Optimization of 4D Process Planning using Genetic Algorithms

Vogel, Manfred; Breit, Manfred; Märki, Fabian

The presented work focuses on the presentation of a discrete event simulator which can be used for automated sequencing and optimization of building processes. The sequencing is based on the commonly used component–activity–resource relations taking structural and process constraints into account. For the optimization a genetic algorithm approach was developed, implemented and successfully applied to several real life steel constructions. In this contribution we discuss the application of the discrete event simulator including its optimization capabilities on a 4D process model of a steel structure of an automobile recycling facility.

Cite

Citation style:

Vogel, Manfred / Breit, Manfred / Märki, Fabian: Optimization of 4D Process Planning using Genetic Algorithms. 2004.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

open graphic

Rights

Use and reproduction:
All rights reserved

Export