Değer DemirEcem AdemoğluGülce GülenKerem Can DeliktaşMert YandımataSaadet GülSerdar Can ErtemÖnder BulutSinem ÖzkanDemir, DeğerGülen, GülceDeliktaş, Kerem CanGül, SaadetAdemoğlu, EcemYandımata, MertÖzkan, SinemN.M. Durakbasa , M.G. Gençyılmaz2025-10-0620219789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051978303062783621954364, 219543562195-435610.1007/978-3-030-62784-3_822-s2.0-85096479655https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096479655&doi=10.1007%2F978-3-030-62784-3_82&partnerID=40&md5=f9ba5095bb3a1f2ba21b3423e1376891https://gcris.yasar.edu.tr/handle/123456789/9109https://doi.org/10.1007/978-3-030-62784-3_82In this study we consider parallel machine production scheduling problem of a Powder Coating company. A mathematical model with firm-specific constraints such as order splitting and machine availability is developed. The objective is to minimize the total weighted completion time of jobs. We propose two heuristic solution algorithms: A Genetic Algorithm and a Rule-Based Algorithm. For smaller instances each algorithm is compared with the optimum. On the other hand for larger instances we compare the performances of the proposed algorithms with each other. Furthermore we develop a simulation model to test the performances of the solutions determined by deterministic algorithms under randomness in setup times quality control times and downtimes. © 2020 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessGenetic Algorithm, Heuristics, Machine Availability, Order Splitting, Rule Based Algorithm, SchedulingGenetic AlgorithmSchedulingHeuristicsRule Based AlgorithmMachine AvailabilityOrder SplittingConference Object