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Publications (10 of 42) Show all publications
Gürdür, D., El-khoury, J. & Törngren, M. (2019). Digitalizing Swedish industry: What is next?: Data analytics readiness assessment of Swedish industry, according to survey results. Computers in industry (Print), 105, 153-163
Open this publication in new window or tab >>Digitalizing Swedish industry: What is next?: Data analytics readiness assessment of Swedish industry, according to survey results
2019 (English)In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 105, p. 153-163Article in journal (Refereed) Published
Abstract [en]

Digitalization refers to enabling, improving, and transforming operations, functions, models, processes, or activities by leveraging digital technologies. Furthermore, digitalization is considered one of the most powerful drivers of innovation with the potential to trigger the next wave of innovation. Today, the importance of digitalization is well-understood in Swedish government agencies and industry. Although there are several initiatives working to actively drive change, one question is key: What is the next step? Data analytics is a promising way to turn information into outcomes, enhance decision-making, make data-driven discoveries, minimize risk, and unearth valuable insights that would otherwise remain hidden. This paper presents survey results on data analytics adoption and usage within Swedish industry, to highlight post-digitalization industry needs. To this end, a questionnaire was designed and distributed. Answers from more than 100 respondents from the manufacturing, technology, engineering, telecommunications, and automotive industries in Sweden were collected and analyzed. The assessment results show that Swedish industry has a high resources readiness score. This suggests that the necessary tools, and human resources are in place. Moreover, its cultural readiness level, which focuses on the acceptance of data-driven decision-making, scores between high and very high. At the same time, the information systems readiness level is in between medium and high, except in the telecommunication domain. However, the organizational readiness level is between medium and low, which shows that the organizations are not structured to enable the adaptation of data analytics and the business impacts of data analytics are not in place yet. These findings suggest that the industry should use the advantages of the current cultural, information systems, and resources readiness capabilities and concentrate efforts on exploring the business impacts of data analytics, ensuring the support from executive managers, and implementing data analytics protocols to improve organizational readiness. Moreover, the industry should consider structural changes in organizations, in addition to systematically initiating proper planning, timing, budgeting, and setting of clear key performance indicators/metrics in order to ameliorate the organizational readiness of data analytics.

Place, publisher, year, edition, pages
Elsevier B.V., 2019
Keywords
Data analytics, Data analytics readiness, Digitalization, Survey, Swedish industry, Automotive industry, Benchmarking, Budget control, Decision making, Information systems, Information use, Surveying, Surveys, Data driven decision, Digital technologies, Key performance indicators, Organizational readiness, Readiness assessment, Swedishs, Digital storage
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-248227 (URN)10.1016/j.compind.2018.12.011 (DOI)000463848400011 ()2-s2.0-85058676734 (Scopus ID)
Note

QC 20190412

Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-05-09Bibliographically approved
Berezovskyi, A., El-khoury, J. & Fersman, E. (2019). Linked Data Architecture for Plan Execution in Distributed CPS. In: : . Paper presented at 2019 IEEE International Conference on Industrial Technology (ICIT).
Open this publication in new window or tab >>Linked Data Architecture for Plan Execution in Distributed CPS
2019 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Future cyber-physical systems (CPS) require their components to perform autonomously. To do that safely and efficiently, CPS components will need access to the global state of the whole CPS. These components will require near real-time updates to a subset of the global state to react to changes in the environment. A particular challenge is to monitor state updates from the distributed CPS components: one needs to ensure that only states consistent with the PDDL plan execution semantics can be observed within the system. In order to guarantee that, a component to monitor plan execution is proposed. Microservices based on Linked Data technologies are used to provide a uniform way to access component states, represented as Resource Description Framework (RDF) resources. To ensure the correct ordering of state updates, we present an extension of the OASIS OSLC TRS protocol. Specifically, we strengthen the ordering guarantees of state change events and introduce inlining of the state with the events to prevent state mismatch at the dereferencing stage.

