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Adequate response performance is required for the planning of a cooperative logistics network covering multiple enterprises, because this process needs a human expert's evaluation from many aspects. To satisfy this requirement, we propose an accurate model based on mixed integer programming for optimizing cooperative logistics networks where "round transportation" exists together with "depot transportation" including lower limit constraints of loading ratio for round transportation vehicles. Furthermore, to achieve an interactive response performance, a dummy load is introduced into the model instead of integer variables.To improve logistics efficiency, we intend to build logistics cooperation over multiple enterprises that belong to a single supply chain. The purpose of our research is to provide an effective planning method for a cooperative logistics network comprised of many enterprises such as manufacturing plants, parts suppliers, and transportation companies.A simple mathematical optimal plan is not usually readily accepted because of conflicts that arise in the different enterprises in the supply chain. Thus, a human expert must evaluate the plan from many aspects and coordinate it.The minimum cost flow model is applied to optimize a large-scale distribution network. This model is premised on uniform transportation of "depot transportation." That is, all parts suppliers deliver their parts to depots, and the depots transport these parts to factories. However, another kind of transportation, "round transportation" is used in the cooperative network. A round-transportation vehicle goes around to several parts suppliers to pick up parts and then delivers them directly to a factory where they will be used. Thus, a simple mathematical model based on the minimum cost flow problem cannot precisely evaluate a cooperative network.An integer programming-based method was proposed for the planning of a long distance transportation network. Although this method is suitable for use in a complicated network such as ours, it is not satisfactory in terms of the response performance.To implement the planning process of the cooperative logistics network, the technical problems of interactive response performance and human expert-level optimality must be addressed.To achieve both interactive response performance and high otimimality, a model for round transportation without integer-variables is proposed. Instead of integer variable, real variable, which indicates the shortage of load from criterion of each round transportation route, is introduced to the model.That is, if the loading ratio of a round transportation vehicle is less than the lower limit, dummy loads are taken to the vehicle, and the transportation cost of the dummy loads is added to the objective function.We can evaluate the cooperative logistics network including round transportation with the following process; (1) To search round transportation routes where the load does not reach criterion, we solve the above model. (2) Round transportation routes that tak...
Adequate response performance is required for the planning of a cooperative logistics network covering multiple enterprises, because this process needs a human expert's evaluation from many aspects. To satisfy this requirement, we propose an accurate model based on mixed integer programming for optimizing cooperative logistics networks where "round transportation" exists together with "depot transportation" including lower limit constraints of loading ratio for round transportation vehicles. Furthermore, to achieve an interactive response performance, a dummy load is introduced into the model instead of integer variables.To improve logistics efficiency, we intend to build logistics cooperation over multiple enterprises that belong to a single supply chain. The purpose of our research is to provide an effective planning method for a cooperative logistics network comprised of many enterprises such as manufacturing plants, parts suppliers, and transportation companies.A simple mathematical optimal plan is not usually readily accepted because of conflicts that arise in the different enterprises in the supply chain. Thus, a human expert must evaluate the plan from many aspects and coordinate it.The minimum cost flow model is applied to optimize a large-scale distribution network. This model is premised on uniform transportation of "depot transportation." That is, all parts suppliers deliver their parts to depots, and the depots transport these parts to factories. However, another kind of transportation, "round transportation" is used in the cooperative network. A round-transportation vehicle goes around to several parts suppliers to pick up parts and then delivers them directly to a factory where they will be used. Thus, a simple mathematical model based on the minimum cost flow problem cannot precisely evaluate a cooperative network.An integer programming-based method was proposed for the planning of a long distance transportation network. Although this method is suitable for use in a complicated network such as ours, it is not satisfactory in terms of the response performance.To implement the planning process of the cooperative logistics network, the technical problems of interactive response performance and human expert-level optimality must be addressed.To achieve both interactive response performance and high otimimality, a model for round transportation without integer-variables is proposed. Instead of integer variable, real variable, which indicates the shortage of load from criterion of each round transportation route, is introduced to the model.That is, if the loading ratio of a round transportation vehicle is less than the lower limit, dummy loads are taken to the vehicle, and the transportation cost of the dummy loads is added to the objective function.We can evaluate the cooperative logistics network including round transportation with the following process; (1) To search round transportation routes where the load does not reach criterion, we solve the above model. (2) Round transportation routes that tak...
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