Relevant bibliographies by topics / Key Performance Indicators (KPI:er)

Contents

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

Academic literature on the topic 'Key Performance Indicators (KPI:er)'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Key Performance Indicators (KPI:er)"

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Bai, Chunguang, and Joseph Sarkis. "Determining and applying sustainable supplier key performance indicators." Supply Chain Management: An International Journal 19, no. 3 (May 6, 2014): 275–91. http://dx.doi.org/10.1108/scm-12-2013-0441.

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Purpose – The purpose of this paper is to introduce a methodology to identify sustainable supply chain key performance indicators (KPI) that can then be used for sustainability performance evaluation for suppliers. Design/methodology/approach – Initially the complexity of sustainable supply chain performance measurement is discussed. Then, a two-stage method utilizing neighborhood rough set theory to identify KPI and data envelopment analysis (DEA) to benchmark and evaluate relative performance using the KPI is completed. Additional analysis is performed to determine the sensitivity of the KPI set formation and performance results. Findings – The results show that KPI can be determined using neighborhood rough set, and DEA performance results provide insight into relative performance of suppliers. The supply chain sustainability performance results from both the neighborhood rough set and DEA can be quite sensitive parameters selected and sustainability KPI sets that were determined. Research limitations/implications – The data utilized in this study are illustrative and simulated. Only one model for the neighborhood rough set and DEA was utilized. Additional investigations using a variation of rough set and DEA models can be completed. Practical implications – This tool set is valuable for managers to help identify sustainable supply chain KPI (from among hundreds of potential measures) and evaluate sustainability performance of various units within supply chains, including supply chain partners, departments, projects and programs. Social implications – Sustainability incorporates many business, economic and social implications. The methods introduced in this paper can help organizations and their supply chains become more strategically and operationally sustainable. Originality/value – Few tools and techniques exist in the sustainable supply chain literature to help develop KPIs and evaluate sustainability performance of suppliers and the supply chain. This paper is one of the first that integrates neighborhood rough set and DEA to address this important sustainable supply chain performance measurement issue.
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Swiatek, Cecile. "European academic libraries Key Performance Indicators (KPI)." Performance Measurement and Metrics 20, no. 3 (November 11, 2019): 143–58. http://dx.doi.org/10.1108/pmm-08-2019-0041.

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Purpose The French academic libraries directors association (ADBU) launched and updated a European comparative study on Key Performance Indicators (KPI) in Academic Libraries over the 2013–2017 period. The purpose of this paper is to briefly present the ADBU initiative; its main focus is how to use these figures to ground decision making process, notably so as to better assess the contribution of libraries in student success or research performance. Design/methodology/approach As universities and academic libraries are facing research evolutions and teaching/learning new models, a strong increase in students’ number is observed everywhere in Europe. This trend will most probably continue in the coming years and the pressure on academic libraries will grow. That is why the French ADBU took the initiative to launch a European comparative study on key and performance indicators in Academic Libraries over the 2013–2016 period. Data were updated in 2019, covering 2017 figures and including additional countries. Findings Thanks to the European partners and the help of a consultant firm, the first observations were updated with the 2017 figures and the country scope grew broader. Libraries buildings and equipment, space and seats per student, opening days and hours, frequentation rate, library services, users training, staff per student/documentary budgets/total expenditure, staff training, documentation loans/consultation/downloads: these KPI are gathered and can be compared in both relative and absolute value. Originality/value The ADBU initiative is unique, results are widely shared.
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Alimul Karim, Abdul, Sri Gunani Partiwi, and Adithya Sudiarno. "Designing Key Performance Indicators (KPI) with macro ergonomics approach." MATEC Web of Conferences 204 (2018): 01014. http://dx.doi.org/10.1051/matecconf/201820401014.

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Some Electronic Procurement Agency (LPSE) at the level of Regional Device Work Unit (SKPD) in Indonesia is still in the development stage of its life cycle, so it needs performance improvement. Key Performance Indicator (KPI) is required to measure the performance. To undertake the development of the LPSE, a sociotechnical role is required. Sociotechnical is a concept of macro ergonomics that has a principle of balancing between social and technical in running a system. So this research aims to design KPI with macro Ergonomic approach. This research was conducted at LPSE District of Kampar, Riau, Indonesia. The stages of this research are the selection of Macro Ergonomic Sub-Attributes, Expert Selection with expertise based ranks of expert, weighting using Fuzzy (Analytical Hierarchy Process) AHP, determining the priority of sub macro ergonomic attribute using Pareto and design of KPI. The result of this research are 33 Sub-Attributes of Macro Ergonomic and prioritizing resulted 18 sub-attributes of Macro Ergonomic and result 21 KPI.
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Kusrini, Elisa, Fadrizal Novendri, and Vembri Noor Helia. "Determining key performance indicators for warehouse performance measurement – a case study in construction materials warehouse." MATEC Web of Conferences 154 (2018): 01058. http://dx.doi.org/10.1051/matecconf/201815401058.