National Category
Computer Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-250389 (URN)
Conference
2019 IEEE International Conference on Industrial Technology (ICIT)
Note

QC 20190430

Available from: 2019-04-29 Created: 2019-04-29 Last updated: 2019-04-30Bibliographically approved
Gürdür, D., Raizer, K. & El-khoury, J. (2018). Data Visualization Support for Complex Logistics Operations and Cyber-physical Systems. In: : . Paper presented at 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Open this publication in new window or tab >>Data Visualization Support for Complex Logistics Operations and Cyber-physical Systems
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Today, complex logistics operations include different levels of communication and interactions. This paper explores the requirements of these operations and conceptualizes important key performance indicators, stakeholders, and different data visualizations to support the stakeholders in order to understand interactions between entities easier and faster. Three different levels were identified-supply chain, automated warehouse, and intelligent agent-to define the complex logistics operations. For each level, important stakeholders and performance indicators were determined. A case study was designed and described to exemplify the role of cyber-physical systems in complex logistics operations. Moreover, different data visualizations were developed as part of a dashboard to illustrate key performance indicators of different levels for the purpose of supporting stakeholders. This exploratory study concludes by identifying important data necessary for each performance indicator, suggesting ways to collect these data, and exemplifying how data visualization approach can be used through a dashboard design.

Keywords
Data Visualization, Information Visualization, Supply Chain, Automated Warehouse, Intelligent Agent, Cyber-Physical Systems, Dashboard Design, Soar
National Category
Engineering and Technology Embedded Systems
Research subject
Machine Design
Identifiers
urn:nbn:se:kth:diva-222144 (URN)
Conference
14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Projects
SCOTT - Secure Connected Trustable Things
Note

QC 20180327

Available from: 2018-02-01 Created: 2018-02-01 Last updated: 2019-01-11Bibliographically approved
Gürdür, D., Vulgarakis Feljan, A., El-khoury, J., Mohalik, S. K., Badrinath, R., Mujumdar, A. P. & Fersman, E. (2018). Knowledge Representation of Cyber-physical Systems for Monitoring Purpose. In: 51st CIRP Conference on Manufacturing Systems: . Paper presented at 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm Waterfront Congress Centre, Stockholm, Sweden, 16 May 2018 through 18 May 2018 (pp. 468-473). Elsevier, 72
Open this publication in new window or tab >>Knowledge Representation of Cyber-physical Systems for Monitoring Purpose
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2018 (English)In: 51st CIRP Conference on Manufacturing Systems, Elsevier, 2018, Vol. 72, p. 468-473Conference paper, Published paper (Refereed)
Abstract [en]

Automated warehouses, as a form of cyber-physical systems (CPSs), require several components to work collaboratively to address the common business objectives of complex logistics systems. During the collaborative operations, a number of key performance indicators (KPI) can be monitored to understand the proficiency of the warehouse and control the operations and decisions. It is possible to drive and monitor these KPIs by looking at both the state of the warehouse components and the operations carried out by them. Therefore, it is necessary to represent this knowledge in an explicit and formally-specified data model and provide automated methods to derive the KPIs from the representation. In this paper, we implement a minimalistic data model for a subset of warehouse resources using linked data in order to monitor a few KPIs, namely sustainability, safety and performance. The applicability of the approach and the data model is illustrated through a use case. We demonstrate that it is possible to develop minimalistic data models through Open Services for Lifecycle Collaboration (OSLC) resource shapes which enables compatibility with the declarative and procedural knowledge of automated warehouse agents specified in Planning Domain Definition Language (PDDL).

Place, publisher, year, edition, pages
Elsevier, 2018
Series
Procedia CIRP, ISSN 2212-8271 ; 72
National Category
Production Engineering, Human Work Science and Ergonomics Manufacturing, Surface and Joining Technology Computer and Information Sciences Robotics
Research subject
Computer Science
Identifiers
urn:nbn:se:kth:diva-228233 (URN)10.1016/j.procir.2018.03.018 (DOI)2-s2.0-85049594479 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm Waterfront Congress Centre, Stockholm, Sweden, 16 May 2018 through 18 May 2018
Projects
SCOTT
Note

QC 20180530

Available from: 2018-05-21 Created: 2018-05-21 Last updated: 2019-01-11Bibliographically approved
Gürdür, D., El-khoury, J. & Nyberg, M. (2018). Methodology for Linked Enterprise Data Quality Assessment Through Information Visualizations. Journal of Industrial Information Integration
Open this publication in new window or tab >>Methodology for Linked Enterprise Data Quality Assessment Through Information Visualizations
2018 (English)In: Journal of Industrial Information Integration, ISSN 2452-414XArticle in journal (Refereed) Published
Abstract [en]

Today’s development environments in the manufacturing industry require different development tools to work together. These complex environments are highly heterogeneous and constantly changing, and the development tools are producing a huge amount of data. As a result, these development environments must overcome a significant problem related to data integration. In this paper, we examine a case study from the automotive industry using the linked enterprise data approach to integrate data from different development tools. The study explains and applies a data quality assessment methodology as a post-integration phase for linked enterprise data. 

