DESIGNING A CELLULAR MANUFACTURING SYSTEM CONSIDERING THE OPERATOR ASSIGNMENT TO THE UNRELIABLE MULTI-FUNCTIONAL MACHINES IN A DYNAMIC ENVIRONMENT
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Manufacturing exibility is a basic requirement in order to increase both the revenue and customer satisfaction level. Group technology concept can be implemented in such cases. One of the most important applications of group technology concept in a production environment is Cellular Manufacturing System which includes four main sub problems; Cell formation, Group layout, SchedulingandResourceassignment. Thecellformation (CF) is for assigning the machines into cells. The Group layout (GL) tries to nd the optimal layout of machines within the cells and cells within the production oors. The group scheduling (GS) problem tries to minimize the total production time and ultimately resource assignment (RA) is to assign the manufacturing resources, such as operators into cells, optimally. Accordingly, in thispapertwomathematicalmodelshavebeenproposed in order to solve the cell formation and human resource assignment problems. The rst mode is to minimize the inter/intra cell part trips, system recon guration cost, installing/uninstalling costs of tools on/from different machines and machine breakdown cost, respectively. The second model tries to minimize the operator related issues such as hiring, ring, salary and the training costs. One of the main contributions of this paper is toconsidertheoperatorskilllevel. Actually,thetraining and forgetting e ect of an operator determines his/her work skill level. So, in this paper, this issue is regarded in more details. These two nonlinear models have been linearizedand solvedusing the Gams optimization pack age.Some numerical examples are generated randomly in order to the performance of proposed models. Moreover, in order to analyze nd the optimal solution, the third model, which integrates two mentioned models, has been proposed. Based on the sensitivity analysis of the proposed models, the optimal assignment of operators can signi cantly improve the solution quality. Also, using the numerical example's results, the linear model can obtain the optimal solutions in less computational e ort in comparison to the nonlinear models.
Language:
Persian
Published:
Industrial Engineering & Management Sharif, Volume:33 Issue: 2, 2018
Pages:
137 to 148
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