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Kans, Mirka
Publications (10 of 64) Show all publications
Kans, M. (2018). IT governance from the operational perspective: a study of IT governance strategies applied within maintenance management. International Journal of Services Technology and Management, 24(1-3), 263-288
Open this publication in new window or tab >>IT governance from the operational perspective: a study of IT governance strategies applied within maintenance management
2018 (English)In: International Journal of Services Technology and Management, ISSN 1460-6720, E-ISSN 1741-525X, Vol. 24, no 1-3, p. 263-288Article in journal (Refereed) Published
Abstract [en]

This paper investigates the existence and effects of different ITgovernance strategies on the operative level of manufacturing industries. Thestudy is based on a mixed research method including statistical analysisof questionnaire data and a qualitative analysis of interview material. Theoperational business unit that is being studied is maintenance and itsmanagement. Several types of IT governance strategies existed within thisbusiness unit according to the study, and the decentralised was the mostcommon. The different strategies had both a positive and negative impact onthe business unit, but the federal IT governance strategy seems to overcomesome of the problems in the others. The results indicate that there might beother characteristics worth testing than the ones used in this study, for instancethe size of the business unit.

Place, publisher, year, edition, pages
InderScience Publishers, 2018
Keywords
IT governance strategies; centralised strategy; decentralised strategy; federal strategy; mixed study research; non-parametric test; cluster analysis; story-telling
National Category
Information Systems, Social aspects Business Administration
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-71129 (URN)10.1504/IJSTM.2018.10011465 (DOI)
Available from: 2018-02-28 Created: 2018-02-28 Last updated: 2018-03-15Bibliographically approved
Metso, L. & Kans, M. (2017). An ecosystem perspective on asset management information. In: Diego Galar, Dammika Seneviratne (Ed.), MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings: . Paper presented at 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden (pp. 69-75). Luleå: Luleå University of Technology
Open this publication in new window or tab >>An ecosystem perspective on asset management information
2017 (English)In: MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings / [ed] Diego Galar, Dammika Seneviratne, Luleå: Luleå University of Technology, 2017, p. 69-75Conference paper, Published paper (Refereed)
Abstract [en]

Big Data and Internet of Things will increase the amount of data on asset management exceedingly. Data sharing with an increased number of partners in the area of asset management is important when developing business opportunities and new ecosystems. An asset management ecosystem is a complex set of relationships between parties taking part in asset management actions. In this paper, the current barriers and benefits of data sharing are identified based on the results of an interview study. The main benefits are transparency, access to data and reuse of data. New services can be created by taking advantage of data sharing. The main barriers to sharing data are an unclear view of the data sharing process and difficulties to recognize the benefits of data sharing. For overcoming the barriers in data sharing, this paper applies the ecosystem perspective on asset management information. The approach is explained by using the Swedish railway industry as an example.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2017
Keywords
Open data, data sharing, information management, information model, business ecosystem, Asset as a Service
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-61489 (URN)978-91-7583-841-0 (ISBN)
Conference
6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden
Available from: 2017-03-21 Created: 2017-03-21 Last updated: 2017-03-21Bibliographically approved
Metso, L. & Kans, M. (2017). An Ecosystem Perspective on Asset Management Information. Management Systems in Production Engineering, 25(3), 150-157
Open this publication in new window or tab >>An Ecosystem Perspective on Asset Management Information
2017 (English)In: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, no 3, p. 150-157Article in journal (Refereed) Published
Abstract [en]

Big Data and Internet of Things will increase the amount of data on asset management exceedingly. Data sharing with an increased number of partners in the area of asset management is important when developing business opportunities and new ecosystems. An asset management ecosystem is a complex set of relationships between parties taking part in asset management actions. In this paper, the current barriers and benefits of data sharing are identified based on the results of an interview study. The main benefits are transparency, access to data and reuse of data. New services can be created by taking advantage of data sharing. The main barriers to sharing data are an unclear view of the data sharing process and difficulties to recognize the benefits of data sharing. For overcoming the barriers in data sharing, this paper applies the ecosystem perspective on asset management information. The approach is explained by using the Swedish railway industry as an example.

