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

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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

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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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(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

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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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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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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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ISSN 1947-5500