A Note on Ending Inventory Valuation in Multiperiod Production Scheduling
Abstract
In a recent paper, Fisher et al. (2001) present a method tomitigate end-effects in lot sizing by including a valuation term for end-of-horizon inventory in the objective function of the short-horizon model. Computational tests show that the proposed method outperforms the Wagner-Whitin algorithm and the Silver-Meal heuristic, under several demand patterns, within a rolling horizon framework. We replicate the computational tests also including a straightforward method that assumes the same knowledge about future demand as the ending inventory valuation method. Our results indicate that the superior performance reported by Fisher et al. is to a large extent due to the fact that their method assumes that quite accurate knowledge about future demand is available, whereas the traditional methods do not use any information about demand beyond the short model horizon. Moreover, when quite accurate knowledge about future demand is indeed available, our results suggest that for some demand patterns, ending inventory valuation is not the most effective way to use this knowledge. Furthermore, we point out a minor mistake in the results reported by Fisher et al.Download Info
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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 02-067/4.Length:
Date of creation: 28 Jun 2002
Date of revision:
Handle: RePEc:dgr:uvatin:20020067
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Web page: http://www.tinbergen.nl
Related research
Keywords: End Effects; Dynamic Lot Sizing; Ending Inventory Valuation;Other versions of this item:
- Heuvel, W. van den & Wagelmans, A.P.M., 2002. "A Note on Ending Inventory Valuation in Multiperiod Production Scheduling," Research Paper ERS-2002-63-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-12-02 (All new papers)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Stadtler, Hartmut, 2000. "Improved rolling schedules for the dynamic single level lot sizing problem," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 14079, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Russell, R. A. & Urban, T. L., 1993. "Horizon extension for rolling production schedules: Length and accuracy requirements," International Journal of Production Economics, Elsevier, vol. 29(1), pages 111-122, February.
- Marshall Fisher & Kamalini Ramdas & Yu-Sheng Zheng, 2001. "Ending Inventory Valuation in Multiperiod Production Scheduling," Management Science, INFORMS, vol. 47(5), pages 679-692, May.
- Hartmut Stadtler, 2000. "Improved Rolling Schedules for the Dynamic Single-Level Lot-Sizing Problem," Management Science, INFORMS, vol. 46(2), pages 318-326, February.
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