M2DDM – A Maturity Model for Data-Driven Manufacturing

Abstract

To stay competitive in a global market, companies strive to adjust their IT architectures to the characteristics of Industrie 4.0. This means the adaptation of a data-driven manufacturing model, which includes the horizontal and vertical integration of the value chain and the management of data across the whole product life cycle. Currently companies face two major problems in this transformation of their IT architectures: 1) There are multiple reference architectures for Industrie 4.0, whose suitability has not been evaluated in a straightforward way. 2) There are no maturity models to objectively assess data-driven IT architectures. In this work we address these problems by providing an overview of Industrie 4.0 features in multiple reference architectures and developing a maturity model for IT architectures for data-driven manufacturing. We first give an overview of the current maturity models with aspects of data-driven manufacturing. Based on this overview we survey three reference architectures for Industrie 4.0: the Industrial Internet Reference Architecture, the Reference Architecture Model Industrie 4.0, and the Stuttgart IT Architecture for Manufacturing. We analyze and assess each approach and define maturity levels for data-driven manufacturing to guide companies in the adaption process of Industrie 4.0, as well as criteria for meeting these levels.