A1 Journal article (refereed), original research

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


Open Access publication

Publication Details
Authors: Rahimpour Golroudbary Saeed, Zahraee Seyed Mojib, Awan Usama, Kraslawski Andrzej
Publisher: Elsevier: Creative Commons Attribution Non-Commercial No-Derivatives License
Publication year: 2019
Language: English
Related Journal or Series Information: Procedia Manufacturing
Volume number: 30
Start page: 627
End page: 634
Number of pages: 8
ISSN: 2351-9789
eISSN: 2351-9789
JUFO-Level of this publication: 1
Open Access: Open Access publication

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


Last updated on 2019-24-04 at 11:21