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Syberfeldt, A., Ayani, M. & Holm, M. (2018). A holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle. In: Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 405-410). Amsterdam: IOS Press
Open this publication in new window or tab >>A holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, p. 405-410Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a project that attempts to develop a holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle. With such holistic solution, virtual commission could be undertaken in all steps of the life-cycle which facilitates companies in realizing flexible and intelligent automation systems. Based on the simulated twin, the companies could easily and cost-efficiently evaluate modifications, make improvements, and train operators when changes in the production setup occurs due mass-customization or new products being introduced. This aids the companies in staying competitive on a global and rapidly changing market and meet the challenges coming with the forth industrial revolution, such as mass-customization and short product life-cycles.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Simulated twin, Virtual commissioning, Automation system
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16374 (URN)10.3233/978-1-61499-902-7-405 (DOI)2-s2.0-85057394455 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2019-02-05Bibliographically approved
Gustavsson, P., Holm, M., Syberfeldt, A. & Wang, L. (2018). Human-robot collaboration – towards new metrics for selection of communication technologies. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 123-128
Open this publication in new window or tab >>Human-robot collaboration – towards new metrics for selection of communication technologies
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 6p. 123-128Article in journal (Refereed) Published
Abstract [en]

Industrial robot manufacturers have in recent years developed collaborative robots and these gains more and more interest within the manufacturing industry. Collaborative robots ensure that humans and robots can work together without the robot being dangerous for the human. However, collaborative robots themselves are not enough to achieve collaboration between a human and a robot; collaboration is only possible if a proper communication between the human and the robot can be achieved. The aim of this paper is to identify and categorize technologies that can be used to enable such communication between a human and an industrial robot.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 6
Keywords
human-robot collaboration, human-robot interaction
National Category
Robotics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15935 (URN)10.1016/j.procir.2018.03.156 (DOI)2-s2.0-85049566186 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Available from: 2018-07-06 Created: 2018-07-06 Last updated: 2018-10-31Bibliographically approved
Danielsson, O., Syberfeldt, A., Holm, M. & Wang, L. (2018). Operators perspective on augmented reality as a support tool in engine assembly. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 45-50
Open this publication in new window or tab >>Operators perspective on augmented reality as a support tool in engine assembly
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 45-50Article in journal (Refereed) Published
Abstract [en]

Augmented Reality (AR) has shown its potential in supporting operators in manufacturing. AR-glasses as a platform both in industrial use are emerging markets, thereby making portable and hands-free AR more and more feasible. An important aspect of integrating AR as a support tool for operators is their acceptance of the technology. This paper presents the results of interviewing operators regarding their view on AR technology in their field and observing them working in automotive engine assembly and how they interact with current instructions. The observations and follow-up questions identified three main aspects of the information that the operators looked at: validating screw torque, their current assembly time, and if something went wrong. The interviews showed that a large amount of the operators were positive towards using AR in assembly. This has given an insight in both the current information interaction the operators do and their view on the potential in using AR. Based on these insights we suggest a mock-up design of an AR-interface for engine assembly to serve as a base for future prototype designs.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
augmented reality, engine assembly, operator, förstärkt verklighet, motormontering, operatör
National Category
Communication Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15937 (URN)10.1016/j.procir.2018.03.153 (DOI)2-s2.0-85049604095 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Available from: 2018-07-06 Created: 2018-07-06 Last updated: 2018-10-31Bibliographically approved
Holm, M. (2018). The future shop-floor operators, demands, requirements and interpretations. Journal of manufacturing systems, 47, 35-42
Open this publication in new window or tab >>The future shop-floor operators, demands, requirements and interpretations
2018 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 47, p. 35-42Article in journal (Refereed) Published
Abstract [en]

The evolution of the manufacturing industry reveals continuous progress and development throughout the years. This evolution not only includes production methodologies and the production equipment, it also includes the working environment of the shop-floor operators. The demands faced by the shop-floor operators have developed from strictly controlled, simple and monotonic tasks to self-controlled team work requiring a holistic approach that aims at continuous improvements and achieving a high degree of flexibility, adaptability and initiative.

