Multi-item, single-machine scheduling problem with stochastic demands: a comparison of heuristics

DOI10.1080/00207549408956954zbMath0903.90098OpenAlexW2001371826MaRDI QIDQ4394218

André Gascon, Pierre Lefrançois, Robert C. Leachman

Publication date: 11 June 1998

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207549408956954

zbMATH Keywords

heuristicssimulationmulti-item, single-machine production systems

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Production models (90B30)

Related Items (8)

Agile factorial production for a single manufacturing line with multiple products ⋮ A scheduling policy for adjusting economic lot quantities to a feasible solution ⋮ The stochastic economic lot sizing problem for non-stop multi-grade production with sequence-restricted setup changeovers ⋮ A hierarchical approach for capacity coordination in multiple products single-machine production systems with stationary stochastic demands ⋮ The stochastic economic lot scheduling problem: a survey ⋮ Optimization of the stochastic dynamic production cycling problem by a genetic algorithm. ⋮ Integrated condition-based maintenance and multi-item lot-sizing with stochastic demand ⋮ A note on improving the performance of the enhanced dynamic cycte lengths heuristic for the multi-item, single machine scheduling problem

Cites Work

• The discrete lot-sizing and scheduling problem
• Scheduling Economic Lot Size Production Runs
• A Heuristic Scheduling Policy for Multi-Item, Single-Machine Production Systems with Time-Varying, Stochastic Demands
• A Dynamic Programming Solution to the Dynamic, Multi-Item, Single-Machine Scheduling Problem
• Note: An Improvement to the Dynamic Cycle Lengths Heuristic for Scheduling the Multi-Item, Single-Machine
• The Economic Lot Scheduling Problem (ELSP): Review and Extensions
• Inventory control of a multiproduct system with a limited production resource
• Lot Size Scheduling on a Single Machine for Stochastic Demand

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