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Publications (10 of 16) Show all publications
Thorvald, P., Bäckstrand, J., Malmsköld, L., O’Nils, M., Rosén, B. G. & Syberfeldt, A. (2024). Smart Industry Sweden: A Collaborative Industrial Graduate School. In: Joel Andersson, Shrikant Joshi, Lennart Malmsköld, Fabian Hanning (Ed.), Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024 (pp. 719-730). IOS Press
Open this publication in new window or tab >>Smart Industry Sweden: A Collaborative Industrial Graduate School
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2024 (English)In: Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024 / [ed] Joel Andersson, Shrikant Joshi, Lennart Malmsköld, Fabian Hanning, IOS Press , 2024, p. 719-730Chapter in book (Refereed)
Abstract [en]

As we find ourselves in the midst of the fourth industrial revolution, also known as Industry 4.0, the digital transformation of products, processes, and systems, along with their interconnectedness, is of utmost interest. To ensure future competitiveness in the manufacturing sector, the integration of advanced manufacturing technologies and advanced information technology is essential. Information technologies and knowledge are deeply intertwined with industrial equipment, processes, products, and systems, posing a challenge in transitioning today's manufacturing industry into the digital era. The manufacturing sector will require adequate methods, a conducive working environment, new tools, and lifelong training to support its employees.

This article describes a joint effort of five Swedish universities with the ambition to strengthen the competitiveness and innovativeness of the national manufacturing industry through highly competent researchers and future leaders. The collaboration is in the form of an industrial graduate school, combining the efforts of five universities, 16 graduate students, and 12 companies or organisations. This article will outline how the graduate school has been organized, the joint efforts that have been made to assure the development of all parties, organisations and individuals, and will also outline some of the key success factors that have been identified thus far in the project. 

Place, publisher, year, edition, pages
IOS Press, 2024
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 52
Keywords
Smart industry, emerging technologies, industry 4.0, education, graduate school
National Category
Manufacturing, Surface and Joining Technology
Research subject
Production Technology
Identifiers
urn:nbn:se:hv:diva-21502 (URN)10.3233/atde240212 (DOI)9781643685106 (ISBN)9781643685113 (ISBN)
Note

CC BY NC 4.0

Available from: 2024-04-17 Created: 2024-04-17 Last updated: 2024-04-17
Andersson, J., Joshi, S. V., Malmsköld, L. & Hanning, F. (Eds.). (2024). Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024). IOS Press
Open this publication in new window or tab >>Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

Collaboration between those working in product development and production is essential for successful product realization. The Swedish Production Academy (SPA) was founded in 2006 with the aim of driving and developing production research and higher education in Sweden, and increasing national cooperation in research and education within the area of production.

This book presents the proceedings of SPS2024, the 11th Swedish Production Symposium, held from 23 to 26 April 2024 in Trollhättan, Sweden. The conference provided a platform for SPA members, as well as for professionals from industry and academia interested in production research and education from around the world, to share insights and ideas. The title and overarching theme of SPS2024 was Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning, and the conference emphasized stakeholder value, the societal role of industry, worker wellbeing, and environmental sustainability, in alignment with the European Commission's vision for the future of manufacturing. The 59 papers included here were accepted for publication and presentation at the symposium after a thorough review process. They are divided into 6 sections reflecting the thematic areas of the conference, which were: sustainable manufacturing, smart production and automation, digitalization for efficient product realization, circular production, industrial transformation for sustainability, and the integration of education and research.

Highlighting the latest developments and advances in automation and sustainable production, the book will be of interest to all those working in the field.

Place, publisher, year, edition, pages
IOS Press, 2024. p. 748
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 1573-6725 ; 52
Keywords
work integrated learning, production technology, education, automation, sustainable production
National Category
Learning Manufacturing, Surface and Joining Technology
Research subject
Work Integrated Learning; Production Technology
Identifiers
urn:nbn:se:hv:diva-21487 (URN)9781643685106 (ISBN)9781643685113 (ISBN)
Note

CC BY NC

Available from: 2024-04-15 Created: 2024-04-15 Last updated: 2024-04-17
Tobisková, N., Gull, E. S., Janardhanan, S., Pederson, T. & Malmsköld, L. (2023). Augmented Reality for AI-driven Inspection?: A Comparative Usability Study. Paper presented at Procedia CIRPOpen AccessVolume 119, Pages 734 - 7392023 33rd CIRP Design Conference, Sydney 17 May 2023, through 19 May 2023. Procedia CIRP, 119, 734-739
Open this publication in new window or tab >>Augmented Reality for AI-driven Inspection?: A Comparative Usability Study
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2023 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 119, p. 734-739Article in journal (Refereed) Published
Abstract [en]

