DAI-DSS FAIRWork Knowledge Base at Use Case Site – D5.1
Aleassandro Cisi, Roland Sitar, Marlene Mayr, Magdelena Dienstl, Rishyank Chevuri
This document is Deliverable D5.1, which focuses on the FAIRWork Knowledge Base at the Use Case Site. The deliverable encompasses the results of Task T5.1 “Modelling FAIRWork for Production Processes” and Task T5.2 “Creating FAIRWork Knowledge Base”. The document needs to be seen in the context of the FAIRWork objective to provide a decision support system that (a) integrates digital twins to optimize the overall production process according to multiple parameters, and (b) democratizes decision making granting human worker and machines a say during decision making. The project combines (a) model-based approaches to transparently design, simulate and improve decision making, (b) a co-creation laboratory using models and physical experiments as communication media to all actors and, (c) reliability indication of data and AI algorithms.
This deliverable serves as a public demonstration of the project's progress. It provides a concise overview of the work completed in Task T5.1, which involved creating decision process models for two Use Case providers, FLEX and CRF. These models cover various use case categories such as "Automated Test Building," "Worker Allocation," "Machine Maintenance After Breakdown," "Workload Balance," "Delay of Material," and "Quality Issues." These models incorporate details about the production environment, decision-making processes, and involved actors. In this deliverable, Chapter 2 corresponds to the Task 5.1 and provides a comprehensive overview of the methodology employed for decision process modeling in the FAIRWork project, as well as the tools utilized to implement these models. Additionally, there is information provided on how to access these models for demonstration purposes. Section 2.1 delves into the methodology of decision process modeling within the specific context of the FAIRWork project. It outlines the steps and approaches taken to develop effective decision models that can enhance decision-making processes. This section provides insights into the iterative nature of the modeling process, emphasizing the need for clear understanding of a problem, identification of concrete decisions, and relevant decision parameters and aspects.
Section 2.2 focuses on the tools utilized to implement the decision process models in the FAIRWork project. It discusses the technological infrastructure leveraged to create these models effectively. The section highlights the utilization of modeling techniques, such as BPMN 2.0, to ensure consistency and compatibility across different decision trees and scenarios. Furthermore, Section 2.3 and 2.4 provide an overview of the decision process models developed specifically for the end users of the FAIRWork project, FLEX and CRF. These sections also present the relevant data inputs to facilitate decision-making.
Concurrently, task T5.2 focused on collecting and storing the data and decision models required for each Use Case scenario to establish a common Knowledge Base. The Knowledge Base is built on internationally available open standards, with the ISO 10303 (STEP) standard for data exchange serving as the foundation for the developed repositories. The Knowledge Base provides REST APIs that enable data access and exchange. Furthermore, the deliverable includes the demonstration of the Knowledge Base through figures presented in chapter 3, showcasing the preliminary project setup, and data accessing methods using REST API and also providing information on the demonstrator videos that are made to show the data accessing and sharing capabilities of the Knowledge Base.
The contents of this deliverable will contribute to "D5.2 DAI-DSS Infrastructure and Setup Report at Use Case Site" and "D5.3 Demonstration Report of FAIRWork with DAI-DSS", scheduled for M20 and M36, respectively. These subsequent deliverables will further adapt the Knowledge Base to suit the specific needs of the use cases.
This deliverable serves as a public demonstration of the project's progress. It provides a concise overview of the work completed in Task T5.1, which involved creating decision process models for two Use Case providers, FLEX and CRF. These models cover various use case categories such as "Automated Test Building," "Worker Allocation," "Machine Maintenance After Breakdown," "Workload Balance," "Delay of Material," and "Quality Issues." These models incorporate details about the production environment, decision-making processes, and involved actors. In this deliverable, Chapter 2 corresponds to the Task 5.1 and provides a comprehensive overview of the methodology employed for decision process modeling in the FAIRWork project, as well as the tools utilized to implement these models. Additionally, there is information provided on how to access these models for demonstration purposes. Section 2.1 delves into the methodology of decision process modeling within the specific context of the FAIRWork project. It outlines the steps and approaches taken to develop effective decision models that can enhance decision-making processes. This section provides insights into the iterative nature of the modeling process, emphasizing the need for clear understanding of a problem, identification of concrete decisions, and relevant decision parameters and aspects.
Section 2.2 focuses on the tools utilized to implement the decision process models in the FAIRWork project. It discusses the technological infrastructure leveraged to create these models effectively. The section highlights the utilization of modeling techniques, such as BPMN 2.0, to ensure consistency and compatibility across different decision trees and scenarios. Furthermore, Section 2.3 and 2.4 provide an overview of the decision process models developed specifically for the end users of the FAIRWork project, FLEX and CRF. These sections also present the relevant data inputs to facilitate decision-making.
