On a Flow-Shop Scheduling Problem with Fuzzy Pentagonal Processing Time

被引：5
|
作者：
Alharbi, Majed G. [1 ]
El-Wahed Khalifa, Hamiden Abd [2 ,3 ]
机构：
[1] Qassim Univ, Coll Sci & Arts, Dept Math, Methnab, Buridah, Saudi Arabia
[2] Cairo Univ, Fac Grad Studies Stat Res, Operat Res Dept, Giza, Egypt
[3] Qassim Univ, Coll Sci & Arts, Math Dept, Buridah, Saudi Arabia
来源：
JOURNAL OF MATHEMATICS | 2021年 / 2021卷
关键词：
D O I：
10.1155/2021/6695174
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Scheduling involves planning and arranging jobs across a coordinated set of events to satisfy the customer's demands. In this article, we present a simple approach for the flow-shop (FS) scheduling problem under fuzzy environment in which processing time of jobs are represented by pentagonal fuzzy numbers. This study is intended to reduce the rental cost of the machine in compliance with the rental policy. The fuzzy FS scheduling problem is solved without converting the processing time into its equivalent crisp numbers using a robust ranking technique and a fuzzy arithmetic pentagonal fuzzy numbers. A numerical illustration indicates that the approach is workable, accurate, and relevant.
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页数：7
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