Open AccessOptimal Sequence in General Flow Shop with Job Block Criteria using Fuzzy Index Technique
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1093.0789s19
Subject(s) - sequence (biology) , fuzzy logic , mathematical optimization , computer science , flow shop scheduling , novelty , fuzzy number , job shop , block (permutation group theory) , flow (mathematics) , job shop scheduling , mathematics , algorithm , fuzzy set , artificial intelligence , philosophy , schedule , genetics , geometry , theology , biology , operating system
Here, we are finding a novel methodology to solve a problem of scheduling of general flow shop where proceeding time of job is indeterminate. The parameters required to solve such problem was considered to be in triangular fuzzy number. The concept of job block concept has been introduced to understand relative interference of one job with other. The novelty of this method lies in the section that it will not convert the fuzzy processing time into classical numbers to figure out the near optimal sequence of jobs. The method has been made clearer by giving a numerical example to demonstrate the purposed technique.