AN EXPLORATORY STUDY TO EVALUATE THE PRACTICAL APPLICATION OF PSS METHODS AND TOOLS BASED ON TEXT MINING
Editor: Christian Weber, Stephan Husung, Gaetano Cascini, Marco CantaMESsa, Dorian Marjanovic, Frederico Rotini
Author: Marques, Caio Augusto Nunes; Matsuno, Ivone Penque; Sinoara, Roberta Akemi; Rezende, Solange Oliveira; Rozenfeld, Henrique
Institution: University of São Paulo, Brazil
Section: Product Modularisation, Product Architecture, Systems Engineering, Product Service Systems
Product Service System (PSS) is an approach in which the focus is on producing and delivering value in use instead of transferring physical goods ownership. In other to design PSS, some authors have been adapting methods and tools from traditional product design and others have been developing new specifically methods and tools. The description of those methods and tools is available in many sources of information, like thousands of publications in journals, and can only be analyzed based on Text Mining (TM) techniques. This paper reports an exploratory study whose purpose was to develop a procedure based on Text Mining techniques to support the identification of PSS design methods and tools which have been already applied in practical real cases. The research comprises the development of the first version of the procedure, employing TM techniques such as Named Entity Recognition, Association Rules and Bag of Expressions of the Domain. A Proof of Concept (PoC) was performed to verify whether the procedure is feasible and to identify future works possibilities. The PoC showed promising results and opened several possibilities to improve the procedure.