Optimal plant layout design based on MASS algorithm

被引:0
|
作者
Khoshnevisan, M [1 ]
Bhattacharya, S [1 ]
机构
[1] Griffith Univ, Sch Accounting & Finance, Nathan, Qld 4111, Australia
关键词
assignment; entropy; neutrosophic statistics; Dezert-Smarandache combination rule;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we have proposed a semi-heuristic optimization algorithm for designing optimal plant layouts in process-focused manufacturing/service facilities. Our proposed algorithm marries the well-known CRAFT (Computerized Relative Allocation of Facilities Technique) with the Hungarian assignment algorithm. Being a semi-heuristic search, our algorithm is likely to be more efficient in terms of computer CPU engagement time as it tends to converge on the global optimum faster than the traditional CRAFT algorithm - a pure heuristic. We also present a numerical illustration of our algorithm. We also suggest an extension to the problem under study through the incorporation of principles of neutrosophic statistics.
引用
收藏
页码:1365 / 1370
页数:6
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