Relevant bibliographies by topics / Maintenance indicators

Academic literature on the topic 'Maintenance indicators'

Author: Grafiati
Published: 19 August 2021
Last updated: 1 February 2022

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Maintenance indicators":

1

Stefanovic, Miladin, Snezana Nestic, Aleksandar Djordjevic, Dusan Djurovic, Ivan Macuzic, Danijela Tadic, and Marija Gacic. "An assessment of maintenance performance indicators using the fuzzy sets approach and genetic algorithms." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 1 (August 6, 2016): 15–27. http://dx.doi.org/10.1177/0954405415572641.

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In this article, a novel approach for assessment and ranking of maintenance process indicators as well as maintenance cost indicators and maintenance equipment indicators using the fuzzy sets approach and genetic algorithms is presented. Weight values of these indicators are defined using the experience of decision makers from analyzed small and medium enterprises (total number of 197 persons) and calculated using the fuzzy sets approach. In the second step, a model for ranking and optimization of maintenance performance indicators and small and medium enterprises by using genetic algorithm is presented. The presented approach enables multi-objective optimization of selected key performance indicators in the scope of optimization of maintenance performances. The value of optimization was tested on a group of small and medium enterprises which proved that improvement of maintenance performance could be more significant (or performed at the shorter period of time) if the specific key performance indicators were targeted for improvement. The presented solution could provide identification of strengths and weaknesses (comparing key performance indicators), learning from a leading organization (in prioritization of key performance indicator improvement) and improvement of maintenance performance.
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OKUDA, Satoshi, Tadashi WATANABE, Takahiro TANAKA, Tomohiro HIRAIKE, and Akiyoshi KATANO. "SOUNDNESS INDICATORS FOR SANDY BEACH MAINTENANCE." Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 73, no. 2 (2017): I_1567—I_1572. http://dx.doi.org/10.2208/kaigan.73.i_1567.

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Rahulin, S. V., A. N. Sharabaiko, and I. O. Syroizhka. "ANALYSIS OF QUALITY INDICATORS OF AIRCRAFT MAINTENANCE." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 6, no. 1 (2019): 7–15. http://dx.doi.org/10.32838/2663-5941/2019.6-1/02.

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Pascal, Vrignat, Aggab Toufik, Avila Manuel, Duculty Florent, and Kratz Frédéric. "Improvement indicators for Total Productive Maintenance policy." Control Engineering Practice 82 (January 2019): 86–96. http://dx.doi.org/10.1016/j.conengprac.2018.09.019.

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Zadhoosh, Mohammad, and Amir Afshin Fattahi. "Simultaneous effect of RCM key indicators, related to equipment lifecycle for maintenance strategies (in production systems)." International Journal of Engineering & Technology 4, no. 3 (July 25, 2015): 439. http://dx.doi.org/10.14419/ijet.v4i3.4006.

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In the modern industrial world, effective role of maintenance activities in the survival of organizations and enhancing their productivity is undeniable.Variety of equipments in the industrial organizations and their exclusivities in terms of longevity and failures modes, clear the importance of choosing a strategy for the maintenance of any equipment. Thus, knowing the type of the failure is so important for maintenance manager and engineers.Important introduced indicators in this domain such as indicator of reliability, MTBF and MTTR can be used to predicting and detecting approximate failure time and analyzing life cycle status.On the other hand, due to fluctuating time of system availability because of work continuity and loss of a performance indicator, by combining RCM indicators and Overall Equipment Effectiveness (OEE) indicator the most compatible strategy could be chosen. The aim of this article which differs from other studies in this field is to apply a composed indicator, including different parameters of RCM, which is obtained based on the equipment life status.
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Shohet, Igal M. "Key Performance Indicators for Strategic Healthcare Facilities Maintenance." Journal of Construction Engineering and Management 132, no. 4 (April 2006): 345–52. http://dx.doi.org/10.1061/(asce)0733-9364(2006)132:4(345).

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Stenström, Christer, Aditya Parida, Uday Kumar, and Diego Galar. "Performance indicators and terminology for value driven maintenance." Journal of Quality in Maintenance Engineering 19, no. 3 (August 9, 2013): 222–32. http://dx.doi.org/10.1108/jqme-05-2013-0024.

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Fotovatfard, Armaghan, and Gholamreza Heravi. "Identifying key performance indicators for healthcare facilities maintenance." Journal of Building Engineering 42 (October 2021): 102838. http://dx.doi.org/10.1016/j.jobe.2021.102838.

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de Jong, Stephan J., and Wouter W. A. Beelaerts van Blokland. "Measuring lean implementation for maintenance service companies." International Journal of Lean Six Sigma 7, no. 1 (March 7, 2016): 35–61. http://dx.doi.org/10.1108/ijlss-12-2014-0039.

