This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved...This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved in FMS are complicated since each operation may be done by several machining centers. The system design approach is built around the theory of dynamic supervisory control based on a rule-based expert system. The paper considers flexibility in operation assignment and scheduling of multi-purpose machining centers which have different tools with their own efficiency. The architecture of the proposed controller consists of a simulator module coordinated with an IDSS via a real time event handler for implementing inter-process synchronization. The controller’s performance is validated by benchmark test problem.展开更多
Healthcare systems engineering in emergency departments(EDs)are developing rapidly in the world nowadays.Fast track(FT)as a rapid treatment system is considered to facilitate ED patient flow.To know how FT can improve...Healthcare systems engineering in emergency departments(EDs)are developing rapidly in the world nowadays.Fast track(FT)as a rapid treatment system is considered to facilitate ED patient flow.To know how FT can improve the performance of ED,one should study the best configuration of resources for implementation of FT.This research presents a pattern for implementation of FT systems in hospital EDs using healthcare simulation paradigms.Simulation-based optimization model uses modeling and simulation capabilities to generate configurations of FT resources and its patient prioritization pattern with Arena rsimulation software.A decision making method is used to select the optimal configuration based on pre-specified performance indicators.The results imply that the proposed FT implementation pattern is efficient and capable of improving patient flow.展开更多
文摘This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved in FMS are complicated since each operation may be done by several machining centers. The system design approach is built around the theory of dynamic supervisory control based on a rule-based expert system. The paper considers flexibility in operation assignment and scheduling of multi-purpose machining centers which have different tools with their own efficiency. The architecture of the proposed controller consists of a simulator module coordinated with an IDSS via a real time event handler for implementing inter-process synchronization. The controller’s performance is validated by benchmark test problem.
文摘Healthcare systems engineering in emergency departments(EDs)are developing rapidly in the world nowadays.Fast track(FT)as a rapid treatment system is considered to facilitate ED patient flow.To know how FT can improve the performance of ED,one should study the best configuration of resources for implementation of FT.This research presents a pattern for implementation of FT systems in hospital EDs using healthcare simulation paradigms.Simulation-based optimization model uses modeling and simulation capabilities to generate configurations of FT resources and its patient prioritization pattern with Arena rsimulation software.A decision making method is used to select the optimal configuration based on pre-specified performance indicators.The results imply that the proposed FT implementation pattern is efficient and capable of improving patient flow.