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Warehouse performance measurement is needed to improve performance of logistics system. In order to improve warehouse performance, it is necessary to identify Key Performance Indicator (KPI). Different warehouses have different KPI, therefore this research aims to identify the most important KPI of warehouse so that warehouse manager can determine corrective actions in their warehouse efficiently and effectively. In this research, 25 KPI of warehouse are identified in five warehouse activities based on Frazelle model. The most important KPI are then determined in each warehouse activity using Analytical Hierarchy Process (AHP). Warehouse performance are measured and final score is determined using SNORM. Improvement steps are proposed base on benchmarking among warehouses. Warehouse performance measurement is conducted in 5 construction’s material warehouses located in Yogyakarta, Indonesia. From this study, it is found that most important KPI for receiving is productivity (receive per man-hour), KPI for put away is cycle time (put away cycle time), KPI for storage is utilization (% location and cube occupied), KPI for order picking is cycle time (order picking cycle time) and KPI for shipping is productivity (order prepared for shipment per man-hour). Improving warehouse performance could be done by comparing warehouse performance with the best performance among peer group.
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Siom, Firstson. "Analisis Key Performance Indikator (Studi Kasus pada PT. Asgility)." Majalah Ilmiah Bahari Jogja 18, no. 2 (August 3, 2020): 91–100. http://dx.doi.org/10.33489/mibj.v18i2.247.

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Tujuan penelitian ini menganalisis pengaruh delivery order, custom clearance, dan delivery terhadap key performance indicators (KPI) menggunakan metode korelasional pada PT. Agility sebagai freight forwarding. Pengumpulan data dengan survey. Hasilnya penerbitan delivery order tidak berpengaruh terhadap delivery, custom clearance berpengaruh langsung terhadap delivery, penerbitan delivery order berpengaruh langsung terhadap pencapaian KPI, custom clearance berpengaruh langsung terhadap pencapaian KPI, dan terakhir delivery berpengaruh langsung terhadap pencapaian KPI.
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Schulz, Thomas, and Andrei Chelaru. "Model Driven Key Performance Indicators Concepts for Manufacturing Execution Systems." Applied Mechanics and Materials 245 (December 2012): 173–78. http://dx.doi.org/10.4028/www.scientific.net/amm.245.173.

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The intention of this paper is to give some methodical approach in Key Performance Indicators for Manufacturing. Within this it covers the defining of Key Performance Indicators (KPI) and Manufacturing Execution Systems (MES). The purpose is to analyze the influences of equipment, personnel and inventory to the production process and how to apply them in making decisions. This paper gives an overview about definition of Manufacturing Execution Systems (MES) and the area of standardization of object models. The KPI for the manufacturing operations management include the areas personnel, equipment, inventory and production process. It contains also a collection of key performance indicators (KPI) to be used in the area of production control and monitoring to assess and define the targets of production processes.
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Rosyidah, Masayu, and Deni Saputra. "Penentuan Key Performance Indicators (KPI) Dengan Metode Performance Prism (Studi Kasus Program Studi Teknik Industri Universitas Muhammadiyah Palembang)." Integrasi : Jurnal Ilmiah Teknik Industri 4, no. 1 (December 10, 2019): 17. http://dx.doi.org/10.32502/js.v4i1.2094.

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Dalam dunia industri bahkan hampir seluruh perusahaan atau organisasi saat ini menggunakan Key Performance Indicators (KPI) sebagai salah satu cara untuk mengukur kinerja perusahaan. Program Studi Teknik Industri berusaha melakukan perbaikan untuk meningkatkan mutu pendidikan, disamping itu juga perlu dilakukan pengukuran kinerja sebagai usaha untuk melakukan perbaikan kinerja disetiap aspek kinerja program studi. Penelitian ini terkait penilaian kinerja Program Studi Teknik Industri Universitas Muhammadiyah Palembang dengan metode Performance Prism yang merupakan metode tepat yang dapat mewakili kebutuhannya. Tujuan dalam penelitian ini adalah menentukan KPI (Key Performance Indicators) sebagai bagian dari pengukuran kinerja. Stakeholder satisfaction yang diperoleh dari penyebaran kuesioner dan stakeholder contribution yang diperoleh dengan wawancara digunakan untuk mengidentifikasi objective Program Studi yang kemudian digunakan untuk mengidentifikasi strategi, proses, dan kapabilitas. Key Performance Indicators (KPI) Program Studi Teknik Industri yang telah terbentuk dari proses dan kapabilitas yang telah diidentifikasi adalah sebanyak 26 KPI.
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Amzat, Ismail Hussein. "Key performance indicators for excellent teachers in Malaysia." International Journal of Productivity and Performance Management 66, no. 3 (March 6, 2017): 298–319. http://dx.doi.org/10.1108/ijppm-06-2015-0094.

