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A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains

A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains

Sheu Hua Chen
Copyright: © 2009 |Volume: 2 |Issue: 3 |Pages: 13
ISSN: 1935-5726|EISSN: 1935-5734|ISSN: 1935-5726|EISBN13: 9781616920692|EISSN: 1935-5734|DOI: 10.4018/jisscm.2009070106
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MLA

Chen, Sheu Hua. "A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains." IJISSCM vol.2, no.3 2009: pp.77-89. http://doi.org/10.4018/jisscm.2009070106

APA

Chen, S. H. (2009). A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains. International Journal of Information Systems and Supply Chain Management (IJISSCM), 2(3), 77-89. http://doi.org/10.4018/jisscm.2009070106

Chicago

Chen, Sheu Hua. "A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains," International Journal of Information Systems and Supply Chain Management (IJISSCM) 2, no.3: 77-89. http://doi.org/10.4018/jisscm.2009070106

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Abstract

This article explores the issue of lead-time in response-based supply chains. From a tactical viewpoint of response-based supply chains, the processing time for each stage is assumed to be a random variable since different practices exist in the selection pool of each stage under a specific lead-time requirement. The decision-maker must select suitable practices of operations for each stage to ensure that the lead time meets a desired requirement. The relationship and the trade-off between the operating costs for the selected practices and the inventory holding cost of safety stock that is in turn affected by the lead-time are discussed. A mathematical model for planning the operations from a manufacturer viewpoint is proposed. The variation in practical situation for the proposed model is also addressed. A hypothetic example is provided to illustrate the effectiveness of the proposed model. With reference to the computational results, the effect of several parameters on the model’s optimal solutions was discussed.

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