Scheduling of the Textile Dyeing Process Using Biomimetics
Sheelratan S. Bansode1, Rahul B. Hiremath2

1Sheelratan S. Bansode, Department of B. E. Mechanical, M. E. Mechanical Design, Ph. D. Scholar, Institute of Technology, Solapur. Walchand Institute of Technology, Solapur (Maharashtra), India.
2Dr. Rahul B. Hiremath, Department of B. E. Mechanical, M. Tech. Mechanical, Assistant Professor, Ph. D. Banglore SCMHD, Pune (Maharashtra), India
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 202-204 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3640048619/19©BEIESP
Open Access | Ethics and 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: In the Production of Clothing the Textile Dyeing process is most of the time acts as a bottle neck because it is time consuming and more constrained. The dyeing process also produces water pollutions. This pollution needs to be minimized so that indirectly the production performance can be increased. Thus proper scheduling of the process needs to be carried out. To this end, the dyeing process has been formulated as a bi objective optimization model to reduce tardiness cost and in turn reduce the level of pollutant emission. For this Tabu search clubbed with the Particle Swarm optimization has been used.
Keyword: Dyeing Process, Scheduling, Optimization, Tabu, Particle Swarm Optimization.
Scope of the Article: Manufacturing Processes