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Purpose The purpose of this paper is to create a key performance indicator (KPI) that can be used as the benchmark tool for teaching performance and practices of both excellent teachers (ETs) and non-ETs and to investigate the possible interrelationships between the five thinking domains (teachers’ teaching philosophy, teaching objective, pedagogical content knowledge, teachers’ expectations and management style). Design/methodology/approach This study uses a quantitative approach with a sample of 306 ETs from eight states including the Federal Territory. Exploratory factor analysis was used to validate the instrument and confirmatory factor analysis for model fit. Findings The findings showed that an excellent classroom management style was the most significant domain for KPI with the highest factor loading, followed by ETs’ teaching philosophy and objectives. It revealed that there was no significant relationship between ETs’ expectations and their classroom management style and that the relationships between the other domains were weak. Originality/value With this research creating a KPI model for excellent teaching practices, it is suggested that an in-depth review should be conducted concerning the standardization of the classroom management and the national teaching objectives in Malaysia. Perhaps representatives from the Ministry of Education and the school principals could go into the field to determine whether the excellent and non-ETs are fulfilling the national education objectives and meeting the expectations. This could lead to setting KPIs for achieving teaching objectives among the ETs.
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Dvulit, Z., A. Zaverbnyy, and R. Tylipska. "HUMAN RESOURCES MANAGEMENT BASED ON KEY PERFORMANCE INDICATORS (KPI)." Journal of Lviv Polytechnic National University. Series of Economics and Management Issues. 6, no. 3 (March 1, 2019): 90–98. http://dx.doi.org/10.23939/semi2019.03.090.

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Ivanov, V. V., Ya N. Dzhankova, and A. N. Legkonogich. "IMPROVING THE SYSTEM OF REMUNERATION OF PERSONNEL OF THE ENTERPRISE ON THE BASIS OF KPI." Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), no. 3 (October 10, 2017): 78–80. http://dx.doi.org/10.21122/1683-6065-2017-3-78-80.

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The advantages of the system of awarding of staff on key performance indicators are considered. The structure of formation of motivation on the basis of KPI. The main tasks when building a bonus system on the basis of KPI. Justification the use of key performance indicators in the enterprise is made. The scheme of construction of system of motivation of personnel KPI is proposed.
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Dissertations / Theses on the topic "Key Performance Indicators (KPI:er)"

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Melloni, Cristiana. "Ottimizzazione di un Sistema di Key Performance Indicators per la Divisione Engineering aziendale. Il caso INTERTABA S.p.A." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amslaurea.unibo.it/685/.

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Il seguente elaborato è la diretta conseguenza di un periodo di stage, pari a cinque mesi, svolto presso l’azienda INTERTABA S.p.A., a Zola Predosa (BO). Il Dipartimento presso cui è stato svolto il tirocinio è l’Engineering. In particolare è stata compiuta un’analisi dei KPIs presenti e sono state proposte delle azioni migliorative. Il lavoro si è sviluppato in tre fasi. Nella prima fase è stata fatta un’analisi dei KPIs attuali per ciascuna funzione appartenente all’Engineering: Engineering Support, Project Engineering, Plant & Utilities Maintenance, Technical Warehouse e General Services. Nella seconda fase sono state descritte, per ciascuna funzione, alcune proposte migliorative per i KPIs presenti. Infine, per alcune funzioni, sono state proposte alcune iniziative in merito all’implementazione di nuovi KPIs.
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Alrajehi, Shrouq H. "Importance of KPI identification and implementation in Kuwaiti construction industry." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/13824.

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Key Performance Indicators (KPIs) play a vital role for organizations to measure project performance. The core objective of Key Performance Indicators is that not only organizations but also customers want their projects to be completed within the stipulated time and budget while maintaining the quality standards. Performance measurement is foundation for continual improvement. Subsequently, as a regular rule, benchmarking is the next step to improve contractors’ efficiency and effectiveness of products and processes. Camp (1989) introduced benchmarking concepts and defines it as “the continuous process of measuring products, industry leaders.” It is a problem to measure the performance of large projects such as construction and communication projects using predefined KPIs. Objective of this research is to find a framework to improve project performance through benchmarking of key performance indicators, to identify the suitable KPI prevailing in the construction industry of Kuwait and develop and calculate the KPIs to assess the performance of the construction projects and making recommendations to improve project performances of construction industry. For this study two Kuwaiti construction companies are selected i.e. Company AA and Company BB. Performance of their financial and non-financial data is analyzed. Primary data is collected through questionnaires and in performance of Company BB. Data also revealed that Company BB’s are having cost and time overrun. Organizations like Company BB have to investigate reasons of cost and time delays causing dissatisfaction. Decision of material selection and delivery time should be carefully taken. Organizations should improve its employment policies from selection to compensation, working conditions, motivations and availability of health and safety facilities; as satisfied customers can satisfy customers. Subsequently, Company BB management performance needs immense improvement at all levels and in all processes. Consideration of design quality indicators (DQI) as per requirement of stakeholders and bio-diversity impacts, it is impossible to satisfy the internal or external stakeholders of construction projects. This thesis contributes useful and new knowledge to the Kuwaiti construction industry. This study reveals the importance of significant KPIs needed for the growth of medium construction organizations through benchmarking the bigger organizations. The ultimate goal of this study is to highlight the importance of KPIs to access success of medium construction organizations. Although it is believed KPIs could be used for benchmarking of bigger size organizations.
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Elzahar, Hany. "Determinants and consequences of Key Performance Indicators (KPIs) reporting by UK non-financial firms." Thesis, University of Stirling, 2013. http://hdl.handle.net/1893/19767.

