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  • [ X ]
    Öğe
    Analysis of bowl effects on assembly line using queueing networks and constraint programming procedure
    (Computers and Industrial Engineering, 2014) Pınarbaşı, Mehmet; Alağaş, Hacı Mehmet; Yüzükırmızı, Mustafa; Toklu, Bilal
    In this study, a new solution procedure based on queueing networks and constraint programming is proposed to model and solve the Assembly Line Balancing Problem (ALBP). Variation of the task and the station times, and precedence relation effects are considered to evaluate the line performance. Station utilization, total average number of jobs and smoothness index are used as performance measures. Bowl effect, inverted bowl effect and variability imbalance which are seen in balanced lines are examined by using proposed procedure. Also effects of the variability on the line performance are reviewed. Literature data sets are utilized to assess the effectiveness of the procedure.
  • Küçük Resim
    Öğe
    Karma modelli tip-2 montaj hattı dengeleme problemi için bir kısıt programlama modeli
    (Pamukkale Üniversitesi, 2016) Alağaş, Hacı Mehmet; Pınarbaşı, Mehmet; Yüzükırmızı, Mustafa; Toklu, Bilal
    Bu çalışmada karma modelli montaj hattı dengeleme problemleri için yeni bir kısıt programlama modeli sunulmuştur. Önerilen model verilen bir istasyon sayısı ile çevrim zamanını en küçüklemektedir. Önerilen model literatürdeki örnek problemler ile test edilmiştir ve modelin performansı karma modelli montaj hattı dengeleme problemlerinin matematiksel modeli ile karşılaştırmalı olarak değerlendirilmiştir. Performans kriterleri olarak ulaşılan en iyi çözüm değeri ve CPU süresi kullanılmıştır. Deneysel sonuçlar önerilen kısıt programlama modelinin problemin çözümünde iyi performans gösteren bir alternatif modelleme tekniği olduğunu göstermiştir.
  • [ X ]
    Öğe
    Variability modelling and balancing of stochastic assembly lines
    (Taylor and Francis Ltd., 2016) Pınarbaşı, Mehmet; Yüzükırmızı, Mustafa; Toklu, Bilal
    In a production flow line with stochastic environment, variability affects the system performance. These stochastic nature of real-world processes have been classified in three types: arrival, service and departure process variability. So far, only service process – or task time – variation has been considered in assembly line (AL) balancing studies. In this study, both service and flow process variations are modelled along with AL balancing problem. The best task assignment to stations is sought to achieve the maximal production. A novel approach which consists of queueing networks and constraint programming (CP) has been developed. Initially, the theoretical base for the usage of queueing models in the evaluation of AL performance has been established. In this context, a diffusion approximation is utilised to evaluate the performance of the line and to model the variability relations between the work stations. Subsequently, CP approach is employed to obtain the optimal task assignments to the stations. To assess the effectiveness of the proposed procedure, the results are compared to simulation. Results show that, the procedure is an effective solution method to measure the performance of stochastic ALs and achieve the optimal balance. © 2016 Informa UK Limited, trading as Taylor & Francis Group.