FG Automatisierungstechnik
The optimization processes in production planning often encounter problems due to unavailability of skilled workers in the concerned production departments since the decisions made in uncertain situations rely mainly on the knowledge possessed by the relevant planners. This paper further presents and elaborates the unified web-based knowledge based decision support system concept to automate and reuse implicit knowledge generated during interaction with the dedicated software tools as well as during interaction with real hardware setups in an industrial environment. The unified concept has been devised considering two pilot cases i.e. decision making on eco-efficient decentralized production schemes for manufacturing customized products and decision support for solving problems in ramp-up management process. This paper further discusses the development issues concerning web-based knowledge based decision support system to demonstrate the unified concept. The software modules from both pilot cases are validated considering two pilot cases.
Nutzung von Erfahrungswissen im Fahrzeuganlaufmanagement. Bewertung und Auswahl geeigneter Methoden
(2013)
Elicitation of Requirements for a Knowledge Management Concept in Decentralized Production Planning
(2013)
The planning in manufacturing system is becoming
complicated day by day due to the expanding networks and shortage
of skilled people to manage change. Consequently, faster lead time
and rising demands for eco-efficient evaluation of manufacturing
products and processes need exploitation of new and intelligent
knowledge management concepts for manufacturing planning. This
paper highlights motivation for incorporation of new features in the
manufacturing planning system. Furthermore, it elaborates
requirements for the development of intelligent knowledge
management concept to support planning related decisions.
Afterwards, the derived concept is presented in this paper considering
two case studies. The first case study is concerned with the
automotive ramp-up planning. The second case study specifies
requirements for knowledge management system to support decisions
in eco-efficient evaluation of manufacturing products and processes.