Stochastic programming approach to process flexibility design

DOI10.1007/s10696-010-9062-3zbMath1202.90117OpenAlexW2024707608MaRDI QIDQ613618

Ho-Yin Mak, Zuo-Jun Max Shen

Publication date: 21 December 2010

Published in: Flexible Services and Manufacturing Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10696-010-9062-3

zbMATH Keywords

stochastic programmingmanufacturing systemsdemand uncertaintyprocess flexibility

Mathematics Subject Classification ID

Integer programming (90C10) Stochastic programming (90C15) Production models (90B30)

Related Items (3)

Integrated facility location and production scheduling in multi-generation energy systems ⋮ Towards dominant flexibility configurations in strategic capacity planning under demand uncertainty ⋮ An improved L-shaped method for solving process flexibility design problems

Cites Work

• A tighter variant of Jensen's lower bound for stochastic programs and separable approximations to recourse functions
• Multi-resource investment strategies: Operational hedging under demand uncertainty
• A variable target value method for nondifferentiable optimization
• Characterizing the performance of process flexibility structures
• Investment Strategies for Flexible Resources
• Process Flexibility in Supply Chains
• Structural Flexibility: A New Perspective on the Design of Manufacturing and Service Operations
• Operational Flexibility and Financial Hedging: Complements or Substitutes?
• Optimal and Approximate Policies in Multiperiod, Multilocation Inventory Models with Transshipments
• A duality-based relaxation and decomposition approach for inventory distribution systems
• Principles on the Benefits of Manufacturing Process Flexibility
• Models and Algorithms for Distribution Problems with Uncertain Demands

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