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  4. VASCO - digging the dead man's chest of value streams
 
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2016
Journal Article
Title

VASCO - digging the dead man's chest of value streams

Abstract
Value stream mapping is a lean management method for analyzing and optimizing a series of events for production or services. Even today the first step in value stream analysis - the acquisition of the current state map - is still created using pen & paper by physically visiting the production line. We capture a digital representation of how manufacturing processes look like in reality. The manufacturing processes can be represented and efficiently analyzed for future production planning as a future state map by using a meta description together with a dependency graph. With VASCO we present a tool, which contributes to all parts of value stream analysis - from data acquisition, over analyzing, planning, comparison up to simulation of alternative future state maps. We call this a holistic approach for Value stream mapping including detailed analysis of lead time, productivity, space, distance, material disposal, energy and carbon dioxide equivalents - depending in a change of calculated direct product costs.
Author(s)
Berndt, Rene  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Silva, Nelson
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Caldera, Christian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Krispel, Ulrich  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Eggeling, Eva  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Sunk, Alexander
Fraunhofer Austria Research  
Reisinger, Gerhard
Fraunhofer Austria Research  
Sihn, Wilfried
Fraunhofer Austria Research  
Fellner, Dieter W.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
International journal on advances in intelligent systems  
Language
English
Fraunhofer AUSTRIA  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • process management

  • manufacturing

  • value chain

  • simulation

  • authoring

  • Lead Topic: Digitized Work

  • Research Line: Modeling (MOD)

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