Fuzzified Job Shop Scheduling Algorithm


Rajani Kumari; Dr. Vivek Kumar Sharma; Sandeep Kumar

Published in:

HCTL Open International Journal of Technology Innovations and Research, ISSN: 2321-1814.

Published on:



Volume 7, January 2014, ISBN: 978-1-62951-250-1.

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© 2014 by the Authors; Licensed by HCTL Open, India.

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This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License.


In the present scenario the recent engineering and industrial built-up units are facing assortment of problems in a lot of aspects such as machining time, electricity, man power, raw material and customer's constraints. The Job-shop scheduling is one of the most significant industrial behaviours, particularly in manufacturing planning. Consider a shop ground where numbers of jobs are processed by number of machines. All the jobs consist of a certain number of operations. Each one operation has to be performed by a committed machine with the predefined processing time. The sequence of operations is also predefined for each job in a production recipe. Therefore, each job has its own machine order and can't change the sequence of operations. This paper introduced a new job shop scheduling algorithm with same fuzzy rules. The scope and purpose of this paper is to examine the near optimal solution for job shop scheduling in such a way that two operations are not at all processed on the same machine at the same time..


Job shop scheduling, Fuzzy logic, Makespan, Flow shop scheduling.

Cite this Article

Rajani Kumari; Dr. Vivek Kumar Sharma; Sandeep Kumar, Fuzzified Job Shop Scheduling Algorithm, HCTL Open International Journal of Technology Innovations and Research, Volume 7, January 2014, ISSN: 2321-1814, ISBN: 978-1-62951-250-1.

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