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Optimization of Scheduling in FMS using Heuristic Approaches: A Case Study

Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 4)

Publication Date:

Authors : ;

Page : 1826-1831

Keywords : Flexible Manufacturing System; Scheduling; Heuristics; Palmer Heuristics; CDS Heuristics; NEH Heuristics;

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The flow shop scheduling problems are experiencing a huge eminence in this modern era of industrialization. In the present scenario we find almost every industry to be focusing prominently on the scheduling of the machines working in them, as it is a significant factor in deciding the net productivity. Nowadays almost each and every manufacturing system is involved in following a preplanned schedule of machine operation considering the demand criterion put forth. Flexible manufacturing system being one of them is also following the same path. The largely increasing number of machines and jobs involved in the manufacturing operations has marked a huge complexity in their scheduling. Thus a proper scheduling technique is the only solution which can prove as an aid to the situation. Moving forth in the same direction, this thesis presents a few prominent methods to solve a flow shop scheduling problem. Some major heuristics algorithms are the CDS algorithm, Palmer's algorithm, and NEH algorithm are considered in this paper for finding the most optimized result. A comparison between the heuristics algorithms has also been included in this thesis to make some conclusions upon their individual and cumulative efficiencies. The input parameters given in the problem are considered to be the basis while calculating the make span. To reduce the time involved in the whole process and the chances of human error in the calculations, a java programming code has also been generated. Gaganpreet Kaur | Gayatri Devi | Abhishek Kumar Mishra | Amarnath Kumar | Akarsh Mishra | Aditya Agrahari"Optimization of Scheduling in FMS using Heuristic Approaches: A Case Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL:

Last modified: 2018-08-02 15:08:13