A robust optimization approach for a cellular manufacturing system considering skill-leveled operators and multi-functional machines

DOI10.1016/j.apm.2022.02.028zbMath1503.90043OpenAlexW4214910272WikidataQ114208693 ScholiaQ114208693MaRDI QIDQ2109542

Yanyan Li

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.02.028

zbMATH Keywords

robust optimization (RO)forgetting effectcellular manufacturing system (CMS)operator learningskill-leveled operators

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11) Nonlinear programming (90C30) Production models (90B30)

Cites Work

• Convex programming with set-inclusive contraints and its applications to generalized linear and fractional programming
• A novel approach for considering layout problem in cellular manufacturing systems with alternative processing routings and subcontracting approach
• A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines
• A new multi-objective mathematical model for dynamic cell formation under demand and cost uncertainty considering social criteria
• Development of a comprehensive model and BFO algorithm for a dynamic cellular manufacturing system
• The Price of Robustness
• Robust Optimization of Large-Scale Systems
• Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming

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