Planning and scheduling a fleet of rigs using simulation-optimization
Computers and Industrial Engineering
Proceedings of the Winter Simulation Conference
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In this paper, a dynamic model coupled with a simulation model is introduced to control a multi-workstation production system such that a given performance measure is achieved. In particular, we consider closed loop capacity controls for regulating WIP (Work-in-Process) at individual workstation. The capacity adjustments are consisted of both compensation for local disturbances and predictive control of downstream effects of capacity adjustments make up-stream in the system. Using real data collected from an industrial production system, we are able to demonstrate that our hybrid dynamic and simulation framework can effectively predict lead times associated with each workstation and thus to correctly plan production using a static capacity control system.