Optimal production run length with imperfect production processes and backorder in fuzzy random environment

被引：24
|
作者：
Hu, Jin-Song [1 ]
Zheng, Hui [1 ]
Guo, Cai-Yun [1 ]
Ji, Ya-Ping [1 ]
机构：
[1] Qingdao Univ, Dept Management Sci & Engn, Qingdao 266071, Peoples R China
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2010年 / 59卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Optimal production run length; Imperfect production process; Fuzzy random variable; Backorder; DETERIORATING PRODUCTION PROCESSES; SETUP COST REDUCTION; PRODUCTION SYSTEM; ALLOWABLE SHORTAGES; INVESTMENT MODEL; PRODUCTION CYCLE; EMQ MODEL; LOT-SIZE; MAINTENANCE; INSPECTIONS;
D O I：
10.1016/j.cie.2010.01.012
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This article article considers the economic production run time problem with imperfect production processes and allowable shortages. The elapsed time until the production process shifts is assumed to be a fuzzy random variable, and fuzzy random total cost per unit time model is constructed. The expectation theory and signed distance are employed to transform the fuzzy random model into crisp model. An effective approximate algorithm is developed to search for the optimal production run length. Furthermore, numerical examples are provided to illustrate the results of proposed model. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：9 / 15
页数：7
相关论文
共 50 条
12345