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The study examines the level of quantity and quality of Key Performance Indicators (KPIs) reporting for a sample of FTSE 350 UK listed companies over the period (2006-2010). Furthermore, it identifies the determinants of KPIs reporting and investigates its impact upon firm value. Based upon the guidance of the best practice recommended by the Accounting Standard Board (2006), the study develops a measure of disclosure quality by considering the main qualitative attributes of information which, arguably, makes KPIs information more useful to stakeholders. The distinction between disclosure quantity and quality in the study enables the researcher to get greater insights into the drivers and implications of KPIs reporting quantity and quality. The study finds a variation between UK firms in the number of KPIs disclosed with a notable low level of reporting quality, especially for non-financial KPIs. It also finds that corporate governance mechanisms play an important role in improving KPIs reporting. In particular, it shows that directors’ compensations affect the quantity and quality of KPIs disclosure. Furthermore, the study provides evidence that quantity and quality of KPIs disclosure are not derived by the same factors, and both have different impacts on firm value. Whereas, the study finds a negative association between the numbers of KPIs disclosed and firm value, a non-significant relationship is reported between KPIs reporting quality and firm valuation. Overall, this study provides evidence that disclosure quantity is not a good proxy for disclosure quality.
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Andersson, Jenny. "Nyckeltal (KPI) för framgångsrika projekt : En fallstudie inom bygg- och fastighetsbranschen." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79910.

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The construction and real estate industry are project-oriented where companies success depends on individual projects performance. To determine the efficiency of operations, performance can be measured through key performance indicators (KPIs), which are metrics used to analyze, measure and compare a company’s performance. Project-oriented businesses face challenges implementing successful projects and the industry is affected by cost and time overruns, lack of quality and unmet customer requirements, which can be linked to inefficient project management and inadequate follow-up. Furthermore, companies in the industry find it difficult to identify suitable KPIs that best show changes in performance and result as well as KPIs that are linked to strategic business goals and projects. The purpose of the study was to investigate how KPIs are used in the construction and real estate industry and how management of KPIs can be developed to carry out successful projects. In order to fulfill the purpose, a case study was conducted. Initially, a literature study was performed to gain knowledge of the problem area. The data collection was qualitative where a document analysis, observations, interviews and a focus group were conducted. This resulted in an understanding of the case study company´s project operations and KPIs. The study´s method of analysis consisted of a thematic analysis and comparative study. The result indicates the importance of a long-term perspective where successful projects involve work from an early stage, which includes resource allocation and project processes where subsequent project management must include efficient communication and sharing of knowledge as well as collaboration among departments and participants. During the project process there should be an exchange of experience and knowledge in order to avoid that mistakes are repeated and to enable organizational learning. The analysis showed that there are opportunities within the case company to improve a number of factors and the current follow-up of KPIs as well as how the business’s KPIs relate to strategic business goals and success factors. There is a link between success factors, KPIs and challenges within the industry. An understanding of success factors is important in order to design KPIs that align with strategic company goals and individual projects. The result may be of interest to other project-oriented businesses and industries where increased understanding can result in efficient processes and increased motivation regarding the project process and follow up, which can result in successful projects.
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Engqvist, Markus, and Soto Karen Mori. "Defining a Process for Statistical Analysis of Vulnerability Management using KPI." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14723.

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In todays connected society, with rapidly advancing technology, there is an interest in offering technical services in our day to day life. Since these services are used to handle sensitive information and money, there are demands for increased information security. Sometimes errors occur in these systems that risk the security for both parties. These systems should be secured to maintain secure operations even though vulnerabilities occur. Outpost24 is one company that specializes in vulnerability management. By using their scanning tool OUTSCAN™, Outpost24 can identify vulnerabilities in network components, such as firewalls, switches, printers, devices, servers, workstations and other computer systems. These results are then stored in a database. Within this study, the authors will work together with Outpost24 towards this data. The goal is to define a process for generation of vulnerability reports for the company. The process will perform a statistical analysis of the data and present the findings. To solve the task a report was created, during which the process was documented. The work began with a background study into Key Performance Indicators (KPIs), in which the most common security KPIs were identified from similar works. A tool was also developed to help with the analysis. This resulted in a statistical analysis using Outpost24’s dataset. By presenting the data formatted by the KPIs, trends could be identified. This showed an overall trend of increasing vulnerabilities and the necessity for organizations to spend resources towards security. The KPIs offer other possibilities, such as creating a baseline for security evaluation using data from one year. In the future, one could use the KPIs to compare how the security situation has changed.
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Ngqumeya, Monde Benedict Afrika. "The effect of key performance indicators on state owned enterprises performance in South Africa : a critical analysis of three national departments." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/22810.

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The purpose of this exploratory research was to explore the effect of Key Performance Indicators (KPIs) on State Owned Enterprises’ performance in South Africa. The aim of the study was to establish the impact that KPIs have on state owned enterprises, how they are currently measured and the causes of success or failure of Key Performance Indicators (KPIs) on State Owned Companies.Fifteen respondents participated in this qualitative study. The survey method used was a questionnaire with closed and open-ended questions. The respondents were all Senior Executives including Chief Executive Officers, General Managers, Board Members and Senior Management employed by State Owned Enterprises reporting to the Department of Public Enterprises, Department of Transport and Department of Water Affairs. The research instrument that was used was a questionnaire with closed and open-ended questions.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
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Ehliar, Lars-Johan, and Tobias Wagner. "Key performance indicators for the evaluation of an air navigation service providers' safety management system." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-125477.