This paper describes the evolution of the shop-floor operator, according to the research literature and interviews with manufacturing managers and human resources specialists. In addition, the paper presents the response of future Swedish shop-floor operators, today’s high-school students, to a description of their possible future work as shop-floor operators. The Swedish manufacturing industry competes, to a large extent, on and responds to the international market. The findings made in this paper are thus also interesting for other industries and countries acting on the international market.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Future shop-floor operators, Manufacturing Industry, Interview study, Survey Study
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14975 (URN)10.1016/j.jmsy.2018.03.004 (DOI)000435061400003 ()2-s2.0-85044168599 (Scopus ID)
Projects
YOU2
Funder
Knowledge Foundation, 20130303
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-07-23Bibliographically approved
Holm, M., Frantzén, M., Aslam, T., Moore, P. & Wang, L. (2017). A methodology facilitating knowledge transfer to both research experienced companies and to novice SMEs. International Journal of Enterprise Network Management, 8(2), 123-140, Article ID IJENM0080202.
Open this publication in new window or tab >>A methodology facilitating knowledge transfer to both research experienced companies and to novice SMEs
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2017 (English)In: International Journal of Enterprise Network Management, ISSN 1748-1252, Vol. 8, no 2, p. 123-140, article id IJENM0080202Article in journal (Refereed) Published
Abstract [en]

In this paper, knowledge transfer is defined as a process of disseminating both technological and theoretical understanding as well as enhancing both industrial and academic knowledge through conducted research to project partners collaborating within a research project. To achieve this, a new methodology called 'user groups' is introduced. It facilitates knowledge transfer between project participants in collaborative research programs engaging both experienced and unexperienced partners regardless of level of input. The introduced methodology 'user groups' provides tools for collaborating with several research partners even though their levels of engagement in the project and prior research experience may vary without dividing them into separate groups. It enables all project partners to gain new knowledge and by so doing extending the knowledge society. The case study shows that the eight engaged companies are able to cooperate, achieve their own objectives and, both jointly and individually, contribute to the overall project goals.

Place, publisher, year, edition, pages
InderScience Publishers, 2017
Keywords
methodology facilitating knowledge transfer, technology transfer, SME, small and medium enterprises, knowledge society
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-13999 (URN)10.1504/IJENM.2017.10006499 (DOI)2-s2.0-85027189530 (Scopus ID)
Funder
Knowledge Foundation, 20130303VINNOVA, 2014-05220
Available from: 2017-08-17 Created: 2017-08-17 Last updated: 2019-01-24Bibliographically approved
Holm, M. (2017). Adaptive Decision Support for Shop-floor Operators using Function Blocks. (Doctoral dissertation). Högskolan i Skövde
Open this publication in new window or tab >>Adaptive Decision Support for Shop-floor Operators using Function Blocks
2017 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

In manual and semi-automation production systems, flexibility and adaptability are affected by the shop-floor operators’ skills, abilities and knowledge. Such dependencies highlight the vital importance of developing and utilising the knowledge, achievements and abilities of the operators working with production on the shop-floor. Teamwork, including both novice and highly experienced shop-floor operators, in a production environment with a high level of automation, is essential already today and is predicted to increase, when the complexity and demands of future production systems intensify. This trend is confirmed in both the research literature and by specialists within industry.

The key to future competitiveness and effectiveness of the manufacturing industry is the shop-floor operators who handle the production systems. In addition, the future information intensive working environment, with its increasing complexity and less time available for decision-making, demands adaptive decision support and adaptive control systems that facilitate collaborative work on the shop-floor. It is therefore important to emphasise how decisions are supported in the time-limited working environment of the shop-floor, because this has a large impact on production output and quality and is vital to the success of the company. Consequently, this dissertation presents a framework for an adaptive decision support system that concentrates on shop-floor operators, in order to enhance their development and future contribution to leading edge production systems.

The overall aim of the research presented is to define a framework for an Adaptive Decision Support System, to address the scope and demands of the future shop-floor, as indicated in the research literature, and confirm its relevance, as well as further elaborate it on the basis of interviews with production managers and HR specialists

The research presented uses the design science research process. In parallel, decision support systems and the industrial shop-floor have been studied in the research literature and the current state of industrial practice has been assessed. These areas together form the basis for the research on adaptive decision support for shop-floor operators. A framework enabling adaptive decision support and adaptive system control, based on event-driven function block technology and Augmented Reality technology, is formulated.

The gap of research on decision support for shop-floor operators, indicated in the research literature is addressed by the research preformed.  Adaptive and dynamic decision support and system control able to process vast amounts of information in real time demonstrates utility for shop-floor operators. The research presenting the Adaptive Decision Support System has demonstrated its utility for shop-floor systems and production operatives in two extensive studies using demonstrators based on real-life production environments.