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Purpose – Implementation of lean manufacturing is currently performed in the production industry; however, for the airline maintenance service industry, it is still in its infancy. Indicators such as work in process, cycle time, on-time performance and inventory are useful indicators to measure lean implementation; however, a financial economic perspective taking fixed assets into consideration is still missing. Hence, the purpose of this paper is to propose a method to measure lean implementation from a fixed asset perspective for this type of industry. With the indicators, continuous improvement scenarios can be explored by value stream discrete event simulation. Design/methodology/approach – From literature, indicators regarding asset specificity to measure lean implementation are found. These indicators are analysed by a linear least square method to know if variables are interrelated to form a preliminary model. The indicators are tested by value stream-based discrete event simulation regarding continuous improvement scenarios. Findings – With the new found lean transaction cost efficiency indicators, namely, turnover, gross margin and inventory pre-fixed asset (T/FA, GM/FA and I/FA, respectively), it is possible to measure operation performance from an asset specificity perspective under the influence of lean implementation. Secondly, the results of implementing continuous improvement scenarios are measured with the new indicators by a discrete event simulation. Research limitations/implications – This research is limited to the airline maintenance, repair and overhaul (MRO) service industry regarding component repair. Further research is necessary to test the indicators regarding other airline MRO service companies and other sectors of complex service industries like health care. Practical implications – The lean transaction cost efficiency model provides the capability for a maintenance service company to simulate the effects of process improvements on operation performance for service-based companies prior to implementation. Social/implications – Simulation of a Greenfield process can involve employees with possible changes in processes. This approach supports the adoption of anticipated changes. Originality/value – The found indicators form a preliminary model, which contributes to the usage and linkage of theories on lean manufacturing and transaction cost theory – asset specificity.
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Zhang, Ke Wei. "Design for Enterprise Asset Management Evaluation System of Power Generation Enterprises Based on KPI." Advanced Materials Research 694-697 (May 2013): 3401–5. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3401.

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Design for enterprise asset management (EAM) evaluation system of power generation enterprises based on key performance indicator (KPI) is proposed according to application of enterprise asset management system in power generation enterprises. KPIs preparations for implementation, goals and design principles are discussed. KPI-based EAM indicators of power generation enterprises are divided into operation management indicators, maintenance management indicators and materials management indicators in three parts. Finally benchmarking management analysis, comparative analysis of time trends and horizontal comparative analysis are used to analyze and evaluate the indicators.
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Maintenance indicators":

1

Hailemariam, Matias. "Business Driven Maintenance Strategy Development with Performance Indicators." Thesis, Växjö University, School of Technology and Design, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-5564.

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The overall target of the maintenance management system is to improve the role of a maintenance organization in positively impacting production capacity, products quality, safety and also overall production cost. In the course of ensuring the above mentioned benefits, the maintenance system should be designed under an umbrella of appropriate strategy that is developed in line with the company’s major business objectives.

The thesis work is focused on developing a model that assist the design of a maintenance strategy which is linked with the company’s major business objectives. And for this the balanced score card approach is utilized. Then the model’s application is tested in a case company with the general procedures described below.

The business requirements by the customers, which are translated to business objectives of the case company, were used as starting points. Then the production performance indicators were checked for their effectiveness in addressing the business objectives of the company. After this, a maintenance strategy with approaches to address the business objectives of the company, which are expressed by the production performance indicators, was developed with potential maintenance performance indicators.

The result showed that the different elements incorporated in the model developed are appropriate in linking the maintenance activities with the company’s business objectives as can be observed from the analysis made on the case company.

2

Uliczka, Helen. "Forest biodiversity maintenance : instruments and indicators in the policy implementation /." Uppsala : Dept. of Conservation Biology, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s291.pdf.

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Åhreʹn, Thomas. "A study of maintenance performance indicators for the Swedish railroad system /." Luleå : Luleå University of Technology, 2005. http://epubl.luth.se/1402-1757/2005/047.

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Åhrén, Thomas. "Maintenance performance indicators (MPIs) for railway infrastructure : identification and analysis for improvement /." Luleå : Division of Operation and Maintenance Engineering, Department of Civil, Mining and Environmental Engineering, Luleå University of Technology, 2008. http://epubl.ltu.se/1402-1544/2008/19/.

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Åhrén, Thomas. "Maintenance performance indicators (MPIs) for railway infrastructure : identification and analysis for improvement." Doctoral thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-16852.

