Contracts Ii Outline Anderson
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Contracts Ii Outline Anderson document sample
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Inventory routing problems
- Combined inventory management and routing
Henrik Andersson
Arild Hoff
Marielle Christiansen
Geir Hasle
Arne Løkketangen
Outline
• Background
• Industrial aspects
• Literature review and classification
• Industrial aspects in the literature
• Trends and future directions
DOMinant workshop - Molde - September 20-22 2009
Background
• DOMinant is a collaboration between Molde
University College, Norwegian University of
Science and Technology and SINTEF
• Discrete optimization models in maritime and
road-based transportation
– Fleet size and mix vehicle routing problem
– Inventory routing problem
• First task : Get familiar with the research and
write a survey on each problem
DOMinant workshop - Molde - September 20-22 2009
Surveys
• Focused surveys with a broader purpose
– Overview of the diverse landscape of combined inventory
management and routing
– Relation and interconnection between science and practice
– Practitioners can see the benefit of using advanced decision
support systems in complex situations
– Inspire researchers to dig deeper into the field and find new and
exciting challenges
– Discuss both land-based and maritime applications
• Mainly based on the research literature
– Own experience
– No field study or industry involved in the writing process
DOMinant workshop - Molde - September 20-22 2009
Combining operations I
• Combining operations within the supply chain
– Increased efficiency
– Economical benefits
– Flexibility in services
– Improved robustness
• Which operations to integrate?
• Who should plan the integrated operations?
• For which products is it interesting to integrate
operations?
• When should operations be integrated?
DOMinant workshop - Molde - September 20-22 2009
Combining operations II
• Which operations to integrate?
– Inventory ≈ A buffer between processes to even out variations and
handle uncertainty
– Managing the conflicting goal between supply and demand
• Procurement – Inventory – Production (intra)
• Production – Inventory – Sales (intra)
• Inventory – Transportation – Inventory (intra and inter)
Supply
Demand
DOMinant workshop - Molde - September 20-22 2009
Combining operations II
• Which operations to integrate?
– Inventory ≈ A buffer between processes to even out variations and
handle uncertainty
– Managing the conflicting goal between supply and demand
• Procurement – Inventory – Production (intra)
• Production – Inventory – Sales (intra)
• Inventory – Transportation – Inventory (intra and inter)
Supply
Inventory
Demand
DOMinant workshop - Molde - September 20-22 2009
Motivation
Supplier Customer
Producer
Customer
Producer
Supplier Customer
Producer
Customer
DOMinant workshop - Molde - September 20-22 2009
Motivation
Control Execute
Supplier Customer
Producer
Customer
Producer
Supplier Customer
Producer
Customer
DOMinant workshop - Molde - September 20-22 2009
Motivation
Control
Execute
Supplier Customer
Producer
Customer
Producer
Supplier Customer
Producer
Customer
• Economical benefits
• Flexibility in services
• Improved robustness
DOMinant workshop - Molde - September 20-22 2009
Combining operations III
• Who should plan the integrated operation?
– The producer
– A transport provider
– A third actor
DOMinant workshop - Molde - September 20-22 2009
Combining operations IV
• For which products is it interesting to
integrate operations?
– High value products
– Perishable products
– High impact products
DOMinant workshop - Molde - September 20-22 2009
Combining operations V
• When should operations be integrated?
