Dedy Achmad Kurniady, Asep Denih, Mahaсh Vagabov, Tri Rijanto, Elena Igorevna Artemova, Huynh Tan Hoi, Liu Zhaojun, Lilis Holisoh Nuryani, Aan Komariah
In this paper, the scheduling of the flexible flow shop scheduling problem without unemployment is considered by considering the sequence-dependent preparation times with parallel and identical machines in each workstation in order to minimize the maximum completion time that has been done so far. The assumption of the existence of sequence-dependent preparation times has not been observed in the literature on the issue of flexible workflow without unemployment. In this study, a mixed integer programming model for the problem is first developed. Since the problem under study is one of the NP-hard problems and the mathematical model solving software is not able to obtain the optimal solution of relatively large problems at a reasonable time, to provide a meta-heuristic method of genetic algorithm to obtain optimal solutions or close to optimal for the problem. The computational results show the relatively good performance of the genetic algorithm for solving problems in less time than the mathematical programming model. © 2022 KIIE.
Universitas Pendidikan, Indonesia; Faculty of Mathematics and Natural Sciences, University of Pakuan, Indonesia; Department of Humanities, Moscow Polytechnic University, Moscow, Russian Federation; Faculty of Engineering, Universitas Negeri Surabaya, Indonesia; Kuban State Agrarian University Named after I.T. Trubilin, Krasnodar, Russian Federation; Faculty of Business Administration, Ho Chi Minh City Open University, Ho Chi Minh City, Viet Nam; Gansu University of Political Science and Law, China; Educational Administration, Universitas Pendidikan, Indonesia
