Bi-objective optimization of the tactical allocation of job types to machines: mathematical modeling, theoretical analysis, and numerical tests
Journal article, 2023

We introduce a tactical resource allocation model for a large aerospace engine system manufacturer aimed at long-term production planning. Our model identifies the routings a product takes through the factory, and which machines should be qualified for a balanced resource loading, to reduce product lead times. We prove some important mathematical properties of the model that are used to develop a heuristic providing a good initial feasible solution. We propose a tailored approach for our class of problems combining two well-known criterion space search algorithms, the bi-directional Īµ-constraint method and the augmented weighted Tchebycheff method. A computational investigation comparing solution times for several solution methods is presented for 60 numericalĀ instances.

production planning

aerospace industry

capacity planning

bi-objective mixed integer programming (BOMIP)

Author

Sunney Fotedar

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

Ann-Brith Strömberg

University of Gothenburg

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Torgny Almgren

GKN Aerospace Services

International Transactions in Operational Research

0969-6016 (ISSN) 1475-3995 (eISSN)

Vol. 30 3479-3507

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

Computational Mathematics

Computer Science

Computer Systems

Roots

Basic sciences

DOI

10.1111/itor.13180

More information

Latest update

7/3/2023 6