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High Resolution Supply Chain Management – A Structural Model for Optimized Planning Processes Based on Real-Time Data

Abstract : The following paper presents an approach for enabling manufacturing companies to cope with dynamic environment conditions and the increasing planning complexity of present supply chains. High Resolution Supply Chain Management (HRSCM) strives to meet these challenges by applying cybernetic principles to the Production Planning and Control (PPC). Therefore, standardized information channels and coordination mechanisms are defined to be able to react even faster and more flexible. The presented structure of the HRSCM is derived from principles of the Viable System Model. Based on this the different system elements of the HRSCM, their functions and their interactions are described. Finally it is outlined how the developed model will be experimentally evaluated and gradually enhanced in future to enable improved decisions on all levels of production under volatile environmental conditions.
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Submitted on : Wednesday, May 17, 2017 - 4:36:17 PM
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Volker Stich, Tobias Brosze, Fabian Bauhoff, Florian Gläsner, Simone Runge, et al.. High Resolution Supply Chain Management – A Structural Model for Optimized Planning Processes Based on Real-Time Data. International Conference on Advances in Production Management Systems (APMS), Sep 2011, Stavanger, Norway. pp.123-131, ⟨10.1007/978-3-642-33980-6_15⟩. ⟨hal-01524207⟩

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