| 1. |
- Gürdür Broo, Didem, 1983-, et al.
(författare)
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Re-imagining intelligent machines in an anthropocentric-ecocentric continuum : The case for ecocentric intelligent machines
- 2024
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Ingår i: Journal of Industrial Information Integration. - : Elsevier. - 2467-964X .- 2452-414X. ; 41
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Tidskriftsartikel (refereegranskat)abstract
- The history of machines traces back to the dawn of human civilization, reflecting the intertwined journey of exploration, invention, and discoveries. From ancient simple machines to remarkable innovations like the Antikythera mechanism and automatons, the evolution of machines has been a testament to human ingenuity. In the 21st century, a new era of machines emerges, characterized by intelligence, connectivity, and autonomy. The purpose of the article is two -fold. Firstly, it provides a historical view of the evolution of machines and aims to characterize their future functional attributes in a rapidly changing, technology -driven 21st -century society. Secondly, it discusses the need to prioritize the eco-centered and sustainable design of these systems as opposed to traditional performance -centered practices. To this end, the article starts by presenting a literature review on the evolution and the characteristics of future intelligent machines. We argue that there is a need to reconsider the purpose of the future intelligent machines in the anthropocentrism -ecocentrism continuum. To support this argument, the current approaches to designing these systems and the sustainability concerns related to future characteristics of them are discussed. The article concludes with remarks on different strategies aiming to provide a roadmap to aid the creators of the future connected, intelligent, and autonomous systems to maximize their positive impact and ensure continuous growth of technological development while protecting the environment and addressing societal needs.
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| 2. |
- Gürdür, Didem, 1983-, et al.
(författare)
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A Systematic Review to Merge Discourses : Interoperability, Integration and Cyber-Physical Systems
- 2017
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Ingår i: Journal of Industrial Information Integration. - : Elsevier. - 2467-964X .- 2452-414X.
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Tidskriftsartikel (refereegranskat)abstract
- Cyber-physical systems (CPS) are developed through the cooperation of several engineering disciplines. Powerful software tools are utilized by each individual discipline, but it remains challenging to connect these into tool chains for increased efficiency. To support this endeavour, the literature on interoperability assessment was surveyed to identify concepts valuable to transfer from the interoperability to the tool integration research field.Implementation options, types of interoperability and domains described in interoperability assessment models were concepts identified as directly transferable. To avoid the problems with uptake that plague the models identified, visual analytics is suggested as a vehicle for the transfer. Furthermore, based on the use of non-functional properties as an underlying motivation for these models, cost, performance and sustainability are suggested as a common base for future research in both discourses.
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| 3. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Assessing tool chain interoperability in cyber-physical systems : A systematic review
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Cyber-physical systems (CPS) are developed using artefacts from several engineering disciplines. Powerful software tools are utilized by each individual discipline, but it remains challenging to connect these into tool chains for increased efficiency. To support this endeavour, a survey of the literature on interoperability assessment was performed to identify concepts that could be valuable to transfer to the tool integration field.Interoperability assessment models were identified as potentially valuable to transfer, but lacking in industrial uptake. To avoid importing inefficient concepts, this lack of impact was analysed. Three main problems were identified as; the models either use complex metrics, separate levels or combinations of these; they concentrate on selective aspects of interoperability; and they focus on structure and content, providing little guidance on how to deal with problems. Visualization and visual analytics is discussed as a promising direction to be used during assessment of tool integration. Based on this approach it is suggested that the following concepts are transferred: the elaborated parts of system contexts; types of interoperability; and the theory connected to interoperability as a balance between interests rather than an optimization of a single, uniform metric. It is also suggested that interoperability researchers consider visualization and visual analytics techniques in their own contexts.
