A note on fuzzy inventory model with storage space and budget constraints

被引:12
作者
Chou, Shuo-Yan [1 ]
Julian, Peterson C. [1 ]
Hung, Kuo-Chen [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Ind Management, Taipei 106, Taiwan
关键词
Inventory management; Fuzzy inventory model; Budget constraint; Storage space constraint; VARIABLE LEAD-TIME; DEPENDENT UNIT COST; EOQ MODEL; SIGNED DISTANCE; ORDER QUANTITY; SUPPLY CHAIN; BACKORDER; DEMAND; SIMULATION; VENDOR;
D O I
10.1016/j.apm.2009.02.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In 1997, Roy and Maiti developed a fuzzy EOQ model with fuzzy budget and storage capacity constraints where demand is influenced by the unit price and the setup cost varies with the quantity purchased [T.K. Roy, M. Maiti, A fuzzy EOQ model with demand-dependent unit cost under limited storage capacity, Eur. J. Oper. Res. 99 (1997) 425-432]. However, their procedure has some questionable points and their numerical examples contain rather peculiar results. The purpose of this paper is threefold. First, for the same inventory model with fuzzy constraints, based on the max-min operator, we proposed all improved Solution procedure. Second, we review the solution procedure by Roy and Maiti that is based on Kuhn-Tucker approach to point Out their questionable results. Third, we compare Roy and Maiti's approach with ours to explain why our approach can solve the problem and theirs cannot. Numerical examples provided by them also support our findings. (C) 2009 Elsevier Inc. All rights reserved
引用
收藏
页码:4069 / 4077
页数:9
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