HOSHIN KANRI visualization with Neo4j. Empowering Leaders to operationalize Lean Structural Networks

Authors: P. Jiménez, J. V. Díez, J. O. Meré

Abstract: Organizational leaders´ decision-making is being constrained by the limitations of Value Stream Map tool to show real time exchange information processes within their organizations. Therefore, the risk of making bad strategic value stream-related decisions based on misconceptions of the environment is high. In this research, an intuitive and self-configurable tool for HK visualization that is developed as a Neo4j graph database is presented. Based on the paradigm of (CPD)nA, this technology will help leaders to keep track of information exchange within Lean Structural Networks and, therefore, will pave the road for Lean Leaders to better make decisions on such complex networks.

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Paper presenter
Name:   Pablo Jiménez
Organization:  PMQ Research Group. ETSII.Universidad Politécnica de Madrid
Email: pablo.jimenezm@alumnos.upm.es
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