Yazar "Gocken, T." seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    COMPARISON OF DIFFERENT CLUSTERING ALGORITHMS VIA GENETIC ALGORITHM FOR VRPTW
    (Daaam International Vienna, 2019) Gocken, T.; Yaktubay, M.
    In this paper, Vehicle Routing Problem with Time Windows (VRPTW) with known customer demands, a central depot and a set of vehicles with limited capacity, is considered. The objectives are both to minimize the total distance and the total waiting time of the vehicles while capacity and time windows constraints are secured. The applied solution techniques consist of three steps: clustering, routing and optimizing. By using K-means, Centroid-based heuristic, DBSCAN and SNN clustering algorithms in the initial population generation phase of genetic algorithm, the customers are divided into feasible clusters. Then feasible routes are constructed for each cluster. Lastly, the feasible route solutions are taken as the initial population and genetic algorithm is utilized for the optimization. A set of well-known benchmark data is used to compare the obtained results. According to the results of the study it is observed that using K-means clustering algorithm in generating the initial population of the genetic algorithm is more effective for the handled problem.
  • [ X ]
    Öğe
    INTEGRATING PROCESS PLAN AND PART ROUTING USING OPTIMIZATION VIA SIMULATION APPROACH
    (Daaam International Vienna, 2019) Gocken, T.; Dosdogru, A. T.; Boru, A.; Gocken, M.
    Determining the best process plan and route for each part is one of the main problems in dynamic stochastic systems. Therefore, multiple process plans are considered for each operation of each part (machine flexibility and/or part routing) and alternative operations (operation flexibility) simultaneously. In this paper, Optimization via Simulation (OvS) is utilized to plan the processes and route the parts in a dynamic stochastic flexible job-shop environment (DSFJS). Genetic algorithm (GA) which is envisaged to be the optimization component of OvS mechanism is integrated with the simulation model of the production system. A four-factor full factorial design is used to analyse the effect of main factors' and factor interactions' effects on the total of average flowtimes of each part performance of the shop. The design includes the flexibility level of the shop, number of parts, number of operations, and number of alternative process plans. Finally, the main findings of cases are summarized in the study.