Sustainable Operations Management in Logistics Using Simulations and Modelling: A Framework for Decision Making in Delivery Management

Golroudbary, S, Zahraee, S, Awan, U and Kraslawski, A 2019, 'Sustainable Operations Management in Logistics Using Simulations and Modelling: A Framework for Decision Making in Delivery Management', Procedia Manufacturing, vol. 30, pp. 627-634.


Document type: Journal Article
Collection: Journal Articles

Title Sustainable Operations Management in Logistics Using Simulations and Modelling: A Framework for Decision Making in Delivery Management
Author(s) Golroudbary, S
Zahraee, S
Awan, U
Kraslawski, A
Year 2019
Journal name Procedia Manufacturing
Volume number 30
Start page 627
End page 634
Total pages 8
Publisher Elsevier
Abstract Among the other logistic functions, safeguarding the logistic management is an essential task for manufacturing firms. The purpose of this study is to propose a hybrid simulation framework, which can help to forecast events that can interrupt the operational process and have negative impacts on the logistic delivery system. Therefore, a number of research studies have addressed the logistic performance evaluations of fleet management issues in the supply chain. However, most existing research lack inbuilt of hybrid simulation models in logistic management that take into consideration of dynamic feedback and interactions effects, that would allow assessing and addressing the reliability of the logistic delivery system. For this reason, the hybrid simulation paradigm is implemented for modelling the complex logistics management system. This study suggests a novel hybrid-modelling framework with the combination of agent-based modelling and system dynamics to address the dynamic risk effects in the logistic delivery. The main contribution of this study is to suggest a new framework for decision making in delivery management to compare the outcomes of different logistics risk process. This research enables managers and scholars to combine two methods of simulation to reconfigure a framework in new combinations to produce a solution that is useful for logistic operations. The proposed framework offers decision-makers an alternative way of logistics management.
Subject Logistics and Supply Chain Management
Mechanical Engineering not elsewhere classified
Keyword(s) Sustainable Logistics System Dynamics Hybrid Simulation Agent-Based Modelling Sustainable Operations
DOI - identifier 10.1016/j.promfg.2019.02.088
Copyright notice © This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
ISSN 2351-9789
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