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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | SCHEDULING OF FLEXIBLE MANUFACTURING SYSTEM BY USING GENETIC ALGORITHM AND TAGUCHI PHILOSOPHY |
| Authors Name: | Vinay Kumar Namdeo , Ashutosh Dwivedi |
| Unique Id: | IJSDR2101025 |
| Published In: | Volume 6 Issue 1, January-2021 |
| Abstract: | Scheduling in an FMS environment is more complex and difficult than in a conventional manufacturing environment. Therefore, determining an optimal schedule and controlling an FMS is considered a difficult task. To achieve high performance for an FMS is, a good scheduling system should make a right decision at a right time according to system conditions. Flexible manufacturing system (FMS) scheduling problems become extremely complex when it comes to accommodate frequent variations in the part designs of incoming jobs. This research focuses on scheduling of variety of incoming jobs into the system efficiently and maximizing system utilization and throughput of system where machines are equipped with different tools and tool magazines but multiple machines can be assigned to single operation. Jobs have been scheduled according to shortest processing time (SPT) rule. Shortest processing time (SPT) scheduling rule is simple, fast, and generally a superior rule in terms of minimizing completion time through the system, minimizing the average number of jobs in the system, usually lower in-process inventories (less shop congestion) and downstream idle time (higher resource utilization). Simulation is better than experiment with the real-world system because the system as yet does not exist and experimentation with the system is expensive, too time consuming, too dangerous. In this research, Taguchi philosophy and genetic algorithm have been used for optimization. Genetic algorithm (GA) approach is one of the most efficient algorithms that aim at converging and giving optimal solution in a shorter time. Therefore, in this work, a suitable fitness function is designed to generate optimum values of factors affecting FMS objectives (maximization of system utilization and maximization of throughput of the system by Genetic Algorithm approach). |
| Keywords: | Flexible manufacturing system, shortest processing time, GA, SPT |
| Cite Article: | "SCHEDULING OF FLEXIBLE MANUFACTURING SYSTEM BY USING GENETIC ALGORITHM AND TAGUCHI PHILOSOPHY", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 1, page no.171 - 178, January-2021, Available :http://www.ijsdr.org/papers/IJSDR2101025.pdf |
| Downloads: | 000337077 |
| Publication Details: | Published Paper ID: IJSDR2101025 Registration ID:192879 Published In: Volume 6 Issue 1, January-2021 DOI (Digital Object Identifier): Page No: 171 - 178 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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