Layout optimization of workshop equipment based on WITNESS

Author:

Wu Rongjie,Huang Zhonghua,Xie Ya

Abstract

Abstract According to the production order, the engine parts workshop of a company mainly produces four parts: valve hydraulic tappet, camshaft, camshaft gear and bearing cover. With the increasing demand of production, the production capacity brought by the original workshop equipment layout gradually cannot meet the increasing demand. In this paper, based on the WITNESS simulation software, we are preparing to collect the data of engine parts and components production workshop in order to get the data information of each element by simulation, and reasoning the unreasonable parts where the busy rate is too high and put forward several improvement methods. Through WITNESS software simulation, respectively, we can analyse whether there will have improvement and conclude the optimal improvement project. As the busy rate of lathe group and milling machine group of the original workshop layout is more than 80%, while the statistics are less than 60% by using the optimal plan to improve the existing layout, reaching a reasonable busy rate. It can be concluded that it is feasible to solve the problem of high work step busy rate and improve the overall production efficiency of the workshop through reasonable equipment layout optimization.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference6 articles.

1. Production Logistics System Simulation about Automobile Parts Shop Based on Witness and E-Factory;Zhou;Advanced Materials Research,2011

2. Optimization of assembly workshop of a clutch company based on lean production (in Chinese);Niu;Industrial Engineering and Management,2015

3. Improvement of workshop production system based on VSM and TOC;Jiang;Industrial Engineering Journal,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Construction of intelligent integrated model framework for the workshop manufacturing system via digital twin;The International Journal of Advanced Manufacturing Technology;2021-10-09

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