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Simulation in the design and operation of manufacturing systems: state of the art and new trends

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  • Dimitris Mourtzis

Abstract

As the industrial requirements change at a rapid pace due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manufacturing system design arises more intensely than ever. Manufacturing systems simulation has proven to be a powerful tool for designing and evaluating a manufacturing system due to its low cost, quick analysis, low risk and meaningful insight that it may provide, improving thus the understanding of the influence of each component. Simulation comprises an indispensable set of IT tools and methods for the successful implementation of digital manufacturing. It allows experimentation and validation of product, process, and system design and configuration. This paper investigates the major historical milestones in the evolution of manufacturing systems simulation technologies and examines recent industrial and research approaches in key fields of manufacturing. It describes how the urge towards digitalisation of manufacturing in the context of the 4th Industrial revolution has shaped simulation in the design and operation of manufacturing systems and reviews the new approaches that have arisen in the literature. Particular focus is given to technologies in the digitalised factories of the future that are gaining ground in industrial applications simulation, offering multiple advantages.

Suggested Citation

  • Dimitris Mourtzis, 2020. "Simulation in the design and operation of manufacturing systems: state of the art and new trends," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 1927-1949, April.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:7:p:1927-1949
    DOI: 10.1080/00207543.2019.1636321
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    Cited by:

    1. He, Jigang & Gao, Hongli & Li, Shichao & Guo, Liang & Lei, Yuncong & Cao, Ao, 2024. "An intelligent maintenance decision-making based on cutters economic life," International Journal of Production Economics, Elsevier, vol. 267(C).
    2. Annarelli, Alessandro & Battistella, Cinzia & Nonino, Fabio & Parida, Vinit & Pessot, Elena, 2021. "Literature review on digitalization capabilities: Co-citation analysis of antecedents, conceptualization and consequences," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Andreas Eigner & Christian Stary, 2023. "The Role of Internet-of-Things for Service Transformation," SAGE Open, , vol. 13(1), pages 21582440231, March.
    4. Athar Ajaz Khan & János Abonyi, 2022. "Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy," Sustainability, MDPI, vol. 14(15), pages 1-40, August.
    5. František Čapkovič, 2023. "Dealing with Deadlocks in Industrial Multi Agent Systems," Future Internet, MDPI, vol. 15(3), pages 1-25, March.
    6. Hind Bril El-Haouzi & Etienne Valette & Bettina-Johanna Krings & António Brandão Moniz, 2021. "Social Dimensions in CPS & IoT Based Automated Production Systems," Societies, MDPI, vol. 11(3), pages 1-15, August.
    7. Carlos Alberto Barrera-Diaz & Amir Nourmohammadi & Henrik Smedberg & Tehseen Aslam & Amos H. C. Ng, 2023. "An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems," Mathematics, MDPI, vol. 11(6), pages 1-23, March.
    8. Davide Berardi & Franco Callegati & Andrea Giovine & Andrea Melis & Marco Prandini & Lorenzo Rinieri, 2023. "When Operation Technology Meets Information Technology: Challenges and Opportunities," Future Internet, MDPI, vol. 15(3), pages 1-16, February.
    9. Neven Hadžić & Viktor Ložar & Tihomir Opetuk & Robert Keser, 2023. "Transient Response of Homogenous and Nonhomogenous Bernoulli Production Lines," Mathematics, MDPI, vol. 11(24), pages 1-24, December.
    10. Zhifeng Shen & Xingnan Liang & Jinze Lv & Chunlu Liu & Junjie Li, 2022. "The Mechanism of Digital Environment Influencing Organizational Performance: An Empirical Analysis Based on Construction Data," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    11. Dimitris Mourtzis & John Angelopoulos & Nikos Panopoulos, 2022. "A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0," Energies, MDPI, vol. 15(17), pages 1-29, August.
    12. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    13. Dimitris Mourtzis & John Angelopoulos & Nikos Panopoulos, 2023. "The Future of the Human–Machine Interface (HMI) in Society 5.0," Future Internet, MDPI, vol. 15(5), pages 1-25, April.
    14. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    15. Diego Tlapa & Guilherme Tortorella & Flavio Fogliatto & Maneesh Kumar & Alejandro Mac Cawley & Roberto Vassolo & Luis Enberg & Yolanda Baez-Lopez, 2022. "Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review," IJERPH, MDPI, vol. 19(15), pages 1-23, July.
    16. Wang, Qian & Du, Zhuo-Ya, 2022. "Changing the impact of banking concentration on corporate innovation: The moderating effect of digital transformation," Technology in Society, Elsevier, vol. 71(C).
    17. Chen, Liping & Dai, Yishu & Ren, Fei & Dong, Xiaoying, 2023. "Data-driven digital capabilities enable servitization strategy——From service supporting the product to service supporting the client," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    18. Zijun Mao & Qi Zou & Tingting Bu & Ying Dong & Rongxiao Yan, 2023. "Understanding the Role of Service Quality of Government APPs in Continuance Intention: An Expectation–Confirmation Perspective," SAGE Open, , vol. 13(4), pages 21582440231, October.

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