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Safety is the main concern of the aviation industry. All Air Navigation Service Providers must have a Safety Management System (SMS) which states how safety is handled, promoted and prioritized. By developing Key Performance indicators (KPIs), it is possible to quantify the effectiveness of a SMS, discover potential flaws and improvement measures. This thesis identifies principles behind the SMS, the development of KPIs and suggest potential KPIs for the Swedish air navigation service provider LFVs’ SMS. A literature study was performed and organisation specific documents were analysed to develop potential KPIs within the areas timely compliance with international obligations, competency and adoption and sharing of best practices based on an EASA questionnaire. This work presents a set of 27 performance indicators and recommends 6 as potential KPIs for the three areas together. The KPIs are developed specifically for LFV but could be applicable for other organisations with similar SMS structure and processes. They should be analysed within the organisation and, potentially, have thresholds set before implementation.
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Ökvist, Alice, and Majda Cirkic. "Managing Profit Oriented Key Performance Indicators : A case study about how profit related KPIs can be managed in order to reach and excel profitability goals." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-30942.

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Vedral, Jakub. "KPI management - auto alerting na platformě MS SQL." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17180.

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This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.
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Bäckström, Maria, and Isabelle Nilsson. "Key Performance Indicators - Förfina, förändra eller ta bort : En kvalitativ studie om förändringsprocessen av KPI:er och samspelet mellan chefer och gruppledare." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-35166.

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Title: Key Performance Indicators - Refine, adjust or remove Level: Final assignment for bachelor's degree in business administration. Author: Isabelle Nilsson and Maria Bäckström  Supervisor: Niklas Bomark Date: Autumn - 20  Aim: The aim of this study is to seek understanding of how the change process of KPIs works and whether information asymmetry and conflicts of interest can arise in the interaction between managers and group leaders in process. Method: The study is based on a qualitative research design and an interpretive hermeneutic research methodology. The empirics are collected through semi-structured interviews with managers and group leaders in a fintech company. A total of 4 managers and 5 team leaders have contributed to the content of the empirics. Secondary data have been collected from previous scientific research. The analysis is structured according to themes that have been compiled based on our research questions as well as collected data from previous research and empirics. Result & Contribution of the thesis: We have come to the conclusion that the process of changing KPIs goes through four different phases; 1. Problems are identified, 2. Measures are taken, 3. Delegation and 4. Evaluation. In connection with this, we have seen that conflicts of interest and/or information asymmetry can arise between managers and group leaders, which should be taken into account in the change process. The study has also found that conflicts of interest may in themselves cause a need to change KPIs. Suggestion for future research: - A longitudinal study could contribute to a deeper understanding of the changing process, by looking at the phenomenon for a longer time and doing repeated analyzes to detect any deviations or patterns. - The possibilities of the study could be broadened by not only measuring the end goal but also the ongoing process in sales, and for example look at factors such as customer satisfaction, returning customers or customer recommendations and references.
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Books on the topic "Key Performance Indicators (KPI:er)"

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Urban and Regional Development Institute (Indonesia). Key performance indicators (KPI), benefit monitoring and evaluation (BME), dan implementation completion report (ICR) program padat karya perkotaan (PKP) dan prakarsa khusus bagi penganggur perempuan (SIWU): Laporan pendahuluan. Jakarta: Urban and Regional Development Institute, 2000.

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Book chapters on the topic "Key Performance Indicators (KPI:er)"

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Krasniqi, Fidel, Liljana Gavrilovska, and Arianit Maraj. "The Analysis of Key Performance Indicators (KPI) in 4G/LTE Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 285–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23976-3_25.

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Amzil, Kenza, Esma Yahia, Nathalie Klement, and Lionel Roucoules. "Causality Learning Approach for Supervision in the Context of Industry 4.0." In Lecture Notes in Mechanical Engineering, 316–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_50.

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AbstractIn order to have a full control on their processes, companies need to ensure real time monitoring and supervision using Key Performance Indicators (KPI). KPIs serve as a powerful tool to inform about the process flow status and objectives’ achievement. Although, experts are consulted to analyze, interpret, and explain KPIs’ values in order to extensively identify all influencing factors; this does not seem completely guaranteed if they only rely on their experience. In this paper, the authors propose a generic causality learning approach for monitoring and supervision. A causality analysis of KPIs’ values is hence presented, in addition to a prioritization of their influencing factors in order to provide a decision support. A KPI prediction is also suggested so that actions can be anticipated.
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"The Great KPI Misunderstanding." In Key Performance Indicators, 1–23. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119019855.ch1.

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"Background to the Winning KPI Methodology and Its Migration." In Key Performance Indicators, 99–106. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119019855.ch6.

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"Up-Skill In-House Resources to Manage the KPI Project (Stage 2)." In Key Performance Indicators, 133–44. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119019855.ch9.

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Murdock, Dr Hernan. "Key Performance Indicators (KPI) and Key Risk Indicators (KRI)." In Auditor Essentials, 309–12. Auerbach Publications, 2018. http://dx.doi.org/10.1201/9781315178141-67.

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"The Great KPI Misunderstanding." In Key Performance Indicators for Government and Non Profit Agencies, 69–83. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119201038.ch6.

