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Similarity-based product search for next generation process planning

 
: Lenz, Jürgen; Denner, Timo; Lickefett, Michael; Bauernhansl, Thomas

:
Postprint urn:nbn:de:0011-n-3039085 (290 KByte PDF)
MD5 Fingerprint: b63a2ad242f05a30181fc8a777101418
Erstellt am: 6.9.2014


Procedia CIRP 33 (2015), S.59-63
ISSN: 2212-8271
International Conference on Intelligent Computation in Manufacturing Engineering (ICME) <9, 2014, Capri>
European Commission EC
017-162639; WiES-Pro
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Ähnlichkeitsanalyse; Produktsuche; Fertigungsprozess; Fertigungsplanung; digitales Werkzeug; Software Werkzeug; CNC Steuerung

Abstract
The main challenges for companies in today's environment are an increased demand for customized products, shorter product life cycles and the resulting higher amount of variants. This leads to significant growth in existing production data. Additionally, improved ICT-systems and networks enable production planners to access a broader range of data, containing previous solutions and best practices and therefore the required knowledge and experience. Currently this knowledge and experience is not sufficiently used, as the process planning, work scheduling and route sheet generation is often a manual process, relying on the personal experience of the planner. This paper presents an approach to support the process planning with the help of an innovative method and corresponding digital tool. The digital tool gathers the master data records and numerical control code from previous products. It provides a library of attributes describing the products and the production processes. Through the employment of the developed method and digital tool, process planning can be sped up and standardize by eliminating or reducing manual search. Double work can be avoided. In total, the method and digital tool enable process planners to react faster and more accurately while gaining a competitive edge in dealing with the challenges on the global markets.

: http://publica.fraunhofer.de/dokumente/N-303908.html