This research presents optimized maintenance design using simulation to analyze the capability of auto part manufacturing production system. The integration of simulation and opti...
Ahad Ali, Xiaohui Chen, Ziming Yang, Jay Lee, Jun ...
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper pr...
Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, ...
A new approach to simulation response optimization is presented that takes advantage of the ability to run simultaneous replications of different experimental factor settings in a...
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...