{"title":"Modeling and Simulation Analysis of Influencing Factors of MES Implementation in Zero Defect Management Enterprises in Digital Transformation","authors":"Yu Guo;Shan Liao;Shi Yin;Giulia Bruno;Deming Zhang","doi":"10.1109/TEM.2024.3486282","DOIUrl":null,"url":null,"abstract":"Digital management system is widely used in the business activities of enterprises. Practice has proved that the implementation of the manufacturing execution system (MES) can better monitor and manage the production process, improve the production efficiency of enterprises, and effectively realize zero defect management (ZDM). Against this background, the influencing factors of implementing MES in ZDM enterprises in digital transformation were obtained by using the literature extraction-Delphi method, and the relationship between the factors was analyzed by using the system dynamics simulation model in this study. It is found that different from the existing research works on the implementation of MES in enterprises, staff preparation and level of information sharing are the most influential factors and play an important role in the implementation of MES in ZDM enterprises. Equipment preparation and client preparation followed closely, with supplier implementation team and scale infrastructure conditions playing a key role in providing capability support. This finding provides the direction for enterprises to improve the relevant implementation measures in time to ensure the effective implementation of MES in ZDM enterprises, and also provides a breakthrough for relevant researchers to find valuable research fields.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Engineering Management","FirstCategoryId":"91","ListUrlMain":"https://ieeexplore.ieee.org/document/10735099/","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Digital management system is widely used in the business activities of enterprises. Practice has proved that the implementation of the manufacturing execution system (MES) can better monitor and manage the production process, improve the production efficiency of enterprises, and effectively realize zero defect management (ZDM). Against this background, the influencing factors of implementing MES in ZDM enterprises in digital transformation were obtained by using the literature extraction-Delphi method, and the relationship between the factors was analyzed by using the system dynamics simulation model in this study. It is found that different from the existing research works on the implementation of MES in enterprises, staff preparation and level of information sharing are the most influential factors and play an important role in the implementation of MES in ZDM enterprises. Equipment preparation and client preparation followed closely, with supplier implementation team and scale infrastructure conditions playing a key role in providing capability support. This finding provides the direction for enterprises to improve the relevant implementation measures in time to ensure the effective implementation of MES in ZDM enterprises, and also provides a breakthrough for relevant researchers to find valuable research fields.
数字化管理系统被广泛应用于企业的经营活动中。实践证明,实施制造执行系统(MES)可以更好地监控和管理生产过程,提高企业生产效率,有效实现零缺陷管理(ZDM)。在此背景下,本研究利用文献提取-德尔菲法获得了数字化转型中 ZDM 企业实施 MES 的影响因素,并利用系统动力学仿真模型分析了各因素之间的关系。研究发现,与现有的企业实施 MES 的研究著作不同,人员准备和信息共享水平是影响最大的因素,对 ZDM 企业实施 MES 起着重要作用。设备准备和客户准备紧随其后,供应商实施团队和规模基础设施条件在提供能力支持方面发挥着关键作用。这一发现为企业及时完善相关实施措施,确保在 ZDM 企业中有效实施 MES 提供了方向,也为相关研究人员找到有价值的研究领域提供了突破口。
期刊介绍:
Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.