Applying Genetic Algorithms to the Optimization of Production Planning in a Real-World Manufacturing Environment

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

In this paper we present an optimization approach to a real-world production planning problem. Based on raw data that have been extracted from the Production, Planning and Control System of a company which produces special purpose vehicles and equipment, we have developed an architecture of an optimization system for production planning and scheduling in the manufacturing line of this company. The paper itself is divided into two major parts. The first part mainly deals with the theoretical background of production planning problems. In the second part of the paper we give an overview of the concrete scenario which is the subject of our research. Based on these fundamentals, we describe our approach to the problem, the modelling process and the architecture of the optimization system we plan to implement.
Original languageEnglish
Title of host publicationCybernetics and Systems 2004
PublisherAustrian Society for Cybernetic Studies
Pages41-46
Publication statusPublished - 2004
EventEuropean Meeting on Cybernetics and Systems Research 2004 - Wien, Austria
Duration: 13 Apr 200416 Apr 2004

Conference

ConferenceEuropean Meeting on Cybernetics and Systems Research 2004
CountryAustria
CityWien
Period13.04.200416.04.2004

Keywords

  • Heuristic Optimization
  • Production Planning
  • Scheduling

Fingerprint Dive into the research topics of 'Applying Genetic Algorithms to the Optimization of Production Planning in a Real-World Manufacturing Environment'. Together they form a unique fingerprint.

Cite this