Place, publisher, year, edition, pages
De Gruyter Open, 2017
Keywords
Open data, data sharing, information management, information model, business ecosystem, Asset as a Service
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-67393 (URN)10.1515/mspe-2017-0022 (DOI)000408931800002 ()
Available from: 2017-08-24 Created: 2017-08-24 Last updated: 2018-04-04Bibliographically approved
Landscheidt, S., Kans, M. & Winroth, M. (2017). Differences on automation practices in wooden single-family houses manufacturing: Four case studies. In: Marcin Zbiec and Kazimierz Orlowski (Ed.), 23rd International Wood Machining Seminar Proceedings: . Paper presented at 23rd International Wood Machining Seminar, 28-31 May, 2017, Warsaw, Poland (pp. 350-359). Warsaw, Poland: Warsaw University of Life Sciences
Open this publication in new window or tab >>Differences on automation practices in wooden single-family houses manufacturing: Four case studies
2017 (English)In: 23rd International Wood Machining Seminar Proceedings / [ed] Marcin Zbiec and Kazimierz Orlowski, Warsaw, Poland: Warsaw University of Life Sciences , 2017, p. 350-359Conference paper, Published paper (Refereed)
Abstract [en]

In densely forested countries, forest and wood-based products are an important contributing factor to the country’s economy and also a valuable resource for house manufacturing. With rising demand for housing in Europe, wooden houses have become more of an alternative to concrete houses. Although wooden houses have always been popular in Nordic countries, higher demand puts more pressure on seemingly outdated production facilities and personnel in order to supply the market. Whereas many other industries strive to modern production concepts such as Industry 4.0 to adapt to new market conditions, industrial timber house building is still characterized by a high amount of manual labor.

In Europe´s highly industrialized countries, labor costs influence wooden house manufacturers rather negatively and exert great pressure on them to stay competitive. Some companies have chosen outsourcing of their operations and production as means to survive. Another way, already successfully proven in other industries, is the automation and digitalization of production processes. Effective implementation of automation equipment depends on several factors, e.g. production volume, applied material, chosen application or cycle times. It is not entirely clear which factors are contributing to the successful change to a more automated production.

Based on an Industry 4.0 readiness model, the purpose of this study is to seek out which dimensions correlate with each other in order to support improved production processes and efficiency for wooden single-house manufactures. 

By applying a comparative case study approach, automation standards and practices in Sweden, Germany and Austria, are described and compared. Results of this case study reveal that a production strategy together with sound digital support and information sharing leads to the best production systems for single-wooden houses manufacturers.

Place, publisher, year, edition, pages
Warsaw, Poland: Warsaw University of Life Sciences, 2017
Keywords
Automation, Industry 4.0, international practices, production system, wooden single-family house
National Category
Wood Science Production Engineering, Human Work Science and Ergonomics
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
urn:nbn:se:lnu:diva-67488 (URN)
Conference
23rd International Wood Machining Seminar, 28-31 May, 2017, Warsaw, Poland
Projects
ProWOOD
Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2018-05-17Bibliographically approved
Landscheidt, S., Kans, M. & Winroth, M. (2017). Opportunities for robotic automation in wood product industries: The supplier and system integrators' perspective. In: Pellicciari, M; Peruzzini, M (Ed.), 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017: . Paper presented at 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017,27-30 June 2017, Modena, Italy (pp. 233-240). Elsevier
Open this publication in new window or tab >>Opportunities for robotic automation in wood product industries: The supplier and system integrators' perspective
2017 (English)In: 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017 / [ed] Pellicciari, M; Peruzzini, M, Elsevier, 2017, p. 233-240Conference paper, Published paper (Refereed)
Abstract [en]

In this study, the opportunities for automation in the poorly automated wood product industry are highlighted. This isaccomplished by conducting a qualitative interview study of suppliers and system integrators for industrial robots active in thisparticular industry sector. Five case companies are chosen in order to explore the unique dimensions responsible for successfulautomation implantation in wood product companies. Results show that a low understanding of automation opportunities, unclearrequirements specifications, and small production volumes are the main problems for suitable automation solutions. Althoughwood is a fragile and changeable material, existing technology allows its manipulation with industrial robots.

