A Novel Smart Production Management System for the Enhancement of Industrial Sustainability in Industry 4.0. (13th April 2022)

• Record Type: Journal Article
• Authors: Tripathi, Varun; Chattopadhyaya, Somnath; Mukhopadhyay, A. K.; Saraswat, Suvandan; Sharma, Shubham; Li, Changhe; Rajkumar, S.; Georgise, Fasika Bete
• Other Names: Chang Kuei-Hu Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2022(2022)
• Publication Date: 2022-04-13
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2022/6424869
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.