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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26610

Title: Integrated inventory models with fuzzy annual demand and fuzzy production rate in a supply chain
Authors: J.C.-H. Pan;M.-F. Yang
Contributors: NTOU:Department of Transportation Science
Keywords: JIT;Integrated inventory;Fuzzy numbers;Supply chain management
Date: 2008-02-01
Issue Date: 2011-10-20T08:37:26Z
Publisher: International Journal of Production Research
Abstract: Abstract:The successful implementation of Just-in-time (JIT) production in today’s supply chain environment requires a new spirit of cooperation between the buyer and the vendor. An integrated inventory model with such a consideration is based on the total cost optimization under a common stock policy and business formula. However, the supposition of known annual demand in most related literature may not be realistic. This paper proposes the inclusion of fuzzy annual demand and/or the production rate, and then employs the signed distance, a ranking method for fuzzy numbers, to find the estimate of the common total cost in the fuzzy sense, and subsequently derives the corresponding optimal buyer’s quantity
and the integer number of lots in which the items are delivered from the vendor to the purchaser. Numerical examples are provided to illustrate the results of proposed models.
Relation: 46(3), pp.753-770
URI: http://ntour.ntou.edu.tw/handle/987654321/26610
Appears in Collections:[運輸科學系] 期刊論文

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