Please use this identifier to cite or link to this item:
|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|
|Keywords: ||Inventory;Fuzzy theory;Lead time;Signed distance;Backorder rate|
|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|
|Appears in Collections:||[運輸科學系] 期刊論文|
Files in This Item:
There are no files associated with this item.
All items in NTOUR are protected by copyright, with all rights reserved.