A stochastic optimization model for planning capacity expansion in a service industry under uncertain demand

DOI<545::AID-NAV3220410407>3.0.CO;2-Z 10.1002/1520-6750(199406)41:4<545::AID-NAV3220410407>3.0.CO;2-ZzbMath0801.90068OpenAlexW1970591386MaRDI QIDQ4290985

Zvi Ganz, Janet M. Wagner, Oded Berman

Publication date: 1 December 1994

Full work available at URL: https://doi.org/10.1002/1520-6750(199406)41:4<545::aid-nav3220410407>3.0.co;2-z

zbMATH Keywords

Lagrangian relaxationcapacity expansionservice industrynested knapsack structureuncertainty in future demand

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Management decision making, including multiple objectives (90B50)

Related Items (6)

A stochastic programming approach for planning horizons of infinite horizon capacity planning problems ⋮ Models for planning capacity expansion of convenience stores under uncertain demand and the value of information ⋮ Supply capacity acquisition and allocation with uncertain customer demands ⋮ A risk function for the stochastic modeling of electric capacity expansion ⋮ Partially Adaptive Stochastic Optimization for Electric Power Generation Expansion Planning ⋮ The inverse optimal value problem

Cites Work

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