Asynchronous teams for joint lot-sizing and scheduling problem in flow shops

被引:4
作者
Belo Filho, Marcio A. F. [1 ]
Santos, Maristela O. [1 ]
Meneses, Claudio N. [2 ]
机构
[1] Univ Sao Paulo, Inst Ciencias Matemat & Comp, Sao Carlos, SP, Brazil
[2] Univ Fed ABC, Sao Paulo, Brazil
关键词
flow shop; lot sizing; scheduling; asynchronous team; SEQUENCE-DEPENDENT SETUP; MIP-BASED HEURISTICS; GENETIC ALGORITHM; MACHINE;
D O I
10.1080/00207543.2011.628955
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The integrated production scheduling and lot-sizing problem in a flow shop environment consists of establishing production lot sizes and allocating machines to process them within a planning horizon in a production line with machines arranged in series. The problem considers that demands must be met without backlogging, the capacity of the machines must be respected, and machine setups are sequence-dependent and preserved between periods of the planning horizon. The objective is to determine a production schedule to minimise the setup, production and inventory costs. A mathematical model from the literature is presented, as well as procedures for obtaining feasible solutions. However, some of the procedures have difficulty in obtaining feasible solutions for large-sized problem instances. In addition, we address the problem using different versions of the Asynchronous Team (A-Team) approach. The procedures were compared with literature heuristics based on Mixed Integer Programming. The proposed A-Team procedures outperformed the literature heuristics, especially for large instances. The developed methodologies and the results obtained are presented.
引用
收藏
页码:5809 / 5822
页数:14
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