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      Research on integrated inventory transportation optimization of inbound logistics via a VMI-TPL model of an existing enterprise

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          Abstract

          <abstract> <p>Third-party logistics companies face a challenging task in minimizing inventory transportation costs due to the complexities of managing numerous suppliers. Effectively optimizing costs becomes a formidable problem for such companies. This empirical research has yielded strategies for minimizing the inventory transportation cost specifically for company D. Through a rigorous optimization process, the findings presented in this paper demonstrate an average reduction of 7.18% in company D's inventory transportation cost. By jointly optimizing inbound logistics inventory transportation under VMI-TPL mode, this study extends the theory of supplier managed inventory and improves the inbound logistics mode. The results of this study can provide quantitative support and decision-making references for the project operation management of company D and similar enterprises.</p> </abstract>

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          A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design

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            Organizational coordination in sustainable humanitarian supply chain: An evolutionary game approach

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              Robust optimization in spline regression models for multi-model regulatory networks under polyhedral uncertainty

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                Author and article information

                Journal
                Mathematical Biosciences and Engineering
                MBE
                American Institute of Mathematical Sciences (AIMS)
                1551-0018
                2023
                2023
                : 20
                : 9
                : 16212-16235
                Affiliations
                [1 ]School of Economics and Management, Beijing Jiaotong University, Beijing, China
                [2 ]School of Software Engineering, Beijing Jiaotong University, Beijing, China
                Article
                10.3934/mbe.2023724
                37920010
                b8aa2e31-4771-4eac-8b4a-637cd86b4270
                © 2023
                History

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