DocumentCode :
3001385
Title :
Using data analysis for discovering improvement potentials in production process
Author :
Ansari-Ch, Fazel ; Dienst, Susanne ; Uhr, Patrick ; Fathi, Madjid
Author_Institution :
Inst. of Knowledge Based Syst. & Knowledge Manage., Univ. of Siegen, Siegen, Germany
fYear :
2011
fDate :
14-16 March 2011
Firstpage :
281
Lastpage :
286
Abstract :
Today technical product documentation and also related product use phase feedback contain valuable information about the company´s products. In addition processing of various types of feedback provides opportunities for improvement potentials in product development especially in the next product generation and for increasing customer satisfaction. In this context, the acquired information is the key source of procedural knowledge particularly in product life cycle/data management. In the previous publications, various knowledge based methods/functions like Bayesian Network, Dynamic Bayesian Network and Aggregation are presented, based on a kind of Assistance System for integration of product use information into product development. This paper presents a data integration approach through establishing an Assistance System for steel industry applications particularly for moderating of heat treatment process. In addition, a concept for using indicator systems for evaluating the performance of the Assistance System and particularly information quality is presented.
Keywords :
customer satisfaction; heat treatment; product codes; product life cycle management; steel industry; aggregation; assistance system; customer satisfaction; data analysis; data integration; data management; dynamic Bayesian network; heat treatment process; improvement potential discovery; knowledge based functions; knowledge based methods; phase feedback; product development; product documentation; product life cycle management; product use information; production process; steel industry applications; Heat treatment; Metals industry; Steel; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2011 IEEE International Conference on
Conference_Location :
Auburn, AL
ISSN :
Pending
Print_ISBN :
978-1-4244-9064-6
Type :
conf
DOI :
10.1109/ICIT.2011.5754388
Filename :
5754388
Link To Document :
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