[Back]

R. Willmann, S. Biffl, E. Serral Asensio:
"Determining Qualified Production Processes for New Product Ramp-up using Semantic Web Technologies";
Talk: 14th International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW), Graz; 2014-09-16 - 2014-09-19; in: "Proceedings of the 14th International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW)", ACM, (2014), ISBN: 978-1-4503-2769-5.

The manufacturing industry aims at reducing the time-to-volume
for new products with new production sites. A ramp-up team
needs to find a capable production process for a new production
site to produce the product in sufficient quality and volume efficiently
and with reasonable investment costs. Capable production
processes have to be qualified first regarding the specification
criteria of the created product. However, currently the ramp-up
team does not have a well-structured process to follow or a
measurement system for guidance. In this paper we propose the
"knowledge-based production ramp-up process" (K-RAMP) for
the ramp-up of a new product with specified requirements in a target
production system. Based on these knowledge assets, we
introduce the "ramp-up recommender system" that systematically
helps determine reusable processes in the target production system.
We use semantic web technology to define, design, and
evaluate the ramp-up process knowledgebase and recommender
system with a real-world use case. In the evaluation context the KRAMP
showed promising results and should be evaluated in a
wider range of production processes to help master shortening
product life-cycles.

OWL, process qualification, product ramp-up, semantic web, knowledge management