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With increasing awareness that maintenance not only ensures safety and track performance, but also creates additional value in the business process; many infrastructure managers and owners are treating maintenance as an integral part of the business process. This is also true for the Banverket (Swedish National Rail Administration). One key issue for Banverket is to verify that the undertaken maintenance activities provides expected results, measured through maintenance performance indicators (MPI) related to technical, economical, and organizational issues. It is also necessary to classify the degree of effect for every single MPI, i.e. to create a logical cause-and-effect structure. The main purpose of this research work is to identify and study the existing operation and maintenance performance indicators related to railway infrastructure, their application in short term and long-term perspective to analyse their usefulness for operation and maintenance planning of the railway infrastructure. Furthermore, the study is to find a structured, reliable, and cost effective method using maintenance performance indicators (MPI) such as OEE-values to facilitate the operation and maintenance decision making process both in short term and long term perspective for the railway infrastructure management. A study at Banverket shows that 10 MPIs out of 17 identified ones are in use, where eight of them match the MPIs identified through the documents and two additional ones identified through interviews. Two conducted case studies at Banverket and Jernbaneverket, the Norwegian rail administration, shows that it is possible to quantify and benchmark MPIs between different countries. The comparison from the Iron Ore Line between Kiruna and Narvik indicated more or less the same rail and track related maintenance costs per track kilometre in Norway as in Sweden. The overhead cost per track kilometre results in 12 times higher costs for Jernbaneverket due to different track length in Norway and Sweden, though the number of employees in the infrastructure manager organization work force was the same in both countries. A case study evaluating technical and financial aspects of grinding campaigns on the track section between Kiruna and Riksgränsen shows that the grinding campaign postpone major rail replacements activities into the future. The yearly cost for grinding and renewal is an example of an aggregated MPI that can be used for future follow-ups and benchmarking. The grinding campaign itself seems not to affect the total system in a negative way. One important issue for the infrastructure manager is to focus on the overall railway infrastructure effectiveness. A model for calculating the overall railway infrastructure effectiveness (ORIE) is presented in this thesis. Performed case studies on three track sections shows similar ORIE figures that are significantly higher than the industry OEE, which is required for a punctual railway transportation system. The study indicates that ORIE must be calculated on a monthly basis. The findings of the ORIE and calculation are 89.7 - 100% ORIE values. The findings indicate that ORIE can be used as a key performance indicator by the railway infrastructure manager. It is also visualized that ORIE can provide important input and support in decision making for the infrastructure managers. A railway infrastructure maintenance link and effect model (LinkEM), that supports the overall objectives and focuses on critical strategic areas determined by the nature of the railway industry and public requirements and regulations is suggested. To conclude, in this research study relevant MPIs for effective management of operation and maintenance of the railway infrastructure are identified and analyzed. Further, models like LinkEM and ORIE are suggested for the railway infrastructure managers to facilitate in the decision-making.
Infrastrukturförvaltare av järnväg ser idag underhåll som en värdeskapande och integrerad del av hela förvaltningsverksamheten för att uppfylla kundernas krav och förväntningar. En central uppgift för Banverket är att verifiera att genomförda underhållsåtgärder ger önskat resultat ur tekniska, ekonomiska och organisatoriska perspektiv. Ett sätt att mäta detta är att använda underhållsrelaterade indikatorer (MPIs, maintenance performance indicators). Det är därför viktigt att dessa indikatorer förmår koppla och visa effekter av genomförda underhållsaktiviteter, dvs. förmår visa underhållsrelaterade orsak-verkansamband.En studie genomförd på Banverket visar att utav 17 identifierade MPIs så används 10 stycken. Åtta av dessa är identifierade i Banverkets egna dokument medan de två övriga är identifierade genom intervjuer. Två genomförda studier på Banverket och Jernbaneverket visar att det är möjligt att kvantifiera och jämföra MPIs mellan olika länder med hjälp utav benchmarking. Jämförelsen visar att underhållskostnaderna per spårmeter är ungefärligen lika stora på svensk och norsk sida för Malmbanan. En liknande jämförelse av overheadkostnaderna visar att kostnaderna på den norska sidan är ungefär 12 gånger högre per spårmeter räknat. En jämförelse av organisationernas storlek till antalet anställda visar dock att de är ungefärligen jämstora. En teknisk och ekonomisk utvärdering av genomförda rälsslipningskampanjer på sträckan mellan Kiruna och Riksgränsen visar att rälsslipning kan fördröja behovet av utbyte av räl. Den årliga kostnaden för rälsbyte är ett exempel på MPIs som kan användas för uppföljning och benchmarking. Genomförda rälsslipningskampanjer ser inte ut att påverka järnvägssystemet som helhet på något negativt sätt. En viktig fråga för infrastrukturförvaltare av järnväg är att kunna mäta järnvägssystemets effektivitet. En modell för att kunna mäta just detta presenteras i denna avhandling, dvs en så kallad ORIE-modell (overall railway infrastructure effectiveness eller infrastruktureffektivitet för järnväg) Genomförda studier och simulering på bandelsnivå visar på höga och jämförbara ORIE-värden för de olika bandelarna, vilka för övrigt är påtagligt högre än för motsvarande OEE-värden för exempelvis tillverkande industri. Studien påvisar att ORIE-värdena bör beräknas per månad och att de kan användas som MPIs. Resultaten visar på ORIE-värden mellan 89,7 - 100 %. ORIE-värden kan därmed utgöra ett bra beslutsstöd för järnvägens infrastrukturförvaltare. Ett förslag på en länk- och effektmodell för järnvägsinfrastruktur vilken stödjer övergripande mål för verksamheten och som fokuserar på strategiska områden utifrån järnvägens förutsättningar presenteras i denna avhandling. Sammanfattningsvis så har denna studie identifierat ett antal MPIs som används av infrastrukturförvaltare av järnväg. Koncept och modeller såsom LinkEM, ORIE och benchmarking har applicerats på och genererat resultat användbara för infrastrukturförvaltare av järnväg.
Godkänd; 2008; 20080416 (ysko)
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Arif, Safin. "Utveckling av Key Performance Indicators genom underhållstrategi för processindustrin." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-46693.

