New Trends and Issues Proceedings on Humanities and Social Sciences Volume 4, Issue 10, (2017) 306-316 www.prosoc.eu ISSN 2547-8818 Selected Paper of 6th World Conference on Business, Economics and Management (BEM-2017) 04-06 May 2017, Acapulco Hotel and Resort Convention Center, North Cyprus Genetic algorithm applied to the flow shop scheduling problem under effects of fuzzy learning and deterioration with a common fuzzy due date M. Duran Toksari a , Engineering Faculty, Industrial Engineering Department, Erciyes University, Kayseri, Turkey Oguzhan Ahmet Arik b *, Engineering and Architecture Faculty, Industrial Engineering Department, Istanbul Arel University, Istanbul, Turkey Suggested Citation: Toksari, M. D. & Arik, O. A. (2017). Genetic algorithm applied to the flow shop scheduling problem under effects of fuzzy learning and deterioration with a common fuzzy due date. New Trends and Issues Proceedings on Humanities and Social Sciences. 4(10), 306–316. Available from: www.prosoc.eu Selection and peer review under responsibility of Prof. Dr. Çetin Bektaş, Gaziosmanpasa University, Turkey © 2017 SciencePark Research, Organization & Counseling. All rights reserved. Abstract This research is to develop an approximate solution for a flow shop scheduling problem under the effects of fuzzy learning and deterioration with a common fuzzy due date by applying genetic algorithm technique. Real life is complex and filled with ambiguity and uncertainty. Due dates may not be always determined by a decision maker because of their biased approach and past experiences. Therefore, due dates may be defined in forms of any fuzzy set to encode decision maker’s biased approaches and satisfaction levels for completion times of jobs. The objective function of the problem in this research is to maximise decision maker’s sum of satisfaction levels with respect to completion times of jobs on a flow shop scheduling environment by applying genetic algorithm technique. Keywords: Flow shop, fuzzy due date, genetic algorithm, learning effect, deterioration effect. * ADDRESS FOR CORRESPONDENCE: Oguzhan Ahmet Arik, Engineering and Architecture Faculty, Industrial Engineering Department, Istanbul Arel University, Istanbul, Turkey E-mail address: ohuzhanahmetarik@hotmail.com / Tel.: +0-850 850 2735