A memetic algorithm with dynamic population management for an integrated production-distribution problem

被引:149
作者
Boudia, M. [1 ]
Prins, C. [1 ]
机构
[1] Univ Technol Troyes, Inst Charles Delaunay, F-10010 Troyes, France
关键词
Production; Distribution; Inventory routing; Memetic algorithm; VERTICAL-BAR-PM; INVENTORY; SEARCH; INTENSIFICATION; COORDINATION; MODEL;
D O I
10.1016/j.ejor.2007.07.034
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper studies an NP-hard multi-period production-distribution problem to minimize the sum of three costs: production setups, inventories and distribution. This problem is solved by a very recent form of metaheuristic called memetic algorithm with population management (MA vertical bar PM). Contrary to classical two-phase methods (production planning, then distribution planning), the algorithm simultaneously tackles production and distribution decisions. Several versions with different population management strategies are evaluated and compared with a two-phase heuristic and a Greedy Randomized Adaptive Search Procedure (GRASP), on 90 randomly generated instances with 20 periods and 50, 100 or 200 customers. The significant savings obtained compared to the two other methods confirm both the interest of integrating production and distribution decisions and of using the MA vertical bar PM template. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:703 / 715
页数:13
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