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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17991
Title: Monte Carlo simulation based approach to manage risks in operational networks in green supply chain
Authors: Mangla S.K.
Kumar, Pradeep
Barua, Mukesh Kumar
Yarlagadda P.K.D.V.
Xavior M.A.
Published in: Proceedings of Procedia Engineering
Abstract: Different green supply chain (GSC) operational activities may involve different risks and risk factors and or drivers. Its effect could be delay in order, quality damage or may even loss in business, if managers do not account them on timely. To meet the consequences, therefore, in this paper, we attempt to focus on the operational GSC risk evaluation and management by capturing of uncertainty and evaluating the risks by means of simulation to demonstrate the delay/disturbance consequences of the risk (i.e., the loss in business). This work follows a procedure in which, initially, the various uncertainties have been identified and assessed. Later, a risk evaluation has been followed in which the Monte Carlo Simulation (MCS) results exemplify the delay/disturbance consequence of the risk is carried out. Inputs in this research are taken from a GSCM case example of an Indian poly plastic manufacturing company. © 2014 Published by Elsevier Ltd.
Citation: Proceedings of Procedia Engineering, (2014), 2186- 2194
URI: https://doi.org/10.1016/j.proeng.2014.12.462
http://repository.iitr.ac.in/handle/123456789/17991
Issue Date: 2014
Publisher: Elsevier Ltd
Keywords: Green supply chain
Monte Carlo simulation
Risk
Sustainability
Uncertainity
ISSN: 18777058
Author Scopus IDs: 55735821600
55952759400
36611317400
Author Affiliations: Mangla, S.K., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India
Kumar, P., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India
Barua, M.K., Department of Management Studies, Indian Institute of Technology, Roorkee, India
Funding Details: The author greatly thanks to the reviewers for their constructive comments on the paper. The authors acknowledge great thanks for the support to the research facilities provided by Indian Institute of Technology, Roorkee, India at the Department of Mechanical Engineering. The authors would also wish to thank The Indian Institute of Technology, Roorkee Research Committee for the financial and the technical support.
Corresponding Author: Mangla, S.K.; Department of Mechanical and Industrial Engineering, Indian Institute of TechnologyIndia
Appears in Collections:Conference Publications [ME]
Conference Publications [MS]

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