Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments

Abstract

One of the most exciting new capabilities in Smart Manufacturing (SM) and Cyber-Physical Production Systems (CPPS) is the provisioning of manufacturing services as unbundled "apps or services", which could be significantly more flexible and less expensive to use than the current generation of monolithic manufacturing applications. However, bundling and integrating heterogeneous services in the form of such apps or composite services is not a trivial job. There is a need for service vendors, cloud vendors, manufacturers, and other stakeholders to work collaboratively to simplify the effort to "mix-and-match" and compose the apps or services. In this regard, a workshop was organized by the National Institute of Standards and Technology (NIST) and the Open Applications Group Inc. (OAGi), with the purpose to identifythrough parallel sessionstechnology and standard needs for improving interoperability and composability between services. The workshop was organized into five working session. This paper documents evidences gathered during the "Smart Manufacturing Systems Characterization" (SMSC) session, which aims at establishing a roadmap for a unified framework for assessing a manufacturer's capability, maturity and readiness level to implement Smart Manufacturing. To that end, the technology maturity, information connectivity maturity, process maturity, organizational maturity, and personnel capability and maturity, have been identified as critical aspects for Smart Manufacturing adoptions. The workshop session culminated at providing a coherent model and method for assisting manufacturing companies in their journey to smart manufacturing realizations. This paper shows three different maturity models and tools that, thanks to their complementarity, enable one to reflect on the different perspectives required by SMSC. These models and tools are usable together for assessing a manufacturing company's ability to initiate the digital transformation of its processes towards Smart Manufacturing. Therefore, based on their comparison, the ultimate purpose of the research is to come up with a set of coherent guidelines for assessing a manufacturing system and its management practices for identifying improvement opportunities and for recommending SM technologies and standards for adoption by manufacturers.

Maturity model for determining digitalization levels within different product lifecycle phases

“…Before starting the digitalization of a manufacturing company, it is necessary to understand the current digital state of the company [9,10]. A maturity model can be used to determine the digitalization level.…”

The Development of the Maturity Model to Assess the Smart Indonesia Manufacturing Companies 4.0 Readiness

“…Currently, to assess the industry's readiness and maturity 4.0, experts have compiled and developed many models of maturity assessment [2,[5][6][7], including in this case, an Indonesia Industry assessment model 4.0 Readiness Index (INDI 4.0), a reference index for industry and government in rating the level of readiness of the industry to transform towards industry 4.0 in Indonesia. Some of the models found in the literature and have been published were IMPULS [8,9], An Industry 4.0 readiness assessment tool [10], The Singapore Smart Industry Readiness Index [11], Industry 4.0 Maturity Model [2], and Industry 4.0-MM [6].…”

Implementation of Smart Manufacturing Maturity Assessment Framework：A Socio-Technical Perspective

“…Several studies (Schumacher, 2016; De Carolis, 2017) have compared existing maturity and readiness models in Smart Manufacturing or Industrie 4.0 domains [1,2]. Mittal (2018) has critically reviewed currently available smart manufacturing or Industrie 4.0 maturity models, and provided insights that help towards developing a realistic Smart Manufacturing or Industrie 4.0 maturity model for enterprises that reflects their industrial realities more accurately [3].…”