An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

Varun Tripathi, Somnath Chattopadhyaya, Alok Bhadauria, Shubham Sharma, Changhe Li, Danil Yurievich Pimenov, Khaled Giasin, Sunpreet Singh and Girish Dutt Gautam
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Varun Tripathi: Department of Mechanical Engineering, Accurate Institute of Management & Technology, Greater Noida 201306, India
Somnath Chattopadhyaya: Department of Mechanical Engineering, Indian Institute of Technology (ISM), Dhanbad 826004, India
Alok Bhadauria: Department of Materials Science and Engineering, Indian Institute of Technology, Kanpur 208016, India
Shubham Sharma: Department of Mechanical Engineering, Main Campus, IK Gujral Punjab Technical University, Kapurthala 144603, India
Changhe Li: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
Danil Yurievich Pimenov: Department of Automated Mechanical Engineering, South Ural State University, 454080 Chelyabinsk, Russia
Khaled Giasin: School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK
Sunpreet Singh: Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore
Girish Dutt Gautam: Department of Mechanical Engineering, Mangalmay Institute of Engineering & Technology, Greater Noida 201310, India

Sustainability, 2021, vol. 13, issue 21, 1-31

Abstract: Worldwide, industries are emphasizing the development of an agile system to sustain higher productivity, which can be applied to ensure improvements in all production conditions in industry 4.0. In the present scenario, several methods are used for improvements in production, such as value stream mapping, kaizen, just in time, Kanban, and total productive maintenance, etc., The objective of the present research article is to produce an agile system to sustain improvements in productivity through a methodology coupled with value stream mapping in industry 4.0. Value stream mapping is a lean-based method and is used for the maximization of productivity by the elimination of non-value-added activities. The proposed methodology has been validated by productivity enhancements achieved in a case study of the earthmoving machinery manufacturing sector. The study establishes that the proposed methodology would encourage industry personnel during decision-making processes, which would lead to improvements in production in industry 4.0.

Keywords: industry 4.0; value stream mapping; agile manufacturing; kaizen; lean manufacturing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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