Simulation framework for determining the order and size of the product batches in the flow shop: A case study

IF 2.8 3区工程技术 Q2 ENGINEERING, MANUFACTURING

Advances in Production Engineering & Management Pub Date : 2019-06-09 DOI:10.14743/APEM2019.2.319

D. Ištoković, M. Perinić, S. Doboviček, T. Bazina

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引用次数: 15

Abstract

The problems of determining the order and size of the product batches in the flow shop with multiple processors (FSMP) and sequence-dependent setup times are among the most difficult manufacturing planning tasks. In today's environment, where necessity for survival in the market is to deliver the goods in time, it is crucial to optimize production plans. Inspired by real sector manufacturing system, this paper demonstrates the discrete event simulation (DES) supported by the genetic algorithm (GA) optimization tool. The main aim is to develop the simulation framework as a support for the daily planning of manufacturing with emphasis on determining the size and entry order of the product batches within specific requirements. Procedures are developed within the genetic algorithm, which are implemented in Tecnomatix Plant Simulation software package. A genetic algorithm was used to optimize mean flow time (MFT) and total setup time (TST) performance measures. Primary constraint for on-time delivery was imposed on the model. The research results show that solutions are industrially applicable and provide accurate information on the batch size of the defined products, as well as a detailed schedule and timing of entry into the observed system. Display of the solution, in a simple and concise manner, serves as a tool for manufacturing operations planning. © 2019 CPE, University of Maribor. All rights reserved.

查看原文本刊更多论文

用于确定流程车间中产品批次的订单和大小的模拟框架:一个案例研究

在多处理器流程车间(FSMP)中确定产品批次的订单和大小以及顺序相关的设置时间是最困难的制造计划任务之一。在当今的环境中，及时交货是市场生存的必要条件，优化生产计划至关重要。本文以实体制造业系统为灵感，研究了基于遗传算法优化工具的离散事件仿真。主要目的是开发仿真框架，作为日常制造计划的支持，重点是确定特定要求下产品批次的大小和进入顺序。程序是在遗传算法中开发的，并在Tecnomatix Plant Simulation软件包中实现。采用遗传算法优化平均流动时间(MFT)和总设置时间(TST)性能指标。对模型施加了准时交货的主要约束。研究结果表明，该解决方案在工业上是适用的，并提供了关于所定义产品的批量大小的准确信息，以及进入所观察系统的详细时间表和时间。解决方案以简洁的方式显示，作为制造操作计划的工具。©2019马里博尔大学CPE。版权所有。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Production Engineering & Management ENGINEERING, MANUFACTURINGMATERIALS SCIENC-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

5.90

自引率

22.20%

发文量

期刊介绍： Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering.