IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v34y2023i7d10.1007_s10845-022-01974-5.html
   My bibliography  Save this article

Measuring manufacturing system complexity: a literature review

Author

Listed:
  • Germán Herrera Vidal

    (Fundacion Universitaria Tecnológico Comfenalco
    Universidad Nacional Lomas de Zamora)

  • Jairo R. Coronado-Hernández

    (Universidad de La Costa)

  • Claudia Minnaard

    (Universidad Nacional Lomas de Zamora)

Abstract

The measurement of complexity is a metric that can be used as a restructuring parameter in a production system, and it is also useful for the analysis of improvements based on the impact of operational indicators. This article aims to review the literature on the measurement of complexity in manufacturing systems. For this purpose, a systematic method based on six stages has been used, with the support of databases and computer media. In terms of contribution, it is worth highlighting that the theory of complexity is immersed in manufacturing systems, represented in approaches, methods, elements and models for its measurement. From the results, the research aims to find vectors for future challenges and gaps that support the strengthening of the industrial environment.

Suggested Citation

  • Germán Herrera Vidal & Jairo R. Coronado-Hernández & Claudia Minnaard, 2023. "Measuring manufacturing system complexity: a literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2865-2888, October.
    • Handle: RePEc:spr:joinma:v:34:y:2023:i:7:d:10.1007_s10845-022-01974-5
    DOI: 10.1007/s10845-022-01974-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-022-01974-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-022-01974-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ann-Christine Falck & Malin Tarrar & Sandra Mattsson & Lina Andersson & Mikael Rosenqvist & Rikard Söderberg, 2017. "Assessment of manual assembly complexity: a theoretical and empirical comparison of two methods," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7237-7250, December.
    2. BLOME, Constantin & SCHOENHERR, Tobias & ECKSTEIN, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: a knowledge-based view," LIDAM Reprints CORE 2603, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Eduardo Manuel Godinho Rodrigues & Radu Godina & Mousa Marzband & Edris Pouresmaeil, 2018. "Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity," Energies, MDPI, vol. 11(11), pages 1-21, October.
    4. Sandra Mattsson & Malin Tarrar & Åsa Fast-Berglund, 2016. "Perceived production complexity – understanding more than parts of a system," International Journal of Production Research, Taylor & Francis Journals, vol. 54(20), pages 6008-6016, October.
    5. Sharon Novak & Steven D. Eppinger, 2001. "Sourcing By Design: Product Complexity and the Supply Chain," Management Science, INFORMS, vol. 47(1), pages 189-204, January.
    6. Junhai Ma & Wandong Lou & Yi Tian, 2019. "Bullwhip effect and complexity analysis in a multi-channel supply chain considering price game with discount sensitivity," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5432-5452, September.
    7. Stefan Seuring & Maria Goldbach & Julia Koplin, 2004. "Managing time and complexity in supply chains: two cases from the textile industry," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 1(2), pages 180-198.
    8. Giachetti, Ronald E. & Martinez, Luis D. & Saenz, Oscar A. & Chen, Chin-Sheng, 2003. "Analysis of the structural measures of flexibility and agility using a measurement theoretical framework," International Journal of Production Economics, Elsevier, vol. 86(1), pages 47-62, October.
    9. Bertsimas, Dimitris & Griffith, J. Daniel & Gupta, Vishal & Kochenderfer, Mykel J. & Mišić, Velibor V., 2017. "A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems," European Journal of Operational Research, Elsevier, vol. 263(2), pages 664-678.
    10. Ibrahim H. Garbie, 2012. "Concepts and measurements of industrial complexity: a state-of-the-art survey," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 12(1), pages 42-83.
    11. Wu, Y. & Frizelle, G. & Efstathiou, J., 2007. "A study on the cost of operational complexity in customer-supplier systems," International Journal of Production Economics, Elsevier, vol. 106(1), pages 217-229, March.
    12. Sivadasan, S. & Efstathiou, J. & Calinescu, A. & Huatuco, L. Huaccho, 2006. "Advances on measuring the operational complexity of supplier-customer systems," European Journal of Operational Research, Elsevier, vol. 171(1), pages 208-226, May.
    13. Y R Wu & L H Huatuco & G Frizelle & J Smart, 2013. "A method for analysing operational complexity in supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 654-667, May.
    14. Jonsson, Patrik & Kjellsdotter Ivert, Linea, 2015. "Improving performance with sophisticated master production scheduling," International Journal of Production Economics, Elsevier, vol. 168(C), pages 118-130.
    15. Blome, Constantin & Schoenherr, Tobias & Eckstein, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 307-316.
    16. Romano, Pietro, 2009. "How can fluid dynamics help supply chain management?," International Journal of Production Economics, Elsevier, vol. 118(2), pages 463-472, April.
    17. Park, Kijung & Okudan Kremer, Gül E., 2015. "Assessment of static complexity in design and manufacturing of a product family and its impact on manufacturing performance," International Journal of Production Economics, Elsevier, vol. 169(C), pages 215-232.
    18. Dominik Eckstein & Matthias Goellner & Constantin Blome & Michael Henke, 2015. "The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity," International Journal of Production Research, Taylor & Francis Journals, vol. 53(10), pages 3028-3046, May.
    19. Wang, Kung-Jeng & Wee, Hui-Ming & Gao, Shin-Feng & Chung, Shen-Lian, 2005. "Production and inventory control with chaotic demands," Omega, Elsevier, vol. 33(2), pages 97-106, April.
    20. Todd Watkins & Maryellen Kelley, 2001. "Manufacturing scale, lot sizes and product complexity in defense and commercial manufacturing," Defence and Peace Economics, Taylor & Francis Journals, vol. 12(3), pages 229-247.
    21. Perona, Marco & Miragliotta, Giovanni, 2004. "Complexity management and supply chain performance assessment. A field study and a conceptual framework," International Journal of Production Economics, Elsevier, vol. 90(1), pages 103-115, July.
    22. Sihan Huang & Guoxin Wang & Xiwen Shang & Yan Yan, 2018. "Reconfiguration point decision method based on dynamic complexity for reconfigurable manufacturing system (RMS)," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 1031-1043, June.
    23. Kamil J. Mizgier, 2017. "Global sensitivity analysis and aggregation of risk in multi-product supply chain networks," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 130-144, January.
    24. Vladimir Modrak & Zuzana Soltysova, 2018. "Development of operational complexity measure for selection of optimal layout design alternative," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7280-7295, December.
    25. Hanif D. Sherali & Barbara M. P. Fraticelli & Russell D. Meller, 2003. "Enhanced Model Formulations for Optimal Facility Layout," Operations Research, INFORMS, vol. 51(4), pages 629-644, August.
    26. David A. Broniatowski & Joel Moses, 2016. "Measuring Flexibility, Descriptive Complexity, and Rework Potential in Generic System Architectures," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 207-221, May.
    27. Yusuf, Yahaya Y. & Gunasekaran, A. & Musa, Ahmed & El-Berishy, Nagham M. & Abubakar, Tijjani & Ambursa, Hafsat M., 2013. "The UK oil and gas supply chains: An empirical analysis of adoption of sustainable measures and performance outcomes," International Journal of Production Economics, Elsevier, vol. 146(2), pages 501-514.
    28. Ibrahim H. Garbie & Ashraf Shikdar, 2011. "Analysis and estimation of complexity level in industrial firms," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 8(2), pages 175-197.
    29. Nima Hamta & M. Akbarpour Shirazi & Sara Behdad & S.M.T. Fatemi Ghomi, 2018. "Modeling and measuring the structural complexity in assembly supply chain networks," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 259-275, February.
    Full references (including those not matched with items on IDEAS)

    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. Menezes, Mozart B.C. & Ruiz-Hernández, Diego & Chen, Yen-Tsang, 2021. "On the validity and practical relevance of a measure for structural complexity," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Ruiz-Hernández, Diego & Menezes, Mozart B.C. & Amrani, Aicha, 2019. "An information-content based measure of proliferation as a proxi for structural complexity," International Journal of Production Economics, Elsevier, vol. 212(C), pages 78-91.
    3. Geyi, Dan’Asabe Godwin & Yusuf, Yahaya & Menhat, Masha S. & Abubakar, Tijjani & Ogbuke, Nnamdi J., 2020. "Agile capabilities as necessary conditions for maximising sustainable supply chain performance: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 222(C).
    4. Park, Kijung & Okudan Kremer, Gül E., 2015. "Assessment of static complexity in design and manufacturing of a product family and its impact on manufacturing performance," International Journal of Production Economics, Elsevier, vol. 169(C), pages 215-232.
    5. Morgan, Tyler R. & Roath, Anthony S. & Glenn Richey, Robert, 2023. "How risk, transparency, and knowledge influence the adaptability and flexibility dimensions of the responsiveness view," Journal of Business Research, Elsevier, vol. 158(C).
    6. Qian Zhou & Shuxiang Wang, 2021. "Study on the Relations of Supply Chain Digitization, Flexibility and Sustainable Development—A Moderated Multiple Mediation Model," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    7. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.
    8. Melek Akın Ateş & Robert Suurmond & Davide Luzzini & Daniel Krause, 2022. "Order from chaos: A meta‐analysis of supply chain complexity and firm performance," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 3-30, January.
    9. El-Khalil, Raed & Mezher, Mohamad Ali, 2020. "The mediating impact of sustainability on the relationship between agility and operational performance," Operations Research Perspectives, Elsevier, vol. 7(C).
    10. Marta Pérez-Pérez & Canan Kocabasoglu-Hillmer & Ana María Serrano-Bedia & María Concepción López-Fernández, 2019. "Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 1-23, December.
    11. Delic, Mia & Eyers, Daniel R., 2020. "The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry," International Journal of Production Economics, Elsevier, vol. 228(C).
    12. Lin, Yun Hui & Wang, Yuan & Lee, Loo Hay & Chew, Ek Peng, 2021. "Consistency matters: Revisiting the structural complexity for supply chain networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    13. Yingjie Ju & Yue Wang & Ye Cheng & Jun Jia, 2019. "Investigating the Impact Factors of the Logistics Service Supply Chain for Sustainable Performance: Focused on Integrators," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    14. Shekarian, Mansoor & Reza Nooraie, Seyed Vahid & Parast, Mahour Mellat, 2020. "An examination of the impact of flexibility and agility on mitigating supply chain disruptions," International Journal of Production Economics, Elsevier, vol. 220(C).
    15. Cheng-Wen Lee & Hsiao Chuan Chen & Choong Leng Peng & Shu Hui Chen, 2023. "Sustainability of Taiwanese SME Family Businesses in the Succession Decision-Making Agenda," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    16. Tseng, Shu-Mei, 2014. "The impact of knowledge management capabilities and supplier relationship management on corporate performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 39-47.
    17. Demeter, Krisztina & Szász, Levente & Rácz, Béla-Gergely, 2016. "The impact of subsidiaries’ internal and external integration on operational performance," International Journal of Production Economics, Elsevier, vol. 182(C), pages 73-85.
    18. Sivadasan, Suja & Smart, Janet & Huaccho Huatuco, Luisa & Calinescu, Anisoara, 2013. "Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface," International Journal of Production Economics, Elsevier, vol. 145(1), pages 253-262.
    19. Kangkang Yu & Cheng Qian & Lingbo Zhang, 2021. "Understanding sustainable development flexibility: An information perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2173-2183, May.
    20. Christian L. Rossetti & Donald P. Warsing & Barbara B. Flynn & Cecil C. Bozarth, 2023. "Complex and lean or lean and complex? The role of supply chain complexity in lean production," Operations Management Research, Springer, vol. 16(3), pages 1382-1412, September.

    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:spr:joinma:v:34:y:2023:i:7:d:10.1007_s10845-022-01974-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.