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      Revenue-Sharing Contract Models for Logistics Service Supply Chains with Mass Customization Service

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      Mathematical Problems in Engineering
      Hindawi Limited

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          Abstract

          The revenue-sharing contract is one of the most important supply chain coordination contracts; it has been applied in various supply chains. However, studies related to service supply chains with mass customization (MC) are lacking. Considering the equity of benefit distribution between the members of service supply chains, in this paper, we designed two revenue-sharing contracts. The first contract for the maximum equity of a single logistics service integrator (LSI) and single functional logistics service provider (FLSP) in a two-echelon logistics service supply chain was designed by introducing the fair entropy function (“one to one” model). Furthermore, the method is extended to a more complex supply chain, which consists of a single LSI and multiple FLSPs. A new contract was designed not only for considering the equity of an LSI and each FLSP but also for the equity between each FLSP (“one to N ” model). The “one to one” model in three-echelon LSSC is also provided. The result exemplifies that, whether in the “one to one” model or “one to N ” model, there exists a best interval of customized level when the revenue-sharing coefficient reaches its maximum.

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          Most cited references33

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          Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations

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            The mass customization decade: An updated review of the literature

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              Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment.

              Considering the difficulty of fuzzy synthetic evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight evaluation process using entropy method was introduced. This improved method for determination of weight of the evaluating indicators was applied in water quality assessment of the Three Gorges reservoir area. The results showed that this method was favorable for fuzzy synthetic evaluation when there were more than one evaluating objects. One calculation was enough for calculating every monitoring point. Compared with the original evaluation method, the method predigested the fuzzy synthetic evaluation process greatly and the evaluation results are more reasonable.
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                Author and article information

                Contributors
                Journal
                Mathematical Problems in Engineering
                Mathematical Problems in Engineering
                Hindawi Limited
                1024-123X
                1563-5147
                2015
                2015
                : 2015
                : 1-21
                Affiliations
                [1 ]College of Management and Economics, Tianjin University, Tianjin 300072, China
                Article
                10.1155/2015/572624
                fae01a1b-f269-4761-97cf-657c96d9ffd7
                © 2015

                http://creativecommons.org/licenses/by/3.0/

                History

                Genetics
                Genetics

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