Enhanced Visualization of Customized Manufacturing Data

Enhanced Visualization of Customized Manufacturing Data Olga Kurasova Mykolas Romeris University Ateities str. 20 LT-08303 Vilnius, [email protected] Virginijus Marcinkevičius [email protected] Birutė MikulskienėMykolas [email protected] ABSTRACTRecently, customized manufacturing is gaining much momentum. Consumers do not want mass-produced products but are looking for unique and exclusive ones. It especially evident in the furniture industry. As it necessary to set an individual price each individually manufactured product, companies face need quickly estimate a preliminary cost as soon order received. The task estimating costs precise timely possible has become critical manufacturing. estimation problem can be solved prediction using various machine learning (ML) techniques. In obtain more accurate prediction, delve deeper into data. visualization methods excellent this purpose. Moreover, consider that managers who product ML experts. Thus, data should integrated decision support system. On one hand, these simple, easily understandable interpretable. other include sophisticated approaches allowed reveal hidden structure. Here, dimensionality-reduction employed. paper, we propose process useful analysis get know better, allowing us develop enhanced models.