Collaboration analysis for a three-tier sustainable logistics network considering 3PL using BCVR technique

Zahra Hassanzadeh (), Iraj Mahdavi (), Ali Tajdin () and Hamed Fazlollahtabar ()
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Zahra Hassanzadeh: Mazandaran University of Science and Technology
Iraj Mahdavi: Mazandaran University of Science and Technology
Ali Tajdin: Mazandaran University of Science and Technology
Hamed Fazlollahtabar: Damghan University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 11, No 54, 13470 pages

Abstract: Abstract Logistics networks are significant for successful implementation of supply chain networks. Different configurations of logistics network exist regarding application areas and industrial requirements. One important consideration currently attracted the attention of researchers is sustainability focusing on economic, social and environmental factors. When the players of logistics network rises, the need for splitting functions among elements of the logistics network also increases. Therefore, in this paper a three-tier logistics network including supplier, producer and consumer is configured. Transportation is outsourced to a third-party logistics partner. Main factors of sustainability and their corresponding indices are collected and integrated to the tiers of the proposed logistics network. Collaboration is considered as a new concept to be embedded on the sustainable logistics network. Collaboration parameters are analyzed in a cubic space with logistics tiers and sustainability indices. Benefit-Cost-Value-Risk technique is developed for the computation purposes. The output is the sustainable value of the logistics network and significance score of collaboration parameters. Sensitivity analyses are performed on the impacts of collaboration and sustainability using sustainable value, significance of collaboration parameters on sustainability indices using significance score, and multi-aspect analysis in cubic space based on scenario planning. The numerical study emphasizes the applicability and effectiveness of the proposed methodology. Also, comparative studies with the conventional multi-attribute decision-making approaches indicate the efficiency of the newly developed technique of this paper.

Keywords: Sustainable logistics; Collaboration; BCVR technique (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02626-7

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