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Optimal green supply-chain model design considering full truckload

Shih-Hsien Tseng (Department of Business Administration, Chung Yuan Christian University, Chungli, Taiwan)
Hui Ming Wee (Department of Industrial and System Engineering, Chung Yuan Christian University, Chungli, Taiwan)
Pei Shen Song (Department of Industrial and System Engineering, Chung Yuan Christian University, Chungli, Taiwan)
Schnell Jeng (Department of Industrial and System Engineering, Chung Yuan Christian University, Chungli, Taiwan)

Kybernetes

ISSN: 0368-492X

Article publication date: 5 August 2019

Issue publication date: 23 September 2019

364

Abstract

Purpose

Supply chain management (SCM) focuses smart logistics and quality service. Diverse elements such as design, procurement, production and sale policies are the keys to SCM efficiency. Due to worsening environmental pollution in recent years, many businesses, government agencies and consumers have become more aware of greenhouse gases (GHG) emissions. In response, the government has established new environmental regulations to control various GHG, such as CO2 and sulfur dioxide. Therefore, to reduce pollution and its adverse effects, the authors have promoted environmental concerns by developing environmental friendly policies. The purpose of this paper is to develop a multi-objective decision making model that integrates both forward and reverse logistics to determine how best to incorporate recycling and reduce manufacturing costs.

Design/methodology/approach

In this study, the authors developed a multi-objective decision-making model that integrates both forward and reverse logistics to determine how best to incorporate recycling and reduce manufacturing costs. They used the normalized normal constraint method as proposed by Messac et al. (2003) to generate a series of uniform lines on a Pareto Frontier chart.

Findings

Based on the results of this study, the authors can determine the trade-off between costs and emissions and design the most environmental-friendly and economical strategy for production.

Research limitations/implications

This study is limited to a case study on paper manufacturing.

Practical implications

The authors considered the full truckload discount policy in which buyers can reduce their purchase costs by increasing the number of full truckload product orders; this will reduce transportation costs and also minimize overall carbon emissions.

Social implications

This study encourages industries to focus on environmental friend policies and social responsibilities.

Originality/value

The authors investigated the impacts of the paper making industry on economy and environment. An increase in demand will negatively impact the environment by causing CO2 emissions to increase from higher production and the felling of more trees to provide raw materials for manufacturers (paper mills).

Keywords

Citation

Tseng, S.-H., Wee, H.M., Song, P.S. and Jeng, S. (2019), "Optimal green supply-chain model design considering full truckload", Kybernetes, Vol. 48 No. 9, pp. 2150-2174. https://doi.org/10.1108/K-07-2018-0415

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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