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A comprehensive interdisciplinary review of mine supply chain management

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  • Zeng, Lanyan
  • Liu, Shi Qiang
  • Kozan, Erhan
  • Corry, Paul
  • Masoud, Mahmoud

Abstract

There is an everlasting distance and interdependence between mines and end-users as it involves different types of equipment, infrastructure, and facilities, including excavators, trucks, processing plants, stockpiles, railways, ports, ships, etc. Precise management of a complex mine-to-customer supply chain system is essential to guarantee delivering mineral products from remote mines to overseas clients in a well-organised way. In the literature of mining management, both academic scholars and industrial managers are paying more and more attention to develop state-of-the-art mine supply chain management (MSCM) methodologies. To meet this emerging demand, this study aims to conduct a comprehensive and up-to-date literature review on MSCM research topics by evaluating over 200 papers, mostly published in the last decade (2010–2021). We analyse the characteristics of the reviewed papers from perspectives of the mine supply chain's links and the interdisciplinary classification. Thus, we classify these papers into nine main categories, namely, capacity planning, logistics, inventory control, network design, economic issues (e.g., pricing), efficiency evaluation, risk control, environmental protection, and production scheduling. Based on this classification, we present potential research opportunities and managerial insights in the area of MSCM.

Suggested Citation

  • Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721002853
    DOI: 10.1016/j.resourpol.2021.102274
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    1. Cinna Seifi & Marco Schulze & Jürgen Zimmermann, 2021. "Solution procedures for block selection and sequencing in flat-bedded potash underground mines," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 409-440, June.
    2. Zhang, Jian & Nault, Barrie R. & Dimitrakopoulos, Roussos G., 2019. "Optimizing a mineral value chain with market uncertainty using benders decomposition," European Journal of Operational Research, Elsevier, vol. 274(1), pages 227-239.
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