Esmaeil Mehdizadeh; Vahid Rahimi
Volume 13, Issue 37 , July 2015, , Pages 123-159
Abstract
Abstract
This paper presents a mathematical model for solving dynamic cell formation problem, operator assignment and the inter-cellular and intra-cellular layouts simultaneously. The proposed model includes three objectives, the first objective seeks to minimize inter and intra-cell part movement, ...
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Abstract
This paper presents a mathematical model for solving dynamic cell formation problem, operator assignment and the inter-cellular and intra-cellular layouts simultaneously. The proposed model includes three objectives, the first objective seeks to minimize inter and intra-cell part movement, machine relocation, second objective minimize operator related cost, third objective maximize ratio of consecutive forward flows. The model is Multi-objective; therefore, the LP-metric approach is used to solve it. In order to validate the model, the proposed model has been solved by using Lingo software. Then, due to NP-hardness of the cell formation problem, for solving large scale problems, a multi-objective simulated annealing algorithm proposed. Several numerical examples solved by Lingo software and multi-objective simulated annealing algorithm. Results show that the proposed multi-objective simulated annealing algorithm solved considerably time less than the software Lingo and also none of the answers obtained by the two methods are not dominated
Parham Azimi; Farzaneh Goldar; Esmaeil Mehdizadeh
Volume 13, Issue 36 , April 2015, , Pages 115-142
Abstract
Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on ...
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Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on supply chain management. This paper presents hybrid model based on clustering approach and suppliers' selection. At first, K-harmonic means clustering method which is one of the most popular methods in clustering analysis is used for clustering suppliers. Then, according to theoutput of clustering, a multi-objective model is considered to select the best supplier. Since the model belongs to the class of NP-hard optimization problems, two meta-heuristic algorithms named Non-dominated Sorting Genetic Algorithm (NSGAII) and Non-dominated Ranked Genetic Algorithm (NRGA) is used for solving model in reasonable time. Computational results show that the clustering analysis can be considered as an effective way to the suppliers' selection. Also, several data sets are applied to evaluate the effect of clustering analysis on suppliers' selection