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Följande avhandlingsarbete har utförts som en fallstudie på BillerudKorsnäs tillsammans med en litteraturstudie som har gett upphov till den teoretiska referensram som grundläggande lagt grunden för mätstrukturen Key Performance Indicators (KPI) utformad för underhållsorganisationen. Vidare har datainsamling i form av intern och extern benchmarking tillsammans med dokumentstudier, semistrukturerade intervjuer och strukturerade observationer genomförts för att få en fullständig redogörelse för den aktuella situationen i enlighet med riktlinjerna för examensarbete på högskolenivå. Examensarbetet täcker ämnet för underhållsteknik och syftar till att kartlägga underhållsstrategin för att kunna utforma en Key Performance Indikator (KPI: s) mätstruktur för BillerudKorsnäs. Examensarbetet ger därefter upphov till analysavsnittet som med stöd av den teoretiska referensramen redogör för det förbättringsförslag och framtida rekommendationer att belysa för ett underhåll och driftsäkerhet i världsklass. Studien framställer underhållsverksamheten med utgångspunkt från svensk standard och en ledande och eftersläpande mätetalsstruktur som vetenskapligt underlag. Detta har resulterat i en tydligt definierat underhållsstrategi med nyckeltalsprestationer för en underhållsorganisation där underhållstrategin är kopplad till företagets vision och strategi. Frågeställningen som är kopplad till problemformuleringen genomsyrar arbetet och handlar om att redogöra för hur man kan anknyta till underhållstrategin och redogöra för vilka KPI:er som skall redovisas, för att skapa en effektiv och produktiv underhållsverksamhet som arbetar i enlighet med de mål man satt upp på BillerudKorsnäs- Sulfatfabrik. Resultatet från det bedrivna arbetet visar att KPI-strukturen inte är i enlighet med den underhållstrategi BillerudKorsnäs på koncernnivå fastställt, vidare så påvisar nyckeltalen inte ett effektmätetal relevant för underhållsverksamheten och fabriksledningen. Genom förbättringsförslaget som föreslås tas en ny KPI-struktur fram som ger en mätbarhet till underhållsverksamheten och är kopplad till BillerudKorsnäs vision och strategi för ”Bästa arbetsätt” inom underhåll och driftsäkerhet i världsklass.
The following thesis work has been carried out as a case study at BillerudKorsnäs together with a literature study which has given rise to the theoretical frame of reference which fundamentally laid the foundation for the Key Performance Indicators (KPI’s) measurement structure designed for the company. Furthermore, data collection in the form of internal and external benchmarking together with document studies, semi-structured interviews and structured observations has been carried out in order to get a complete view of the current situation as possible in accordance with the guidelines for scientific research approach. The research covers the subject area of ​​maintenance technology and aims to map the maintenance strategy to be able to design a (KPI’s) measurement structure for BillerudKorsnäs maintenance organization. The thesis then gives rise to the analysis section which, with the support of the theoretical frame of reference, describes the improvement proposals and future recommendations to elucidate world-class maintenance and reliability. The study presents maintenance operations based on Swedish standards and “leading and lagging” measurement structure as a scientific basis. This has resulted in a defined metric structure with key performance measures for a maintenance organization where the maintenance strategy is connected to the company's vision and strategy. The question linked to the problem formulation permeates the research and is about explaining how to link to the maintenance strategy and describing which KPIs are to be reported, in order to create an efficient and productive maintenance organization that functions in accordance to the maintenance goals set on BillerudKorsnäs- Sulfatfabrik. The results of the conducted research show that the KPI- structure has not been established in accordance with BillerudKorsnäs' maintenance strategy at a cooperation level, furthermore, the key figures do not show an effect metric relevant to the maintenance operations and the factory management. The proposed improvement proposal proposes a new KPI- structure that provides measurability to the industrial maintenance operation and is symmetrical with BillerudKorsnäs vision and strategy for "Best working methods" in world-class maintenance and reliability.
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Powell, Matthew J. "The Effects of consolidating F-16 phase and cannibalization aircraft on key maintenance indicators." Fort Leavenworth, KS : US Army Command and General Staff College, 2007. http://handle.dtic.mil/100.2/ADA471512.

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Thesis (M. of Military Art and Science)--U.S. Army Command and General Staff College, 2007.
The original document contains color images. Title from title page of PDF document (viewed on May 27, 2008). Includes bibliographic references.
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Alhouli, Yousef Mohammed. "Development of ship maintenance performance measurement framework to assess the decision making process to optimise in ship maintenance planning." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/development-of-ship-maintenance-performance-measurement-framework-to-assess-the-decision-making-process-to-optimise-in-ship-maintenance-planning(3056c2a2-7301-4223-990c-e23432b550bb).html.

