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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26615

Title: Variable lead time fuzzy inventory system under backorder rate with allowed shortage
Authors: Ming-Feng Yang;Tien-Shou Huang;Yi Lin
Contributors: NTOU:Department of Transportation Science
國立臺灣海洋大學:運輸科學系
Keywords: Inventory;Fuzzy theory;Lead time;Signed distance;Backorder rate
Date: 2010-11
Issue Date: 2011-10-20T08:37:27Z
Publisher: International Journal of Innovative Computing Information and Control
Abstract: Abstract:This paper investigates the backorder rate inventory problem with variable lead time in which can be decomposed into several components, with a crashing cost function for the respective reduced lead time. The objective of this study is to nd the optimal order quantity and lead time simultaneously, which is then used to minimize the total inventory cost. Most of the previous publications assumed that the annual demand is deterministic and the backorder rate is in proportion of the discount price offered by the supplier. However, there are many uncertain factors in real world. Therefore, they can be described by fuzzy theory. Here, we employ the theory of fuzziness to integrate the mixture inventory system, and construct the solution procedure to optimize the order quantity and lead time. For each model, we use the signed distance, a ranking method for fuzzy numbers, to estimate the annual demand and backorder rate, and to derive the corresponding optimal solution. For each model, we use the signed distance, a ranking method for fuzzy numbers to estimate the annual demand and backorder rate, and to derive the corresponding optimal solution. Numerical examples are also included to il-lustrate the procedures of the solution.
Relation: 6(11), pp.5015-5034
URI: http://ntour.ntou.edu.tw/handle/987654321/26615
Appears in Collections:[運輸科學系] 期刊論文

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