Inspection in Aerospace industry can, as well as many other industrial applications, benefit from using Augmented Reality (AR) due to its ability to superimpose helpful digital information in 3D, leading to fewer errors and decreased mental demand. However, each AR device has advantages and disadvantages, and not all AR devices are suitable for use in industrial settings. We compare a tripod-fitted-adjustable-arm tablet-based AR solution (Apple iPad Pro) to head-mounted AR (Microsoft HoloLens 2) and a traditional, computer screen-based human-machine interface (HMI), all three designed to guide operators based on previously performed AI-based image analysis. Following an iterative design process with three formative evaluations, a final field test in a real industrial shop floor engaging 6 professional inspectors revealed an overall preference for the tripod-fitted iPad variant which receiving the best scores in most dimensions covered in both a usability-focused SUS questionnaire (score 71) and a NASA-RTLX form focused on perceived workload. More specifically, the tripod-fitted iPad was considered more usable (SUS) than the classic computer display HMI (M=5.83, SD=4.92, p=0.034, N=6); the temporal demand (NASA-RTLX) was considered lower using the iPad compared to both HoloLens 2 and the HMI (M=6.67, SD=4.08, p=0.010; M=10.83, SD=9.70, p=0.040, N=6), respectively. 

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Aerospace industry; Hand held computers; Human computer interaction; Inspection; NASA; Aerospace; Automated visual inspection; Collaborative automation; Digital information; Human Machine Interface; Industrial settings; MicroSoft; Traditional computers; Usability evaluation; Usability studies; Augmented reality
National Category
Human Aspects of ICT
Research subject
Production Technology; Work Integrated Learning
Identifiers
urn:nbn:se:hv:diva-21175 (URN)10.1016/j.procir.2023.03.122 (DOI)2-s2.0-85169900193 (Scopus ID)
Conference
Procedia CIRPOpen AccessVolume 119, Pages 734 - 7392023 33rd CIRP Design Conference, Sydney 17 May 2023, through 19 May 2023
Note

CC BY 4.0

Available from: 2024-01-16 Created: 2024-01-16 Last updated: 2024-01-16
Tobisková, N., Malmsköld, L. & Pederson, T. (2023). Head-Mounted Augmented Reality Support for Assemblers of Wooden Trusses. Paper presented at 33rd CIRP Design Conference, Sydney 17 May 2023 through 19 May 2023, Code 191393. Procedia CIRP, 119, 134-139
Open this publication in new window or tab >>Head-Mounted Augmented Reality Support for Assemblers of Wooden Trusses
2023 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 119, p. 134-139Article in journal (Refereed) Published
Abstract [en]

Wooden-house assembly is an area where still a big part of the work is done manually. In this case study, pairs of operators compose large wooden pieces together based on paper-print instructions complemented by visual guidance in the shape of laser marks projected from lasers mounted in the ceiling, based on Computer-aided design (CAD) data. Augmented Reality (AR) head-mounted displays (HMD) offer a unique platform for providing instructions and additional information superimposed in the work environment and thus can provide guidance in a cognitively ergonomic way. A particular advantage compared to other computing platforms is that the operators have free hands and can perform the manual work and follow guidance simultaneously. We present an evaluation of a prototype that dynamically transforms a CAD data file with design and measurements of wooden trusses to be manufactured, into an AR-based guidance system developed in Unity for Microsoft HoloLens 2 devices. We used an iterative participatory design process for prototyping and think-aloud protocol combined with observations for evaluation, involving professional assemblers in different stages of the process. Participants found the solution to potentially save time in their everyday work and simplify the task by offering increased visibility of the marks compared to the existing laser projection. Large-scale deployment of the system is still facing design challenges of which some are also discussed in the paper.  

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Computer aided design; Helmet mounted displays; Human computer interaction; Trusses; Case-studies; Computer-aided design; Design data; Hololens 2; Industrial assemblies; Interaction design; Manufacturing; Paper prints; Visual guidance; Wooden house; Augmented reality
National Category
Human Aspects of ICT
Research subject
Work Integrated Learning; Production Technology
Identifiers
urn:nbn:se:hv:diva-21174 (URN)10.1016/j.procir.2023.02.130 (DOI)2-s2.0-85169933114 (Scopus ID)
Conference
33rd CIRP Design Conference, Sydney 17 May 2023 through 19 May 2023, Code 191393
Note

