Arunachalam Narayanan, Alan W. Mackelprang, Manoj K. Malhotra
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System Performance Implications of Capacity and Flexibility Constraints on Bullwhip Effect in Supply Chains
Utilizing behavioral experiments involving approximately one thousand subjects, we empirically evaluate the relationship between volume flexibility and the Bullwhip Effect (BWE). We not only evaluate differences in the level of BWE, but also differences in associated system performance. We find that systems with hard capacity constraints are effective at limiting BWE, but also produce very poor customer service levels. However, systems with low levels of volume flexibility generate similar performance as fully flexible systems but do so while also generating a lower BWE. In a multi-echelon setting, we show that having partial volume flexibility at the upstream echelon helps in reducing order variance, with no significant drop in service level in the supply chain. This is particularly useful in those manufacturing environments which prefer stable orders for production planning without affecting the downstream customer service level. Counterintuitively, both experiments uncovered instances of irrational behavior where participants invoked flexibility in ways that did not always enhance system performance. In addition, these experiments also established enhancements in BWE and system performance through introduction of incremental volume flexibility into upstream echelon of a supply chain.
期刊介绍:
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.