Miguel Ángel Mateo-Casali1, Francisco Fraile1, Andrés Boza1, and Raul Poler1

1 Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022 Valencia (Spain).

mmateo@cigip.upv.es, ffraile@cigip.upv.es, aboza@cigip.upv.es, rpoler@cigip.upv.es

Keywords: Capability Maturity Model Integration, Industry 4.0, ISA-95, Manufacturing Execution System, Manufacturing Enterprise System Association.

Economic globalization and society’s increasing consumption have created the need for companies to optimize and improve production processes. Thanks to new technologies, it is possible to increase their efficiency to achieve the required goals. The degree of automation in factories is already high, so changing the production process does not generate a significant increase in efficiency.

The objective of this work is to establish an action protocol to implement the state of a Manufacturing Execution System (MES) in a factory. A maturity model will be proposed to analyze the state of implementation of Industry 4.0 Manufacturing Execution Systems based on three of the three dimensions (Technical, Operational and Human). The development levels in each of these are based on CMMI (Capability Maturity Model Integration). The aim is to establish an action protocol focused on the analysis of the state of digital transformation in the production chain within a factory.

The use of information technologies has generated software development needs within manufacturing companies. This phenomenon is known as CIM (Computer Integrated Manufacturing). CIM is a philosophy of approaching an integrated organization of the factory and its management. It is about integrating design, manufacturing, and management through information systems. The CIM standard is divided into 5 levels [1].

Capability maturity model integration (CMMI) is a model for evaluating an organization’s processes, which was developed by Carnegie-Mellon University (USA) in 1986 for software implementation processes. It consists of establishing a set of key practices in processes and good practices (Documentation of processes, providing the organization with the necessary training, executing in a systematic, universal and uniform way…). All these practices are grouped into five “maturity levels” (Initial, Repeatable, Defined, Managed, Optimizing) [2], so that the company or organization that complies with all the practices included in a level and the previous ones will be considered to have reached that level of maturity.

We will make a measurement matrix to determine the state of technological implementation. This will be the basis for identifying all the steps needed to move from the traditional to the digital factory based on the current analysis. The Technical, Operational and Human dimensions refer to technologies, processes, and people roles, while the columns of the matrix describe the development steps for each application field. The higher the level, the higher its digitalization, so the five columns represent five levels of digital maturity in the production system [3]. This snapshot will be the means for the user to identify the steps needed to adopt digital automation in a smooth and stepwise manner. The rows of the matrix will tell us which fields are important to enhance to improve.

In conclusion, the objective of this work is to develop a maturity model for the analysis of the quality of digital quality of digital transformation, focusing on the implementation of MES in a production plant. For this purpose, a maturity model has been developed using the CMMI basis for the analysis of the implementation status and manufacturing systems. This allows us to obtain a picture of the state of a factory at a specific moment in the digital transformation process, focusing on the three fundamental pillars of production, which are the operational, technological, and human parts. To provide this picture of the industry, an analysis matrix has been developed whose structure is based on the developed maturity model.

In future work we will implement this matrix to define the different maturity levels in an application that allows us to easily use this previously created maturity model within a company’s organization.


  1. Junín Durán de Leon, A., Cruz Rentería, J. R., Muñoz Zamora, G., Garcia-alva, S., Gutierrez-torres, L., & Sanchezz Hernández, Z. (2016). Desarrollo de Software basado en el estándar ISA-95. March.
  2. Finkelstein, A. (1992). A Software Process Immaturity Model. 17(4), 22–23.
  3. Ambra Cala, A. L., Boschi, F., Tavola, G., & Taisch, M. (2018). Migration towards digital manufacturing automation – An assessment approach. Proceedings – 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018, 714–719. https://doi.org/10.1109/ICPHYS.2018.8390795



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Proceedings of the 15th International Conference on Industrial Engineering and Industrial Management and XXV Congreso de Ingeniería de Organización Copyright © by (Eds.) José Manuel Galán; Silvia Díaz-de la Fuente; Carlos Alonso de Armiño Pérez; Roberto Alcalde Delgado; Juan José Lavios Villahoz; Álvaro Herrero Cosío; Miguel Ángel Manzanedo del Campo; and Ricardo del Olmo Martínez is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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