Hybrid Simulation MILP Optimization In A Remanufacturing System
Comparison of three different optimization methods in a remanufacturing system was carried out. The system combines raw material from defect parts and new parts together. Two different policies are implemented: Priority ToRemanufacturing (PTR) and Priority To Manufacturing (PTM). PTR is found to be better than PTM in terms of total cost in all methods. These methods include Mix Integer Linear Programming (MILP) with one iteration of simulation, OptQuest, and hybrid simulation MILP. Our finding also shows that OptQuest provides an acceptable result and consuming time but the hybrid simulation MILP shows better performance when the uncertainty level is relatively low as the convergence point can be found faster.
Index Terms- Hybrid simulation optimization, Optimization, Remanufacturing, Simulation