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

Author

Listed:
  • 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
    Department of Mechanical Engineering, Chandigarh University, Chandigarh, Punjab 140413, India)

  • Girish Dutt Gautam

    (Department of Mechanical Engineering, Mangalmay Institute of Engineering & Technology, Greater Noida 201310, India)

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.

Suggested Citation

  • Varun Tripathi & Somnath Chattopadhyaya & Alok Bhadauria & Shubham Sharma & Changhe Li & Danil Yurievich Pimenov & Khaled Giasin & Sunpreet Singh & Girish Dutt Gautam, 2021. "An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11997-:d:668233
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    References listed on IDEAS

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    Cited by:

    1. Saulius Gudas & Karolis Noreika, 2022. "Causal Interactions in Agile Application Development," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    2. Varun Tripathi & Somnath Chattopadhyaya & Alok Kumar Mukhopadhyay & Shubham Sharma & Changhe Li & Sunpreet Singh & Waqas Ul Hussan & Bashir Salah & Waqas Saleem & Abdullah Mohamed, 2022. "A Sustainable Productive Method for Enhancing Operational Excellence in Shop Floor Management for Industry 4.0 Using Hybrid Integration of Lean and Smart Manufacturing: An Ingenious Case Study," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    3. Anouar Hallioui & Brahim Herrou & Polinpapilinho F. Katina & Ricardo S. Santos & Ona Egbue & Małgorzata Jasiulewicz-Kaczmarek & Jose Miguel Soares & Pedro Carmona Marques, 2023. "A Review of Sustainable Total Productive Maintenance (STPM)," Sustainability, MDPI, vol. 15(16), pages 1-30, August.

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