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The main investigation of the paper is to develop the defuzzification method of type-2 gamma fuzzy variables. For this purpose, we have proposed the deffuzification technique of type-2 gamma fuzzy variables with the help of CV based reduction method. The paper also focuses on the significance to use the type-2 fuzzy variables especially the type-2 gamma fuzzy variables. In this paper, a transportation...
Traditionally, some common algorithms to optimize the integration of logistics resource are linear programming, dynamic programming, and etc., however, these algorithms can't well solve many complex optimization issues, especially nonlinear issues, because of the continuous growth of issue complexity. On the contrary, intelligent computing technology has many advantages in solving complex, nonlinear...
Modern supply chain management emphasizes coordination of all sectors and improvement of the whole performance. However, most manufacturers focus only on the individual elements of the supply chain (such as inventory, and delivery routes) and fail to consider the interactions in the supply chain. Thus, in this paper, we integrate two principal problems named the inventory control problem and the transportation...
Logistics network design is one of the most important fields in supply chain management (SCM). For some real-world applications, it is often that the Transportation Problem (TP) is extended to satisfy several other additional constraints or performed in several stages. There is Transportation Problem with exclusionary side constraints (escTP) proposed by Sun as the example. In this model, the TP is...
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