Place, publisher, year, edition, pages
Elsevier, 2017
Series
Procedia Manufacturing, ISSN 2351-9789 ; 11
Keywords
Automation; industrial robot; supplier perspective; system integration; wood product industry
National Category
Other Mechanical Engineering Robotics
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
urn:nbn:se:lnu:diva-68477 (URN)10.1016/j.promfg.2017.07.231 (DOI)000419072100026 ()
Conference
27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017,27-30 June 2017, Modena, Italy
Funder
Knowledge Foundation, ProWOOD
Available from: 2017-10-27 Created: 2017-10-27 Last updated: 2018-03-09Bibliographically approved
Kans, M. & Galar, D. (2017). The Impact of Maintenance 4.0 and Big Data Analytics within Strategic Asset Management. In: Diego Galar, Dammika Seneviratne (Ed.), MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings: . Paper presented at 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden (pp. 96-103). Luleå: Luleå University of Technology
Open this publication in new window or tab >>The Impact of Maintenance 4.0 and Big Data Analytics within Strategic Asset Management
2017 (English)In: MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings / [ed] Diego Galar, Dammika Seneviratne, Luleå: Luleå University of Technology, 2017, p. 96-103Conference paper, Published paper (Refereed)
Abstract [en]

The latest industrial revolution is manifested by smart and networking equipment. Realizing the full value of these machineries, and other business assets, has become increasingly important. Strategic asset management faces managerial, technical as well as methodological challenges, of which some could be reduced or overcome by applying technological solutions such as Internet of things, cloud computing, cyber-physical systems and big data analytics. This paper outlines the impact of the emerging technologies in the area of strategic management with special emphasis on the analytics as service provider for the maintenance functions.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2017
Keywords
maintenance 4.0, big data, cyber -physical systems, cloud computing, strategic asset management, challenges in asset management
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-61491 (URN)978-91-7583-841-0 (ISBN)
Conference
6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden
Available from: 2017-03-21 Created: 2017-03-21 Last updated: 2018-05-16Bibliographically approved
Kans, M. & Ingwald, A. (2016). A framework for business model development for reaching service management 4.0. Journal of Maintenance Engineering, 1, 398-407
Open this publication in new window or tab >>A framework for business model development for reaching service management 4.0
2016 (English)In: Journal of Maintenance Engineering, Vol. 1, p. 398-407Article in journal (Refereed) Published
Abstract [en]

The shifting demands on product development and production processes have led to the emergency of new business models, such as integrated product-service offerings. Research shows that the combined business models have a positive effect on the business and as a consequence the importance of aftersales services has increased. But many companies have not yet understood the business opportunities that could be achieved by providing aftersales services. The view of operations and maintenance services has to change; the focus should be on the values created and not in the offers in form of products or services. The approach presented in this paper is an attempt to support this mental shift. A framework for business model development is presented and its applicability in the practical work for reaching new business models is demonstrated by an example. The framework describes business model development in four levels. From maturity point of view, the four steps could be seen as the logical development of the business model from a narrow technical perspective to a holistic product-service perspective. The four levels could be connected to the four industrial revolutions according to the concept of Industry 4.0. Level four is therefore referred to as Service Management 4.0; a business model that supports Industry 4.0 and Maintenance 4.0. In particular, three key concepts reflect the concept of Service Management 4.0: performance-based contracts, partnering and the business ecology concept.

