to consider when creating architectures (ISO 42010,
2011), and the focus of this paper is how to tackle this
gap in this reference architecture model in order to
develop such viewpoints using Archimate.
In order to represent the RAMI4.0’s structure in
Archimate, this paper provides a mapping from the
concepts presented in RAMI4.0 (DIN SPEC 91345)
to the Archimate notation.
Thus, the problem that originates the
development of this research is the feasibility of being
able to verify the existing conditions to carry out the
representation and modelling of such viewpoints to be
developed in RAMI4.0 domains using Archimate
language. For that purpose, this research validates the
theoretical mapping between RAMI4.0 and
Archimate concepts.
The major goal of this paper is to propose a
mapping between an EA language and a Reference
Architecture, using Archimate (notation), integrating
RAMI4.0 (Reference Architecture) with EA
principles and models in order to properly implement
Industry4.0 projects. This is then applied in the
analysis to the representation of a project currently
being implemented in an organization, following the
structure, principles and vocabulary of RAMI4.0,
through the modelling of 4 viewpoints.
The following questions lead the development of
this research:
Q1. How to model Reference Architecture Model
of Industry 4.0?
Q2. How to model RAMI4.0 and the respective
i4.0Component Model using Archimate?
The research methodology used in this paper is
based on the Design Science Research Methodology
(DSRM) (Vaishnavi and Kuechler, 2013).
The DSRM is developed in an iterative process of
six stages composed by: identify problem & motivate,
define objectives of a solution, design &
development, demonstration, evaluation and
communication.
The “Identify Problem and Motivate” step is
presented in section 1 The “Define Objectives of
Solution” step is presented in section 1.1 (Solution
Objectives). The “Design and Development” step is
presented in section 3 (Mapping Industry 4.0 in
Archimate). The “Demonstration” and evaluation
steps are presented in section 4. Finally, the
“Communication” step is presented in section 5.
2 RELATED WORK
2.1 Industry 4.0
Industry4.0 is a confluence of a number of
technologies. This term originated from the high-tech
strategy of the German government. Industry 4.0
introduces what has been called “Smart factory”
(Bitkom, ZVEI and VDMA, 2015) and includes
concepts as Cyber Physical Systems (CPS), the
Internet of Things, the Internet of Services, monitor
the physical processes of the factory and make
decentralized decisions. The physical systems are
becoming self-sustained through Internet of things,
Internet of Services, the Cloud, communicating and
cooperating with other things and with humans in real
time. In this respect, transformation to Industry 4.0 is
based on nine foundational technology advances: IoT,
Autonomous Robots, data analytics and artificial
intelligence (Big Data and Analytics), Simulation and
System Integration (CPS), Cloud systems, Additive
Manufacturing, Cybersecurity and Augmented
Reality.
Industry 4.0 was first declared by German
government during Hannover Fair in 2011 as the
beginning of the 4th industrial revolution. As
explained in Bitkom, VDMA, ZVEI’s report (2015),
an increasing number of physical elements obtain
receivers such as sensors and tags as a form of
constructive technology and these elements have
been connected after then the improvements seen in
Internet of Things field. Additionally, electronic
devices connection is conducted as a part of
distributed systems to provide the accessibility of all
related information in real time processing. On top of
it, ability to derive the patterns from data at any time
triggers more precise prediction of system behavior
and provides autonomous control. All these
circumstances influence the current business and
manufacturing processes while new business models
are being emerged. Hence, challengers for modern
industrial enterprises are appeared as more complex
value chains that require standardization of
manufacturing and business processes and a closer
relation between stakeholders.
2.2 Enterprise Architecture
Enterprise Architecture (EA) is a coherent whole of
principles, methods and models that are used in the
design and realization of an enterprise’s
organizational structure, business process,
information systems and infrastructure (Lankhorst
2005). Providing a holistic view of the enterprise,