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Streamlining operations management by classifying methods and concepts of Lean and Ergonomics within a sociotechnical framework

Author

Listed:
  • Stefan Brunner

    (Technical University of Munich, TUM School of Engineering and Design, Chair of Ergonomics)

  • Candice Kam Yuching

    (Technical University of Munich, TUM School of Engineering and Design, Chair of Ergonomics)

  • Klaus Bengler

    (Technical University of Munich, TUM School of Engineering and Design, Chair of Ergonomics)

Abstract

Companies have implemented Lean to increase efficiency and competitiveness. However, the importance of Ergonomics is often neglected, resulting in ergonomic problems and lower profitability and acceptance of Lean. This study presents a comprehensive approach to Operations and Production Management (OPM) considering sociotechnical synergies. For Lean and Ergonomics, literature-based main methodologies and categories are defined. These main methodologies/categories are used as search-term combinations in a further literature search. This literature is divided into “Production worker” (PW), “Physical environment” (PE), “Industry 4.0 technology” (i4.0), “Company culture” (CC), and “Manufacturing methods” (MM) based on a metric, the sociotechnical system (STS) concept. This makes it possible to determine the percentage of participation in Lean and Ergonomics articles by STS category. The main differences can be seen in PE (Lean: 10%; Ergonomics: 24%) and i4.0 (Lean: 29%; Ergonomics: 15%). However, for PW (Lean: 18%; Ergonomics: 21%), CC (Lean: 19%; Ergonomics: 20%), and MM (Lean: 26%; Ergonomics: 20%), there are similarities between Lean and Ergonomics. The OPM user should manage the PW, CC, and MM factors equally with Lean and Ergonomics, as the objective is the same. For PW, CC, and MM measures, a professional separation into Lean/OPM and Ergonomics/Occupational Medicine does not make sense. Concerning i4.0, there is a danger that the human factor in (especially innovation-oriented) OPM will be unjustly neglected and that too much emphasis will be placed on supposedly human-free technology.

Suggested Citation

  • Stefan Brunner & Candice Kam Yuching & Klaus Bengler, 2024. "Streamlining operations management by classifying methods and concepts of Lean and Ergonomics within a sociotechnical framework," Operations Management Research, Springer, vol. 17(3), pages 1172-1196, September.
    • Handle: RePEc:spr:opmare:v:17:y:2024:i:3:d:10.1007_s12063-024-00488-y
    DOI: 10.1007/s12063-024-00488-y
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    References listed on IDEAS

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    1. Jitendra Kumar & Vimlesh Kumar Soni & Geeta Agnihotri, 2014. "Impact of TPM implementation on Indian manufacturing industry," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(1), pages 44-56, January.
    2. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Cauchick-Miguel, Paulo A. & Kurnia, Sherah & Jurburg, Daniel, 2021. "Integration of Industry 4.0 technologies into Total Productive Maintenance practices," International Journal of Production Economics, Elsevier, vol. 240(C).
    3. Bongsug (Kevin) Chae & David Olson, 2022. "Technologies and applications of Industry 4.0: insights from network analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 60(12), pages 3682-3704, June.
    4. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    5. Hal R Varian, 2014. "Beyond Big Data," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(1), pages 27-31, January.
    6. Hardcopf, Rick & Liu, Gensheng (Jason) & Shah, Rachna, 2021. "Lean production and operational performance: The influence of organizational culture," International Journal of Production Economics, Elsevier, vol. 235(C).
    7. Xiaohong Chen & Tianhu Deng & Zuo-Jun Max Shen & Yi Yu, 2023. "Mind the gap between research and practice in operations management," IISE Transactions, Taylor & Francis Journals, vol. 55(1), pages 32-42, January.
    8. Wael Zayat & Ozlem Senvar, 2020. "Framework Study for Agile Software Development Via Scrum and Kanban," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-24, June.
    9. Stock, Gregory N. & McFadden, Kathleen L. & Gowen III, Charles R., 2007. "Organizational culture, critical success factors, and the reduction of hospital errors," International Journal of Production Economics, Elsevier, vol. 106(2), pages 368-392, April.
    10. Maria Pia Ciano & Patrick Dallasega & Guido Orzes & Tommaso Rossi, 2021. "One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1386-1410, March.
    11. Guodong Huang & Jie Chen & Yacob Khojasteh, 2021. "A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 579-596, February.
    12. repec:dau:papers:123456789/14113 is not listed on IDEAS
    13. Wei Jiang & Jiyin Liu & Yun Dong & Li Wang, 2021. "Assignment of duplicate storage locations in distribution centres to minimise walking distance in order picking," International Journal of Production Research, Taylor & Francis Journals, vol. 59(15), pages 4457-4471, August.
    14. Janna Olynick & Han Z. Li, 2020. "Organizational Culture and Its Relationship with Employee Stress, Enjoyment of Work and Productivity," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 12(2), pages 1-14, June.
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