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Communication Dans Un Congrès Année : 2016

Production Planning under Uncertainties and Forecasts Updates

Zied Jemai
Maxime Claisse
Chengbin Chu

Résumé

—In this paper, we consider a single item single level production planning problem with uncertain and dynamic demand. The uncertainties are modelled through the probability density function of the demand. The system is studied in a rolling-horizon framework, in which data is updated at each iteration and makes the demand non-stationary. In this context, we model a cost minimization problem using a stochastic dynamic programming approach, which allows to integrate the update of the demand density into the optimization process. We calculate the optimal production quantities in a specific case where linear regression is the forecasting method used and the production lead-time is equal to one period. We finally run a simulation to illustrate the optimality of the solution, and to show its efficiency compared to others classical production planning procedures.
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Dates et versions

hal-01672409 , version 1 (25-12-2017)

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  • HAL Id : hal-01672409 , version 1

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Zied Jemai, Maxime Claisse, Chengbin Chu. Production Planning under Uncertainties and Forecasts Updates. 3rd International Conference on Control, Decision and Information Technologies (CoDIT'16) , Apr 2016, Saint Julian's, Malta. ⟨hal-01672409⟩
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