Scheduling optimisation of a real flexible job shop including fixture availability and preventive maintenance
Artikel i vetenskaplig tidskrift, 2015

The multitask cell at GKN Aerospace Sweden is a flexible job shop containing ten resources aimed at being flexible with regard to product mix and processing types. We present a time-indexed formulation of the problem of optimally scheduling the planned jobs on the resources, also considering a limited availability of fixtures as well as required preventive maintenance activities. The objective is to minimize a weighted sum of the completion times and tardiness for the jobs, where the tardiness weight for a given job is a non-increasing function of its due date. We propose a fast iterative approach to finding a suitable value of the length of the time horizon that needs to be set for the time-indexed formulation and which considerably influences the computation time. Computational results show that the method developed is able to produce optimal, or near-optimal, schedules for real data instances within an acceptable practical time frame.

time-indexed formulation

mathematical optimization

time horizon

dynamic scheduling

objective weights

flexible job shop scheduling problem (FJSP)

preventive maintenance

fixture availability

production planning

Författare

Karin Thörnblad

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

Ann-Brith Strömberg

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

Michael Patriksson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Torgny Almgren

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

European Journal of Industrial Engineering

1751-5254 (ISSN)

Vol. 9 1 126-145

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Matematik

Beräkningsmatematik

Diskret matematik

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Produktion

Fundament

Grundläggande vetenskaper

DOI

10.1504/EJIE.2015.067451

Mer information

Senast uppdaterat

2021-07-12