Production order quantity under uncertainties and forecasts update: optimal control quantity using stochastic dynamic programming - Archive ouverte HAL
Communication Dans Un Congrès Année : 2015

Production order quantity under uncertainties and forecasts update: optimal control quantity using stochastic dynamic programming

Maxime Claisse
Zied Jemai
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Chengbin Chu

Résumé

In this paper, we consider a single level single item production control quantity problem where the demand is represented by a stochastic and non-stationary variable. The update of the information is taken into account through a rolling horizon framework: the demand of a specific period t depends on all past information on hand at this time, and is updated through the dynamics of the forecast method used. We formulate the problem as a stochastic dynamic programming problem, and give an explicit optimal solution for a case where the production lead-time is reduced to zero. We finally compare the optimal results with classical production planning methods through a simulation.
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Dates et versions

hal-01237110 , version 1 (02-12-2015)

Identifiants

  • HAL Id : hal-01237110 , version 1

Citer

Maxime Claisse, Zied Jemai, Chengbin Chu. Production order quantity under uncertainties and forecasts update: optimal control quantity using stochastic dynamic programming. International Conference on Computers & Industrial Engineering (45th Edition), Oct 2015, Metz, France. ⟨hal-01237110⟩
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