NDLI: Relational Analysis of Causes of Bullwhip Effect in a Multi-layer Model

Content Provider	IEEE Xplore Digital Library
Author	Lu Fan Yinhua Zhou
Copyright Year	2006
Description	Author affiliation: Sch. of Econ., South China Univ. of Technol., Guangzhou (Lu Fan)
Abstract	Based on the beer game experiment, this paper aimed to investigate the impact of demand forecasting, order batching and shortage gaming on the supply chain, which involves retailers, distributors and manufacturers being subject to the bullwhip effect. Relational analysis based on the grey system theory is employed to measure the impacts on causes of the bullwhip effect in the presence of both rigid and flexible production technology. In all cases, lead time account for the largest impact to the bullwhip effect at the retailer and distributor layers. At the manufacturer layer, lead times are also most accountable for the bullwhip effect under rigid production technology, but the weight for actual demand in the current period is the most accountable under flexible production technology. The conclusions of this paper provide valuable guidelines for improving supply chain efficiency
Starting Page	482
Ending Page	487
File Size	5071012
Page Count	6
File Format	PDF
ISBN	1424403170
DOI	10.1109/SOLI.2006.329072
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relational Analysis Supply chains Cause effect analysis Demand forecasting Pulp manufacturing Predictive models Supply Chain Guidelines Bullwhip Effect Batch production systems Virtual manufacturing Flexible manufacturing systems Analysis of variance Information Sharing
Content Type	Text
Resource Type	Article

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