To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Optimization of schedules… - University of Gothenburg, Sweden Till startsida
To content Read more about how we use cookies on

Optimization of schedules for a multitask production cell

Conference paper
Authors Karin Thörnblad
Ann-Brith Strömberg
Torgny Almgren
Michael Patriksson
Published in Proceedings of The 22nd NOFOMA Conference in Kolding, Denmark, 10-11th of June 2010
Publication year 2010
Published at Department of Mathematical Sciences
Department of Mathematical Sciences, Mathematics
Language en
Keywords Production planning, Job-shop schedule, Optimization, Priority functions
Subject categories Optimization, systems theory, Physical planning


Purpose of this paper; To optimize production schedules of a real production cell containing multi-purpose machines working as a job-shop in a complex logistic environment producing aircraft engine components. The planning and control of the production in the so called multitask cell results in a complex combinatorial problem. Design/methodology/approach; A mathematical optimization model of the multitask cell has been developed and tested on real data instances. The current production planning prerequisites have been studied in order to choose an appropriate objective function. Findings; Production plans resulting from the optimization model, are compared with schedules formed by the First in First Out (FIFO) and Earliest Due Date (EDD) priority rules, which are similar to the current manual planning of the multitask cell. Practical implications; The proposed scheduling principle will shorten lead times, and provide a more efficient use of the resources of the multitask cell. The effects are most significant at times with high utilization of the cell. What is original/value of paper; The development of theory and practice of optimization, together with the development of computer hardware during the past decades, enable the utilization of optimization as a tool for computing efficient production schedules in a complex logistic environment.

Page Manager: Webmaster|Last update: 9/11/2012

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?