Improving Factory Planning by Analyzing Process Dependencies

Christian Büscher (), Hanno Voet, Tobias Meisen, Moritz Krunke, Kai Kreisköther, Achim Kampker, Daniel Schilberg and Sabina Jeschke
Additional contact information
Christian Büscher: IMA/ZLW & IfU, RWTH Aachen University
Hanno Voet: WZL, RWTH Aachen University
Tobias Meisen: IMA/ZLW & IfU, RWTH Aachen University
Moritz Krunke: WZL, RWTH Aachen University
Kai Kreisköther: WZL, RWTH Aachen University
Achim Kampker: WZL, RWTH Aachen University
Daniel Schilberg: IMA/ZLW & IfU, RWTH Aachen University
Sabina Jeschke: IMA/ZLW & IfU, RWTH Aachen University

A chapter in Automation, Communication and Cybernetics in Science and Engineering 2015/2016, 2016, pp 813-825 from Springer

Abstract: Abstract Production companies in high-wage countries face growing complexity in their production conditions due to increasing variance and shorter product lifecycles. To enable the needed flexibility in production with respect to short-term changes, factory planning has to be transparent in such a way that the effects on production are traceable. Therefore, a modular planning approach combined with a continuous information management is necessary. The combination of the approaches of Condition Based Factory Planning and Virtual Production Intelligence provides the basis for an analysis of process dependencies during factory planning projects. This analysis is supposed to increase transparency of information flows and to reach traceability.

Keywords: Condition Based Factory Planning; Virtual Production Intelligence; Integrative Information Model; Key Performance Indicators (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-42620-4_62

Ordering information: This item can be ordered from
http://www.springer.com/9783319426204

DOI: 10.1007/978-3-319-42620-4_62

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().