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Effective maintenance planning is essential and important in any organisation that is responsible for procuring and managing complex assets. In the marine shipping industry maintenance planning is very significant due to its complexity and the obligations on shipping organisations to comply with certain regulations and requirements. Moreover, improper planning can reduce the ship's availability, which may in turn, be reflected in the revenue of the company. Another issue that requires attention in this field is the cost of maintenance, since improper or inadequate planning could result in breakdowns that could increase the cost of maintenance.This research aims to identify the key factors that affect ship maintenance planning and to provide a framework that can help the decision maker to identify and choose optimum decisions regarding ship maintenance. The research is divided into four stages in order to achieve its objectives and to address the research problem.The first stage is the review of the literature to identify the need for maintenance and to select the key factors that affect maintenance planning. The findings indicate that: maintenance scheduling, selection of maintenance strategy, ship construction, crew compensation, and shipyard selection are the most important factors.The second stage is to evaluate maintenance performance measurements for the marine shipping industry by conducting case study and interviews with professionals involved in the mercantile industry. Semi-structured interviews were conducted with six senior staff experts from three different organisations. The results show that: dry docking scheduling, maintenance costs and budgets, customer satisfaction, employees' satisfaction, classification requirements, and the ship's maintenance requirements are the main factors that have great influence on maintenance planning.The third stage is to develop new methodology to measure the maintenance performance in the marine shipping organisation which is the ship maintenance performance measurement (SMPM) framework. The developed method was validated to assist managers in making the right decisions in ship maintenance planning. The framework was developed based on ten thematic criteria that can be used as indicators for potential organisation growth, i.e., maintenance strategy; dry docking scheduling; budget and costs; the ship's equipment; customer satisfaction; employees; health, safety and environment; learning and growth; classification requirements; and the ship's operation and demands requirements. Interviews were conducted with key personnel from the Kuwait Oil Tanker Company (KOTC) to validate the framework.The fourth stage demonstrates that an optimised schedule for the dry docking of ships for routine maintenance has been constructed. This is accomplished on the basis of one measured criterion, dry docking scheduling, by using an integer programming model to maximise the ship's availability within the company fleet. The model is defined by three constraints: the maintenance window, maintenance completion, and the ship's limit. The model was validated using data from KOTC, and the results depict an optimum solution for maintenance scheduling, maximising the ship's availability to 100% and not less than 92%.
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Campbell, William W. III. "A COMPARISON OF QUALITY INDICATORS BETWEEN MEDICARE ACCOUNTABLE CARE ORGANIZATIONS AND HEALTH MAINTENANCE ORGANIZATIONS USING PUBLICLY AVAILABLE DATA." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5284.

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The purpose of this study is to explore differences in quality between Medicare Accountable Care Organizations (ACO) and Health Maintenance Organizations (HMO). Three outcomes measures reported by these plans use different methodologies but possess enough alignment to permit comparison: percent of diabetic patients with last HbA1c > 9.0%, colon cancer screening rate and ER visits per 1,000. These outcomes are the dependent variables (DV). A secondary purpose is to explore differences in quality based on the size of the beneficiary population served, using the same measures. As the Medicare program faces threats to its solvency in coming decades, with 10,000 baby boomers becoming eligible every day, and the ongoing national conversation about healthcare more generally, approaches to Value-Based Purchasing (VBP) are becoming more common. Organizations seeking to identify the types of VBP arrangements in which they should enter have precious little information on the comparative performance of VBP approaches relative to outcomes measures. Different structures create different incentives through the plan design and risk/reward. The convergence or dissipation of the plan incentives at the level of the provider, particularly in primary care, may be a source of variance. This study is retrospective, non-experimental, and uses publicly available data on the performance of Medicare ACO and HMO plans in calendar year 2015, for the identified measures. Using the Donabedian Structure-Process-Outcome framework, this study explores the impact of structure by type of plan and size of population served, relative to the outcomes. Race, average Hierarchical Condition Category (HCC) risk score and duration of operations are control variables. The analysis uses multiple hierarchical regression to better understand the relationship between the independent variables (IV) and DVs, after the impact of the control variables (CV). After controls, the IVs did offer some explanation of variation in outcomes. The ACO plans fared better on HbA1c control, while HMO plans had fewer ER visits per 1,000. No discernable difference existed between the HMO and ACO plans with regard to colon cancer screening rate. Serving larger populations led to better performance on all three measures. In general performance was worse on each measure in both models when the percent of not-White patients or average HCC risk score increased. A longer duration of operations also associated to better performance on the outcome measures.
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Riccetti, Sauro. "Design of equipment safety & reliability for an aseptic liquid food packaging line through maintenance engineering." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5301.

