A two-warehouse inventory model for non-instantaneous deteriorating items with interval-valued inventory costs and stock-dependent demand under inflationary conditions

被引:45
|
作者
Akbar Shaikh, Ali [1 ]
Eduardo Cardenas-Barron, Leopoldo [1 ]
Tiwari, Sunil [2 ,3 ]
机构
[1] Tecnol Monterrey, Sch Sci & Engn, E Garza Sada 2501 Sur, Monterrey 64849, Nuevo Leon, Mexico
[2] Univ Delhi, Dept Operat Res, Fac Math Sci, New Acad Block, Delhi 110007, India
[3] Natl Univ Singapore, Logist Inst Asia Pacific, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore
来源
NEURAL COMPUTING & APPLICATIONS | 2019年 / 31卷 / 06期
关键词
Inventory; Non-instantaneous deterioration; Two warehouses; Partial backlogging; Stock-dependent demand; Inflation; Interval-valued cost; Particle swarm optimization; 90B05; RETAILERS ORDERING POLICIES; TRADE CREDIT; PERMISSIBLE DELAY; CAPACITY;
D O I
10.1007/s00521-017-3168-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This research work develops a two-warehouse inventory model for non-instantaneous deteriorating items with interval-valued inventory costs and stock-dependent demand under inflationary conditions. The proposed inventory model permits shortages, and the backlogging rate is variable and dependent on the waiting time for the next order, and inventory parameters are interval-valued. The main aim of this research is to obtain the retailer's optimal replenishment policy that minimizes the present worth of total cost per unit time. The optimization problems of the inventory model have been formulated and solved using two variants of particle swarm optimization (PSO) and interval order relations. The efficiency and effectiveness of the inventory model are validated with numerical examples and a sensitivity analysis. The proposed inventory model can assist a decision maker in making important replenishment decisions.
引用
收藏
页码:1931 / 1948
页数:18
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