Modeling, analysis and optimization of carousel-based flexible manufacturing system

IF 4 Q2 ENGINEERING, INDUSTRIAL

Journal of Industrial and Production Engineering Pub Date : 2022-01-31 DOI:10.1080/21681015.2022.2031323

Hafiz Zahid Nabi, Tauseef Aized, F. Riaz

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引用次数: 5

Abstract

ABSTRACT This manuscript presents an approach to model, evaluate, and optimize a mixed-model carousel-based flexible manufacturing system (FMS). In the proposed FMS, a carousel-based layout is enclosed by different manufacturing cells and assembly cells, which are equipped with multiple multipurpose machines (undergoing planned breakdowns), robots and a conveyor for the production and assembly tasks. The FMS exhibits intra and inter-cellular routing flexibility allowing the parts to adopt different routes within cells and in between cells to ensure continuous production under planned resources failure conditions. For system modeling, a comprehensive hierarchical Colored Petri net (CPN) approach is used, and the result of several input variables has been revealed on the output indicators in particular cycle time, throughput, and work-in-process (WIP). Further, the design of experiment (DoE) and response surface methods (RSM) have been employed for system optimization. The cycle time and WIP responses have been minimized and throughput has been maximized.

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基于旋转木马的柔性制造系统建模、分析与优化

本文提出了一种建模、评估和优化基于旋转木马的混合模型柔性制造系统(FMS)的方法。在拟议的FMS中，一个基于传送带的布局由不同的制造单元和装配单元包围，这些单元配备了多个多用途机器(进行计划故障)、机器人和用于生产和装配任务的传送带。FMS具有胞内和胞间路由灵活性，允许部件在胞内和胞间采用不同的路由，以确保在计划资源故障条件下的连续生产。在系统建模方面，采用了一种综合的分层彩色Petri网(CPN)方法，并将几个输入变量的结果揭示在特定的周期时间、吞吐量和在制品(WIP)的输出指标上。在此基础上，采用实验设计(DoE)和响应面法(RSM)对系统进行优化。周期时间和在制品响应被最小化，吞吐量被最大化。

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

Journal of Industrial and Production Engineering ENGINEERING, INDUSTRIAL-

CiteScore

7.50

自引率

6.70%

发文量