In this study, important data quality dimensions from the literature are merged with empirical rules that have been defined by Scania CV AB employees. As a result, a comprehensive methodology is developed and introduced to assess these data quality dimensions. This paper presents the methodology, which aims to develop a data quality assessment tool—a dashboard—in addition to policies and protocols to manage data quality. Moreover, the proposed methodology includes systematic guidelines for planning the data quality assessment activity, extracting requirements for the data quality management, setting priorities to expedite the adaptation, identifying dimensions and metrics to ease the understanding, and visualizing these dimensions and metrics to assess the overall data quality.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
data quality, linked data, quality assessment, linked enterprise data, information visualization, methodology
National Category
Computer and Information Sciences Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:kth:diva-232357 (URN)10.1016/j.jii.2018.11.002 (DOI)
Note

QC 20180822

Available from: 2018-07-20 Created: 2018-07-20 Last updated: 2019-01-11Bibliographically approved
Gürdür, D., El-khoury, J., Seceleanu, T., Johansson, M. & Hansen, S. (2017). Data Visualization of A Cyber-Physical Systems Development Toolchain: An Integration Case Study. In: ALLDATA 2017: The Third International Conference on Big Data, Small Data, Linked Data and Open Data. Paper presented at ALLDATA 2017. Venice, Italy: IARIA XPS Press
Open this publication in new window or tab >>Data Visualization of A Cyber-Physical Systems Development Toolchain: An Integration Case Study
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2017 (English)In: ALLDATA 2017: The Third International Conference on Big Data, Small Data, Linked Data and Open Data, Venice, Italy: IARIA XPS Press , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Development of Cyber-Physical Systems (CPS) requires various engineering disciplines, artifacts, and areas of expertise to collaborate. There are powerful software tools, which are used during CPS development, but it is often challenging to integrate these tools with each other. This paper proposes a data visualization approach to understanding current interoperability status and the integration needs in CPS development toolchains, and make decisions on potential integration scenarios accordingly. To this end, a case study is introduced based on a toolchain for the development of an embedded application at ABB Corporate Research. The node-link diagram (NLD) data visualization technique was used to understand integration needs and priorities. The study showed that the NLD visualization has the potential to inform toolchain architects about the interoperability situation and help them to make decisions accordingly, especially for small toolchains. Moreover, the integration solution is implemented and the result has been compared with the non-integration study.

Place, publisher, year, edition, pages
Venice, Italy: IARIA XPS Press, 2017
National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-208379 (URN)978-1-61208-552-4 (ISBN)
Conference
ALLDATA 2017
Note

QC 20170626

Available from: 2017-06-05 Created: 2017-06-05 Last updated: 2017-06-26Bibliographically approved
Berezovskyi, A., El-khoury, J., Kacimi, O. & Loiret, F. (2017). Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing. In: : . Paper presented at The 7th International Conference on the Internet of Things (IoT 2017). LInz, Austria
Open this publication in new window or tab >>Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

  The development of increasingly complex IoT systems requires large engineering environments. These environments generally consist of tools from different vendors and are not necessarily integrated well with each other. In order to automate various analyses, queries across resources from multiple tools have to be executed in parallel to the engineering activities. In this paper, we identify the necessary requirements on such a query capability and evaluate different architectures according to these requirements. We propose an improved lifecycle query architecture, which builds upon the existing Tracked Resource Set (TRS) protocol, and complements it with the MQTT messaging protocol in order to allow the data in the warehouse to be kept updated in real-time. As part of the case study focusing on the development of an IoT automated warehouse, this architecture was implemented for a toolchain integrated using RESTful microservices and linked data. 

