Process Quality Improvements in Global Production Networks
Rainer Silbernagel (),
Tobias Arndt,
Sina Peukert () and
Gisela Lanza ()
Additional contact information
Rainer Silbernagel: Karlsruhe Institute of Technology (KIT)
Tobias Arndt: GAMI – Global Advanced Manufacturing Institute
Sina Peukert: Karlsruhe Institute of Technology (KIT)
Gisela Lanza: Karlsruhe Institute of Technology (KIT)
Chapter 12 in Global Manufacturing Management, 2021, pp 167-177 from Springer
Abstract:
Abstract A key challenge for manufacturing companies today is to ensure overall process quality within their production network while working in globally distributed and dynamic environments. In this chapter, a description model to systematically analyze process quality across locations and identify improvement measures using a value stream-based approach is presented. In order to holistically increase process quality in the network, two evaluation procedures based on a hierarchical key performance indicator system are discussed. This method is especially useful in production networks, where certain products are manufactured in several steps across multiple plants.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)
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:mgmchp:978-3-030-72740-6_12
Ordering information: This item can be ordered from
http://www.springer.com/9783030727406
DOI: 10.1007/978-3-030-72740-6_12
Access Statistics for this chapter
More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().