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The organisation of maintenance, in the Aseptic Liquid Food (ALF) industry, represents an important management task that enables a company to pursue higher manufacturing effectiveness and improved market share. This research is concerned with the process to design and implement maintenance tasks. These two complementary processes (design and implementation) have been thought and designed to answer the particular needs of food industry regarding product safety and equipment reliability. Numerous maintenance engineering researchers have focused on maintenance engineering and reliability techniques highlighting the contribution of maintenance in achieving world class manufacturing and competitive advantage. Their outcome emphasizes that maintenance is not a “necessary evil” because of costs associated, but it can be considered an “investment” that produces an added value which generates a real company profit. The existing maintenance engineering techniques pursue equipment reliability at minimum cost; but in food industry, food safety represents the most critical issue to address and solve. The research methodology chosen is based on case studies coming from ALF industries. These show that low maintenance effectiveness could have dramatic effects on final consumers and on the company’s image and underline the need of a maintenance design and implementation process that takes into consideration all critical factors relevant to liquid food industry. The analysis of measurable indicators available, represents a tool necessary to show the status of critical performance indicators and reveals the urgency of a research necessary to address and solve the maintenance problems in food industry. The literature review underlines the increasing regulations in place in food industry and that no literature is available to define a maintenance design and implementation process for ALF and in general for food industry. The literature review enabled also the gap existing between theory and real maintenance status, in the ALF, to be identified and the aim of the research was to explore this gap. The analysis of case studies and Key Performance Indicators (KPI’s) available highlights the problem and the literature review provides the knowledge necessary to identify the process to design and implement maintenance procedures for ALF industry. The research findings provide a useful guide to identify the process to design maintenance tasks able to put under control food safety and equipment reliability issues. Company’s restraining forces and cultural inertia, that work against new maintenance procedures, have been analysed and a maintenance implementation process have been designed to avoid losing the benefits produced by the design phase. The analysis of condition monitoring systems shows devices and techniques useful to improve product safety, equipment reliability, and then maintenance effectiveness. This research aimed to fill the gap in the existing literature showing the solution to manage both food safety and production effectiveness issues in food industry. It identifies a maintenance design process able to capture all conceivable critical factors in food industry and to provide the solution to design reliable task lists. Furthermore, the maintenance implementation process shows the way to maximize the maintenance design outcome through the empowerment of equipment operators and close cooperation with maintenance and quality specialists. The new maintenance design and implementation process represents the answer to the research problem and a reliable solution that allows the food industry to improve food safety and production effectiveness.
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Books on the topic "Maintenance indicators":

1

Miller, Charles R. Indicators of quality in maintenance. Washington, D.C: Transportation Research Board, National Research Council, 1989.

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2

Wireman, Terry. Developing performance indicators for maintenance managing. 2nd ed. New York: Industrial Press, 2005.

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Wireman, Terry. Developing performance indicators for managing maintenance. New York: Industrial Press, 1998.

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Organization, International Maritime. Code on alarms and indicators. London: International Maritime Organization, 1992.

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Organization, International Maritime. Code on alerts and indicators, 2009. 2nd ed. London: International Maritime Organization, 2010.

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Organisation for economic co-operation and development. Performance indicators for the road sector: Summary of the field tests. Paris: OECD, 2001.

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Council, Gloucestershire County. Gloucestershire local transport plan: Appendix to annual progress report 2004 : report on national core indicators and local targets : maintenance data. Gloucester: GCC, 2004.

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Volkov, Sergey. Healthy man and his environment. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1069041.

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The textbook covers modern concepts of health, factors influencing health, health risk factors, human needs and ways to meet them, and the role of nursing staff in the maintenance and promotion of health. Presents the main indicators describing the demographic situation in Russia and the world, anatomical and physiological and psychological characteristics of healthy people of different age, possible problems that could have an impact on health in different age periods. The material presented in the textbook contribute to the development of the competencies required of nursing personnel in the preservation and strengthening of health of healthy person. For students of institutions of secondary professional education in healthcare 31.02.01 "medicine", 31.02.02 "Obstetric business", 34.02.01 "Nursing".
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Office, General Accounting. Health care: Initiatives in hospital risk management : report to the Honorable Ron Wyden, House of Representatives. Washington, D.C: The Office, 1989.

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Office, General Accounting. Health care: Children's medical services programs in 10 states : report to the chairman, Committee on Finance, U.S. Senate. Washington, D.C: The Office, 1989.

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Book chapters on the topic "Maintenance indicators":

1

Peng, Kern. "Performance Indicators." In Equipment Management in the Post-Maintenance Era, 165–90. 2nd ed. New York: Productivity Press, 2021. http://dx.doi.org/10.4324/9781003054856-8.

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Kans, Mirka, and Anders Ingwald. "Modular-Based Framework of Key Performance Indicators Regulating Maintenance Contracts." In Lecture Notes in Mechanical Engineering, 301–10. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95711-1_30.

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Rødseth, Harald, Jan Ola Strandhagen, and Per Schjølberg. "Key Performance Indicators for Integrating Maintenance Management and Manufacturing Planning and Control." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 70–77. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22756-6_9.

