A stochastic program based lower bound for assemble-to-order inventory systems

DOI10.1016/J.ORL.2011.12.001zbMath1270.90040OpenAlexW2061342034MaRDI QIDQ435740

Martin I. Reiman, Qiong Wang

Publication date: 12 July 2012

Published in: Operations Research Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.orl.2011.12.001

zbMATH Keywords

inventoryoptimal policyassemble-to-order (ATO)multi-dimensional newsvendor modelstochastic program

Mathematics Subject Classification ID

Stochastic programming (90C15) Inventory, storage, reservoirs (90B05)

Related Items (10)

Asymptotically Optimal Inventory Control for Assemble-to-Order Systems with Identical Lead Times ⋮ Optimization of Industrial-Scale Assemble-to-Order Systems ⋮ A novel decomposition-based method for solving general-product structure assemble-to-order systems ⋮ On the use of independent base-stock policies in assemble-to-order inventory systems with nonidentical lead times ⋮ A typology and literature review on stochastic multi-echelon inventory models ⋮ Assemble-to-order systems: a review ⋮ Some specially structured assemble-to-order systems ⋮ Optimal and heuristic policies for assemble-to-order systems with different review periods ⋮ The Benefits of State Aggregation with Extreme-Point Weighting for Assemble-to-Order Systems ⋮ Collaborative policy of the supply-hub for assemble-to-order systems with delivery uncertainty

Cites Work

• Multi-resource investment strategies: Operational hedging under demand uncertainty
• A Stochastic Programming Based Inventory Policy for Assemble-to-Order Systems with Application to the W Model
• Optimal Inventory Policies for Assembly Systems Under Random Demands
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