Production and payment policies for an imperfect manufacturing system with discount cash flows analysis in fuzzy random environments

被引:13
|
作者
Mahata, Puspita [1 ]
Mahata, Gour Chandra [2 ]
机构
[1] Srikrishna Coll, Dept Commerce, Nadia, WB, India
[2] Sidho Kanho Birsha Univ, Dept Math, Purulia, WB, India
关键词
Inventory; fuzzy random variable; credibility theory; DETERIORATING PRODUCTION PROCESSES; OPTIMAL ORDERING POLICIES; PRODUCTION RUN-LENGTH; TRADE CREDIT POLICY; INVENTORY MODEL; PERMISSIBLE DELAY; EOQ MODEL; OPTIMAL REPLENISHMENT; DEPENDENT DEMAND; EXPECTED VALUE;
D O I
10.1080/13873954.2020.1771380
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper considers an imperfect manufacturing system with credit policies in fuzzy random environments. The supplier simultaneously offers the retailer either a permissible delay in payments or a cash discount and retailer in turn provides its customer a permissible delay period. We used an alternate approach - discount cash flow analysis to establish an inventory problem. It is assumed that the elapsed time until the machine shifts from 'in-control' state to 'out-of-control' state is characterized as a fuzzy random variable. As a function of this parameter, the profit function is also a random fuzzy variable. Based on the credibility measure of fuzzy event, the model with fuzzy random elapsed time can be transformed into a crisp model . We establish several theoretical results to obtain the solution that provides the largest present value of all future cash flows. Finally, numerical example is given to illustrate the results and obtain some managerial insights.
引用
收藏
页码:374 / 408
页数:35
相关论文
共 11 条