DERIVATION OF DESCRIPTION FEATURES FOR ENGINEERING CHANGE REQUEST BY AID OF LATENT DIRICHLET ALLOCATION

Proceedings of the Design Society DESIGN Conference, vol. 1, pp. 697–706

Abstract

Abstract Complex products and shorter development cycles lead to an increasing number of engineering changes. In order to be able to process these changes more effectively and efficiently, this paper develops a description model as a first step towards a data driven approach of processing engineering change requests. The description model is systematically derived from literature using text mining and natural language processing techniques. An example of the application is given by an automated classification based on similarity calculations between new and historic engineering change requests.

Authors 5

1. Michael Riesener Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

2. Christian Dölle Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

3. Michael Mendl-Heinisch Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

4. Günther Schuh Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany

5. Alexander Keuper corresponding Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Germany