Visualisation for system learning in supply chains
by Magnus Lindskog, Mats Abrahamsson, Hakan Aronsson
International Journal of Learning and Change (IJLC), Vol. 2, No. 2, 2007

Abstract: 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.

Online publication date: Mon, 22-Oct-2007

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