Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization

被引：47
|
作者：
Tiwari, Sunil [1 ,2 ,3 ]
Jaggi, Chandra K. [1 ]
Bhunia, Asoke Kumar [4 ]
Shaikh, Ali Akbar [5 ]
Goh, Mark [2 ,3 ]
机构：
[1] Univ Delhi, Fac Math Sci, Dept Operat Res, New Acad Block, Delhi 110007, India
[2] Natl Univ Singapore, NUS Business Sch, Singapore, Singapore
[3] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore
[4] Univ Burdwan, Dept Math, Burdwan 713104, W Bengal, India
[5] Tecnol Monterrey, Sch Sci & Engn, E Garza Sada 2501 Sur, Monterrey 64849, Nuevo Leon, Mexico
来源：
ANNALS OF OPERATIONS RESEARCH | 2017年 / 254卷 / 1-2期
关键词：
Inventory; Non-instantaneous deterioration; Partial backlogging; Stock-dependent demand; Inflation; Particle swarm optimization; PERMISSIBLE DELAY; IMPERFECT PRODUCTION; ORDERING POLICIES; PRICE; CREDIT; REPLENISHMENT; ALGORITHM; PAYMENT;
D O I：
10.1007/s10479-017-2492-5
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
We investigate a two-warehouse inventory model for non-instantaneous deteriorating items with partial backlogging and stock-dependent demand under inflationary conditions. Shortages are allowed. The backlogging rate is variable and depends on the waiting time for the next replenishment. This paper seeks to determine an optimal replenishment policy that minimizes the present value of the total cost per unit time. The necessary and sufficient conditions for the existence and uniqueness of the optimal solution are found. The corresponding problems are formulated and solved with particle swarm optimization. Numerical experimentation and post-optimality analysis are conducted.
引用
收藏
页码：401 / 423
页数：23
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