Fuzzy Production Inventory Model with Stock Dependent Demand Using Genetic Algorithm (GA) Under Inflationary Environment

被引:0
|
作者
Agarwal, Pallavi [1 ]
Kumar, Neeraj [2 ]
Sharma, Ajay [1 ]
机构
[1] SRM Univ Delhi NCR, Dept CSE, Sonepat 131029, Haryana, India
[2] SRM Univ Delhi NCR, Dept Math, Sonepat 131029, Haryana, India
来源
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY | 2018年 / 26卷 / 04期
关键词
Centroid Method; EPQ model; genetic algorithm; stock-dependent demand; Supply Chain Management;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this article, we want to solve the complication of production of the product for the newly launched product and integrate it with the value of time, product, and inflation value. To address such problems, we have used a linear demand rate, which is directly proportional to the stock level i.e. if the stock level is maximum, the demand will automatically increase and the inventory level will also increase. If the level of the stock decreases then the demand and inventory level will also decrease. Moreover, the production will be stopped, when the level of stock will reach level S and there is no effect of demand. The S-0 stock level is definite. The prospective of this research is to increase the total profit of the model. For which the use of the Centroid method of defuzzification is used to defuzzify the total profit. This model will be explained with the help of numerical examples and sensitivity analysis and Java and MATLAB R2015a are used to get the optimal values of this model.
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页码:1637 / 1658
页数:22
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