Publication:
Extended Value Stream Mapping Method for Information based Improvement of Production Logistics Processes

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cris.customurl 14860
cris.virtual.department Automatisierungstechnik
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtualsource.department d27eae86-6d38-489c-b4c3-2eed27fb81cc
cris.virtualsource.department #PLACEHOLDER_PARENT_METADATA_VALUE#
dc.contributor.author Busert, Timo
dc.contributor.author Fay, Alexander
dc.date.issued 2019
dc.description.abstract The increasing availability of information from emergent systems and technology such as Industry 4.0 offers new possibilities for coordinating and controlling value stream processes. A six-staged procedure based on an extended value stream mapping method is introduced. This procedure systematically models and analyzes production and production logistics processes. The goal is to improve processes by applying appropriate control methods, based on harmonized information flows. Managerial lessons are introduced.
dc.description.version NA
dc.identifier.doi 10.1109/EMR.2019.2934953
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/14860
dc.language.iso en
dc.publisher IEEE
dc.relation.journal IEEE Engineering Management Review
dc.relation.orgunit Automatisierungstechnik
dc.rights.accessRights metadata only access
dc.title Extended Value Stream Mapping Method for Information based Improvement of Production Logistics Processes
dc.type Research article
dcterms.bibliographicCitation.originalpublisherplace Piscataway
dspace.entity.type Publication
hsu.peerReviewed ✅
hsu.uniBibliography ✅
oaire.citation.endPage 127
oaire.citation.issue 4, 1 Fourthquarter
oaire.citation.startPage 119
oaire.citation.volume 47(2019)
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