A method for supporting the transformation of an existing production system with its integrated Enterprise Information Systems (EISs) into a Cyber Physical Production System (CPPS)
Introduction
The manufacturing industry is facing challenging trends, such as highly customized products, increasing product complexity and shorter product lifecycles. Cyber Physical Systems (CPSs), which are characterized by a tight interaction of computational and physical elements to provide intelligence, responsiveness and adaptation (Leitão et al., 2016), are part of the solution for tackling the growing challenges that manufacturing industries are facing. The specific application of CPSs to production environments results in Cyber-Physical Production Systems (CPPSs).
Although CPPSs can bring many benefits, the real-scale implementation of CPPSs in industrial practices is still in its infancy due to the legacy barrier (Calderón Godoy and González Pérez, 2018). Actually, enterprises are still conservative in adopting new solutions, especially because of the lack of roadmaps and methodologies that support the transformation from legacy systems to a CPPS. Therefore, a comprehensive transformation methodology is required to support industries to move from their legacy systems towards a CPPS.
Transformation approaches are being proposed in recent years, but not many. These approaches either focused on the retrofit of specific elements of CPPSs (i.e., retrofit of machine tools (Lins et al., 2017)) without considering all elements of CPPSs especially Enterprise Information Systems (EISs), or focused on improving some performance of legacy systems without full transformation into CPPSs, as in (Calderón Godoy and González Pérez, 2018; Orellana and Torres, 2019; Di Carlo et al., 2021). Therefore, to the best of the authors’ knowledge, no comprehensive methodologies on the transformation from legacy systems to CPPSs have been proposed so far.
Consequently, transformation of legacy systems into CPPSs is an emerging topic that is growing rapidly and deserves more attention. However, this is a very broad topic and includes overwhelming and complex tasks that cannot be simply handled by this paper. While the ultimate goal is to develop a comprehensive methodology for transforming legacy systems into CPPSs, at the moment the paper is a preliminary study positioned at the concept development stage which attempts to provide a partial contribution to this broad topic. The contribution of the paper consists of a meta-model defining all necessary elements of a CPPS, with a particular emphasis on involved EISs, and a method for transforming an existing production system with its integrated EISs into a CPPS to guide industry practitioners in visualizing which elements need to be added and modified to become a real CPPS.
The rest of the paper is organized as follows: In Section 2, we propose the definition of CPPSs and further elaborate the research problem, scope and objective. Section 3 presents the related works of the transformation methods into CPPSs. Section 4 presents the meta-model of CPPSs and Section 5 presents the method for the transformation into a CPPS. Section 6 illustrates the use of this method with a case study. Section 7 concludes the paper by synthesizing the contribution and indicating future research directions.
Section snippets
The definition of CPPSs
There are many definitions of CPPSs, but there is no consensus on a formal definition. There are two distinct categories of research streams on the definition of CPPSs. As for CPSs in general, the first research stream advocates that a CPPS is the glue (i.e. a middleware layer) that connects the cyber world with the physical world, as in (Wang et al., 2015). The second research stream advocates that a CPPS is a system of systems in which cyber components work seamlessly and in synergy together
Related works on transformation methods
As stated in Section 2.3, the research scope of the paper is concept development. Therefore, this section presents an overview of transformation methods relevant for the concept development stage and identifies the research gap.
Wu et al. (2020) have already proposed a systematic literature review of existing approaches used in the concept development stage of CPPSs. We refer to some of the articles they reviewed but reanalyze them from the perspective of transformation. According to this
Meta-model of CPPSs
This section presents a meta-model that specifies the main object classes of CPPSs and their interrelationships. The following sub-sections present how to extract classes and how to establish their interrelationships for setting up the meta-model.
A method for transforming an existing production system with its integrated EIS into a CPPS
By instantiating the meta-model, a method for the transformation of an existing production system with its integrated EISs into a CPPS is proposed in this section. The instantiation principles of the meta-model are first described. Then, based on these principles, a method for the transformation is presented.
Case study
To illustrate the use of the method, an academic case study is presented to clarify each step of the method. As the method is positioned at the concept development stage, this case study refrains from deeper technological details. In addition, as the case study is for illustrating the use of the method, not for technological validation in industry cases, it is a simplified case inspired by a production line of the LS2N Laboratory at the University of Nantes, France.
Conclusion and outlook
CPPSs can be considered as extremely important advances in the development of production systems to progress towards Smart Manufacturing or Industry 4.0. Transformation solutions of legacy systems into CPPSs are being proposed by academics. However, existing studies only focused on the transformation of specific elements of CPPSs (i.e., retrofit of machine tools), without considering all elements of CPPSs especially involved EISs. This work aims to propose a method for supporting the
CRediT authorship contribution statement
Xuan Wu: Methodology, Validation, Writing - Original Draft, Writing - Review & Editing. Virginie Goepp: Methodology, Validation, Writing - Review & Editing, Supervision. Ali Siadat: Validation, Writing - Review & Editing, Supervision. François Vernadat: Methodology, Writing - Review & Editing, Supervision.
Funding
This work was supported by China Scholarship Council under Grant 201706020154.
Declaration of Competing Interest
The authors declare that they have no conflict of interest.
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