TY - JOUR
T1 - Designing a Resilient and Green Coal Supply Chain Network Under Facility Disruption and Demand Volatility
AU - Zeng, Lanyan
AU - Liu, Shi Qiang
AU - Kozan, Erhan
AU - Burdett, Robert
AU - Masoud, Mahmoud
AU - Chung, Sai Ho
N1 - Funding information:
The authors would like to acknowledge the financial support of the National Natural Science Foundation of China under Grant No. 71871064, as well as great assistance from Queensland University of Technology in Australia, King Fahd University of Petroleum & Minerals in Saudi Arabia, and Hong Kong Polytechnic University in Hong Kong.
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/9
Y1 - 2023/9
N2 - Few studies have addressed strategic-level disruptions and operational-level risks for the coal industry in the literature on mining supply chain management. In many developing countries, the coal industry plays a leading role in electric power generation and primarily contributes to carbon emissions. This study aims to design a resilient and green coal supply chain network (RG-CSCN) considering strategic-level disruptions, operational-level risks, and carbon emissions. A practical stochastic mixed-integer programming model is developed to optimise both economic and environmental objectives (i.e., the total network cost and the total carbon emissions cost). Our proposed model involves five resilience strategies: facility fortification, reserving emergency inventory, direct-to-port delivery, establishing reliable distribution centres, and multiple transportation routes. Based on real-world data from the coal industry, we conduct extensive computational experiments to evaluate the impacts of strategic-level disruptions and operational-level risks and to validate the applicability of the proposed five resilience strategies and their synergistic performance in coal supply chain management. Moreover, sensitivity analyses are carried out to examine the influences of different customer service levels and carbon tax policies in various scenarios.
AB - Few studies have addressed strategic-level disruptions and operational-level risks for the coal industry in the literature on mining supply chain management. In many developing countries, the coal industry plays a leading role in electric power generation and primarily contributes to carbon emissions. This study aims to design a resilient and green coal supply chain network (RG-CSCN) considering strategic-level disruptions, operational-level risks, and carbon emissions. A practical stochastic mixed-integer programming model is developed to optimise both economic and environmental objectives (i.e., the total network cost and the total carbon emissions cost). Our proposed model involves five resilience strategies: facility fortification, reserving emergency inventory, direct-to-port delivery, establishing reliable distribution centres, and multiple transportation routes. Based on real-world data from the coal industry, we conduct extensive computational experiments to evaluate the impacts of strategic-level disruptions and operational-level risks and to validate the applicability of the proposed five resilience strategies and their synergistic performance in coal supply chain management. Moreover, sensitivity analyses are carried out to examine the influences of different customer service levels and carbon tax policies in various scenarios.
KW - Coal industry
KW - Supply chain network (SCN) design
KW - Mixed-integer programming (MIP)
KW - Resilience strategies
KW - Carbon emissions
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85166469657&origin=inward
U2 - 10.1016/j.cie.2023.109476
DO - 10.1016/j.cie.2023.109476
M3 - Journal article
SN - 0360-8352
VL - 183
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
M1 - 109476
ER -