Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

Varun Tripathi; Somnath Chattopadhyaya; A. K. MukhopadhyaySuvandan SaraswatShubham SharmaChanghe LiS. RajkumarKuei-Hu Chang

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Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

机译：Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

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Nowadays, industries are emphasizing the implementation of a smart shop floor management method because of different types of problems faced in controlling the production activities in Industry 4.0. Several shop floor management methods are currently implemented in the present Industry 4.0 scenario, including lean manufacturing, logistics, Internet of things, smart manufacturing, cyber-physical system, and artificial intelligence. The present research work is focused on the development and Taguchi validation methodology of a data-driven decision-making system using L9 orthogonal array for smart shop floor management based on the relationship between production sustainability and constraints. The proposed system has been validated by a comprehensive investigation of a case of mining machinery manufacturing unit. The result of the investigation revealed that productivity has been enhanced by effective controlling of production activities on the shop floor. Taguchi L9 orthogonal array method of design of experiments is implemented to enhance flexibility for shop floor control and meanwhile minimize the production time due to inefficient operating conditions on the shop floor. Taguchi method was implemented for critical conditions affecting production lead time and resource utilization. The authors have detailed discussion on developing present novel hybrid integration of lean and smart manufacturing approaches to enhance operational excellence in production activities and other complicated manufacturing environment on the shop floor within available resources. The present finding demonstrates that the adopted digital technologies under smart manufacturing with lean manufacturing are found to be cost-effective approach under different environmental conditions. The proposed system has significantly improved the efficiency of production management and operational performance by using smart systems and has proved effective in improving the financial position by making a safer shop floor management approach. In this article, a robust problem-solving system is provided. The present work aims to introduce revolutionary methods for Industry 4.0 that would result in productivity enhancement and beneficial impact on industry persons by improving the smart shop floor management. The study also provides valuable perspective and sustainable guidelines to facilitate industry individuals to implement lean and smart manufacturing for productivity enhancement in the production environment of Industry 4.0.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2022年第21期|1.1-1.20|共20页
作者
Varun Tripathi; Somnath Chattopadhyaya; A. K. MukhopadhyaySuvandan SaraswatShubham SharmaChanghe LiS. RajkumarKuei-Hu Chang;
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Department of Mechanical Engineering Accurate Institute of Management & Technology Greater Noida UP;

Indian Institute of Technology (ISM) Dhanbad;

Department of Mining Machinery Engineering Indian Institute of Technology (ISM) DhanbadDepartment of Mechanical Engineering JSS Academy of Technical Education NoidaDepartment of Mechanical Engineering IK Gujral Punjab Technical University Main Campus Kapurthala 144603 Punjab ||Mechanical Engineering Department University Center for Research & Development Chandigarh University Mohali 140413 PunjabSchool of Mechanical and Automotive Engineering Qingdao University of Technology Qingdao 266520Department of Mechanical Engineering Faculty of Manufacturing Institute of Technology Hawassa University Awasa;

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Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

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