A robust optimization approach for a cellular manufacturing system considering skill-leveled operators and multi-functional machines
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Publication:2109542
DOI10.1016/j.apm.2022.02.028zbMath1503.90043OpenAlexW4214910272WikidataQ114208693 ScholiaQ114208693MaRDI QIDQ2109542
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
robust optimization (RO)forgetting effectcellular manufacturing system (CMS)operator learningskill-leveled operators
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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