SelfOrder
selfoptimizing and ordertype-related cybernetics of the order initiation in overload situations of small and medium-sized enterprises with a huge amount of short-term incoming orders
The main objective of the project was the design of a decision support for the order initiation of small and medium-sized enterprises with a huge amount of short-term incoming orders in overload situations.
The research project “SelfOrder” provided a valid and understandable decision support for self-optimizing order initiation for producing small and medium-sized enterprises with a high amount of short-term orders with a special focus on overload situations. The project developed in combination with existing and purposed methods of IT planning systems for the order initiation, especially in overload situations, a new and proper decision support, in order to react appropriate on market-side factors. This project should give answers for production planner of small and medium-sized enterprises to the following questions, in order for a goal-compliant prioritize of short-term orders in overload situations:
- How can I as a production planner identify important orders quickly in overload situations?
- How does the prioritization have an impact on my existing orders?
- How can I influence my logistic objectives positively despite of my manual intervention?
Project partners
Topic Area
- Production Management
Research Focus
- Auftragsmanagement
- Produktionsregelung
Contactperson
Projectinfos
Duration
Funding no.
17555 N
Funding information
Das IGF-Vorhaben 17555N der Forschungsvereinigung Forschungsinstitut für Rationalisierung e.V. - FIR an der RWTH Aachen, Pontdriesch 14/16, 52062 Aachen wurde über die AiF im Rahmen des Programms zur Förderung der industriellen Gemeinschaftsforschung (IGF) vom Bundesministerium für Wirtschaft und Technologie aufgrund eines Beschlusses des Deutschen Bundestages gefördert.
