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A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM

Aydemir, E.; Koruca, H., I


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        "affiliation": "Suleyman Demirel Univ, Fac Engn, Dept Ind Engn, TR-32260 Isparta, Turkey", 
        "name": "Aydemir, E."
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        "affiliation": "Suleyman Demirel Univ, Fac Engn, Dept Ind Engn, TR-32260 Isparta, Turkey", 
        "name": "Koruca, H., I"
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    "description": "Production scheduling is an important function that determines the efficiency and productivity of a production system. Many optimization methods, techniques, tools, and heuristics have been used to solve production scheduling problems, accordingly priority rules are implemented for customers' orders in real-world applications. Simulations and heuristic methods are quite useful for making decisions, and they are used mostly to design and improve production systems by reducing their complexity. In this study, a Priority Rule-Based Genetic Algorithm Scheduling (PRGA-Sched) module was developed to provide shorter total completion time in production scheduling. The module was integrated with the Faborg-Sim simulation tool. As a case study, a heating boiler manufacturing system was analyzed and simulated with six products and customers' orders by using production data from the PRGA-Sched module in Faborg-Sim. The results showed that a shorter total completion time is obtained and saved than the initial situation by via PRGA-Sched module.", 
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      "issue": "3", 
      "pages": "450-462", 
      "title": "INTERNATIONAL JOURNAL OF SIMULATION MODELLING", 
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