CC BY 4.0

Available from: 2024-01-16 Created: 2024-01-16 Last updated: 2024-01-16Bibliographically approved
Tobisková, N., Malmsköld, L. & Pederson, T. (2022). Multimodal Augmented Reality and Subtle Quidance for Industrial Assembly: A Survey and Ideation Method. Paper presented at 14th International Conference, VAMR 2022Held as Part of the 24th HCI International Conference, HCII 2022Virtual Event, June 26 – July 1, 2022Proceedings, Part II. Lecture Notes in Computer Science, 13318 LNCS, 329-349
Open this publication in new window or tab >>Multimodal Augmented Reality and Subtle Quidance for Industrial Assembly: A Survey and Ideation Method
2022 (English)In: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, Vol. 13318 LNCS, p. 329-349Article in journal (Refereed) Published
Abstract [en]

Industrial manual assembly is a relatively established use case for emerging head-mounted Augmented Reality (AR) platforms: operators get visual support in placing pieces depending on where they are in the assembly process. However, is vision the only suitable sensory modality for such guidance? We present a systematic review of previous work done on multimodal guidance and subtle guidance approaches, confirming that explicit visual cues dominate. We then outline a three-step method for generating multisensory guidance ideas intended for real-world task support based on task observation that led to identification of 18 steps in truss assembly, brainstorming AR guidance approaches related to assembly and maintenance, and mapping of brainstorming results to the observed task. We illustrated the use of the method by deploying it on our current mission in producing AR guidance approaches for an industrial partner involved in designing and assembling wooden trusses. In this work, we went beyond the standard visual AR guidance in two ways, 1) by opening for guidance through auditory, tactile, and olfactory sensory channels, 2) by considering subtle guidance as alternative or complement to explicit information presentation. We presented a resulting set of multisensory guidance ideas, each tied to one of the 18 steps in the observed truss assembly task. To mention a few which we intend to investigate further: smell for gradual warning about non-imminent potential hazardous situations; 3D sound to guide operators to location of different tools; thermos-haptics for subtle notifications about contextual events (e.g., happening at other assembly stations). The method presented helped us to explore all modalities and to identify new possibilities. More work is needed to understand how different modalities can be combined and the impact of different modality distractions on task performance. © 2022, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2022
Keywords
Trusses; Assembly process; Guidance; Ideation methods; Industrial assemblies; Manual assembly; Multi-modal; Multimodal Interaction; Multisensory; Subtle cue; Survey methods; Augmented reality
National Category
Robotics Computer Systems
Research subject
Production Technology; Work Integrated Learning
Identifiers
urn:nbn:se:hv:diva-19151 (URN)10.1007/978-3-031-06015-1_23 (DOI)000870269100023 ()2-s2.0-85131960208 (Scopus ID)
Conference
14th International Conference, VAMR 2022Held as Part of the 24th HCI International Conference, HCII 2022Virtual Event, June 26 – July 1, 2022Proceedings, Part II
Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2024-04-08Bibliographically approved
Valiente Bermejo, M. A., Eynian, M., Malmsköld, L. & Scotti, A. (2021). University-industry collaboration in curriculum design and delivery: A model and its application in manufacturing engineering courses. Industry & higher education, 36(5)
Open this publication in new window or tab >>University-industry collaboration in curriculum design and delivery: A model and its application in manufacturing engineering courses
2021 (English)In: Industry & higher education, ISSN 0950-4222, E-ISSN 2043-6858, Vol. 36, no 5Article in journal (Refereed) Published
Abstract [en]

The advantages and importance of university-industry collaboration, particularly in curriculum design and delivery, are well-known. However, although curriculum development models are available in the literature, very few are sufficiently concrete to be applicable in practice or are generalizable beyond their discipline of origin. In this paper, a co-operative model based on the Plan-Do-Study-Act cycle is presented and described. An example of its application in the curriculum design of two courses in welding within a Manufacturing Engineering Master's program is detailed. The model was found successful based on the evaluation of the courses by students, teachers, and the industrial representatives involved. Therefore, it proved to be an effective tool for bridging the gap between industrial needs and academia in the field of Manufacturing Engineering education. At the same time, the methodology is generalizable and is applicable to any field of education.

Keywords
university–industry collaboration, curriculum design, higher education, co-production, manufacturing engineering education, welding courses
National Category
Production Engineering, Human Work Science and Ergonomics Learning Pedagogy
Research subject
Production Technology
Identifiers
urn:nbn:se:hv:diva-17974 (URN)10.1177/09504222211064204 (DOI)000737889800001 ()2-s2.0-85121783972 (Scopus ID)
Funder
Knowledge Foundation, 20180019
Available from: 2021-12-30 Created: 2021-12-30 Last updated: 2023-06-04
Johansson, P. E., Malmsköld, L., Fast-Berglund, Å. & Moestam, L. (2019). Challenges of handling assembly information in global manufacturing companies. Journal of Manufacturing Technology Management, 31(5), 955-976
Open this publication in new window or tab >>Challenges of handling assembly information in global manufacturing companies
2019 (English)In: Journal of Manufacturing Technology Management, ISSN 1741-038X, E-ISSN 1758-7786, Vol. 31, no 5, p. 955-976Article in journal (Refereed) Published
Abstract [en]

Purpose

The purpose of this paper is to describe challenges the manufacturing industry is currently facing when developing future assembly information systems. More specific, this paper focuses on the handling of assembly information from manufacturing engineering to the shop floor operators.