Place, publisher, year, edition, pages
LInz, Austria: , 2017
National Category
Computer Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-250330 (URN)
Conference
The 7th International Conference on the Internet of Things (IoT 2017)
Note

QC 20190430

Available from: 2019-04-29 Created: 2019-04-29 Last updated: 2019-04-30Bibliographically approved
Gürdür, D. & El-khoury, J. (2016). Making Interoperability Visible: Data Visualization of Cyber-Physical Systems Development Tool Chains. Journal of Industrial Information Integration, 4, 26-34
Open this publication in new window or tab >>Making Interoperability Visible: Data Visualization of Cyber-Physical Systems Development Tool Chains
2016 (English)In: Journal of Industrial Information Integration, ISSN 2452-414X, Vol. 4, p. 26-34Article in journal (Refereed) Published
Abstract [en]

Cyber-physical system (CPS) development cycles include various engineering disciplines, artefacts, and areas of expertise. There are powerful software tools used in these cycles, which can be put to good use by one individual discipline but are challenging to integrate with other tools. This paper discusses a node-link diagram (NLD) visualization technique that can be used to visualize interoperability in CPS development tool chains. The purpose is to help tool chain developers assess the current interoperability status and make decisions on integration scenarios accordingly. To this end, a case study is introduced and explained as an example. Data about the tool chain, which contains different structures relating to the software tools usage and the interactions between them, are provided by ABB Corporate Research Centre. These structures are used in creation of visualizations for making interoperability visible in CPS development tool chains and applicability of each visualization technique is discussed with the interoperability perspective. In this study, we also exercised a clustering algorithm for an extended case study and discussed the use of visualizations to improve interoperability in CPS development environments.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Cyber-physical system interoperability; Interoperability visualization; Development tool chains; Data visualization; Node-link diagram
National Category
Computer Systems
Research subject
Information and Communication Technology; Machine Design; Computer Science
Identifiers
urn:nbn:se:kth:diva-196530 (URN)10.1016/j.jii.2016.09.002 (DOI)
Note

QC 20161206

Available from: 2016-11-15 Created: 2016-11-15 Last updated: 2019-01-11Bibliographically approved
El-Khoury, J., Gürdür, D., Loiret, F., Törngren, M., Zhang, D. & Nyberg, M. (2016). Modelling Support for a Linked Data Approach to Tool Interoperability. In: The Second International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA, Lisbon, February 21 - 25, 2016.: . Paper presented at ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016) (pp. 42-47).
Open this publication in new window or tab >>Modelling Support for a Linked Data Approach to Tool Interoperability
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2016 (English)In: The Second International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA, Lisbon, February 21 - 25, 2016., 2016, p. 42-47Conference paper, Published paper (Refereed)
Abstract [en]

Linked Data is increasingly being adopted for the integration of software tools, especially with the emergence of the Open Services for Lifecycle Collaboration (OSLC) standard on tool interoperability. In this paper, we present a modelling approach – with accompanying tool support – for the specification of Linked Data resources, focusing on the particular needs of tool-chain development. The approach provides graphical models for the specification of constraints on resources being shared in the tool-chain. Moreover, it aims to maintain a centralized understanding and management of the overall information model being handled in the federated tool-chain architecture. This is achieved through an integrated set of modelling views that cover the early phases of tool-chain development.

Keywords
Linked data modelling, OSLC, resource shapes, tool integration, information modelling
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-184090 (URN)978-1-61208-457-2 (ISBN)
Conference
ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016)
Note

QC 20160405

Available from: 2016-03-23 Created: 2016-03-23 Last updated: 2016-10-25Bibliographically approved
Gürdür, D., Asplund, F., El-khoury, J., Loiret, F. & Törngren, M. (2016). Visual Analytics Towards Tool Interoperabilty: A Position Paper. In: Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: . Paper presented at 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 141-147). SCITEPRESS
Open this publication in new window or tab >>Visual Analytics Towards Tool Interoperabilty: A Position Paper
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2016 (English)In: Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SCITEPRESS , 2016, p. 141-147Conference paper, Published paper (Refereed)
Abstract [en]

Complex-engineering projects include artefacts from several engineering disciplines such as mechanical, electrical, software components, processes and plans. While software tools can be powerful in each individual discipline, it is difficult to build integrated tool chains. Moreover, it is challenging to evaluate and update existing tool chains. At the same time, the field of visualization is getting mature and visual analytics promises an opportunity to develop knowledge, methods, technologies and practice for exploiting and combining the strengths of human and data. We consider this as a potential to evaluate current tool chains. This position paper discusses the visualization and visual analytics practices to assess existing tool chains performance.

Place, publisher, year, edition, pages
SCITEPRESS, 2016
Keywords
Tool Chain Visualization, Interoperability, Visual Analytics, Data Visualization.
National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-185908 (URN)10.5220/0005751401390145 (DOI)978-989-758-175-5 (ISBN)
Conference
11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Note

QC 20160510

Available from: 2016-04-28 Created: 2016-04-28 Last updated: 2017-02-02Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0889-5190

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