Optimization of System Utilization and Throughput in FMS using Taguchi and ANOVA Approach
Manu G1, Vijay Kumar M2
1Manu G, Department of Mechanical Engineering, SJC Institute of Technology, Kothanoor (Karnataka), India.
2Dr. Vijay Kumar M, Department of Industrial Engineering Management, JSSATE, Bangalore (Karnataka), India.
Manuscript received on 23 May 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 27 June 2019 | PP: 310-313 | Volume-8 Issue-1C May 2019 | Retrieval Number: A10530581C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Flexible Manufacturing Systems (FMS) are generation frameworks comprising of indistinguishable multipurpose numerically controlled machines (workstations), computerized material dealing with framework, instruments, stacking and emptying stations, investigation stations, stockpiling zones and a various leveled control framework. Occupation sequencing and directing are central parts of FMS. In this work, four section types and five machines has been utilized, for exact outcomes ‘L27’ array has been chosen, and the procedure factors as structured by utilizing Taguchi logic has been treated as info work for reproduction model of FMS to produce the throughput and system utilization for each machine every year. With the results obtained after inputting the data into Taguchi and ANOVA framework it is made clear that the system utilization is majorly affected by demand time followed by the distance preference. The velocity of cart plays a very small role in the changes. Whereas throughput is majorly influenced by demand arrival time followed by velocity of cart and the number of carts plays a small role.
Keywords: Flexible Manufacturing Systems, Shortest Processing Time, System Throughput, System Utilization.
Scope of the Article: Manufacturing Processes