– Autonomous actors in the chain
• Economically beneficial at the system level
• Possible to split the benefits in an agreeable way
• Long-term relationship
• Willingness to share information and data
DOMinant workshop - Molde - September 20-22 2009
Current industrial practice
• Inventory management and routing are treated as
separate operations
– manual planning is still used at many companies
• There are very few, if any, commercial optimization-
based systems in current use
• Several integrated systems are under development for
companies in the maritime sector
– The liquefied natural gas industry mainly due to an
extraordinary strong growth in this high value business
DOMinant workshop - Molde - September 20-22 2009
Research perspective
• Looking at the coordination of inventory
management and routing, it is clear that the
combined problem is a long-term, dynamic
problem that is inherently stochastic
• Since long-term, dynamic and stochastic
problems are extremely difficult to solve, the
approaches found in the literature have
simplified the problem in one way or another
DOMinant workshop - Molde - September 20-22 2009
Classification
Characteristic Alternatives
Time Instant Finite Infinite
Demand Deterministic Stochastic
Topology One-to-one One-to-many Many-to-many
Routing Direct Multiple Continuous
Inventory Fixed Stock-out Lost sale Back-order
Fleet Homogeneous Heterogeneous
Fleet size Single Multiple Unconstrained
Mode Road-based Maritime Generic
DOMinant workshop - Molde - September 20-22 2009
Finite
• More than one visit at a customer may be
needed
• Common characteristics
– Deterministic demands
– Fixed inventory restrictions
• Road-based, maritime and generic
– Many-to-many topology without depot
– Few deliveries
– Heterogeneous fleet
DOMinant workshop - Molde - September 20-22 2009
Finite II
• Very few exact approaches
– Christiansen and Nygreen, 2005
• Robust plans, penalize closeness to inventory limits
• Path-based formulation
• Branch-and-price
– Archetti et al., 2007
• Order-up-to-level policy, one vehicle
• Arc-flow formulation
• Branch-and-cut
DOMinant workshop - Molde - September 20-22 2009
Finite III
• MP-based and neighborhood-based heuristics
– Arc-flow
• Miller, 1987 ; Al-Khayyal and Hwang, 2007 ; Savelsberg and
Song, 2008 ; Yugang, 2008
– Path-flow
• Bell et al., 1983 ; Persson and Göthe-Lundgren, 2005
– Neigborhood-based
• Rusdiansyah and Tsao, 2005 (Tabu search) ; Abdelmaguid
and Dessouky, 2006 (GA) ; Alegre et al., 2007 (Scatter
search) ; Dauzère-Pérès, 2007 (Memetic) ; Savelsbergh and
Song, 2007 (GRASP) ; Hemmelmayr et al., 2008 (VNS)
DOMinant workshop - Molde - September 20-22 2009
Finite IV
• Heuristics : Main approaches
– Allocate first – route second
• Carter et al., 1996 ; Campbell and Savelsbergh, 2004
– Periodic and delivery patterns
• Gaur and Fisher, 2004 ; Rusdiansyah and Tsao, 2005 ;
Alegre et al., 2007
– Imposing different inventory policies
• Kim and Kim, 2000 ; Bertazzi et al., 2002
DOMinant workshop - Molde - September 20-22 2009
Industrial aspects I
• Products having a relatively high consumption
rate.
– Gas, Bell et al., 1983, Golden et al., 1984, Campbell and
Savelsbergh, 2004 ; chemicals, Miller, 1987 ; automobile
components, Blumenfeld et al., 1987, Alegre et al., 2007 ;
ammonia, Christiansen, 1999 ; groceries, Gaur and Fisher,
2004 ; bitumen, Persson and Göthe-Lundgren, 2005 ;
frozen products, Custódio and Oliveira, 2006 ; calcium
carbonate slurry, Dauzère-Pérès et al., 2007 ;
petrochemical products, Al-Khayyal and Hwang 2007 ;
blood, Hemmelmayr et al., 2008
DOMinant workshop - Molde - September 20-22 2009
Industrial aspects II
• The uniqueness of the industrial cases is
important
– Factors not included in already existing models
• Can either complicate or sometimes simplify the problem
• Knowledge about the number of customers that are
normally visited on a route to simplify the generation of
routes
• Using the consumption/production rates and inventory
bounds to explicitly model each possible port call and to
derive time windows for each visit
• Characteristics from the current manual planning
DOMinant workshop - Molde - September 20-22 2009
Industrial aspects
• Most research where industrial problems are focused
holds elements of heuristics
– Exact methods terminated prematurely
– Neighborhood-based heuristics and metaheuristics
• The diversity of methods used shows many paths for
designing algorithms for industrial cases
• Knowledge about the case, and the delicate use of this
knowledge when formulating and solving the problem
shines through in most applications
DOMinant workshop - Molde - September 20-22 2009
Status summary
• Gain in interest due to increased focus on
supply chain management
• Many different problems, no clear definition
• A gap between research and academia
• Little work on exact methods
DOMinant workshop - Molde - September 20-22 2009
Trends in industry
• Data availability, visibility and information
sharing
• Increased cooperation along the supply chain
• Increased globalization
• Acquisitions and mergers
• Extended transport contracts, 3PL, 4PL
• A number of DSSs under development
• Environmental focus
DOMinant workshop - Molde - September 20-22 2009
Trends in the research literature
• Richer models
• Uncertainty and risk
• Industrial cases
• Advanced heuristics
DOMinant workshop - Molde - September 20-22 2009
Future research directions
• Richer models and integrated systems
• Focus on uncertainty, robustness and
flexibility
• From cost minimization to profit maximization
• Better benchmarks
DOMinant workshop - Molde - September 20-22 2009
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