Optimal Sequence in General Flow Shop with Job Block Criteria using Fuzzy Index Technique
Arti Tyagi1, Ashima Kalra2, Cheshta Kashyap3
1Arti Tyagi, Associate Professor, Department of Corporate Laws, Reva Institute of Technology and Management University, Bangalore ( Karnataka), India.
2Ashima Kalra, B.Tech, Reva Institute of Technology and Management University, Bangalore ( Karnataka), India.
3Cheshta Kashyap, P.H.D, Reva Institute of Technology and Management University, Bangalore ( Karnataka), India.
Manuscript received on 05 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 26 August 2019 | PP: 592-597 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10930789S19/19©BEIESP | DOI: 10.35940/ijitee.I1093.0789S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: 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.
Keywords: Fuzzy Number (TFN), Fuzzy Processing Time, Flow shop, Fuzzy Ranking, Location index etc.
Scope of the Article: Fuzzy Logics