A Novel Smart Production Management System for the Enhancement of Industrial Sustainability in Industry 4.0

精益制造 制造工程 卓越运营 过程(计算) 持续性 先进制造业 过程管理 管理制度 卓越 生产力 生产(经济) 制造业 工程类 工程管理 计算机科学 业务 运营管理 营销 经济 宏观经济学 生态学 法学 操作系统 生物 政治学
作者
Varun Tripathi,Somnath Chattopadhyaya,Alok Mukhopadhyay,Suvandan Saraswat,Shubham Sharma,Changhe Li,S. Rajkumar,Fasika Bete Georgise
出处
期刊:Mathematical Problems in Engineering [Hindawi Publishing Corporation]
卷期号:2022: 1-24 被引量:27
标识
DOI:10.1155/2022/6424869
摘要

In industry 4.0, shop floor management teams are increasingly focused on developing an unprecedented strategy to avoid financial losses and address the challenges and problems encountered in operations management. In the present scenario, the management teams use various process optimization approaches for operational control, including lean manufacturing, smart manufacturing, the internet of things, and artificial intelligence. The process optimization approach is used to maximize productivity within limited constraints on the shop floor. The present research aims to develop a smart production management system and suggest an efficient process optimization approach to enhancing industrial sustainability by identifying problems and challenges encountered in the complex shop-floor conditions in industry 4.0. The developed production management system has been prepared by classifying the challenges and problems found in the previous research work and organizing brainstorming sessions. The developed management system has been validated by a comprehensive investigation of a case study of an earthmoving machinery manufacturing unit. The analysis showed that the developed system could enhance operation excellence and industrial sustainability in industry 4.0 by optimizing the utilization of resources on the shop floor within limited constraints. The authors of the present article strongly believe that the developed production management system will improve operational excellence and would be beneficial for industry personnel and researchers in controlling operations management in shop floor management of heavy machinery manufacturing, including industry 4.0.
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