Optimization of the stochastic dynamic production cycling problem by a genetic algorithm.

DOI10.1016/S0305-0548(02)00109-0zbMath1047.90017MaRDI QIDQ1413842

Masao Yokoyama, Harold W. III. Lewis

Publication date: 17 November 2003

Published in: Computers \& Operations Research (Search for Journal in Brave)

zbMATH Keywords

Genetic algorithmDynamic programmingMarkov decision processStochastic demandProduction planningLot sizeProduction cycling

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Stochastic models in economics (91B70) Production models (90B30) Dynamic programming (90C39)

Related Items (4)

Agile factorial production for a single manufacturing line with multiple products ⋮ A variable neighborhood search based algorithm for finite-horizon Markov decision processes ⋮ Meta-heuristic algorithms for solving a fuzzy single-period problem ⋮ An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon)

Cites Work

• The discrete lot-sizing and scheduling problem
• The stochastic dynamic product cycling problem
• Genetic search and the dynamic facility layout problem
• A hierarchical approach for capacity coordination in multiple products single-machine production systems with stationary stochastic demands
• A user interactive heuristic procedure for solving the multiple product cycling problem
• Evolutionary algorithms for production planning problems with setup decisions
• The Deterministic Dynamic Product Cycling Problem
• A Heuristic Scheduling Policy for Multi-Item, Single-Machine Production Systems with Time-Varying, Stochastic Demands
• The Economic Lot Scheduling Problem (ELSP): Review and Extensions
• Multi-item, single-machine scheduling problem with stochastic demands: a comparison of heuristics

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