Genetic Algorithm and Fuzzy Logic Based Decision Making Technique for Shop Floor Control in Operations Management
R. Muruganandham1, J. Dinesh2, A. Mohammed Raheel Basha3, B. Devamaindhan4
1R. Muruganandham, Faculty In SRM School of Management, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2J. Dinesh, Faculty In SRM School of Management, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3A. Mohammed Raheel Basha, Consultant, Tata Consultancy Services, Bhopal (M.P), India.
4B. Devamaindhan, Department of Management Studies, University of Madras India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 07 May 2019 | PP: 91-98 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1019376S19/2019©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: Shop Floor Management is the major challenging problem for any manufacturing industry. The objectives of any shop floor are minimizing the wastages, reducing the idle time, maximizing the productivity and reducing the defectives. Our paper has tried to evolve a Decision Support System (DSS) that utilizes Fuzzy Logic Decision Making approach to identify the repetitive consumption of spare parts, poor performing machines etc. All these data are entered in the master database which could be manipulated and customized reports could be generated with the help of DSS. The reports will be of immense help in taking corporate decision making with respect to the shop floor management. Besides, the results of Fuzzy Logic have also been validated using Genetic Algorithm(GA). The maximum possible productivity and least idle time have been found by using GA by selecting a random population by tournament selection and various operations like Crossover, Mutation etc. have been performed on the mating pool retaining the best chromosomes and eliminating the chromosomes which cannot survive among the mating pool. These iterations are carried out until the productivity value converges.
Keywords: Decision Support System, Fuzzy Logic Decision Making, Shop Floor Management, Genetic Algorithm, Productivity.
Scope of the Article: Fuzzy Logic