基于优化和启发式算法的流水车间系统生产排序

Q3 Engineering
Álvaro Caicedo-Rolón Junior, J. Llanos
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引用次数: 0

摘要

摘要:研究某小型鞋业公司在流程车间机械特性环境下,确定m个工序中n个作业的生产顺序,以优化生产系统中作业的总完成时间(Makespan)。采用启发式算法,通过Lekin和WinQSB软件进行算法优化,设计数学模型,通过Juliabox软件求解。结果表明,整数线性规划和局部搜索的最大完工时间为3807 min,并且每种算法的生产顺序不同,考虑了置换,改进了传统的97 min生产规划方法,但在平均等待时间、平均流程时间和平均在制品性能指标上优化效果更好。启发式算法的应用被证明是简单和快速的,但软件中设计和编码的优化数学模型是生产规划决策的灵活和有价值的工具,可以应用于其他鞋类公司,以及其他具有案例研究相同特征的生产部门,降低成本,提高交货时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production sequencing in a flow shop system using optimization and heuristic algorithms
abstract: The purpose of the research was to determine the sequencing of the production of n jobs in m operations in a small footwear company in an environment of flow shop machine characteristics, which optimizes the total time of completion of the job in the production system (Makespan). We used heuristic algorithms that were applied through Lekin and WinQSB softwares, and for the optimization algorithm we designed a mathematical model that was solved by Juliabox software. Results show that the integer linear programming and local search minimize the makespan with 3807 minutes, and different production sequences for each algorithm, which consider permutation, which improves the traditional way of programming the production in 97 minutes, however, the optimization presents better results in the performance measures of average waiting time, average time of flow, and average job in process. Application of heuristic algorithms proves to be simple and fast, but the mathematical model of optimization designed and encoded in the software is a flexible and valuable tool for decision making in production programming, which could be applied in other footwear companies, and in other productive sectors whose companies have the same characteristics of the case study, reducing costs and improving delivery times.
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来源期刊
Gestao e Producao
Gestao e Producao Engineering-Industrial and Manufacturing Engineering
CiteScore
1.60
自引率
0.00%
发文量
23
审稿时长
44 weeks
期刊介绍: Gestão & Produção is a journal published four times a year year (March, June, September and December) by the Departamento de Engenharia de Produção (DEP) of Universidade Federal de São Carlos (UFSCar). The first issue of Gestão & Produção was published in April, 1994. Actually, G&P was result of experience of professors of DEP/UFSCar in editing, in the beginning, "Cadernos DEP" in the 1980s, followed by "Cadernos de Engenharia de Produção". The last three issues of "Cadernos de Engenharia de Produção" were a test previous to the launch of Gestão & Produção because most of the journal characteristics were already established, like regularity.
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