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An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry

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  • Gupta, Pankaj
  • Mehlawat, Mukesh Kumar
  • Aggarwal, Usha
  • Charles, V.

Abstract

Due to increased attention to coal mining, the industrial transport in most countries including India necessitated search for sustainable transportation leading to environmental protection, maximum speed of delivery, minimum cost of transportation, and enhanced traffic safety. In this paper, we formulate an integrated multi-objective optimization model for an extended capacitated sustainable transportation problem in a coal mining industry using the analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques. The AHP technique is used to estimate the weights of different types of vehicles available for transportation on the basis of all three parameters of sustainability, namely economic, environmental, and corporate social responsibility. The DEA technique is used for calculating efficiency scores of vehicles on various routes of the given transportation network using inputs and outputs considered critical in the industrial sector particularly the mining industry. Furthermore, we reduce dependency on carbon based fuels for transportation leading to reduction in greenhouse gas emissions. A fuzzy interactive optimization approach is presented to get preferred compromise transportation solutions including the optimal number of vehicles employed for sustainable transportation. A real-world case of a mining industry in India is discussed to demonstrate applicability of the proposed optimization model and solution method. Moreover, some comparisons are done with existing transportation models in order to present advantages of our approach.

Suggested Citation

  • Gupta, Pankaj & Mehlawat, Mukesh Kumar & Aggarwal, Usha & Charles, V., 2021. "An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry," Resources Policy, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420717305068
    DOI: 10.1016/j.resourpol.2018.04.007
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    Cited by:

    1. Zhiqiang Zhu & Xuechi Zhang & Mengqing Xue & Yaoyao Song, 2023. "Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    2. Alaa Alden Al Mohamed & Sobhi Al Mohamed, 2023. "Application of fuzzy group decision-making selecting green supplier: a case study of the manufacture of natural laurel soap," Future Business Journal, Springer, vol. 9(1), pages 1-20, December.
    3. Bing Deng & Taoyu Chen & Zhenyu Pu & Xia Peng & Xiner Qin & Xiaomei Zhan & Jianghui Wen, 2022. "A Transportation Network Optimization Model for Livestock Manure under Different Terrains Considering Economic and Environmental Benefits," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    4. Elżbieta Jasińska & Michał Jasiński, 2022. "Mining Industry Corporate Social Responsibility to Education Development," Resources, MDPI, vol. 11(7), pages 1-18, July.
    5. Ottone Scammacca & Rasool Mehdizadeh & Yann Gunzburger, 2022. "Territorial Mining Scenarios for Sustainable Land-Planning: A Risk-Based Comparison on the Example of Gold Mining in French Guiana," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    6. Hala Hmamed & Asmaa Benghabrit & Anass Cherrafi & Nadia Hamani, 2023. "Achieving a Sustainable Transportation System via Economic, Environmental, and Social Optimization: A Comprehensive AHP-DEA Approach from the Waste Transportation Sector," Sustainability, MDPI, vol. 15(21), pages 1-26, October.

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