The Scientific World JOURNAL · 2014 · 64 citations · 58 references
Healthcare ScmSupply Chain OptimizationEngineeringHealthcare Supply Chain ManagementHealthcare LogisticsSupply NetworkBusinessHealth Supply ChainSupply ChainSystems EngineeringLogisticsSupply Chain ManagementLogistics ModelDecision MakingHealthcare Scm ModelingHealth System EngineeringSupply ManagementOperations Research
Healthcare organizations increasingly aim to cut supply‑chain costs by improving decision‑making efficiency, but product availability can be life‑or‑death, making trial‑and‑error unacceptable, and simulation and modeling offers a way to test solutions and support decision making. This paper analyzes past simulation and modeling efforts to support decision making in healthcare supply‑chain management and identifies key challenges. The authors present and discuss emerging technologies that address these challenges.
Recently, most healthcare organizations focus their attention on reducing the cost of their supply chain management (SCM) by improving the decision making pertaining processes' efficiencies. The availability of products through healthcare SCM is often a matter of life or death to the patient; therefore, trial and error approaches are not an option in this environment. Simulation and modeling (SM) has been presented as an alternative approach for supply chain managers in healthcare organizations to test solutions and to support decision making processes associated with various SCM problems. This paper presents and analyzes past SM efforts to support decision making in healthcare SCM and identifies the key challenges associated with healthcare SCM modeling. We also present and discuss emerging technologies to meet these challenges.
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Tutorial on agent-based modelling and simulation
Charles M. Macal, Michael North · Journal of Simulation · 2010 · 1.7K citations