Production planning facilitated by optimal scheduling of a multi-task production cell

Scheduling a dynamic job shop consisting of several multi-purpose machines is a complex combinatorial problem. We will develop mathematical optimization models and study possible solution methods, both analytical and heuristic methods with the aim of developing a fast algorithm that solves this type of flexible job shop scheduling problems within an acceptable time frame so that it is possible to implement in practice.

Participants

Ann-Brith Strömberg (contact)

Biträdande professor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Torgny Almgren

Adj professor vid Mathematics

Michael Patriksson

Professor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Karin Thörnblad

Doktorand vid Mathematics

Collaborations

GKN Aerospace Sweden

Trollhättan, Sweden

Funding

GKN Aerospace Sweden

Funding years 2008–2013

VINNOVA

Funding years 2008–2013

Swedish Research Council (VR)

Funding years 2008–2012

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

Production

Areas of Advance

Basic sciences

Roots

More information

Latest update

2016-01-12