Fuzzy inventory with backorder for fuzzy order quantity

被引：79

作者：

Yao, JS

Lee, HM

机构：

[1] CHINESE CULTURE UNIV,DEPT INFORMAT MANAGEMENT,TAIPEI 11114,TAIWAN

[2] UNIV NEW S WALES,SCH COMP SCI & ENGN,SYDNEY,NSW 2052,AUSTRALIA

来源：

INFORMATION SCIENCES | 1996年 / 93卷 / 3-4期

关键词：

D O I：

10.1016/0020-0255(96)00074-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates a group of computing schemas for economic order quantity as fuzzy values, and the corresponding optimal stock quantity of the inventory with backorder. We express the fuzzy order quantity as the normal triangular fuzzy number (q(1), q(0), q(2)), and then we solve the aforementioned optimization problem under the constraints 0 < s less than or equal to q(1) < q(0) < q(2), where s denotes the optimizing stock quantity. We find that, after defuzzification, the total cost is slightly higher than in the crisp model; however, it permits better use of the economic fuzzy quantities arising with changes in orders, deliveries, and sales.

引用

页码：283 / 319

页数：37