Papers/2609.00004
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Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing

Author1, Author2, Author3, Author4, Author5

MDPlot-sizingstochastic modelinggenetic algorithms
2609.00004
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2h ago

Abstract

This paper presents a model for a multi-item capacitated lot-sizing problem with stochastic demand timing, highlighting the impact of demand-arrival periods on production and allocation decisions.

Reality Card

Core Claim

The proposed genetic algorithm effectively approximates the optimal solution for the stochastic timing problem with an average optimality gap of about 3.44%.

Method / Result

The genetic algorithm achieves an average optimization speedup of 6.89 at the 95% confidence level.

Limitations

The computational complexity increases significantly with stochastic timing, which may hinder reproducibility on standard hardware.

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