Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors
From MaRDI portal
Publication:929755
DOI10.1016/j.matcom.2007.06.002zbMath1216.90053OpenAlexW1983536038MaRDI QIDQ929755
Taho Yang, Yao-Ching Tseng, Yiyo Kuo, Chiwoon Cho
Publication date: 18 June 2008
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2007.06.002
Applications of mathematical programming (90C90) Management decision making, including multiple objectives (90B50) Production models (90B30)
Related Items (2)
A heuristic application of integer goal programming and Taguchi method for planning cable cutting process in power plant projects ⋮ The hybrid flow shop scheduling problem
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Interval priorities in AHP by interval regression analysis
- A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem
- Multiple attribute decision-making methods for the dynamic operator allocation problem
- Approximate articulation of preference and priority derivation
- Uncertainty and rank order in the analytic hierarchy process
- Multiple attribute decision making. Methods and applications. A state-of- the-art survey
- Preference simulation and preference programming: Robustness issues in priority derivation
- Rough sets methodology for sorting problems in presence of multiple attributes and criteria
- Genetic multi-criteria approach to flexible line scheduling
- A comparative study of dispatching rules in dynamic flowshops and jobshops
- Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method
- Heuristics for scheduling in a flow shop with multiple processors
- Simple priority rule combinations: An approach to improve both flow time and tardiness
- Dispatching rules in scheduling Dispatching rules in scheduling: a fuzzy approach
- Satisfaction assessment of multi-objective schedules using neural fuzzy methodology
- Tabu-search simulation optimization approach for flow-shop scheduling with multiple processors — a case study
This page was built for publication: Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors
