innovations Model and Outreach from the National
communication standpoint and evolved a framework which                       Network of Libraries of Medicine to Native
can be employed by any complex structured industry and                       American Communities” http://nnlm.gov ” New
Academic-institute during information diffusion process so as                York: Free Press., vol. 5th ed, 2003.
to earn optimum resource-management as well as diffusion of             [7] I. Andersson, and K. H. Licentiate, “Diffusion in a
knowledge-areas. The Scenario-planning-framework for                         Software Organization,” Thesis in Applied
“smart factory-communication-mega-networks” presented in                     Information Technology, Department of Applied
this paper with blending of BI & FP-growth algorithm, has                    Information Technology, University Of Göteborg
rendered a vision way beyond what national-strategy and                      And Chalmers University Of Technology Göteborg
what conventional heuristic techniques can ever offer.                       Sweden 2003.
                                                                        [8] M.-R. Asif, and I. Manarvi, "A Framework of
                                                                             Technology Diffusion." pp. pp1041-2031.
                     ACKNOWLEDGMENT                                     [9] M.-R. Asif, and M. Uzma, "ERP Planning Diffusion
                                                                             In Aircraft Manufacturing Industry." pp. page(s):
Author would like to thank Dr Irfan A Manarvi-Iqra                           1603 - 1613.
University, Dr Ufuk Çebeci–ITU-Turkey, Mr Yilmaz                        [10] M. Al-Mashari, “Enterprise resource planning
Guldoğan –Vice president strategic planning & industrial                     (ERP) systems: A taxonomy of critical factors,”
cooperation TAI Turkey, Ms Gulhan Aydin-TAI, Mr Fatih                        European Journal of Operational Research vol. 146
Ercan-TAI Turkey, Dr I Burhan Turksen-TOBB E&T                               (2003) 352–364, 2003.
University, Dr Seçil Savaşaneril -METU, Dr Sedaf                        [11] S. Dasgupta, "The role of culture in information
Meral-METU, DR Gǖlser Kŏksal -METU, Ms Husret                                technology diffusion in organizations-Innovation in
Saygi-METU, Ms Hilal Doru-Ankara University and Ms                           Technology Management ". pp. 353-356.
Gokçen Yilmaz -METU Turkey. Dr Iqbal Rasool (Dept of                    [12] R. G. Fichman, “Information Technology Diffusion:
Industrial Engineering) CAE, NUST                                            A Review of Empirical Research,” MIT, 1994



                                                              122                                 http://sites.google.com/site/ijcsis/
                                                                                                  ISSN 1947-5500
                                                   (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                        Vol. 9, No. 7, July 2011


[13] R. G. Fichman, and K. C.F., “The assimilation of             [29] H. Jiawei, and M. Kamber, Data Mining: Concepts
     software process innovations: An organizational                   and Techniques, Third Edition ed., 2006.
     learning perspective,” Management Science, vol.              [30] I. P. Tatsiopoulos, and N. D. Mekras, “An expert
     (43)10, pp. 1345-1363., 1997.                                     system for the selection of production planning and
[14] V. Pantano, M. J. Cardew-hall, and P. D. Hodgson,                 control software packages,” Production Planning &
     "Technology diffusion and organizational culture:                 Control: The Management of Operations, vol. 10,
     preliminary findings from implementation of a                     no. 5, pp. 414-425, 1999.
     knowledge management system." pp. Pages 166 -
     177.
[15] C. Tenopir, and D. W. King, "Communication
     Patterns of Engineers " Institute of Electrical and
     Electronics Engineers; NASA/DOD AEROSPACE
     Knowledge Diffusion Research Project IEEE, 2004.
[16] C. Borgelt, “An Implementation of the FP-growth
     Algorithm,” in OSDM’05, August 21, 2005,
     Chicago, Illinois, USA, 2005.
[17] G. Davis, “Scenarios as a Tool for the 21st Century,”
     in Probing the Future Conference, Strathclyde
     University, 2002.
[18] R. G. Dyson, “Strategic Planning: Models and
     Analytical Techniques,” Wiley, Chichester, UK,
     1990.
[19] D.      Zuehlke,     “SmartFactory--Towards         a
     factory-of-things,” Annual Reviews in Control, vol.
     34, no. 1, pp. 129-138, 2010.
[20] B. E. Munkvold, "Adoption and diffusion of
     collaborative technology in inter-organisational
     networks." pp. 424 - 433.
[21] W. R. Kehr, and H. E. Nystrom, “Strategy planning
     for technological discontinuities in a changing
     regulatory environment,” in Proceedings of the 2000
     IEEE Engineering Management Society, 13 - 15
     Aug. 2000, , 2000, pp. Pages 568 - 574.
[22] K. Johansen, M. Comstock, and M. Winroth,
     “Coordination in collaborative manufacturing
     mega-networks: A case study,” Journal of
     Engineering and Technology Management, vol. 22,
     no. 3, pp. 226-244, 2005.
[23] L. Meng, G. Ishii, and A. Kameoka, "A New
     Framework on Industrial Competitiveness An
     Alternative Perspective Blending Competition with
     Cooperation," Japan Collaboration of academia
     2001].
[24] W. E. Deming, Out of Crisis: MIT Center for
     Advanced Engineering Study Cambridge University
     Press, 1988.
[25] Canadian-Aerospace,        "Canadian       Aerospace
     Cluster," Québec, Canadian Public Library, C.
     Aerospace, ed., Québec, Canadian Public Library,
     2004, pp. 7 -23 & 42.
[26] M.-R. Asif, S. Muiz-ud-Din, K. Nawar et al.,
     "Aerospace-academia - ERP Communication
     Strategy."
[27] B. B. Agarwal, and S. P. Tayal, Data Mining and
     Data Warehousing: Laxmi Publications Pvt Ltd,
     2009.
[28] H. Jiawei, Y. Cai, and N. Cercone, “Knowledge
     Discovery in Databases: an Attribute-Oriented
     Approach,” in IEEE Proc. 18th Conf. Very Large
     Databases, 1992.



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