An optimization method based on simulated annealing to improve stock reduction in rework with known operator skills

In rework areas operators pick faulty products to be repaired (jobs) randomly from a storage. This leads to inefficient stock reduction. To improve the stock reduction the developed system presented in this paper assigns jobs to the operator, so that overall the stock reduction improves. In the first step the system checks the operator's capabilities and matches them to the job's requirements using simulated annealing as a meta-heuristics. Then it is checked which matching is even possible considering the layout of the storage area. Overall a stock reduction is achieved.