A methodology, the ‘User group’, has been formulated for research collaboration and bi-directional knowledge transfer between academia and the industrial partners. It provides tools that enable cooperation between the experienced research partner and the novices, despite their different levels of engagement in the same project, without dividing them into separate groups. The ‘user group’ case study presented describes how both the inexperienced and the research mature companies gain new knowledge and engage in ongoing research. By doing so, the industrial project partners have extensively supported the research presented and will subsequently be the expected beneficiaries.

Place, publisher, year, edition, pages
Högskolan i Skövde, 2017. p. 192
Series
Dissertation Series ; 17
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-13503 (URN)978-91-982690-8-6 (ISBN)
Public defence
2017-01-11, 09:30 (English)
Supervisors
Available from: 2017-04-20 Created: 2017-04-19 Last updated: 2019-01-24Bibliographically approved
Holm, M., Danielsson, O., Syberfeldt, A., Moore, P. & Wang, L. (2017). Adaptive instructions to novice shop-floor operators using Augmented Reality. Journal of Industrial and Production Engineering, 34(5), 362-374
Open this publication in new window or tab >>Adaptive instructions to novice shop-floor operators using Augmented Reality
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2017 (English)In: Journal of Industrial and Production Engineering, ISSN 2168-1015, Vol. 34, no 5, p. 362-374Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel system using Augmented Reality and Expert Systems to enhance the quality and efficiency of shop-floor operators. The novel system proposed provides an adaptive tool that facilitates and enhances support on the shop-floor, due to its ability to dynamically customize the instructions displayed, dependent upon the competence of the user. A comparative study has been made between an existing method of quality control instructions at a machining line in an automotive engine plant and this novel system. It has been shown that the new approach outcompetes the existing system, not only in terms of perceived usability but also with respect to two other important shop-floor variables: quality and productivity. Along with previous research, the outcomes of these test cases indicate the value of using Augmented Reality technology to enhance shop-floor operators’ ability to learn and master new tasks.

Place, publisher, year, edition, pages
Taylor & Francis, 2017
Keywords
Adaptive instructions, Augmented reality, Shop-floor operators, Expert systems, Shop-floor support
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-13565 (URN)10.1080/21681015.2017.1320592 (DOI)000409142300004 ()2-s2.0-85018720899 (Scopus ID)
Projects
SYMBIO-TIC [637107] & YOU2 [20130303]
Funder
Knowledge Foundation, 20130303EU, Horizon 2020, 637107
Available from: 2017-05-31 Created: 2017-05-31 Last updated: 2019-01-24Bibliographically approved
Adamson, G., Wang, L., Holm, M. & Moore, P. (2017). Cloud Manufacturing: A Critical Review of Recent Development and Future Trends. International journal of computer integrated manufacturing (Print), 30(4-5), 347-380
Open this publication in new window or tab >>Cloud Manufacturing: A Critical Review of Recent Development and Future Trends
2017 (English)In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 30, no 4-5, p. 347-380Article in journal (Refereed) Published
Abstract [en]

There is an on-going paradigm shift in manufacturing, in which modern manufacturing industry is changing towards global manufacturing networks and supply chains. This will lead to the flexible usage of different globally distributed, scalable and sustainable, service-oriented manufacturing systems and resources. Combining recently emerged technologies, such as Internet of Things, Cloud Computing, Semantic Web, service-oriented technologies, virtualisation and advanced high-performance computing technologies, with advanced manufacturing models and information technologies, Cloud Manufacturing is a new manufacturing paradigm built on resource sharing, supporting and driving this change.

It is envisioned that companies in all sectors of manufacturing will be able to package their resources and know-hows in the Cloud, making them conveniently available for others through pay-as-you-go, which is also timely and economically attractive. Resources, e.g. manufacturing software tools, applications, knowledge and fabrication capabilities and equipment, will then be made accessible to presumptive consumers on a worldwide basis.

Cloud Manufacturing has been in focus for a great deal of research interest and suggested applications during recent years, by both industrial and academic communities. After surveying a vast array of available publications, this paper presents an up-to-date literature review together with identified outstanding research issues, and future trends and directions within Cloud Manufacturing.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2017
Keywords
Cloud Manufacturing, Resource Sharing, Service Orientation
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Technology; Production and Automation Engineering; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-11281 (URN)10.1080/0951192X.2015.1031704 (DOI)000396794500002 ()2-s2.0-84927720769 (Scopus ID)
Funder
Knowledge Foundation, 20130303
Available from: 2015-07-02 Created: 2015-07-02 Last updated: 2019-01-24Bibliographically approved
Adamson, G., Holm, M., Moore, P. & Wang, L. (2016). A Cloud Service Control Approach for Distributed and Adaptive Equipment Control in Cloud Environments. In: Roberto Teti (Ed.), Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th CIRP Conference on Manufacturing Systems. Paper presented at CIRP CMS 2015, 48th CIRP Conference on Manufacturing Systems, Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future, 24-26 June 2015, Ischia (Naples), Italy (pp. 644-649). Elsevier, 41
Open this publication in new window or tab >>A Cloud Service Control Approach for Distributed and Adaptive Equipment Control in Cloud Environments
2016 (English)In: Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th CIRP Conference on Manufacturing Systems / [ed] Roberto Teti, Elsevier, 2016, Vol. 41, p. 644-649Conference paper, Published paper (Refereed)
Abstract [en]