Concurrently, task T5.2 focused on collecting and storing the data and decision models required for each Use Case scenario to establish a common Knowledge Base. The Knowledge Base is built on internationally available open standards, with the ISO 10303 (STEP) standard for data exchange serving as the foundation for the developed repositories. The Knowledge Base provides REST APIs that enable data access and exchange. Furthermore, the deliverable includes the demonstration of the Knowledge Base through figures presented in chapter 3, showcasing the preliminary project setup, and data accessing methods using REST API and also providing information on the demonstrator videos that are made to show the data accessing and sharing capabilities of the Knowledge Base.
The contents of this deliverable will contribute to "D5.2 DAI-DSS Infrastructure and Setup Report at Use Case Site" and "D5.3 Demonstration Report of FAIRWork with DAI-DSS", scheduled for M20 and M36, respectively. These subsequent deliverables will further adapt the Knowledge Base to suit the specific needs of the use cases.
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@techreport{fairwork_d5.1,
title = {DAI-DSS FAIRWork Knowledge Base at Use Case Site - D5.1},
author = {Aleassandro Cisi, Roland Sitar, Marlene Mayr, Magdelena Dienstl, Rishyank Chevuri},
editor = {Rishyank Chevuri},
url = {https://fairwork-project.eu/deliverables/d5-1/D5.1_DAI-DSS%20FAIRWork%20knowledge%20base_v1.0-preliminary.pdf},
year = {2023},
date = {2023-06-30},
urldate = {2023-06-30},
abstract = {This document is Deliverable D5.1, which focuses on the FAIRWork Knowledge Base at the Use Case Site. The deliverable encompasses the results of Task T5.1 “Modelling FAIRWork for Production Processes” and Task T5.2 “Creating FAIRWork Knowledge Base”. The document needs to be seen in the context of the FAIRWork objective to provide a decision support system that (a) integrates digital twins to optimize the overall production process according to multiple parameters, and (b) democratizes decision making granting human worker and machines a say during decision making. The project combines (a) model-based approaches to transparently design, simulate and improve decision making, (b) a co-creation laboratory using models and physical experiments as communication media to all actors and, (c) reliability indication of data and AI algorithms.
This deliverable serves as a public demonstration of the project's progress. It provides a concise overview of the work completed in Task T5.1, which involved creating decision process models for two Use Case providers, FLEX and CRF. These models cover various use case categories such as "Automated Test Building," "Worker Allocation," "Machine Maintenance After Breakdown," "Workload Balance," "Delay of Material," and "Quality Issues." These models incorporate details about the production environment, decision-making processes, and involved actors. In this deliverable, Chapter 2 corresponds to the Task 5.1 and provides a comprehensive overview of the methodology employed for decision process modeling in the FAIRWork project, as well as the tools utilized to implement these models. Additionally, there is information provided on how to access these models for demonstration purposes. Section 2.1 delves into the methodology of decision process modeling within the specific context of the FAIRWork project. It outlines the steps and approaches taken to develop effective decision models that can enhance decision-making processes. This section provides insights into the iterative nature of the modeling process, emphasizing the need for clear understanding of a problem, identification of concrete decisions, and relevant decision parameters and aspects.
Section 2.2 focuses on the tools utilized to implement the decision process models in the FAIRWork project. It discusses the technological infrastructure leveraged to create these models effectively. The section highlights the utilization of modeling techniques, such as BPMN 2.0, to ensure consistency and compatibility across different decision trees and scenarios. Furthermore, Section 2.3 and 2.4 provide an overview of the decision process models developed specifically for the end users of the FAIRWork project, FLEX and CRF. These sections also present the relevant data inputs to facilitate decision-making.
Concurrently, task T5.2 focused on collecting and storing the data and decision models required for each Use Case scenario to establish a common Knowledge Base. The Knowledge Base is built on internationally available open standards, with the ISO 10303 (STEP) standard for data exchange serving as the foundation for the developed repositories. The Knowledge Base provides REST APIs that enable data access and exchange. Furthermore, the deliverable includes the demonstration of the Knowledge Base through figures presented in chapter 3, showcasing the preliminary project setup, and data accessing methods using REST API and also providing information on the demonstrator videos that are made to show the data accessing and sharing capabilities of the Knowledge Base.
The contents of this deliverable will contribute to "D5.2 DAI-DSS Infrastructure and Setup Report at Use Case Site" and "D5.3 Demonstration Report of FAIRWork with DAI-DSS", scheduled for M20 and M36, respectively. These subsequent deliverables will further adapt the Knowledge Base to suit the specific needs of the use cases.},
howpublished = {https://fairwork-project.eu/deliverables/d5-1/D5.1_DAI-DSS%20FAIRWork%20knowledge%20base_v1.0-preliminary.pdf},
keywords = {deliverable},
pubstate = {published},
tppubtype = {techreport}
}