A Comprehensive Maturity Model for Assessing the Product Lifecycle

Abstract

Digitalization is one of the most frequently discussed topics in industry. New technologies, platform concepts and integrated data models do enable disruptive business models and drive changes in organization, processes, and tools. The goal is to make a company more efficient, productive and ultimately profitable. However, many companies are facing the challenge of how to approach digital transformation in a structured way and to realize these potential benefits. What they realize is that Product Lifecyle Management plays a key role in digitalization intends, as object, structure and process management along the life cycle is a foundation for many digitalization use cases. The introduced maturity model for assessing a firm's capabilities along the product lifecycle has been used almost two hundred times. It allows a company to compare its performance with an industry specific benchmark to reveal individual strengths and weaknesses. Furthermore, an empirical study produced multidimensional correlation coefficients, which identify dependencies between business model characteristics and the maturity level of capabilities.

Determination of Engineering Digitalization Maturity

“…In recent years a variety of maturity models were developed mostly based on the structure of general models (CMMIs and SPICE) which aim to measure the maturity of companies with focuses on latest related topics to the industry. Figure 3 shows some of these maturity models identified in the recent literature concerning the requirements mentioned in chapter 2.2 (Schuh et al, 2020;Lichtblau et al, 2015;Jodlbauer and Schagerl, 2016;Leyh et al, 2016;Batenburg et al, 2006;Klötzer and Pflaum, 2017;Berghaus, Sabine and Back, Andrea, 2016;Pfenning et al, 2020;Vogelsang, 2018;Schumacher et al, 2019).…”