An investigation into modeling and simulation approaches for sustainable operations management. (October 2016)

• Record Type: Journal Article
• Authors: Fakhimi, Masoud; Mustafee, Navonil; Stergioulas, Lampros K
• Is Part Of: Simulation. Volume 92:Number 10(2016:Oct.)
• Page Start: 907
• Page End: 919
• Publication Date: 2016-10
• Subjects: Sustainable operations management -- sustainable development -- modeling and simulation -- hybrid modeling; Computer simulation -- Periodicals; 003.3
• DOI: 10.1177/0037549716662533
• Languages: English
• ISSNs: 0037-5497

Abstract

Modeling and simulation (M&S) studies have been widely used in industry to gain insights into existing or proposed systems of interest. The majority of these studies focus on productivity-related measures to evaluate systems' performance. This paradigm, however, needs to be shifted to cope with the advent of sustainability, as it is increasingly becoming an important issue in the managerial and the organizational agendas. The application of M&S to evaluate the often-competing metrics associated with sustainable operations management (SOM) is likely to be a challenge. The aim of this review is to investigate the underlying characteristics of SOM that lend towards modeling of production and service systems, and further to present an informed discussion on the suitability of specific modeling techniques in meeting the competing metrics for SOM. The triple bottom line, which is a widely used concept in sustainability and includes environmental, social, and economic aspects, is used as a benchmark for assessing this. Findings from our research suggest that a hybrid (combined) M&S approach could be an appropriate method for SOM analysis; however, it has its challenges.