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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ghosh, Tamal Doloi, B. Dan, Pranab K. |
| Copyright Year | 2015 |
| Abstract | The formation of machine cells to process subsequent part families is not the only goal of the designing of an efficient cellular manufacturing system (CMS). A competent layout of the newly acquired cells is also essential to restrict the total inter-cell material handling cost which is primarily significant with large production volume. Furthermore, in realistic industrial scenario, the uncertainty of product demand can influence the layout configuration to be altered from period to period. Albeit there are numerous articles exist in the domain of CMS research considering cell formation problems, layout issues have not been addressed significantly. Therefore, the aim of our paper is to portray a reformed mathematical model of the inter-cell layout design problem in dynamic production situation considering material handling cost and a modified proximity relationship of manufacturing cells. The proposed Quadratic Assignment Programming (QAP) model is combinatorial in nature and is difficult to solve using traditional exact solution methods. The state-of-the-art soft-computing techniques are extremely advantageous for such QAP paradigms. Thus, we developed an improved genetic algorithm (IGA) and a simulated annealing heuristic (SAH) to sort out the abovementioned problem. Due to the inadequacy of datasets, we formed small to large size test problems (6 × 6 × 2 to 24 × 24 × 10) in logical way to cater the purpose. The proposed algorithms are successfully employed to attain near-optimal solutions to the test problems. Computational results demonstrate the proficiency of the IGA over SAH for all the test problems in terms of solution quality and computational time. In addition, we conducted a statistical data analysis to validate the test results. |
| Starting Page | 237 |
| Ending Page | 257 |
| Page Count | 21 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 86 |
| Issue Number | 1-4 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2015-12-07 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Multi-objective cellular layout Production uncertainty Material handling Proximity factor Inter-cell material flow Genetic algorithm Simulated annealing Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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