Publication | Closed Access
Dynamic batching heuristic for simultaneous processing
202
Citations
5
References
1991
Year
Cluster ComputingEngineeringIndustrial EngineeringSmart ManufacturingComputer ArchitectureDynamic Batch SizingDynamic Batching HeuristicParallel MetaheuristicsOperations ResearchSystems EngineeringBatch ProcessingParallel ComputingCombinatorial OptimizationGlobal Current StatePredictive AnalyticsComputer EngineeringManufacturing PlanningManufacturing SystemsComputer ScienceForecastingManufacturing StrategyParallel ProcessingProduction SchedulingOperations EngineeringBusinessScheduling (Production Processes)Parallel ProgrammingReal-time SystemsProduction Forecasting
This study focuses on computer integrated manufacturing as a means of supporting real-time resource allocation decisions in the semiconductor industry. Two general questions are addressed: (1) how can be global current state of the factory, which would be available in a computer integrated manufacturing system, be summarized into information for decisions? and (2) how much improvement might be expected from such a strategy? Partial answers to these questions for a particular decision, dynamic batch sizing, are provided. It is described how the myopic strategy, minimum batch size rule, performs batch process. A heuristic is proposed to handle batch processing in the look-ahead case, and the sensitivity of this heuristic to forecasting errors is tested.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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