Publication | Closed Access
Deterministic Approximations to Co-Production Problems with Service Constraints and Random Yields
69
Citations
18
References
1992
Year
Mathematical ProgrammingSupply Chain OptimizationEngineeringLogistics OptimizationSmart ManufacturingInventory TheoryProduction Planning ProblemsService ConstraintsMarket DesignOperations ResearchSystems EngineeringLogisticsDeterministic ApproximationsCombinatorial OptimizationQuantitative ManagementEconomicsManufacturing PlanningManufacturing SystemsSupply Chain DesignSupply Chain ManagementInteger ProgrammingMultiple Item CategoriesProduction PlanningSimple HeuristicsStochastic OptimizationOptimization ProblemProduction SchedulingBusinessScheduling (Production Processes)Random Yields
We study production planning problems where multiple item categories are produced simultaneously. The items have random yields and are used to satisfy the demands of many products. These products have specification requirements that overlap. An item originally targeted to satisfy the demand of one product may be used to satisfy the demand of other products when it conforms to their specifications. Customers' demand must be satisfied from inventory 100α% of the time. We formulate the problem with service constraints and provide near-optimal solution to the problem with fixed planning horizon. We also propose simple heuristics for the problem solved with a rolling horizon. Some of the heuristics performed very well over a wide range of parameters.
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