Visualisation for System Learning in Supply Chains
2007 (English)In: International Journal of Learning and Change, ISSN 1740-2875, Vol. 2, no 2, 170-191 p.Article in journal (Refereed) Published
Contemporary supply chains are vastly complex, and decisions made by actors have system-wide consequences that these might not be able to foresee. There are gaps between 'best practice'-founded theory and actual practice in supply chains. To remedy this, we argue, the supply chain actors need to enhance systems knowledge. There is a need to support development of mental models about systemic structures in the supply chain. This is difficult, if not outright impossible, to achieve in real-life settings. A supply chain visualisation microworld engine has therefore been developed, which forms the basis of a learning arena that supports system learning for the supply chain actors.
Place, publisher, year, edition, pages
InderScience Publishers, 2007. Vol. 2, no 2, 170-191 p.
Logistics; mental models; microworld engines; simulation; supply chain management; SCM; systemic structures; visualisation; learning; knowledge management.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-40658DOI: 10.1504/IJLC.2007.015508Local ID: 53754OAI: oai:DiVA.org:liu-40658DiVA: diva2:261507