Authors:
Jens Feller
1
;
Bernhard Mauersberg
1
;
Wolfgang Mergenthaler
1
;
Yvonne Feller
2
and
Lutz Müller
3
Affiliations:
1
FCE Frankfurt Consulting Engineers GmbH, Germany
;
2
Heinz-Nixdorf-Berufskolleg, Germany
;
3
Porsche Leipzig GmbH, Germany
Keyword(s):
Combinatorial Optimization, Dynamic Optimization, Sequencing, Sorting, Set Theory.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Formal Methods
;
Industrial Networks and Automation
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Machine Learning in Control Applications
;
Modeling, Simulation and Architectures
;
Optimization Algorithms
;
Planning and Scheduling
;
Robotics and Automation
;
Simulation and Modeling
;
Symbolic Systems
Abstract:
One of the most important concepts in an automotive production process is that of a manufacturing sequence. Sequencing has a vital influence on a series of important performance indicators such as load balance, setup time, setup cost, timeliness, flow of material etc. Generating appropriate sequences has thus become a key task for the automotive production planner. Ensuring the stability of a sequence, once it has been determined, by sorting its actual version back into the form intended originally, however, with systematic means, is a new issue gaining recently more importance. This problem represents the main topic of the present paper. Instruments for physically resorting vehicles are sorting channels and parking spaces. Both instruments are closely related to one another, as will be shown.