Processing of Scheduling Problems in the Job Shop Using Fuzzy Logic

The research deals with a problem that concentrates on the use of fuzzy logic which sends the job orders for the purpose of the due dates to achieve  customer's satisfaction besides efficient flow of jobs among the production cells. To achieve the aims of the research , an algorithm for schedul...

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Bibliographic Details
Main Author: Baydaa Bhnam
Format: Article
Language:Arabic
Published: Mosul University 2010-06-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163863_b8fea8700f12513fba70e24c98059270.pdf
Description
Summary:The research deals with a problem that concentrates on the use of fuzzy logic which sends the job orders for the purpose of the due dates to achieve  customer's satisfaction besides efficient flow of jobs among the production cells. To achieve the aims of the research , an algorithm for scheduling jobs has been achieved in the job shop which treats N jobs ( J1, J2,…..Jn) on M  machines (M1, M2,….Mm) . This algorithm is based on triangular member ship functions to express the fuzzy processing times and that through the treatment time of the operation and the release date and the due date. The most notable findings of the research is the high degree of satisfaction of the job that are at the forefront  of chain, while it begins to decline whenever the sequence increases, i.e is whenever the number of the acts increases in the waiting line, and that is by determining the start time and end time of each job.
ISSN:1815-4816
2311-7990