A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM
INTERNATIONAL JOURNAL OF SIMULATION MODELLING, cilt.14, sa.3, ss.450-462, 2015 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 14 Sayı: 3
- Basım Tarihi: 2015
- Doi Numarası: 10.2507/ijsimm14(3)7.299
- Dergi Adı: INTERNATIONAL JOURNAL OF SIMULATION MODELLING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.450-462
- Anahtar Kelimeler: Simulation, Scheduling, Priority Rules, Genetic Algorithm, Faborg-Sim, DYNAMIC JOB-SHOP, DISPATCHING RULES, TABU SEARCH, SIMULATION, MACHINE, TARDINESS, HYBRID, OPTIMIZATION, EARLINESS
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
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.