2002 · 26 citations · 4 references
ManagementConstruction ManagementSupply Chain ManagementSchedulingSupply Chain EngineeringSupply Chain Performance ManagementLead Time AnalysisLead Time ManagementProcess EngineeringProduction WorkflowStochastic SchedulingSupply Chain OptimizationDeterministic Lead Time ModelingDiscrete Event Simulation ModelsDiscrete-event System SimulationLead TimeLead Time ConstraintsLead Time UncertaintyPerformance Improvement PlanningProduction System Design
This paper describes process models that characterize the design phase in the supply chain of pipe supports used in power plants. The models are used to study how production system design factors such as batching, uncertainty, and multitasking throughout this phase hamper supply chain performance. These factors all cause an increase in lead time. The models build on the STROBOSCOPE discrete-event simulation engine and illustrate several deterministic and probabilistic simulation scenarios including different batch sizes, uncertainty levels, and allocation percentages of shared resources. Based on the analysis of the simulation results, this paper recommends performance improvement opportunities that apply not only to the supply chain of pipe supports but generally to the delivery of capital projects.
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