641
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Maximising stakeholder learning by looping again through the simulation life-cycle: A case study in public transport

Pages 2640-2659 | Received 19 Apr 2021, Accepted 08 Nov 2021, Published online: 02 Dec 2021
 

Abstract

Building a simulation model of a complex system requires significant investment of expertise, time, and expense. In order for an organisation to realise the greatest return on this investment, it is advantageous to re-use a model or extend the simulation model’s life-cycle to maximise learning generated from it. Existing studies typically end after a ‘single loop’ of the simulation life-cycle, with the computer model produced at the end of it suitable for addressing the initial requirements of stakeholders. Here we explore how to further extend the modelling life-cycle by adding a ‘second loop’ in which an existing simulation model is introduced to a new group of stakeholders and then enhanced to capture additional features of the system that are of interest to this new group, but were not identified as requirements by the first group. Developed from real-world experience working with the large train operator Eurostar International Limited, we present details of our proposed methodological framework and highlight the tangible benefits of adding a second loop to the simulation life-cycle. We discuss the roles of modellers and stakeholders in the two loops of the life-cycle and compare and contrast the relationship between the two parties in each.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Innovate UK.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 277.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.