TY  - NEWS
A1  - Schuh, Günther
A1  - Stich, Volker
A1  - Brosze, Tobias
A1  - Fuchs, Sascha
A1  - Pulz, Christian
A1  - Quick, Jerome
A1  - Schürmeyer, Maik
A1  - Bauhoff, Fabian
T1  - High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data
T2  - Production Engineering – Research and Development
N2  - 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.
KW  - Echtzeitfähigkeit
KW  - SCM
KW  - supply chain management
KW  - Selbstoptimierung
KW  - Supply-Chain-Management
KW  - Produktionsplanung
KW  - Produktionssteuerung
KW  - Logistik
KW  - Produktionsmanagement
KW  - production management
KW  - production planning and control
KW  - logistics
KW  - realtime capability
KW  - viable system model
KW  - control theory
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2888
UR  - https://link.springer.com/article/10.1007/s11740-011-0320-3
VL  - 5
IS  - 4
SP  - 433
EP  - 442
ER  -