A developing trend within the manufacturing shop-floor domain is the move of manufacturing activities into cloud environments, as scalable, on-demand and pay-per-usage cloud services. This will radically change traditional manufacturing, as borderless, distributed and collaborative manufacturing missions between volatile, best suited groups of partners will impose a multitude of advantages. The evolving Cloud Manufacturing (CM) paradigm will enable this new manufacturing concept, and on-going research has described many of its anticipated core virtues and enabling technologies. However, a major key enabling technology within CM which has not yet been fully addressed is the dynamic and distributed planning, control and execution of scattered and cooperating shop-floor equipment, completing joint manufacturing tasks.

In this paper, the technological perspective for a cloud service-based control approach is described, and how it could be implemented. Existing manufacturing resources, such as soft, hard and capability resources, can be packaged as cloud services, and combined to create different levels of equipment or manufacturing control, ranging from low-level control of single machines or devices (e.g. Robot Control-as-a-Service), up to the execution of high level multi-process manufacturing tasks (e.g. Manufacturing-as-a-Service). A multi-layer control approach, featuring adaptive decision-making for both global and local environmental conditions, is proposed. This is realized through the use of a network of intelligent and distributable decision modules such as event-driven Function Blocks, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the CM cloud service management functionality is also described.

Place, publisher, year, edition, pages
Elsevier, 2016
Series
Procedia CIRP, ISSN 2212-8271 ; 41
Keywords
cloud manufacturing, cloud service, adaptive manufacturing, robot control
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-11372 (URN)10.1016/j.procir.2015.12.020 (DOI)000379247600110 ()2-s2.0-84968752806 (Scopus ID)
Conference
CIRP CMS 2015, 48th CIRP Conference on Manufacturing Systems, Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future, 24-26 June 2015, Ischia (Naples), Italy
Funder
Knowledge Foundation
Available from: 2015-08-19 Created: 2015-08-19 Last updated: 2018-03-29Bibliographically approved
Frantzén, M., Holm, M., Syberfeldt, A., Ng, A. H. C., Karlsson, V. & Bremert, M. (2016). Dynamic maintenance priority of a real-world machining line. In: Proceedings of the 7th Swedish Production Symposium: . Paper presented at 7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016.
Open this publication in new window or tab >>Dynamic maintenance priority of a real-world machining line
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2016 (English)In: Proceedings of the 7th Swedish Production Symposium, 2016Conference paper, Published paper (Refereed)
Abstract [en]

To support the shop-floor operators, decision support systems (DSS) are becoming more and more vital to the success of manufacturing systems in industry today. In order to get a DSS able to adapt to disturbances in a production system, on-line data are needed to be able to make optimal or near-optimal decisions in real-time (soft real-time). This paper investigates one part of such a system, i.e. how different priorities of maintenance activities (planned and unplanned) affect the productivity of a production system. A discrete-event simulation model has been built for a real-world machining line in order to simulate the decisions made in subject to disturbances. This paper presents a way of prioritizing operators and machines based on multiple criteria such as competence, utilization, distance, bottleneck, and Work-In-Process. An experimental study based on the real-world production system has shown promising results and given insights of how to prioritize the operators in a good way. Another novelty introduced in this paper is the use of simulation-based optimization to generate composite dispatching rules in order to find good tradeoffs when taking a decision of which machine or operator to select.

Keywords
maintenance, simulation, optimization, genetic programming
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-13232 (URN)
Conference
7th Swedish Production Symposium, Lund, Sweden, October 25-27, 2016
Projects
Young Operator2020 (YOU2)Interactive Decision Support using Simulation-based Innovization (IDSS)
Funder
Knowledge Foundation
Available from: 2016-12-15 Created: 2016-12-14 Last updated: 2018-03-28
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1699-3778

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