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Advanced Manufacturing Management: A Systematic Literature Review

Author

Listed:
  • Polinpapilinho F. Katina

    (Department of Informatics and Engineering Systems, University of South Carolina Upstate, 800 University Way, Spartanburg, SC 29303, USA)

  • Casey T. Cash

    (Department of Industrial Engineering, University of Arkansas, 1 University of Arkansas, Fayetteville, AR 72701, USA)

  • Logan R. Caldwell

    (Department of Informatics and Engineering Systems, University of South Carolina Upstate, 800 University Way, Spartanburg, SC 29303, USA)

  • Chrystopher M. Beck

    (Department of Informatics and Engineering Systems, University of South Carolina Upstate, 800 University Way, Spartanburg, SC 29303, USA)

  • James J. Katina

    (Charlottesville City Schools, 1562 Dairy Road, Charlottesville, VA 22903, USA)

Abstract

One of the long-standing principles of phenomenological understanding is focused on the role of definition. Definitions are enablers in making something definite, distinct, or clear. This study aims to generate the definition of an emerging domain of Advanced Manufacturing Management using a literature review. First, an examination of Advanced Manufacturing Management (AMM) at an institutional level is provided, revealing institutions and courses that currently populate the domain. Second, a systematic literature review for AMM is conducted utilizing and triangulating between Web of Science, Science Direct/Elsevier, and Google Scholar. The results, supported by VOSviewer, suggest a dire need for a formal definition and conceptual foundations of AMM. Third, a proposed conceptual foundation that can enable a balanced development of AMM addressing the philosophical, theoretical, epistemological, ontological, axiological, axiomatic, methodology, methods, and applications aspects is suggested to support and holistically advance manufacturing and its problem domain. This conceptual foundation supports an alternative level of thinking, decision, action, and interpretation appropriate for the AMM problem domain, simultaneously advancing its science, engineering, applications, and practice. The article concludes with several challenges for the AMM field, a path forward for developing and advancing AMM as a field capable of providing a robust approach to dealing with emerging manufacturing-related issues.

Suggested Citation

  • Polinpapilinho F. Katina & Casey T. Cash & Logan R. Caldwell & Chrystopher M. Beck & James J. Katina, 2023. "Advanced Manufacturing Management: A Systematic Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4702-:d:1089648
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    References listed on IDEAS

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    1. Attaran, Mohsen, 1989. "The automated factory: Justification and implementation," Business Horizons, Elsevier, vol. 32(3), pages 80-86.
    2. Wang, Pien & Tong, Tony W. & Koh, Chun Peng, 2004. "An integrated model of knowledge transfer from MNC parent to China subsidiary," Journal of World Business, Elsevier, vol. 39(2), pages 168-182, May.
    3. Yuquan Meng & Yuhang Yang & Haseung Chung & Pil-Ho Lee & Chenhui Shao, 2018. "Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    4. Michael Gusenbauer, 2019. "Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 177-214, January.
    5. Schlie, Theodore W. & Goldhar, Joel D., 1995. "Advanced manufacturing and new directions for competitive strategy," Journal of Business Research, Elsevier, vol. 33(2), pages 103-114, June.
    6. Xia, Tangbin & Dong, Yifan & Xiao, Lei & Du, Shichang & Pan, Ershun & Xi, Lifeng, 2018. "Recent advances in prognostics and health management for advanced manufacturing paradigms," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 255-268.
    7. Charisios Achillas & Dimitrios Tzetzis & Maria Olga Raimondo, 2017. "Alternative production strategies based on the comparison of additive and traditional manufacturing technologies," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3497-3509, June.
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    1. Mukun Yuan & Jian Liu & Zheyuan Chen & Qingda Guo & Mingzhe Yuan & Jian Li & Guangping Yu, 2024. "Predicting Energy Consumption for Hybrid Energy Systems toward Sustainable Manufacturing: A Physics-Informed Approach Using Pi-MMoE," Sustainability, MDPI, vol. 16(17), pages 1-27, August.

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