Place, publisher, year, edition, pages
Aylesbury, England: ShieldCrest publishing Limited, 2016
Keywords
Industry 4.0, Service management 4.0, Business model development, Integrated product-service models
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-56365 (URN)
Note

Ej belagd 160916

978-1-911090-39-7

Available from: 2016-09-16 Created: 2016-09-05 Last updated: 2017-11-29Bibliographically approved
Kans, M. & Gustafsson, Å. (2016). Analyzing the meaning of interdisciplinary in the CDIO context. In: Jerker Björkqvist, Kristina Edström, Ronald J. Hugo, Juha Kontio, Janne Roslöf, Rick Sellens, Seppo Virtanen (Ed.), Proceedings of the 12th International CDIO Conference, Turku University of Applied Sciences,Turku, Finland, June 12-16, 2016.: . Paper presented at The 12th International CDIO Conference, Turku University of Applied Sciences,Turku, Finland, June 12-16, 2016. (pp. 962-973). Turku: Turku University of Applied Sciences
Open this publication in new window or tab >>Analyzing the meaning of interdisciplinary in the CDIO context
2016 (English)In: Proceedings of the 12th International CDIO Conference, Turku University of Applied Sciences,Turku, Finland, June 12-16, 2016. / [ed] Jerker Björkqvist, Kristina Edström, Ronald J. Hugo, Juha Kontio, Janne Roslöf, Rick Sellens, Seppo Virtanen, Turku: Turku University of Applied Sciences , 2016, p. 962-973Conference paper, Published paper (Refereed)
Abstract [en]

Companies search for potential recruits with interdisciplinary skills. Consequently, to meet this requirement, universities and teaching institutions develop and offer interdisciplinary courses and programs. However, the meaning of interdisciplinarity varies between different actors. In order to be able to compare, monitor and evaluate concepts, it is important to ensure that the concept have the same meaning and content for all actors. Hence, the purpose of this paper is to describe the term interdisciplinarity and its application in higher education with specific focus on CDIO related literature. Moreover, dimensions of interdisciplinarity will be illustrated in an ongoing master program.

This paper consists of two parts. The first part is a theoretical study conducted in order to describe the concept and illustrate the width of applications of interdisciplinarity in the CDIO context. For this purpose, the content of the CDIO knowledge library was surveyed using the following key words: inter*, cross*, trans*, interdisciplinary*, crossdisciplinary*, and transdisciplinary*. The second part is empirical in nature and describes an on-going interdisciplinary master program named “Innovation through Business, Engineering and Design” offered at the Linnaeus University, Sweden, as well as its dimensions of interdisciplinary.

The CDIO approach advocates integrated learning experiences and the use of disciplinary competencies for solving interdisciplinary problems. This is reflected in the body of knowledge represented by the CDIO library: most of the articles reviewed in this study are describing interdisciplinary or transdisciplinary activities. The interaction could be between subjects, skills and courses within the discipline, i.e. in a cross-disciplinary or multidisciplinary mode, or between students representing different disciplines in multidisciplinary, interdisciplinary or transdisciplinary mode. Faculty staff acts as designers and enablers of these activities, both in terms of curriculum development on strategic level and activity creation and activity execution on the operational level. The practical example given in the paper illustrates the importance of an effective administration for succeeding with interdisciplinary activities.

Place, publisher, year, edition, pages
Turku: Turku University of Applied Sciences, 2016
Series
Research Reports from Turku University of Applied Sciences ; 45
Keywords
Literature survey, Master program in innovation, Standards: 3, 5, 7, 8
National Category
Pedagogical Work
Identifiers
urn:nbn:se:lnu:diva-52981 (URN)978-952-216-610-4 (ISBN)
Conference
The 12th International CDIO Conference, Turku University of Applied Sciences,Turku, Finland, June 12-16, 2016.
Available from: 2016-06-03 Created: 2016-06-03 Last updated: 2016-09-26Bibliographically approved
Landscheidt, S. & Kans, M. (2016). Automation Practices in Wood Product Industries: Lessons learned, current Practices and Future Perspectives. In: The 7th Swedish Production Symposium SPS, 25-27 October, 2016, Lund, Sweden: . Paper presented at The 7th Swedish Production Symposium SPS, 25-27 October, 2016, Lund, Sweden. Lund, Sweden: Lund University, Article ID E1.
Open this publication in new window or tab >>Automation Practices in Wood Product Industries: Lessons learned, current Practices and Future Perspectives
2016 (English)In: The 7th Swedish Production Symposium SPS, 25-27 October, 2016, Lund, Sweden, Lund, Sweden: Lund University , 2016, , p. 9article id E1Conference paper, Published paper (Refereed)
Abstract [en]

