Mathematical Optimization of the Tactical Allocation of Machining Resources in Aerospace Industry
Licentiate thesis, 2021
In Paper I (Bi-objective optimization of the tactical allocation of jobtypes to machines), we propose a new bi-objective mathematical optimization model for the Tactical Resource Allocation Problem (TRAP). We highlight some of the mathematical properties of the TRAP which are utilized to enhance the solution process. Another contribution is a modified version of the bi-directional $\epsilon$ -constraint method especially tailored for our problem. We perform numerical tests on industrial test cases generated for our class of problem which indicates computational superiority of our method over conventional solution approaches.
In Paper II (Robust optimization of a bi-objective tactical resource allocation problem with uncertain qualification costs), we address the uncertainty in the coefficients of one of the objective functions considered in the bi-objective TRAP. We propose a new bi-objective robust efficiency concept and highlight its benefits over existing robust efficiency concepts. We also suggest a solution approach for identifying all the relevant robust efficient (RE) solutions. Our proposed approach is significantly faster than an existing approach for robust bi-objective optimization problems.
Capacity planning
Bi-objective mixed integer programming
Robust efficient solutions
Robust optimization
Decision-making.
Author
Sunney Fotedar
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Fotedar,S., Strömberg, A.-B., Almgren,T. Bi-objective optimization of the tactical allocation of job types to machines: Mathematical modelling, theoretical analysis, and numerical tests.
Fotedar, S., Strömberg, A.-B., Åblad, E., Almgren, T. Robust optimization of a bi-objective tactical resource allocation problem with uncertain qualification costs.
Tactical resource allocation for efficient capacity Utilization
VINNOVA (2017-04845), 2017-11-10 -- 2022-12-31.
Driving Forces
Sustainable development
Areas of Advance
Transport
Production
Subject Categories
Mathematics
Computer Science
Roots
Basic sciences
Publisher
Chalmers