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U. Wemmerlöv, D. Whybark (1984)
Lot-sizing under uncertainty in a rolling schedule environmentInternational Journal of Production Research, 22
R. Ward (1990)
Fundamentals of Inventory Management and Control
C. Gaimon (1986)
Optimal inventory, backlogging and machine loading in a serial, multi-stage, multi-period production environmentInternational Journal of Production Research, 24
Fourth Edition, A. Law (1982)
Simulation Modeling and Analysis
S. Vickery, R. Markland (1986)
Multi-stage lot sizing in a serial production systemInternational Journal of Production Research, 24
Gérard Cachon, M. Lariviere (2001)
Contracting to Assure Supply: How to Share Demand Forecasts in a Supply ChainManag. Sci., 47
Hau Lee, K. So, Christopher Tang (2000)
The Value of Information Sharing in a Two-Level Supply ChainManagement Science, 46
K. Popplewell, M. Bonney (1987)
The application of discrete linear control theory to the analysis and simulation of multi-product, multi-level production control systemsInternational Journal of Production Research, 25
S. Disney, D. Towill (2002)
A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chainInternational Journal of Production Research, 40
E.A. Silver, H.C. Meal
A heuristic for selecting lot size quantities for the case of a deterministic time‐varying demand rate and discrete opportunities for replenishment
M. Reiman, L. Wein, Fangruo Chen (1998)
Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand InformationManagement Science, 44
Robert Souza, Song Zice, Li Chaoyang (2000)
Supply chain dynamics and optimizationIntegrated Manufacturing Systems, 11
R. Tersine (1982)
Principles of inventory and materials management
W.K. Ng
Development and evaluation of information exchange mechanisms for a four‐echelon supply‐chain
M. Christopher (1998)
Logistics and supply chain management : strategies for reducing cost and improving service
H.L. Lee, V. Padmanabhan, S. Whang
Information distortion in a supply chain: the bullwhip effect
W.K. Ng, R. Piplani, S. Viswanathan
Evaluation of information exchange mechanisms in a four‐echelon supply chain
K. Popplewell, M.C. Bonney
The application of discrete linear control theory to the analysis of multi‐product, multi‐level production control system
Hau Lee, V. Padmanabhan, S. Whang (1997)
Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"Manag. Sci., 50
R. Piplani, S. Viswanathan (2003)
A model for evaluating supplier-owned inventory strategyInternational Journal of Production Economics, 81
S. Gavirneni, R. Kapuscinski, S. Tayur (1999)
Value of Information in Capacitated Supply ChainsManagement Science, 45
R. Hariharan, Paul Zipkin (1995)
Customer-order information, leadtimes, and inventoriesManagement Science, 41
J. Burns, B. Sivazlian (1978)
Dynamic analysis of multi-echelon supply systemsComputers & Industrial Engineering, 2
End‐user demand information suffers from delay and distortion as it moves upstream in a supply chain. Co‐ordination between organisations in the supply chain, through sharing of demand information, is a possible solution to counter this distortion. Modelling and analysing supply chains, however, is not an easy task, as the supply chains contain multiple echelons and are faced with uncertain demand and lead‐times. For multi‐echelon supply chains adopting different inventory and forecasting policies at the echelon level, simulation is the most appropriate analysis tool. In this paper, we describe the development of a simulation workbench for modelling and analysing multi‐echelon supply chains. The workbench facilitates study of inventory and forecasting policies practised by the echelons, and models different information exchange mechanisms adopted by them. An experiment conducted, to test the workbench and demonstrate its capabilities, confirms that the workbench is a useful tool for gaining valuable insights into information exchange in a particular supply chain.
Integrated Manufacturing Systems – Emerald Publishing
Published: Aug 1, 2003
Keywords: Supply‐chain management; Simulation; Inventory; Information exchange
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