دورية أكاديمية
An optimisation model for sustainable multi-commodity transportation planning
العنوان: | An optimisation model for sustainable multi-commodity transportation planning |
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المؤلفون: | Aggarwal, Usha, Mehlawat, Mukesh Kumar, Gupta, Pankaj, Charles, Vincent |
المصدر: | Aggarwal , U , Mehlawat , M K , Gupta , P & Charles , V 2024 , ' An optimisation model for sustainable multi-commodity transportation planning ' , RAIRO Operations Research , vol. 58 , no. 2 , pp. 1835-1869 . https://doi.org/10.1051/ro/2024049Test |
سنة النشر: | 2024 |
المجموعة: | Queen's University Belfast: Research Portal |
مصطلحات موضوعية: | Sustainable supply chain, multi-objective optimisation, multi-commodity transportation, mixed-integer decision problem, TOPSIS technique, DEA technique, /dk/atira/pure/subjectarea/asjc/1800/1803, name=Management Science and Operations Research, /dk/atira/pure/subjectarea/asjc/1400/1408, name=Strategy and Management, /dk/atira/pure/subjectarea/asjc/1400/1405, name=Management of Technology and Innovation, /dk/atira/pure/subjectarea/asjc/3300/3313, name=Transportation, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure, name=SDG 9 - Industry, Innovation, and Infrastructure, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production, name=SDG 12 - Responsible Consumption and Production, /dk/atira/pure/sustainabledevelopmentgoals/climate_action, name=SDG 13 - Climate Action, /dk/atira/pure/sustainabledevelopmentgoals/partnerships, name=SDG 17 - Partnerships for the Goals |
الوصف: | This paper aims to establish a supply chain model that significantly reduces economic and environmental costs. It comprises all activities related to procurement, production, and distribution planning. The proposed multi-objective multi-commodity optimisation model deals with the four conflicting objectives of reducing costs and emissions and choosing top-priority suppliers and the most efficient vehicles. We apply an integrated AHP (analytic hierarchy process) and TOPSIS (technique for order preference by similarity to an ideal solution) technique to determine the weights of suppliers, depending on three indices of criteria, alternatives, and raw material. This paper proposes a cross-efficiency evaluation method using data envelopment analysis (DEA) to ensure that the cross-evaluation of different types of vehicles for evaluating peers is as consistent as possible. The mutually contradictory objectives give rise to several Pareto-optimal solutions. The optimal compromise solutions are found using a lexicographic goal programming technique. We present a real-world case to demonstrate the effectiveness of the proposed methodology, followed by numerical comparisons and additional insights. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | English |
العلاقة: | https://pure.qub.ac.uk/en/publications/48d8e26f-6a6c-4105-925b-69331048ff43Test |
DOI: | 10.1051/ro/2024049 |
الإتاحة: | https://doi.org/10.1051/ro/2024049Test https://pure.qub.ac.uk/en/publications/48d8e26f-6a6c-4105-925b-69331048ff43Test https://pureadmin.qub.ac.uk/ws/files/586271725/Optiplanning.pdfTest |
حقوق: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.297BF0F9 |
قاعدة البيانات: | BASE |
DOI: | 10.1051/ro/2024049 |
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