A partially integrated production-inventory model with interval valued inventory costs, variable demand and flexible reliability

被引:67
作者
Bhunia, Asoke Kumar [1 ]
Shaikh, Ali Akbar [2 ]
Eduardo Cardenas-Barron, Leopoldo [2 ]
机构
[1] Univ Burdwan, Dept Math, Burdwan 713104, W Bengal, India
[2] Tecnol Monterrey, Sch Sci & Engn, E Garza Sada 2501 Sur, Monterrey 64849, Nuevo Leon, Mexico
关键词
Inventory; Production; Flexible reliability; Partial backlogging; Particle swarm optimization; ECONOMIC PRODUCTION QUANTITY; MULTISTAGE PRODUCTION SYSTEM; STAGE MANUFACTURING SYSTEM; MULTIPLE SALES LOCATIONS; REPLENISHMENT LOT-SIZE; SUPPLY CHAIN SYSTEM; REWORK PROCESS; EMQ MODEL; EPQ MODEL; POLICY;
D O I
10.1016/j.asoc.2017.02.012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper formulates a production-inventory model to investigate the effects of partially integrated production and marketing policy of a manufacturing firm. Demand is assumed to be variable and dependent on the selling price and marketing cost. Also, different inventory costs are considered as interval valued. Shortages are permitted and partially backlogged with a rate dependent on the waiting time. Considering that manufacturing process generates defective units four possible cases have been identified and studied. Basically, the optimization problems (maximization problem for Marketing department and minimization problems for Production and Research & Development departments) have been formulated and solved. For solving these optimization problems, an efficient soft computing algorithm based on Particle Swarm Optimization-Constriction factor (PSO-CO) is proposed. In order to illustrate and validate the production-inventory model a numerical example is solved. Finally, a sensitivity analysis is done to study the effect of changes of different system parameters on optimal policies. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:491 / 502
页数:12
相关论文
共 66 条
[1]   Optimal pricing and lot-sizing under conditions of perishability and partial backordering [J].
Abad, PL .
MANAGEMENT SCIENCE, 1996, 42 (08) :1093-1104
[2]   Optimal lot size for a perishable good under conditions of finite production and partial backordering and lost sale [J].
Abad, PL .
COMPUTERS & INDUSTRIAL ENGINEERING, 2000, 38 (04) :457-465
[3]  
[Anonymous], 2003, Global optimization using interval analysis: revised and expanded
[4]  
Bhandari R. M., 1999, Opsearch, V36, P137
[5]   Reliability stochastic optimization for a series system with interval component reliability via genetic algorithm [J].
Bhunia, A. K. ;
Sahoo, L. ;
Roy, D. .
APPLIED MATHEMATICS AND COMPUTATION, 2010, 216 (03) :929-939
[6]  
Bhunia A.K., 2011, INT J IND ENG COMPUT, V2, P562
[7]  
Bhunia A.K., 2011, International Journal of Industrial Engineering Computations, V2, P351
[8]   Deterministic inventory model for deteriorating items with finite rate of replenishment dependent on inventory level [J].
Bhunia, AK ;
Maiti, M .
COMPUTERS & OPERATIONS RESEARCH, 1998, 25 (11) :997-1006
[9]   Optimum process mean and manufacturing quantity settings for serial production system under the quality loss and rectifying inspection plan [J].
Chen, Chung-Ho ;
Khoo, Michael B. C. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 57 (03) :1080-1088
[10]   Alternative approach for solving replenishment lot size problem with discontinuous issuing policy and rework [J].
Chen, Kuang-Ku ;
Wu, Mei-Fang ;
Chiu, Singa Wang ;
Lee, Chien-Hua .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (02) :2232-2235