Sustainability dimensions and PM2.5 in supply chain logistics

Jiangtao Hong, Chaher Alzaman (), Ali Diabat and Akif Bulgak
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Jiangtao Hong: Shanghai University of International Business and Economics
Chaher Alzaman: Concordia University
Ali Diabat: New York University Abu Dhabi
Akif Bulgak: Concordia University

Annals of Operations Research, 2019, vol. 275, issue 2, No 5, 339-366

Abstract: Abstract Sustainable Supply Chain Management (SSCM) is a topic of growing interest among researchers. Many works have investigated the negative impact of CO2 emission, but have put less emphasis on other emission types. Many works have focused on the economic and environmental dimensions of sustainability but lacked content on the social dimension. Since SSCM is concerned with all aspects of sustainability, this work undertakes the three dimensions of sustainability and models particulate pollution (PM2.5) which has been cited in the literature to have a negative impact on human health. The paper constructs a mathematical programming model that minimizes the transportation costs and the undesirable social medical costs for remedying the release of PM2.5 into the atmosphere. The paper solves a model that evaluates different transportation modes, transportation costs, carbon emissions, PM2.5, medical costs, and capturing options. Moreover, the work utilizes a Monte Carlo simulation to best present the inherent variations in the model. Largely, the work provides stakeholders with transportation mode choices and greening opportunity investments to minimize the overall transportation costs while respecting physical and operational constraints.

Keywords: Particular matter; PM2.5; Supply chains; Sustainability; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10479-018-3077-7

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