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Petersen, Kai. "A Palette of Lean Indicators to Detect Waste in Software Maintenance: A Case Study." In Lecture Notes in Business Information Processing, 108–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30350-0_8.

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Raith, Chiara, Manuel Woschank, and Helmut Zsifkovits. "Automated Performance Measurement in Internal Logistics Systems." In Implementing Industry 4.0 in SMEs, 211–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70516-9_7.

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AbstractIn addition to economic and on-time order fulfillment, the monitoring of the plant performance and its related key performance indicators is a central task of logistics management and control systems. Currently, the determination and calculation of performance figures within the framework of site acceptance tests of automated logistics systems are plant-specific and, therefore, require a lot of manual effort. In this chapter, the authors develop a concept for the automated determination of performance indicators for storage and conveying systems. Based on a comprehensive literature review, structured expert interviews and including various perspectives from industrial applications the approach is designed. Further, the impact of the proposed concept on the logistics performance of the plant and the adequate selection of a maintenance strategy is discussed.
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Pivovar, Maxim, Boriss Misnevs, and Irina Pticina. "Methodology for Calculating ETL Indicators in the Process of Implementation of Aircraft Maintenance Information Systems." In Lecture Notes in Networks and Systems, 44–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44610-9_5.

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Zheng, Hui, and Xin-lu Bai. "Comprehensive Evaluation Method for the Extended Indicators of Maintenance Management Based on the Standard Deviation of Weights." In Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management 2014, 185–87. Paris: Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-102-4_39.

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Pivovar, Maxim, Liubov Rozhkova, Boriss Misnevs, and Irina Pticina. "Data Quality Indicators of ETL in the Process of Implementation of Information Systems for Aircraft Maintenance and Operation." In Lecture Notes in Networks and Systems, 130–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68476-1_12.

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Crespo Márquez, Adolfo, Antonio de la Fuente Carmona, Antonio J. Guillén López, Antonio Sola Rosique, Javier Serra Parajes, Pablo Martínez-Galán Fernández, and Juan Izquierdo. "Defining Asset Health Indicators (AHI) to Support Complex Assets Maintenance and Replacement Strategies. A Generic Procedure to Assess Assets Deterioration." In Value Based and Intelligent Asset Management, 79–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20704-5_4.

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Vrignat, Pascal, Manuel Avila, Florent Duculty, and Frédéric Kratz. "Towards a Maintenance and Servicing Indicator." In IFIP Advances in Information and Communication Technology, 113–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16358-6_15.

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Conference papers on the topic "Maintenance indicators":

1

Brundage, Michael P., K. C. Morris, Thurston Sexton, Sascha Moccozet, and Michael Hoffman. "Developing Maintenance Key Performance Indicators From Maintenance Work Order Data." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6492.

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Maintenance management for manufacturing is a crucial activity for improving productivity within a facility. Within this process, maintenance work orders (MWOs) are used when tracking and solving any maintenance–related issue. The MWOs often capture the problem, the solution, at what machine the problem occurred, who solved the problem, when the problem occurred, and other information. These MWOs are manually written by maintenance technicians, entered into a database, or recorded directly into maintenance management software. Technicians often describe or record information informally — or do not record it at all — leading to inconsistencies and/or inaccuracies in the data. This paper outlines maintenance key performance indicators (KPIs), developed using MWOs, that show why consistent and accurate data collection is important for maintenance decision making. The maintenance data, or “elements,” and their corresponding KPIs are derived from MWOs from real manufacturers (large manufacturers and small and medium enterprises). While all elements or KPIs are not recorded by every manufacturer, the guideline provided here outlines the elements necessary to calculate specific KPIs. These examples are developed to aid in common maintenance decisions.
2

Wicki, Regula, Vasiliki Malioka, and Michael Havbro Faber. "Condition Indicators for Inspection and Maintenance Planning." In Third IABMAS Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructures Systems. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40707(240)35.

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Shtern, Mark, and Vassilios Tzerpos. "Refining clustering evaluation using structure indicators." In 2009 IEEE International Conference on Software Maintenance (ICSM). IEEE, 2009. http://dx.doi.org/10.1109/icsm.2009.5306306.

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Scott, R., D. Cooke, P. Lee, and S. Forest. "Quality systems and key performance indicators." In IET Seminar on Medical Device Management - More than Maintenance. IEE, 2007. http://dx.doi.org/10.1049/ic:20070520.

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Guo, Jian, Zhaojun Li, and John Wolf. "Reliability centered preventive maintenance optimization for aircraft indicators." In 2016 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2016. http://dx.doi.org/10.1109/rams.2016.7448068.

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Eiff, Gary, Timothy Ropp, and Marifran Mattson. "Using Target Performance Indicators as a Training and Evaluation Tool." In SAE Airframe/Engine Maintenance and Repair Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/972618.