Wood product industries are a cornerstone of the Swedish industry and contribute vastly to the total Swedish export value. Wood as material itself has a promising perspective of becoming one of the most valuable resources. Sweden in particular has a long tradition and the knowledge of how to cultivate forests. In comparison to the highly automated forest industries, production systems of Swedish wood products industries are mostly characterized by a low degree of automation, tough manual labour and a relative low competency of the workforce. Facing fiercer competition on a global market, Swedish wood product industries are starting to lose touch with wood working industries in other industrialized European countries. Based upon established literature, this paper systematizes the status of automation practices in wood processing industries. The outcome of this study also outlines the expected effects and the future perspectives of digitalization and robotic automation for wood processing industries in high-1are not ready to implement the necessary standards to enter Industry 4.0. Not only are the technical prerequisites not fulfilled, but also a lack of appropriate production organization, logistics and economic basis is affecting negatively.

Place, publisher, year, edition, pages
Lund, Sweden: Lund University, 2016. p. 9
Keywords
Automation, Industry 4.0, industrial revolution, production system, wood processing, wood product industry
National Category
Wood Science Robotics
Research subject
Technology (byts ev till Engineering); Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
urn:nbn:se:lnu:diva-58199 (URN)
Conference
The 7th Swedish Production Symposium SPS, 25-27 October, 2016, Lund, Sweden
Funder
Knowledge Foundation, ProWOOD
Available from: 2016-11-18 Created: 2016-11-18 Last updated: 2018-05-17Bibliographically approved
Galar, D., Kans, M. & Schmidt, B. (2016). Big data in asset management: Knowledge Discovery in asset data by the means of data mining. In: K.T. Koskinen, H. Kortelainen, J. Aaltonen, T. Uusitalo, K. Komonen, J. Mathew, J. Laitinen (Ed.), Koskinen, KT; Kortelainen, H; Aaltonen, J; Uusitalo, T; Komonen, K; Mathew, J; Laitinen, J (Ed.), Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015): . Paper presented at 10th World Congress on Engineering Asset Management (WCEAM), Tampere, FINLAND, SEP 28-30, 2015 (pp. 161-171). Springer
Open this publication in new window or tab >>Big data in asset management: Knowledge Discovery in asset data by the means of data mining
2016 (English)In: Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015) / [ed] Koskinen, KT; Kortelainen, H; Aaltonen, J; Uusitalo, T; Komonen, K; Mathew, J; Laitinen, J, Springer, 2016, p. 161-171Conference paper, Published paper (Refereed)
Abstract [en]

Assets are complex mixes of complex systems, built from components which, over time, may fail. The ability to quickly and efficiently determine the cause of failures and propose optimum maintenance decisions, while minimizing the need for human intervention is necessary. Thus, for complex assets, much information needs to be captured and mined to assess the overall condition of the whole system. Therefore the integration of asset information is required to get an accurate health assessment of the whole system, and determine the probability of a shutdown or slowdown. Moreover, the data collected are not only huge but often dispersed across independent systems that are difficult to access, fuse and mine due to disparate nature and granularity. If the data from these independent systems are combined into a common correlated data source, this new set of information could add value to the individual data sources by the means of data mining. This paper proposes a knowledge discovery process based on CRISP-DM for failure diagnosis using big data sets. The process is exemplified by applying it on railway infrastructure assets. The proposed framework implies a progress beyond the state of the art in the development of Big Data technologies in the fields of Knowledge Discovery algorithms from heterogeneous data sources, scalable data structures, real-time communications and visualizations techniques.

Place, publisher, year, edition, pages
Springer, 2016
Series
Lecture Notes Mechanical Engineering, ISSN 2195-4356
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-50988 (URN)10.1007/978-3-319-27064-7_16 (DOI)000375993100016 ()978-3-319-27062-3 (ISBN)
Conference
10th World Congress on Engineering Asset Management (WCEAM), Tampere, FINLAND, SEP 28-30, 2015
Available from: 2016-03-17 Created: 2016-03-17 Last updated: 2016-06-10Bibliographically approved
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