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dc.contributor.advisorSchjølberg, Per
dc.contributor.advisorVatn, Jørn
dc.contributor.authorRødseth, Harald
dc.date.accessioned2017-10-16T11:46:19Z
dc.date.available2017-10-16T11:46:19Z
dc.date.issued2017
dc.identifier.isbn978-82-326-2623-6
dc.identifier.issn1503-8181
dc.identifier.urihttp://hdl.handle.net/11250/2460297
dc.description.abstractThe increased level of complexity in production and global competition demands a reliable plant capacity. To achieve this, it is of vital importance to integrate maintenance with production planning. This PhD research develops new concepts denoted as integrated planning (IPL). In particular, sound key performance indicators (KPIs) are developed for maintenance planning. The KPIs will communicate between maintenance planning and production planning through an interaction mechanism to the environmental system which is production planning. In this thesis the overall scientific objective is develop theory and methods in IPL that balance maintenance management with other priorities related to physical assets. The main objective has been decomposed into five research objectives: 1. identify and evaluate existing models for maintenance planning strategies; 2. develop a framework for IPL; 3. evaluate and structure existing maintenance KPIs for IPL; 4. further develop KPIs applied for IPL; and, 5. demonstrate and evaluate the KPIs in the IPL framework. The contributions to science are: - identification and evaluation of the Deming cycle and static indirect maintenance grouping to be sound strategies in maintenance planning and suitable for further development towards IPL; - semi-static maintenance strategy applied as a maintenance optimisation strategy in IPL; - a framework for IPL; - a framework for structuring KPIs; evaluation of overall equipment effectiveness (OEE) and maintenance backlog as two appropriate indicators for IPL; - evaluation of the hidden factory and the need for developing the profit loss indicator (PLI); - development of the KPIs maintenance backlog and PLI; and, - demonstration of KPIs in different industrial contexts. The contributions to practice apply to several sectors and industry branches. Through their industrial challenges it was possible to demonstrate KPI frameworks and PLI. This should in future contribute to reduced minor stoppages, downtime, defects, and revenue losses. My proposal for further research in this field is modelling and development of the existing theory in IPL. There is also a need for conducting more testing in industrial cases in an attempt to bridge the gap between theory and practice. The 5C model for cyber-physical systems seems promising as a further direction after implementing PLI.nb_NO
dc.language.isoengnb_NO
dc.publisherNTNUnb_NO
dc.relation.ispartofseriesDoctoral theses at NTNU;2017:277
dc.relation.haspartPaper 1: Rødseth, Harald. Maintenance Optimisation for Integrated Planning. I: Safety, reliability and risk analysis : beyond the horizon : proceedings of the European Safety and Reliability Conference, ESREL 2013, s. 651-657 - Is not included due to copyright available at https://www.taylorfrancis.com/books/9781315815596
dc.relation.haspartPaper 2: Rødseth, Harald; Schjølberg, Per. Integrated Planning - A novel concept for maintenance management. EuroMaintenance 2014
dc.relation.haspartPaper 3: Rødseth, Harald; Mo, Brage. Integrated Planning in autonomous shipping - Application of maintenance management and KPIs. 10th World Congress on Engineering Asset Management; 2015 - Is not included due to copyright available at https://doi.org/10.1007/978-3-319-27064-7_48
dc.relation.haspartPaper 4: Rødseth, Harald; Langeland, Camilla; Myklebust, Odd. Integrated Key Performance Indicators - A Tool for Smarter Decision Making. I: Proceedings of IWAMA 2012 - The Second International Workshop of Advanced Manufacturing and Automation. s. 259-266
dc.relation.haspartPaper 5: Rødseth, Harald; Strandhagen, Jan Ola; Schjølberg, Per. Key Performance Indicators for Integrating Maintenance Management and Manufacturing Planning and Control. I: Advances in production management systems : innovative production management towards sustainable growth : IFIP WG 5.7 International Conference, APMS 2015 Proceedings, Part I. s. 70-77, - Is not included due to copyright available at https://doi.org/10.1007/978-3-319-22756-6_9
dc.relation.haspartPaper 6: Rødseth, Harald; Schjølberg, Per. The Importance of Asset Management and Hidden Factory for Integrated Planning. Advanced Materials Research 2014 ;Volum 1039. s. 577-584, - Is not included due to copyright available at https://doi.org/10.4028/www.scientific.net/AMR.1039.577
dc.relation.haspartPaper 7: Rødseth, Harald; Schjølberg, Per. Maintenance backlog for improving integrated planning. Journal of Quality in Maintenance Engineering 2017 ;Volum 23.(2) s. 195-225 https://doi.org/10.1108/JQME-01-2016-0002
dc.relation.haspartPaper 8: Rødseth, Harald; Skarlo, Terje; Schjølberg, Per. Profit loss indicator: A novel maintenance indicator applied for integrated planning. Advances in Manufacturing 2015 ;Volum 3.(2) s. 139-150 - Is not included due to copyright available at https://doi.org/10.1007/s40436-015-0113-6
dc.relation.haspartPaper 9: Rødseth, Harald; Schjølberg, Per; Kirknes, Martin; Bernhardsen, Thor Inge. Increased Profit and Technical Condition through new KPIs in Maintenance Management. 10th World Congress on Engineering Asset Management; 2015 - Is not included due to copyright available at https://doi.org/10.1007/978-3-319-27064-7_49
dc.relation.haspartPaper 10: Rødseth, Harald; Andersen, Bjørn. Early Warning Indicators for Integrated Planning. PMA Australasia 2013 – Regional Differences v Global Mandates; 2013
dc.relation.haspartPaper 11: Rødseth, Harald; Myklebust, Odd; Eleftheriadis, Ragnhild; Schjølberg, Per. Improving maintenance by profit indicators. I: Advanced Manufacturing and Automation V. WIT Press 2016 ISBN 978-1-78466-169-4. s. 312-319
dc.relation.haspartPaper 12: Rødseth, Harald; Schjølberg, Per. Data-driven Predictive Maintenance for Green Manufacturing. I: Advanced Manufacturing and Automation VI. Atlantis Press 2016 ISBN 978-94-6252-243-5. s. 36-41 Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) http://doi.org/10.2991/iwama-16.2016.7
dc.titleDevelopment of Indicators for Maintenance Management within Integrated Planningnb_NO
dc.typeDoctoral thesisnb_NO
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570::Production and maintenance engineering: 572nb_NO
dc.description.localcodeDigital fulltext not availablenb_NO


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