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• W3043727983 abstract "Purpose Selection of standardized modular containers (SSMC) is counted as one of the most important driving factors that ensure the Physical Internet (PI) to realize the varieties of goals of sustainability simultaneously, thus overcoming the great challenge of modern logistics in nowadays global supply chain. However, previous research studies on SSMC seldom paid attention to freight behavior and shippers’ segment, which are described in several fundamental conceptual works as the most essential factors that should be taken into account when doing SSMC. Design/methodology/approach This paper defines two preference matrices to characterize the freight behavior and shippers’ segment, and then integrates these two matrices into a centralized multi-criteria method to determine the optimal SSMC. Findings The SSMC derived by the proposed methodology is found to be Pareto-optimal. A managerial implication for shippers to further improve efficiency is summarized as well. Originality/value First, the authors characterized the freight behavior and shippers’ segment by two preference matrices and then integrated them into a centralized multi-criteria method. To the best of the authors’ knowledge, this is the first SSMC-related paper that takes shippers' behaviors and preferences into consideration when making the selection. The authors’ attempt is expected to fill in the research gap that has existed until now. Second, the SSMC derived by the proposed methodology is found to be Pareto-optimal, ensuring the required sustainability. Finally, the authors summarized a managerial implication for shippers to further improve the efficiency from the aspects of production and design." @default.
• W3043727983 created "2020-07-23" @default.
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• W3043727983 date "2020-07-14" @default.
• W3043727983 modified "2023-10-16" @default.
• W3043727983 title "Centralized selection of standardized modular containers: a multi-criteria method considering freight behavior and shipper segment" @default.
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• W3043727983 doi "https://doi.org/10.1108/imds-01-2020-0034" @default.
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