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Nagyova, A., and H. Pacaiova. "How to Build Manual for Key Performance Indicators – KPI." In DAAAM International Scientific Book 2009. DAAAM International Vienna, 2009. http://dx.doi.org/10.2507/daaam.scibook.2009.15.

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Contreras, José, Carlos Parra, Adolfo Crespo Márquez, Vicente González-Prida, Fredy A. Kristjanpoller, and Pablo Viveros. "Model of a Performance Measurement System for Maintenance Management." In Optimum Decision Making in Asset Management, 194–214. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0651-5.ch009.

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This chapter book will analyze different systems of indicators by which maintenance management is evaluated. The models analyzed are: 1) The Balanced Scorecard. 2) The Alsyouf Model. 3) The Maintenance Scorecard Model. 4) The Metrics for Maintenance of SMRP (Society of Maintenance and Reliability Professionals). 5) The EN-15341-Maintenance Key Performance Indicators (European Standard). This paper presents a model for indicators based on various hierarchical levels and different functions and processes taking place in a maintenance department. With this model a comprehensive assessment of the most important aspects at all levels of the organization is achieved and shows the relationship between the various indicators to understand the overall performance of maintenance management and so align departmental objectives with the strategic objectives. Also is developed the C-KPI-M model, which is the definition of 18 chains of key indicators for viewing the cause and effect of the maintenance KPI that contribute to achieving the maximum Economic Value Added (EVA).
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Tetteh, Edem G., Ephrem Eyob, and Yao Amewokunu. "Evaluation of Key Metrics for Performance Measurement of a Lean Deployment Effort." In Customer-Oriented Global Supply Chains, 224–35. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0246-5.ch014.

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To meet customer’s needs for high-quality goods and avoiding risks of product-liability, global firms continually evaluate the performance of their supply chain for optimum design. Lean management is one of the key techniques businesses adopt in redesigning their processes. The technique is a vital strategy to increase productivity and effectiveness with respect to the movement of goods. Multivariate Analysis of Variance (MANOVA) was utilized to evaluate the performance of work cell, shift, worker’s experience, and kaizen event participation level during a lean enterprise deployment effort at a multinational organization. The significance of the effects of these variables were assessed based on various lean supply chain factors such as First In First Out (FIFO), Setup Wheel System (SWS), Standard Operating Procedures (SOP), Clip System(CS), and Key Performances Indicators (KPI). The results support the criticality of metrics and their impact in implementing a lean manufacturing process in a global supply chain environment.
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Conference papers on the topic "Key Performance Indicators (KPI:er)"

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Kibira, Deogratias, Michael Brundage, Shaw Feng, and K. C. Morris. "Procedure for Selecting Key Performance Indicators for Sustainable Manufacturing." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2877.

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The need for an open, inclusive, and neutral procedure in selecting key performance indicators (KPIs) for sustainable manufacturing has been increasing. The reason is that manufacturers seek to determine what to measure in order to improve environmental sustainability of their products and manufacturing processes. A difficulty arises in understanding and selecting specific indicators from a large number of stand-alone indicator sets available. This paper presents a procedure for individual manufacturers to select KPIs for measuring, monitoring and improving environmental aspects of manufacturing processes. The procedure is the basis for a guideline, being proposed for standardization within ASTM International. That guide can be used for (1) identifying candidate KPIs from existing sources, (2) defining new candidate KPIs, (3) selecting appropriate KPIs based on KPI criteria, and (4) composing the selected KPIs with assigned weights into a set. The paper explains how the developed procedure complements existing indicator sets and sustainability-measurement approaches at the manufacturing process level.
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Catlow, Jamie, L. Sharp, and M. Rutter. "P16 Acceptability of key performance indicators (KPI) in the national endoscopy database (NED), a delphi process." In Abstracts of the BSG Campus, 21–29 January 2021. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2021. http://dx.doi.org/10.1136/gutjnl-2020-bsgcampus.91.

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Ivanković, Ana Mandić, Marija Kušter Marić, Dominik Skokandić, Ela Njirić, and Josipa Šiljeg. "Finding the link between visual inspection and key performance indicators for road bridges." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0737.

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<p>Based on the rating from visual inspection and proposed weighting through component, system and network level, assessment procedure resulting with set of six most important Key Performance Indicators (KPI) for road bridges is presented. Those are: bridge condition assessment, structural safety, traffic safety, durability indicator, availability and bridge importance in the network. KPIs organised in the radar shaped diagram serve for priority repair ranking decisions. The procedure is elaborated at the sample of five actual bridges: two reinforced concrete arch bridges, one with solid and other with hollowed cross-sections; one frame type bridge with V shaped piers; one precast slab overpass; one solid slab continuous bridge with Y type piers. Bridges are built between 1958 and 2001 and are located either at the state or at the local roads in Croatia. Spans are varying from</p><p>9.5 to 72 m and overall lengths from 22 to 120 m.</p>
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Catlow, J., L. Sharp, and M. Rutter. "ACCEPTABILITY OF KEY PERFORMANCE INDICATORS (KPI) IN THE NATIONAL ENDOSCOPY DATABASE (NED) AUTOMATED PERFORMANCE REPORTS TO IMPROVE QUALITY OUTCOMES TRIAL (APRIQOT), A DELPHI PROCESS." In ESGE Days. © Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1704620.

