A novel mathematical model for a multi-period, multi-product optimal ordering problem considering expiry dates in a FEFO system

被引：38

作者：

Sazvar, Z. ^{[1
]}

Al-e-Hashem, S. M. J. Mirzapour ^{[2
,4
]}

Govindan, K. ^{[3
]}

Bahli, B. ^{[2
]}

机构：

[1] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran

[2] ESC Rennes Sch Business, 2 Rue Robert DARBRISSEL, F-35065 Rennes, France

[3] Univ Southern Denmark, Dept Technol & Innovat, Ctr Engn Operat Management, Odense, Denmark

[4] Amirkabir Univ Technol, Dept Ind Engn & Management Syst, Tehran, Iran

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2016年 / 93卷

关键词：

Optimal replenishment policy; Expiry date; Perishable items; Integer programming; Genetic algorithm; Particle swarm optimization; LOT-SIZING PROBLEM; POPULATION GENETIC ALGORITHM; SUPPLY CHAIN; REPLENISHMENT POLICY; PERISHABLE INVENTORY; SIZE MODEL; DEMAND; HEURISTICS; MULTISTAGE; SOLVE;

D O I：

10.1016/j.tre.2016.04.011

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

One of the main challenges of retail units is to determine the order quantities of different types of products, each with a specific expiry date, so that the system cost including shortage cost is minimized. We study a new multi-product multi-period replenishment problem for a First Expired-First Out (FEFO) based warehouse management system. The proposed nonlinear model is first converted to a linear one and then solved by applying two evolutionary algorithms: the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), in which design parameters are set using Taguchi method. Computational results demonstrate the applicability of the proposed model for perishable items and comparing the results shows the efficiency of the proposed metaheuristics as well. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：232 / 261

页数：30

共 58 条

[1] Lot sizing with carbon emission constraints [J].