Abstract
Supply chain collaboration has been recognized as a potential business differentiator and a source of creating competitive advantage. One of the most common collaborations in the supply chain is vendor managed inventory. In this paper a vendor managed inventory system at two echelons with one vendor ...
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Supply chain collaboration has been recognized as a potential business differentiator and a source of creating competitive advantage. One of the most common collaborations in the supply chain is vendor managed inventory. In this paper a vendor managed inventory system at two echelons with one vendor and multi retailers is studied. At this multi products system, goods are send to retailers cyclically. At reality, there is no exactness about available capacity of warehouses space and budget of both partners. Therefore stochastic constraints of warehouse space and budget are added to the model. The goal of the model is to minimize the total cost of the supply chain by optimizing the order quantity of each product for each retailer. At the end a numerical example of the model is solved by GAMS24.1.2 software. The sensitive analysis on the partnerؘs parameters cleared that the parameters of the vendor is more effective to mitigate the total cost of the supply chain.
Mohammad Mohammadi; Kamran Forghani
Abstract
The cell formation problem and the group layout problem, both are two important problems in designing a cellular manufacturing system. The cell formation problem is consist of grouping parts into part families and machines into production cells. In addition, the group layout problem is to find the arrangement ...
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The cell formation problem and the group layout problem, both are two important problems in designing a cellular manufacturing system. The cell formation problem is consist of grouping parts into part families and machines into production cells. In addition, the group layout problem is to find the arrangement of machines within the cells as well as the layout of cells.In this paper, an integrated approach is presented to solve the cell formation, group layout and routing problems. By Considering the dimension of machines, the width of the aisles, and the maximum permissible length of the plant site, a new framework, called spiral layout, is suggested for the layout of cellular manufacturing systems. To extend the applicability of the problem, parameters such as part demands, operation sequences, processing times and machine capacities are considered in the problem formulation. The problem is formulated as a bi-objective integer programming model, in which the first objective is to minimize the total material handling cost and the second one is to maximize the total similarity between machines. As the problem is NP-hard, three metaheuristic algorithms, based on Genetic Algorithm and Simulated Annealing are proposed to solve it. To enhance the performance of the algorithms, a Dynamic Programming algorithm is embedded within them. The performance of the algorithms is evaluated by solving numerical examples from the related literature. Finally, a comparison is carried out between the proposed spiral layout and the linear multi-row layout which has recently presented in the literature