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Morales Fusco, Pau, Sergi Saurí Marchán, Anna Maria Lekka, and Iosif Karousos. "Assessing customs performance in the Mediterranean ports. KPI selection and Best practices identification as part of the MEDNET project." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4221.

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The seamless flow of goods, people and investments across the Mediterranean necessitates a well-functioning port and transport system. More efficient port operations enhance seamless logistics and promote safety, efficiency, interoperability and interconnectivity of transport networks in the Mediterranean area.To promote the exchange of knowledge and expertise relevant to port and customs procedures and simplification of clearance for vessels and cargoes in the Mediterranean, the MEDNET project was launched. As part of the project a common evaluation framework for the performance of ports in the form of a set of Key Performance Indicators (KPIs) together with a list of the best practices in terms of operations and customs procedures was developed.In total, 50 ports were analyzed and given a KPI regarding traffic, financial, operational and human resources, sustainability and customs procedures. The values were latter crossed with the current good practices on operation in terms of customs procedures. And a small correlation between KPIs performance and implantation degree of good practices in customs procedures was found. This presentation exposes the methodology to assess the ports’ performance and the best practices identification.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4221
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Crivellari, Anna, Alessandro Tugnoli, Costanza Martina, Sarah Bonvicini, and Valerio Cozzani. "Inherently Safer Choices in Early Design of Offshore Oil and Gas Installations: A Multi-Target KPI Approach." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77700.

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As offshore oil & gas activities are currently evolving towards more productive yet complex situations, the availability of efficient safety metrics has become essential in the early stages of offshore oil & gas projects to underline potential major accidents hazards and clearly communicate safety criticalities. Inherent safety has demonstrated to be a widespread concept in offshore risk management strategies, but there are few preliminary studies in the existing literature about systemic indexing to orient the conceptual and basic design stages of the project lifecycle. In the present work, a methodology for the selection of inherently safer solutions was developed as a support tool for decision-making in early design activities of offshore oil & gas installations. The expected inherent safety performance of alternative design options is assessed by means of a comprehensive set of key performance indicators (KPIs) based on the simulation of consequences of offshore accident scenarios and credit factors of the possible loss of containment events from offshore equipment. The proposed KPIs aim to capture the hazard level of single units and to address selectively multiple targets of the potential threats than personnel and process equipment on the installation, such as marine organisms on the sea environment. Moreover, overall aggregated KPIs were introduced as a sound synthetic measure of the inherent safety performance of the offshore system. The method was applied to the assessment of alternative designs of an offshore production facility, particularly characterized by environmental and safety concerns. The results from the case study evidenced the capability of the proposed method in ranking the potential and credible critical units of each alternative configuration and identifying the relative magnitude of targets contributions to the global safety profile of the installation.
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Palakodeti, S. Rao, and Gregory Doelger. "Change Your Maintenance Philosophy When You Convert a Base Loaded Unit to Cycling Operation." In ASME 2010 Power Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/power2010-27138.

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With the fuel prices going up and many states mandating use of more renewable energy, a number of utilities are forced to convert some of their base loaded units to cycling operation. This change in operation requires a departure from the standard maintenance practices established for a given unit. This includes changes to Preventative Maintenance (PM), Predictive Maintenance (PdM), Planning and Scheduling and Key Performance Indicators (KPIs). When a unit is cycled — either minimum load to maximum load or two shift operation — it goes through stress cycles and its expected life decreases relative to the severity of cycling. When a decision is made to cycle a base loaded unit, the impact of the cycling has to be analyzed and the PM and PdM procedures need to be modified in order to maintain the expected life of the components. Cycling affects different components to different degrees and appropriate inspection and maintenance schedules need to be developed. The Key Performance Indicators (KPIs) have to be modified to monitor the effectiveness of the inspections and maintenance performed on the equipment. For example, Maintenance Basis Violation (MBV) is an important KPI for a cycling unit. Similarly, more attention has to be paid to the Planning and Scheduling activities as there are many uncertainties in the availability of the unit for preventative maintenance. The paradigm of performing PMs on a time basis should be changed to a throughput or hours of operation basis. This paper reviews the impact and severity of different cycling modes on a unit, vulnerability of common components adapting to the new mode, and discusses — in general terms — the required changes which need to be made in the inspection and maintenance practices. Also the paper reviews various KPIs that can be put in place for monitoring the impact of these procedures.
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Jimenez, Luis Roberto, Marta Solera, Matías Toril, and Pablo Oliver. "Evaluación de la calidad de experiencia de YouTube Live en redes inalámbricas." In XIII Jornadas de Ingenieria Telematica - JITEL2017. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/jitel2017.2017.6611.

