Simulation in manufacturing and business: A review

By Mohsen Jahangirian, Tillal Eldabi, Aisha Naseer, Lampros K. Stergioulas, Terry Young. European Journal of Operational Research, 2010

627 citations recorded by the source corpus.

This paper reports the results of a review of simulation applications published within peer-reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of simulation techniques within manufacturing and business. The review is characterised by three factors: wide coverage, broad scope of the simulation techniques, and a focus on real-world applications. A structured methodology was followed to narrow down the search from around 20,000 papers to 281. Results include interesting trends and patterns. For instance, although discrete event simulation is the most popular technique, it has lower stakeholder engagement than other techniques, such as system dynamics or gaming. This is highly correlated with modelling lead time and purpose. Considering application areas, modelling is mostly used in scheduling. Finally, this review shows an increasing interest in hybrid modelling as an approach to cope with complex enterprise-wide systems.

Subfields: Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8e7caabb5ab6e205188ab6987b6f70c7687658e2

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In Management Information Systems

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Citations in the corpus

Applications of simulation within the healthcare context (2010, methodology): “They can be used to forecast the outcome of a change in strategy or predict and evaluate the implications of the implementation of an alternative policy (Wierzbicki, 2007).”
Health-aware hierarchical control for smart manufacturing using reinforcement learning (2017, methodology): “Simulation is also widely accepted as a tool for modeling manufacturing systems [12], [24], [25], [33], [41].”
Simulation in the design and operation of manufacturing systems: state of the art and new trends (2019, methodology): “A signiﬁcant step of SCADA and System Under Control is a hybrid modelling and simulation approach (Jahangirian et al. 2010), which is used to realise the identiﬁcation and assessment of hidden vulnerabilities (elaborated more in the corresponding section).”
Hybrid simulation modelling in operational research: A state-of-the-art review (2019, background): “A survey of the use of simulation in manufacturing and business undertaken nearly ten years ago ( Jahangirian et al. 2010 ) found that among all the simulation approaches, discrete-event simulation (DES), system dynamics (SD) and agent-based simulation (ABS) were the most widely used in operational…”