Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet
Abstract: 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.
Methodology: 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, optimizing energy consumption in green supply chain, and
consequently decreasing pollution.
Keywords: green supply chain,
green supply chain management, queuing theory, LINGO, Closed-loop supply chain,
congestion
Author: Arvin Aziziankohan,
Fariborz Jolai, Mohammad Khalilzadeh, Roya Soltani, Reza Tavakkoli-Moghaddam
Journal Code: jptindustrigg170011