Design/methodology/approach

Multiple case studies have been conducted within one case company between 2014 and 2017. To broaden the perspective, interviews with additionally 17 large and global manufacturing companies and 3 industry experts have been held. Semi-structured interviews have been the main data collection method alongside observations and web questionnaires.

Findings

Six focus areas have been defined which address important challenges in the manufacturing industry. For manual assembly intense manufacturing company, challenges such as IT challenges, process challenges, assembly process disturbances, information availability, technology and process control, and assembly work instructions have been identified and hinder implementation of Industry 4.0 (I4.0).

Originality/value

This longitudinal study provides a current state analysis of the challenges the manufacturing industry is facing when handling assembly information. Despite the vast amount of initiatives within I4.0 and digitalization, this paper argues that the manufacturing industry needs to address the six defined focus areas to become more flexible and prepared for the transition toward a digitalized manufacturing industry.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019
Keywords
Digitization, manufacturing industry, information systems, industry 4.0, global manufacturing networks
National Category
Production Engineering, Human Work Science and Ergonomics Computer Systems
Research subject
Production Technology; ENGINEERING, Quality management; ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-14844 (URN)10.1108/JMTM-05-2018-0137 (DOI)000594693400006 ()2-s2.0-85076164144 (Scopus ID)
Projects
GAIS and GAIS 2 (Global Assembly Instruction Strategy)
Funder
Vinnova, 2016-03360
Note

The authors would like to thank the academia and companies involved in the research projects GAIS and GAIS 2 (Global Assembly Instruction Strategy). The work has been jointly carried out within Volvo Group Trucks Operations and the Production Area of Advance at Chalmers and sponsored by VINNOVA-FFI (Grant No. 2016-03360). The research activities in this paper have been designed and planned by the corresponding author and conducted in collaboration with different master theses students at Volvo Group Trucks Operations. Their contribution to the research is fully acknowledged.

Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2021-01-12Bibliographically approved
Johansson, P. E. .., Malmsköld, L., Fast-Berglund, Å. & Moestam, L. (2018). Enhancing Future Assembly Information Systems: Putting Theory into Practice. Paper presented at 28th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2018; Hotel WestinColumbus; United States; 11 June 2018 through 14 June 2018. Procedia Manufacturing, 17, 491-498
Open this publication in new window or tab >>Enhancing Future Assembly Information Systems: Putting Theory into Practice
2018 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 17, p. 491-498Article in journal (Refereed) Published
Abstract [en]

The manufacturing industry is in a changing state where technology advancements change the mindset of how manufacturing systems will function in the future. Industry 4.0 provides manufacturing companies with new methods for improved decision-making processes and dynamic process control. Despite this ambition, the manufacturing industry is far away from implementing this approach in practice. Assembly information systems will play an even more vital role enabling information transfer from product design to shop floor assembly in the future. To prepare the industry for these changes that are foreseen and for those that are yet to be discovered, a learning factory environment is vital. Such an environment is intended to support the industry during the development of assembly information systems. This paper presents an industrial demonstrator which incorporates well-known methods for improving assembly work stations with the perspective on assembly information systems. These methods are still not widely used in manual assembly intense manufacturing companies. This demonstrator illustrates how established theories can be practically used when designing future assembly information systems. The demonstrator will be used to validate functionalities and requirements for future assembly information systems.

