Using data analysis for discovering improvement potentials in production process

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 [1], [2] 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.

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