Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends. Issue 5 (4th March 2021)

• Record Type: Journal Article
• Authors: Sott, Michele Kremer; Furstenau, Leonardo B.; Kipper, Liane Mahlmann; Reckziegel Rodrigues, Yan Pablo; López-Robles, José Ricardo; Giraldo, Fáber D.; Cobo, Manuel J.
• Is Part Of: Business process management journal. Volume 27:Issue 5(2021)
• Page Start: 1391
• Page End: 1417
• Publication Date: 2021-03-04
• Subjects: Process modeling -- Business process management -- Industry 4.0 -- Digital transformation -- Science mapping -- Bibliometrics; Industrial management -- Periodicals; Reengineering (Management) -- Periodicals; Total quality management -- Periodicals; 658.4063
• DOI: 10.1108/BPMJ-05-2020-0181
• Languages: English
• ISSNs: 1463-7154

Abstract

Abstract : Purpose: The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works. Design/methodology/approach: To do this, a science mapping was performed using the software SciMAT, supported by VOS viewer. Findings: The results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories. Originality/value: It was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.