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 at Mathematical Sciences, Mathematics

Torgny Almgren

Adj professor at Mathematical Sciences, Mathematics

Michael Patriksson

at Mathematical Sciences, Mathematics

Karin Thörnblad

Doktorand at Mathematical Sciences, Mathematics

Collaborations

GKN Aerospace Sweden

Trollhättan, Sweden

Funding

VINNOVA

Funding years 2008–2013

Swedish Research Council (VR)

Funding years 2008–2012

GKN Aerospace Sweden

Funding years 2008–2013

Related Areas of Advance and Infrastructure

Production

Area of Advance

Transport

Area of Advance

Sustainable Development

Chalmers Driving Force

Basic Sciences

Chalmers Roots

More information

Latest update

2016-01-12