Process optimization through closed-loop Kaizen with discrete event simulation: A case study in China

Author:

Qu Yuanju1ORCID,Ming Xinguo1,Qiu Siqi1ORCID,Liu Zhiwen1,Zhang Xianyu1ORCID,Hou Zengtao2

Affiliation:

1. Shanghai Institute of Producer Service Development, Shanghai Research Center for industrial Informatics, Shanghai Key Lab of Advanced Manufacturing environment, Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China

2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen University, Shenzhen, P.R. China

Abstract

This article presents a closed-loop Kaizen system with discrete event simulation in the stage of design and reengineering of mass-customization production system. This approach contains four steps: current process analysis, production line design, discrete event simulation to solve the dynamic event questions, and implements and evaluation. The current process analysis and the production line design refer to the value stream mapping and the productivity analysis based on Kaizen principle, respectively. Production line designs are the modeling basis of discrete event simulation, and discrete event simulation feeds back results to the decision-makers to reduce waste and cost and improve the quality and productivity by reforming the production line. Therefore, by connecting the closed-loop Kaizen with discrete event simulation, the production line can be continuously and automatically improved. To demonstrate the potentials of the closed-loop Kaizen system, a case study was applied based on the original production layout and economic benefits were achieved. Moreover, this article indicates a direction for the full automation of process optimization.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 3 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. Self-decision mechanisms of smart production systems based on improved uncertainty theory and user-CFA;Computers & Industrial Engineering;2023-09

2. Productivity improvement by application of simulation and lean approaches in an multimodel assembly line;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-07-05

3. Research on optimization and simulation of sand casting production line based on VSM;International Journal of Lean Six Sigma;2022-02-16

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