High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data
- 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.
| Author: | Günther SchuhORCiDGND, Volker StichORCiDGND, Tobias BroszeGND, Sascha Fuchs, Christian Pulz, Jerome Quick, Maik SchürmeyerGND, Fabian BauhoffGND |
|---|---|
| URL: | https://link.springer.com/article/10.1007/s11740-011-0320-3 |
| DOI: | https://doi.org/10.1007/s11740-011-0320-3 |
| Parent Title (English): | Production Engineering – Research and Development |
| Document Type: | Contribution to a Periodical |
| Language: | English |
| Date of Publication (online): | 2023/09/08 |
| Date of first Publication: | 2011/05/12 |
| Release Date: | 2023/09/08 |
| Tag: | Echtzeitfähigkeit; SCM control theory; logistics; production management; production planning and control; realtime capability; supply chain management; viable system model |
| GND Keyword: | SelbstoptimierungGND; Supply-Chain-ManagementGND; ProduktionsplanungGND; ProduktionssteuerungGND; LogistikGND; ProduktionsmanagementGND |
| Volume: | 5 |
| Issue: | 4 |
| First Page: | 433 |
| Last Page: | 442 |
| FIR-Number: | SV5814 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Produktionsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
