BPMN Extension for Multi-Protocol DataOrchestration

Chiș, Andrei; Ghiran, Ana-Maria

doi:10.1007/978-3-030-93547-4_28

Cited by 3 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BPMN defines a Business Process Diagram (BPD), which is based on a flowcharting technique tailored for creating graphical models of business process operations. A Business Process Model, then, is a network of graphical objects, which are activities (i.e., work) and the flow controls that define their order of performance (Chis & Ghiran, 2022;Lapeña et. al., 2022;Strutzenberger et al, 2021).…”

Section: A Bpmn Basicsmentioning

confidence: 99%

TM4BPPMN: Recasting BPMN to Low-Level of Abstraction

Lamghari¹

2022

ASMScJ

View full text Add to dashboard Cite

Business process modelling languages are a very prominent mechanism to understand companies’ business processes. This mechanism allows managers to communicate and transversal information through a semantic flow for business process improvement. Examples of Business Process modelling languages are Unified Modeling Language (UML) or Business Process Modeling Notation (BPMN). UML presents alternative views to model company’s functionalities. While, BPMN still have a very abstracted level to model Business Processes. In this context, there are many BPMN extensions to break down its high-level of abstraction. However, most of existing BPMN extensions model a significant increase in business process complexity that deviate it from its crucial objective. This put forward the difficulty of detailing control flow related to information systems without reaching complexity. To that end, we propose our TM4BPMN extension for breaking-down BPMN high abstraction to low-level, to maintain BPMN facility in representing BPs, using Thinging Machine (TM) techniques.

show abstract

Section: A Bpmn Basicsmentioning

confidence: 99%

TM4BPPMN: Recasting BPMN to Low-Level of Abstraction

Lamghari¹

2022

ASMScJ

View full text Add to dashboard Cite

show abstract

A service-oriented energy assessment system based on BPMN and machine learning

Yan

Wang

Gong

et al. 2022

Auton. Intell. Syst.

View full text Add to dashboard Cite

Increasing energy cost and environmental problems push forward research on energy saving and emission reduction strategy in the manufacturing industry. Energy assessment of machining, as the basis for energy saving and emission reduction, plays an irreplaceable role in engineering service and maintenance for manufacturing enterprises. Due to the complex energy nature and relationships between machine tools, machining parts, and machining processes, there is still a lack of practical energy evaluation methods and tools for manufacturing enterprises. To fill this gap, a serviced-oriented energy assessment system is designed and developed to assist managers in clarifying the energy consumption of machining in this paper. Firstly, the operational requirements of the serviced-oriented energy assessment system are analyzed from the perspective of enterprises. Then, based on the establishment of system architecture, three key technologies, namely data integration, process integration, and energy evaluation, are studied in this paper. In this section, the energy characteristics of machine tools and the energy relationships are studied through the working states of machine tools, machining features of parts and process activities of processes, and the relational database, BPMN 2.0 specification, and machine learning approach are employed to implement the above function respectively. Finally, a case study of machine tool center stand base machining in a manufacturing enterprise was applied to verify the effectiveness and practicality of the proposed approach and system.

show abstract

A Suite of Modelling Tools for Developing Cyber-Physical Systems and Digital Twins Implementations

Chiș,

Ghiran

2022

Proceedings of the 30th International Conference on Information Systems Development

View full text Add to dashboard Cite

BPMN Extension for Multi-Protocol DataOrchestration

Cited by 3 publications

References 16 publications

TM4BPPMN: Recasting BPMN to Low-Level of Abstraction

TM4BPPMN: Recasting BPMN to Low-Level of Abstraction

A service-oriented energy assessment system based on BPMN and machine learning

A Suite of Modelling Tools for Developing Cyber-Physical Systems and Digital Twins Implementations

Contact Info

Product

Resources

About