IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p4702-d1089648.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/4702/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/6/4702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Attaran, Mohsen, 1989. "The automated factory: Justification and implementation," Business Horizons, Elsevier, vol. 32(3), pages 80-86.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yadong Luo & Huan Zhang & Juan Bu, 2019. "Developed country MNEs investing in developing economies: Progress and prospect," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(4), pages 633-667, June.
    2. Andersson, Ulf & Dasí, Àngels & Mudambi, Ram & Pedersen, Torben, 2016. "Technology, innovation and knowledge: The importance of ideas and international connectivity," Journal of World Business, Elsevier, vol. 51(1), pages 153-162.
    3. Chien-Hsing Wu & Shu-Chen Kao, 2016. "Appraisal of Knowledge Object Use via a Three-Phase Flow Profile," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-22, June.
    4. Richter, Nicole Franziska & Hauff, Sven, 2022. "Necessary conditions in international business research–Advancing the field with a new perspective on causality and data analysis," Journal of World Business, Elsevier, vol. 57(5).
    5. Ta, Yuntian & Li, Yanfeng & Cai, Wenan & Zhang, Qianqian & Wang, Zhijian & Dong, Lei & Du, Wenhua, 2023. "Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    6. Lin Cui & Fuming Jiang, 2010. "Behind ownership decision of Chinese outward FDI: Resources and institutions," Asia Pacific Journal of Management, Springer, vol. 27(4), pages 751-774, December.
    7. Xiao, Lei & Tang, Junxuan & Zhang, Xinghui & Bechhoefer, Eric & Ding, Siyi, 2021. "Remaining useful life prediction based on intentional noise injection and feature reconstruction," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    8. Norma Salgado-Orellana & Emilio Berrocal de-Luna & Calixto Gutiérrez-Braojos, 2021. "A scientometric study of doctoral theses on the Roma in the Iberian Peninsula during the 1977–2018 period," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 437-458, January.
    9. Phuc Do & Christophe Bérenguer, 2022. "Residual life-based importance measures for predictive maintenance decision-making," Journal of Risk and Reliability, , vol. 236(1), pages 98-113, February.
    10. Klaus E. Meyer & Chengguang Li & Andreas P. J. Schotter, 0. "Managing the MNE subsidiary: Advancing a multi-level and dynamic research agenda," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 0, pages 1-39.
    11. Zehetner, Dominik & Gansterer, Margaretha, 2022. "The collaborative batching problem in multi-site additive manufacturing," International Journal of Production Economics, Elsevier, vol. 248(C).
    12. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    13. Martin Baumers & Luca Beltrametti & Angelo Gasparre & Richard Hague, 2017. "Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 6957-6970, December.
    14. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    15. Simone Belli & Carlos Gonzalo-Penela, 2020. "Science, research, and innovation infospheres in Google results of the Ibero-American countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 635-653, May.
    16. Xiao, Lei & Zhang, Xinghui & Tang, Junxuan & Zhou, Yaqin, 2020. "Joint optimization of opportunistic maintenance and production scheduling considering batch production mode and varying operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    17. Tanut Waroonkun & Rodney Stewart, 2008. "Modeling the international technology transfer process in construction projects: evidence from Thailand," The Journal of Technology Transfer, Springer, vol. 33(6), pages 667-687, December.
    18. Fortwengel, Johann & Gutierrez Huerter O, Gabriela & Kostova, Tatiana, 2023. "Three decades of research on practice transfer in multinational firms: Past contributions and future opportunities," Journal of World Business, Elsevier, vol. 58(3).
    19. Ibrahim Ahmed Ghashim & Muhammad Arshad, 2023. "Internet of Things (IoT)-Based Teaching and Learning: Modern Trends and Open Challenges," Sustainability, MDPI, vol. 15(21), pages 1-21, November.
    20. Sajjad Jasimuddin & Jun Li & Nicholas Perdikis, 2015. "Linkage between geographic space and knowledge transfer by multinational enterprises: a structural equation approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 769-795, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4702-:d:1089648. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.