Optimizing the Permutation Flowshop Scheduling Problem by Scatter Search

Year 2016, Volume: 16 Özel Sayı, 31 - 40, 01.11.2016

Ural Gökay Çiçekli Sevilay Bozkurt

Abstract

Scheduling is one of the decision-making processes that play a critical role in the production and service industries. Flow job scheduling is one of the types of scheduling where "n" job can be processed at "m" machines consequently. When the complexity of this problem increases, obtaining the optimum solution becomes difficult. But, solution can be found near the optimum in these complex problems by using the scatter search which is one of the meta heuristics. Scatter search method which is a branch of the evolutionary approach is an advantageous optimization technique due to producing two or more solution. In this study, the new model is developed for optimizing the permutation flowshop scheduling problem by scatter search

Keywords

Scheduling, Permutation Flow Job Scheduling Scatter Search

Permütasyon Akış Tipi Çizelgeleme Probleminin Dağınık Arama İle Optimizasyonu

Abstract

Çizelgeleme, üretim ve hizmet endüstrilerinde kritik rol oynayan karar verme süreçlerinden bir tanesidir. Çizelgelemenin türlerinden biri olan akış tipi çizelgeleme, n işin m adet makinede aynı sırada işlem görmesidir. Bu problemin karmaşıklığı arttıkça en iyi çözüme ulaşılması zorlaşmaktadır. Fakat bu karmaşık problemlerde, meta sezgisel yöntemlerden biri olan dağınık arama metodu kullanılarak en iyi sonuca yakın çözümler bulunabilmektedir. Dağınık arama metodu evrimsel yaklaşımın bir kolu olmasıyla birlikte iki veya daha fazla çözüm üretmesi optimizasyon teknikleri açısından oldukça avantajlıdır. Bu çalışmada, permütasyon akış tipi çizelgeleme problemlerinin çözümü için dağınık arama ile bir model geliştirilmiştir

Keywords

Çizelgeleme, Permütasyon Akış Tipi Çizelgeleme, Dağınık Arama

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