Green Supply Chain Management Using the Queuing Theory to Handle Congestion and Reduce Energy Consumption and Emissions From Supply Chain Transportation Fleet

View/Open
Document typeArticle
Defense date2017-05
PublisherOmniaScience
Rights accessOpen Access
Abstract
Purpose: Nowadays, governments and people pay more attention to use green products due to
environmental pollution, irreplaceable energy and shortage of resources. Green products are
resulted from the application of green supply chain management strategies to the organizations’
performance strategies, so that we can reduce environmental pollutants and wastes and take a step
towards saving energy with limited resources.
Design/methodology/approach: In this paper, the effect of reducing energy consumption in
green supply chain is examined by using queuing theory and transportation models. Data was
generated and solved by a commercial optimization epackage.
Findings: The findings indicate that suitable assignment of existing transportation fleet with
specified capacity, and using queueing theory in a closed-loop network to reduce the queue length
and handle congestion, can cause a reduction in energy consumption by optimizing
transportation and waiting times in a green supply chain.
Originality/value: Adopting investment strategy in improving the environmental performance
of the supply chain, will yield in many advantages and benefits. This article investigates the effect of queuing theory on reducing waiting time and optimizing energy consumption in green supply
chain.
CitationAziziankohan, A. [et al.]. Green Supply Chain Management Using the Queuing Theory to Handle Congestion and Reduce Energy Consumption and Emissions From Supply Chain Transportation Fleet. "Journal of Industrial Engineering and Management", Maig 2017, vol. 10, núm. 2, p. 213-236.
DLB-28744-2008
ISSN2013-0953
Files | Description | Size | Format | View |
---|---|---|---|---|
2170-9566-1-PB.pdf | 2,338Mb | View/Open |
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
Attribution-NonCommercial 3.0 Spain