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| 4. |
- Gürdür, Didem, 1983-
(författare)
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Data and Visual Analytics for Cyber-physical Systems : Current Situation and Strategies for Action
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Today, cyber-physical systems (CPS) exist everywhere in different sizes, with different functionalities and capabilities. CPS often support critical missions that have significant economic and societal importance. They require software systems, communications technologies, sensors/actuators, embedded technologies, and physical systems to work together seamlessly, and they are seen as a driving force behind digital transformation. This dissertation describes the research work carried out to investigate applicability of data and visual analytics for CPS to overcome three main challenges: interoperability, complexity, and sustainability.To this end, several case studies are used to effectively implement and test different data and visual analytics solutions to aid stakeholders when they make decisions on interoperability, complexity, and sustainability for CPS. These studies raised questions about issues found to be of importance for the success of data and visual analytics approaches, including accessibility, availability, quality, volume, and variety of data—issues. Moreover, additional studies are used to show the benefits of blending different approaches, such as systems thinking and design thinking, and the current data analytics readiness of the Swedish industry is assessed through a questionnaire completed by more than a hundred respondents. The data and visual analytics are positioned between digitalization and machine intelligence as a research focus. Data and visual analytics is the next step after digitalizing the information by adding analytical capabilities to the data. It is also an important phase before developing machine intelligence applications. Earlier studies clearly show that only a fraction of companies have machine intelligence applications across the enterprise. One important reason behind this is the lack of strong digital capabilities that big data and advanced data analytics technologies could bring. The findings of the work carried out as part of this thesis show the importance of this middle phase—data and visual analytics—for the success of not only the CPS but also these two concepts—digitalization and machine intelligence.This thesis concludes by highlighting that currentdata and visual analytics approaches in CPS are closely dependent onthe availability, accessibility, quality, volume, and variety of the data. Notably, the huge amount of industrial data that exists in CPS manufacturers data repositories does not always mean that this data is useful, especially for analytical purposes. To this end, firstly, the CPS industry should concentrate its efforts to collect useful data that will benefit the industry by providing analytical insight intothe environments where CPS is produced and operated. Secondly, the industry should make necessary organizational changes such as considering to employ data scientists, analysts, and business intelligence developers and make data accessible tothese people for further usage. Thirdly, the data management procedures and data analytics roadmaps of companies should be created and shared with other employees, and necessary mechanisms needto be considered to improve and guarantee the quality of the data. Lastly, the variety of data needs to be addressed by the industry. Data and visual analytics provides an opportunity to extract patterns; to evaluate the interoperability, complexity, and sustainability; to create an overview of the current challenge by providing different viewpoints adapted to different stakeholders, focusing on key concerns for the respective stakeholder; to optimize performance, automation, and cooperation of distributed CPS, development environment, and teams; and overall, to improve any of the challenges that are mentioned above by, basically, providing a better understanding.To this end, I suggest that the industry discuss the next step after digitalization and address the challenges related to the availability, accessibility, quality, volume, and variety of data by considering user-centric approaches and organizational needs of the future development and manufacturing environments. The CPS industry should plan and act on these challenges as part of its data analytics strategies to expedite the machine intelligence applications of the future.
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| 5. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Data Visualization of A Cyber-Physical Systems Development Toolchain : An Integration Case Study
- 2017
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Ingår i: ALLDATA 2017. - Venice, Italy : IARIA XPS Press. - 9781612085524
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 6. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Data Visualization Support for Complex Logistics Operations and Cyber-physical Systems
- 2018
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 7. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Digitalizing Swedish industry : What is next?: Data analytics readiness assessment of Swedish industry, according to survey results
- 2019
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Ingår i: Computers in industry (Print). - : Elsevier B.V.. - 0166-3615 .- 1872-6194. ; 105, s. 153-163
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 8. |
- Gürdür, Didem, 1983-, et al.
(författare)
-
Digitalizing Swedish Industry: What is Next? : Data Analytics Readiness Assessment of Swedish Industry According to Survey Results
-
Ingår i: Computers in industry (Print). - 0166-3615 .- 1872-6194.
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Tidskriftsartikel (refereegranskat)abstract
- Digitalizationrefers 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 technological readiness score. This suggests that the necessary data, tools, and skills 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 strategic readiness level is high, except in the telecommunication domain. However, the operational readiness level is between medium and low, which shows that the business impacts of data analytics are not in place. These findings suggest that the industry should use the advantages of the current cultural readiness and concentrate efforts on exploring the business impacts of data analytics, ensuring the support from executive managers, and implementing data analytics protocols to improve strategic and technological readiness. Moreover, proper planning, timing, budgeting, and setting of clear key performance indicators/metrics need to be considered systematically in order to ameliorate the operational readiness of data analytics.
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| 9. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Interoperable Toolchains in Cyber-physical Systems with a Sustainability Perspective
- 2018
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Ingår i: 2017 IEEE Conference on Technologies for Sustainability, SusTech 2017. - Phoenix, AZ, USA : Institute of Electrical and Electronics Engineers (IEEE). - 9781538604519
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Konferensbidrag (refereegranskat)abstract
- The development of cyber-physical systems (CPS) requires various engineering disciplines, artifacts, and areas of expertise to collaborate. Powerful software tools are used during this development process, but while successful in one individual discipline, it is often challenging to integrate with other tools. Several studies have been done on integration solutions for these toolchains. However, the possibility of including the sustainability concept to the interoperability strategies is rarely studied. This paper discusses an approach to include sustainability aspects while improving the interoperability of toolchains in CPS manufacturing. To this end, an automobile manufacturing process has been studied as a use case, and relevant sustainability metrics for each stage of the process are identified. Life cycle sustainability assessment methodology is used to identify the sustainability metrics, and the use case is employed to exemplify how some of these metrics can be integrated with interoperable toolchains to illustrate the applicability of the approach.
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| 10. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Knowledge Representation of Cyber-physical Systems for Monitoring Purpose
- 2018
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Ingår i: 51st CIRP Conference on Manufacturing Systems. - : Elsevier. ; , s. 468-473
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Konferensbidrag (refereegranskat)abstract
- 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).
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