1. Proceedings
  2. I3M
  3. 2021
  4. HMS
  5. 10.46354/i3m.2021.hms.009

Discrete-event simulation in logistics: a critical review and framework for classification

  • a Michela Tosti, 
  • bEleonora Bottani 
  • a,b Department of Engineering and Architecture, University of Parma, Viale delle Scienze 181/A, 43124 Parma, Italy
Cite as
Tosti M., Bottani E. (2021). Discrete-event simulation in logistics: a critical review and framework for classification. Proceedings of the 23rd International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation(HMS 2021), pp. 70-76. 
DOI: https://doi.org/10.46354/i3m.2021.hms.009

Abstract

This paper has been designed in the form a systematic literature review targeting 164 papers between 2009 and 2020, intended for evaluating the current state-of-the-art of simulation usage in the logistics and supply chain management fields. This study grounds on the previous publication by Manuj et al. (2009), who have provided a detailed 8-step approach to be followed for a rigorous implementation of discrete-event simulation (DES). Starting from this previous study, this paper first of all evaluates the rigor in the application of DES in the logistics and supply chain management literature, in terms of the consistency of the published studies with the guideline proposed by Manuj et al. (2009). A second purpose of this research is to delineate a new method for classifying the published research on DES on the basis of the intrinsic quality of research, besides the more traditional analyses of journals and authors based on number of publications and citations.

References

  1. Bottani E. & Franchi B., (2021). A research methodology for systematic literature reviews: application to zone picking and preliminary results. Proceedings of the XXVI Summer School “Francesco Turco” – Industrial Systems Engineering, September 8-10, 2021, Bergamo (Italy) – forthcoming.
  2. Brailsford, S.C., Eldabi, T., Kunc, M.,Mustafee, N., & Osorio, A.F. (2019). Hybrid simulation modelling in operational research: A state-of-the-art review. European Journal of Operational
    Research, 278(3), 721-737.
  3. Dewey, A. & Drahota, A. (2016). Introduction to systematic reviews: online learning module Cochrane Training. Available at: https://training.cochrane.org/interactivelearning/module-1-introduction-conducting-systematic-reviews
  4. Dewey, A. & Drahota, A. (2016). Introduction to systematic reviews: online learning module Cochrane Training. Available at: https://training.cochrane.org/interactivelearning/module-1-introduction-conducting-systematic-reviews
  5. Fazel, S., & Wolf, A. (2017). What is the impact of a research publication? Evidence-based mental health, 20(2),33–34.
  6. Hartley, J. (2008). Academic Writing and Publishing: A Practical Handbook. Routledge.
  7. Malhotra, M. K., & Grover, V. (1998). An assessment of survey research in POM: From constructs to theory. Journal of Operations Management, 16(4), 407-425.
  8. Manuj, I., Mentzer, J. T., & Bowers, M. R. (2009). Improving the rigor of discrete-event simulation in logistics and supply chain research. International Journal of Physical Distribution & Logistics Management, 39(3), 172-201.
  9. Murphy, A. (2010). Academic Writing and Publishing Matters for the scholar-researcher - First edition. Directorate of Academic Affairs
  10. Vieira, A.A.C., Dias, L.M.S., Santos, M.Y., Pereira, G.A.B., & Oliveira, J.A., (2020). Supply chain data
    integration: A literature review. Journal of Industrial Information Integration, 19, article no. 100161.