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High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data

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Abstract

The efficient dealing with the dynamic environment of production industries is one of the most challenging tasks of Supply Chain Management in high-wage countries. Relevant and current information are still not used sufficiently, to handle the influence of the dynamic environment on intra- and inter-company order processing adequately. Among other things, the problem is caused by missing or delayed feedback of relevant data. As a consequence of that, planning results differ from the actual situation of production. High Resolution Supply Chain Management describes an approach aiming on high information transparency in supply chains in combination with decentralized, self-optimizing control loops for Production Planning and Control. The final objective is to enable manufacturing companies to produce efficiently and to be able to react to order-variations at any time, requiring process structures to be most flexible.

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Acknowledgments

The depicted research has been funded by the German Research Foundation DFG as part of the Cluster of Excellence “Integrative Production Technology for High-Wage Countries”.

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Correspondence to Fabian Bauhoff.

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Schuh, G., Stich, V., Brosze, T. et al. High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data. Prod. Eng. Res. Devel. 5, 433–442 (2011). https://doi.org/10.1007/s11740-011-0320-3

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