Keywords
Assembly Information Systems, Learning factories, Digitalization, Assembly systems
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-13483 (URN)10.1016/j.promfg.2018.10.088 (DOI)000471035200062 ()2-s2.0-85060451329 (Scopus ID)
Conference
28th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2018; Hotel WestinColumbus; United States; 11 June 2018 through 14 June 2018
Funder
Vinnova
Available from: 2019-02-06 Created: 2019-02-06 Last updated: 2020-02-05Bibliographically approved
Johansson, P. E., Eriksson, G., Johansson, P. E. C., Malmsköld, L., Fast-Berglund, Å. & Moestam, L. (2017). Assessment based information needs in manual assembly. In: 24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR): . Paper presented at 24th International Conference on Production Research (ICPR),Posnan, POLAND, JUL 30-AUG 03, 2017 (pp. 366-371). Lancaster, Pennsylvania, USA: DESTECH PUBLICATIONS, INC
Open this publication in new window or tab >>Assessment based information needs in manual assembly
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2017 (English)In: 24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR), Lancaster, Pennsylvania, USA: DESTECH PUBLICATIONS, INC , 2017, p. 366-371Conference paper, Published paper (Refereed)
Abstract [en]

To handle the complex and flexible manufacturing of today it is vital to have well functional information systems for the operators so that they know when, what and where to assemble. The current designs of assembly work instructions differ much between companies, but also between plants within the same company. The digitalization trends and initiatives such as Industry 4.0 show the manufacturing industry the advantages to incorporate new methods and tools into their businesses. Even though manufacturing IT systems are designed to be adaptive to product and volume changes, they are still widely characterized by their rigid structures. Making large changes to manufacturing IT systems with comprehensive structures is complex and requires large amounts of resources. Therefore, it is important for the manufacturing companies to make the correct investments. In previous studies, two current state analyses have been conducted with the aim to map manufacturing engineering processes and IT systems producing assembly work instructions in a mass customization context. This paper presents results from the third part of a longitudinal study which focuses on identifying operators’ information needs in manual assembly of heavy vehicles. This third study aims to identify the information gap between the current state and the wanted state by assessing information needs at 13 assembly stations in three plants belonging to a global production network. The purpose is to identify design requirements for future assembly information systems enabling the practical use of the digitalization.

Place, publisher, year, edition, pages
Lancaster, Pennsylvania, USA: DESTECH PUBLICATIONS, INC, 2017
Series
DEStech Transactions on Engineering and Technology Research, E-ISSN 2475-885X
Keywords
Manufacturing systems; assembly information systems; cognitive automation; cognitive ergonomics; digitalization; Industry 4.0
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-14954 (URN)10.12783/dtetr/icpr2017/17637 (DOI)000426981800065 ()2-s2.0-85076158706 (Scopus ID)978-1-60595-507-0 (ISBN)
Conference
24th International Conference on Production Research (ICPR),Posnan, POLAND, JUL 30-AUG 03, 2017
Funder
Vinnova, 2016-03360
Available from: 2020-02-06 Created: 2020-02-06 Last updated: 2020-03-10Bibliographically approved
Johansson, P. E. C., Enofe, M. O., Schwarzkopf, M., Malmsköld, L., Fast-Berglund, Å. & Moestam, L. (2017). Data and Information Handling in Assembly Information Systems: A Current State Analysis. Paper presented at 27th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Modena, ITALY, JUN 27-30, 2017. Procedia Manufacturing, 11, 2099-2106
Open this publication in new window or tab >>Data and Information Handling in Assembly Information Systems: A Current State Analysis
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2017 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 11, p. 2099-2106Article in journal (Refereed) Published
Abstract [en]

Products become more complex as the general technology development reaches new levels. These new technologies enable manufacturing companies to offer better products with new functionalities to their customers. Complex products require adequate manufacturing systems to cope with changing product requirements. In general, manufacturing of this type of products entails complex structured and rigid IT systems. Due to the system’s complexity and comprehensive structure, it becomes challenging to optimize the information flow. There are improvement potentials in how such systems could be better structured to meet the demands in complex manufacturing situations. This is particularly true for the vehicle manufacturing industry where growth in many cases have occurred through acquisitions, resulting in increased levels of legacy IT systems. Additionally, this industry is characterized by high levels of product variety which contribute to the complexity of the manufacturing processes. In manual assembly of these products, operations are dependent on high quality assembly work instructions to cope with the complex assembly situations. This paper presents a current state analysis of data and information handling in assembly information systems at multiple production sites at a case company manufacturing heavy vehicles. On basis of a certain set of characterizing manual assembly tasks for truck, engine and transmission assembly, this work focuses on identifying what data and information that is made available to operators in terms of assembly work instructions and the importance of such data and information. This work aims to identify gaps in the information flow between manufacturing engineering and shop floor operations. © 2017 The Authors

National Category
Computer Sciences Production Engineering, Human Work Science and Ergonomics
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
urn:nbn:se:hv:diva-11908 (URN)10.1016/j.promfg.2017.07.335 (DOI)000419072100249 ()2-s2.0-85029837281 (Scopus ID)
Conference
27th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Modena, ITALY, JUN 27-30, 2017
Funder
Vinnova, 2016 -03360
Note

Available online 18 September 2017

Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2020-02-06Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0429-2237

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