Copyright © 2002 Elsevier Science B.V. All rights reserved.
Production, Manufacturing and Logistics
The impact of forecasting model selection on the value of information sharing in a supply chain
Received 14 December 1999;
Abstract
This paper presents a study on the impact of forecasting model selection on the value of information sharing in a supply chain with one capacitated supplier and multiple retailers. Using a computer simulation model, this study examines demand forecasting and inventory replenishment decisions by the retailers, and production decisions by the supplier under different demand patterns and capacity tightness. Analyses of the simulation output indicate that the selection of the forecasting model significantly influences the performance of the supply chain and the value of information sharing. Furthermore, demand patterns faced by retailers and capacity tightness faced by the supplier also significantly influence the value of information sharing. The result also shows that substantial cost savings can be realized through information sharing and thus help to motivate trading partners to share information in the supply chain. The findings can also help supply chain managers select suitable forecasting models to improve supply chain performance.
Author Keywords: Supply chain management; Simulation; Forecasting; Information sharing
Article Outline
- 1. Introduction
- 2. Literature review
- 3. The simulation model and procedures
- 3.1. Basic assumptions
- 3.2. Phase I: Generation of demand and capacity
- 3.3. Phase II: Retailers' ordering decisions
- 3.4. Phase III: Supplier's production and delivery decisions
- 3.5. Verification and validation
- 4. Experimental design and research hypotheses
- 5. Results
- 5.1. The impact of FM on supply chain performance and the value of IS
- 5.2. The interaction between DP, FM and IS
- 5.3. The interaction between CT, FM and IS
- 6. Conclusions
- Acknowledgements
- References
1 Tel.: +86-10-62787812; fax: +86-10-62781785.
2 Tel.: +852-2609-8454; fax.: +852-2603-5505.
Corresponding author. Tel.: +852-26097650; fax: +852-26035104; email: xiande@baf.msmail.cuhk.edu.hk






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