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Jannat, Gulfam, Theuns Henning, Susan Tighe, and Ningyuan Li. "Future of Management Systems: Innovative Key Performance Indicators and Analysis of Data." In Eighth International Conference on Maintenance and Rehabilitation of Pavements. Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/978-981-11-0449-7-049-cd.

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Hmood, Aseel, Mostafa Erfani, Iman Keivanloo, and Juergen Rilling. "Applying technical stock market indicators to analyze and predict the evolvability of open source projects." In 2012 IEEE International Conference on Software Maintenance (ICSM). IEEE, 2012. http://dx.doi.org/10.1109/icsm.2012.6405335.

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Valis, D., L. Zak, and J. Chaloupka. "Using oil quality indicators as system technical life characteristics and maintenance optimizers." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385596.

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Ansari, Fazel, Randitya A. Dewa, and Madjid Fathi. "Drive system assistance tool for meta-analysis of dimensioning and maintenance indicators." In IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics. IEEE, 2012. http://dx.doi.org/10.1109/iecon.2012.6389401.

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Reports on the topic "Maintenance indicators":

1

Appelbaum, Jr, and Robert J. DPEM (Depot Purchased Equipment Maintenance) Indicators. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada198835.

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Wreathall, J., J. Fragola, P. Appignani, G. Burlile, and Y. Shen. The development and evaluation of programmatic performance indicators associated with maintenance at nuclear power plants. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6927800.

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Wreathall, J., J. Fragola, P. Appignani, G. Burlile, and Y. Shen. The development and evaluation of programmatic performance indicators associated with maintenance at nuclear power plants. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6927804.

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Marcos Morezuelas, Paloma. Gender and Renewable Energy: Wind, Solar, Geothermal and Hydroelectric Energy. Inter-American Development Bank, November 2014. http://dx.doi.org/10.18235/0003068.

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This document focuses on how to incorporate a gender perspective in operations that support the construction, operation and maintenance of medium- and large-scale renewable wind, solar, geothermal and hydroelectric energy installations connected to the grid for purposes of power generation. Additionally, there is also a section on rural energy that is applicable to small installations and mini-grids, or to exceptional cases where medium- and large-scale facilities provide electricity to a community. The document (i) identifies the possible gender equality challenges and opportunities as part of the project assessment, (ii) highlights the risks and potentially negative impacts of the project on gender equality, (iii) offers recommendations for addressing, preventing and mitigating challenges and for maximizing opportunities; and (iv) presents examples of programs that have taken into account gender differences or risks. In addition, the document includes (v) key questions for analyzing gender issues in renewable energy projects, and (vi) examples of indicators for the monitoring and evaluation of operations in the renewable energy sector.
5

Butler, Kimberly S., and Jeffrey K. Griffith. The Role of Telomeric Repeat Binding Factor 1 (TRF1) in Telomere Maintenance and as a Potential Prognostic Indicator in Human Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada502830.

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Butler, Kimberly S., and Jeffrey K. Griffith. The Role of Telomeric Repeat Binding Factor 1 (TRF1) in Telomere Maintenance and as a Potential Prognostic Indicator in Human Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435804.

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Bulter, Kimberly S., and Jeffrey K. Griffith. The Role of Telomeric Repeat Binding Factor 1 (TRF1) in Telomere Maintenance and as a Potential Prognostic Indicator in Human Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada455877.

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Bulter, Kimberly S., and Jeffrey K. Griffith. The Role of Telomeric Repeat Binding Factor 1 (TRF1) in Telomere Maintenance and as a Potential Prognostic Indicator in Human Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, April 2007. http://dx.doi.org/10.21236/ada471441.

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Mazari, Mehran, Siavash F. Aval, Siddharth M. Satani, David Corona, and Joshua Garrido. Developing Guidelines for Assessing the Effectiveness of Intelligent Compaction Technology. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1923.

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Many factors affect pavement compaction quality, which can vary. Such variability may result in an additional number of passes required, extended working hours, higher energy consumption, and negative environmental impacts. The use of Intelligent Compaction (IC) technology during construction can improve the quality and longevity of pavement structures while reducing risk for contractors and project owners alike. This study develops guidelines for the implementation of IC in the compaction of pavement layers as well as performing a preliminary life-cycle cost analysis (LCCA) of IC technology compared to the conventional compaction approach. The environmental impacts of the improved construction process were quantified based on limited data available from the case studies. The LCCA performed in this study consisted of different scenarios in which the number of operating hours was evaluated to estimate the cost efficiency of the intelligent compaction technique during construction. The analyses showed a reduction in energy consumption and the production of greenhouse gas (GHG) emissions with the use of intelligent compaction. The LCCA showed that the use of IC technology may reduce the construction and maintenance costs in addition to enhancing the quality control and quality assurance (QC/QA) process. However, a more comprehensive analysis is required to fully quantify the benefits and establish more accurate performance indicators. A draft version of the preliminary guidelines for implementation of IC technology and long-term monitoring of the performance of pavement layers compacted thereby is also included in this report.

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