A joint chance-constrained programming approach for the single-item capacitated lot-sizing problem with stochastic demand

DOI10.1007/s10479-017-2662-5zbMath1390.90408OpenAlexW2609437715MaRDI QIDQ1639278

Jianqiang Cheng, Celine Gicquel

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10150/627668

zbMATH Keywords

chance-constrained programmingmixed-integer linear programmingjoint probabilistic constraintstochastic lot-sizingsample approximation approach

Mathematics Subject Classification ID

Mixed integer programming (90C11) Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (5)

Optimal sales and operations planning for integrated steel industries ⋮ An integrated economic disposal and lot-sizing problem for perishable inventories with batch production and corrupt stock-dependent holding cost ⋮ Probability maximization via Minkowski functionals: convex representations and tractable resolution ⋮ New valid inequalities and formulations for the static joint chance-constrained lot-sizing problem ⋮ Joint energy capacity and production planning optimization in flow-shop systems

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