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Sandberg, Ulf
Publications (4 of 4) Show all publications
Sandberg, U., Schmidt, B. & Wang, L. (2014). Management of factory and maintenance information for multiple production and product life-cycle phases. In: B.K.N.Rao (Ed.), : . Paper presented at Comadem 2014.
Open this publication in new window or tab >>Management of factory and maintenance information for multiple production and product life-cycle phases
2014 (English)In: / [ed] B.K.N.Rao, 2014Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance is crucial for future manufacturing systems. An extended local knowledge is essential to increase precision and efficiency, but also for improvements of the maintained object itself. Approaches exist that closes the loop from end-user to vendor, but intra loops are not so well developed.

This article discusses ways to interconnect and manage data and knowledge flow between work processes in user and vendor life-cycles. It aims to inspire improvements in existing approaches, closer connections between producer and customer, between users, and improved quality of maintenance work via factory-, company-, or group-wide data and knowledge about similar types of equipment.

Keywords
Maintenance improvement, product improvement, machine builders, vendors of factory systems, knowledge and data loops, life-cycle, maintenance optimization, product population
National Category
Reliability and Maintenance
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-9992 (URN)
Conference
Comadem 2014
Funder
Knowledge Foundation, 20120066
Available from: 2014-09-22 Created: 2014-09-22 Last updated: 2018-05-30Bibliographically approved
Fornlöf, V., Sandberg, U., Syberfeldt, A. & Almgren, T. (2014). More reliable aircraft engine maintenance optimization by a classification framework for on-condition parts. In: Proceedings of the 6th Swedish Production Symposium, SPS14, Gothenburg, Sweden: . Paper presented at 6th Swedish Production Symposium, SPS14, September 16-18, 2014, Gothenburg, Sweden. Chalmers
Open this publication in new window or tab >>More reliable aircraft engine maintenance optimization by a classification framework for on-condition parts
2014 (English)In: Proceedings of the 6th Swedish Production Symposium, SPS14, Gothenburg, Sweden, Chalmers , 2014Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Chalmers, 2014
Keywords
Aircraft engine maintenance, maintenance optimization, on-conditions parts, estimation of remaining life, real world case study
National Category
Other Mechanical Engineering
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-10355 (URN)
Conference
6th Swedish Production Symposium, SPS14, September 16-18, 2014, Gothenburg, Sweden
Funder
Knowledge Foundation
Available from: 2014-12-05 Created: 2014-12-05 Last updated: 2018-03-29Bibliographically approved
Schmidt, B., Sandberg, U. & Wang, L. (2014). Next Generation Condition Based Predictive Maintenance. In: Johan Stahre, Björn Johansson, Mats Björkman (Ed.), Proceedings of The 6th International Swedish Production Symposium 2014: . Paper presented at The 6th International Swedish Production Symposium 2014 16-18 September 2014.
Open this publication in new window or tab >>Next Generation Condition Based Predictive Maintenance
2014 (English)In: Proceedings of The 6th International Swedish Production Symposium 2014 / [ed] Johan Stahre, Björn Johansson, Mats Björkman, 2014Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and make decisions upon this prediction. The main aim of the presented research is to achieve an improvement in condition based Predictive Maintenance through the Cloud-based approach with usage of the largest information content possible. The objective of this paper is to outline the first steps of a framework to handle and process maintenance, production and factory related data from the first life-cycle phase to the operation and maintenance phase.

Keywords
predictive maintenance, prognosis, cloud-based maintenance
National Category
Reliability and Maintenance
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-9988 (URN)978-91-980974-1-2 (ISBN)
Conference
The 6th International Swedish Production Symposium 2014 16-18 September 2014
Available from: 2014-09-22 Created: 2014-09-22 Last updated: 2018-05-08Bibliographically approved
Sandberg, U. (2013). How an enlarged maintenance function affects the performance of industrial maintenance and maintenance services. International Journal of Strategic Engineering Asset Management (IJSEAM), 1(3), 265-275
Open this publication in new window or tab >>How an enlarged maintenance function affects the performance of industrial maintenance and maintenance services
2013 (English)In: International Journal of Strategic Engineering Asset Management (IJSEAM), ISSN 1759-9733, E-ISSN 1759-9741, Vol. 1, no 3, p. 265-275Article in journal (Refereed) Published
Abstract [en]

Today, many companies struggle with maintenance work established by pre–requisites during installation, start–up and use of plants, systems and machines. In search for improvements in existing maintenance organisations, it is easy to conclude that they look like and is a direct consequence of previous engineering decisions and activities. Maintenance work, however, only exists in the operation phase with weak coupling to what created it. Using an empirical knowledge base, several examples of this narrow view on maintenance is given along with the consequences it results in today. By linking together activities in the establishment life–cycle phase with the operation phase it is shown how an enlarged maintenance function could improve the situation. Using references to the leading actors creating the frontier today it is illustrated where most companies could be tomorrow. The paper hopefully will contribute to how maintenance processes and activities are being designed, set–up and carried out.

Place, publisher, year, edition, pages
Olney: InderScience Publishers, 2013
Keywords
maintenance improvement, maintenance performance, maintenance services, maintenance processes, product performance, product knowledge, life–cycle phase, operation phase, maintenance function enlargement
National Category
Reliability and Maintenance
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-8663 (URN)10.1504/IJSEAM.2013.056323 (DOI)
Available from: 2013-12-02 Created: 2013-12-02 Last updated: 2017-12-06Bibliographically approved
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