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YouTube Live is one of the most popular services on the Internet, enabling an easy streaming of a live video with acceptable video quality. Thus, understanding user´s perception of this service is of the utmost importance for network operators. As in other videostreaming services, YouTube Live traffic is sometimes affected by delays due to unfavourable network conditions, which translate into unacceptable initial reproduction times or image freezes as a result of client´s buffer underrun. Detecting these events is key to ensure an adequate Quality of experience (QoE). Unfortunately, data encryption makes it very difficult for operators to monitor QoE from packet-level data collected in network interfaces. In this paper, an analytical model to estimate the QoE for encrypted YouTube Live service from packet-level data collected in the interfaces of a wireless network is presented. The inputs to the model are Transport Control Protocol (TCP)/Internet Protocol (IP) metrics, from which three Service Key Performance Indicators (S-KPIs) are estimated, namely initial video play start time, video interruption duration and video interruption. The model is developed with an experimental platform, consisting of a user terminal agent, a WiFi wireless network, a network-level emulator and a probe software. Model assessment is carried out by comparing S-KPI estimates with measurements from the terminal agent under different network conditions introduced by the network emulator.
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Hajdin, Rade, Joan R. Casas, and José Campos e Matos. "Inspection of Existing Bridges – Moving on from condition rating." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0940.

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<p>It is widely accepted that safety and serviceability are primary concerns in bridge design. However, for the most of bridges’ service life, these concerns are addressed indirectly by a qualitative meas- ure, defined herein as condition rating, which is based upon observable damages recorded during inspections. Condition rating is at best, only loosely correlated to safety and serviceability. It would be more reasonable to address safety and serviceability in an inspection process directly, using the information on bridge performance obtained during the design and construction.</p><p>To address this issue, the reliability was chosen as a Key Performance Indicators (KPI) for existing bridges and a novel practical solution is proposed. It is based on survey of observation types (visible defects, measurements, etc.) used in Europe, which were examined with regard to their potential impact on reliability regarding safety and serviceability. The impact of these observations on relia- bility is also dependent on their type, location and intensity/extent as well as on bridge structural systems. The paper presents a methodology to assess reliability, which heavily relies on data from design and construction phase. It also proposes a set of data elaborated in design and/or construc- tion phase that need to enter current bridge data bases to allow a rough reliability assessment of existing bridges.</p>
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Bautista Alarcon, Xaymaca, and Carlos Torres. "Implementing Business Analytics Software to Optimize Coiled Tubing Operations: A Digital Approach to Operations Efficiency." In SPE/ICoTA Well Intervention Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204446-ms.

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Abstract This paper describes how business analytics novel software tools combined with advanced data management techniques can be integrated to management workflows and decision-making processes of a Coiled Tubing Service Company (CTSC). An advanced data wrangling process (transforming and mapping data) was designed and implemented to unify current and historical coiled tubing operational data into a single data set. The latter was regularly updated with the latest operational information through an automated data querying process that eliminated the need for manually repeating the data wrangling. A Business Analytics Software (BAS) was used to accelerate the engineering of a Data Analytics (DA) process, identify correlations and trends, design data models, and create relevant Key Performance Indicators (KPI). Finally, BAS visualization tools were used to prepare and publish comprehensive cloud-based Business Intelligence (BI) dashboards and reports. The BI dashboard allows the coiled tubing company to quickly perform accurate and efficient analysis of the KPI trends of its coiled tubing units and well interventions. The cloud-based Dashboard enables the CTSC to: Effectively identify Coiled Tubing Strings utilization, costs, failures, vendors, and design performance trends based on factual data, thus enabling informed pipe management decisions. Clearly Identify high performance coiled tubing units and crews and make strategic decisions for high profile jobs. Identify equipment failures, non-productive time (NPT) trends and define, implement, and monitor maintenance and asset management strategies to tackle the failures with mayor impact on operations performance. Easily incorporate fresh operational data and detect record-breaking operations. Improve Customer Relationship Management by a quickly responding to customer inquiries for tailor-made operations performance reports. Decrease workload on repetitive processes by enabling reports generation with relevant and accurate data faster that previous methods in place. Quickly customize and create accurate documentation compiling relevant performance data in a consistent and standardized fashion. Perform well interventions technical analysis. The contemporary approach to integrate BI Software to coiled tubing operations is a step change in how service companies and operators are analyzing and monitoring performance (efficiency, safety, and quality) to differentiate from each other, optimize results and minimize costs. This paper describes an example of a simple yet sophisticated and effective way of incorporating digital tools in the oilfield services processes by utilizing in house talent and resources.
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Reports on the topic "Key Performance Indicators (KPI:er)"

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Sanz, E., P. Alonso, B. Haidar, H. Ghaemi, and L. García. Key performance indicators (KPIs). Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.002.

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The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies to be developed will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. However, the use of the output of the project will depend on the nature and profile of the research or scientific field. In this context, key performance indicators (KPIs) form the base on which the quality and scope of the methodologies developed in the project will be quantified and benchmarked. The project’s final product will be an online tool that higher education students can use to learn entrepreneurship from a social network perspective. Performance measurement is one of the first steps of any project and involves the choice and use of indicators to measure the effectiveness and success of the project’s methods and results. All the KPIs have been selected according to criteria of relevance, measurability, reliability, and adequacy, and they cover the process, dissemination methods, and overall quality of the project. In this document, each KPI is defined together with the units and instruments for measuring it. In the case of qualitative KPIs, five-level Likert scales are defined to improve indicator measurability and reliability. The KPIs for prodPhD are divided into three main dimensions, depending on the stage of the project they evaluate. The three main dimensions are performance and development (which are highly related to the project’s process), dissemination and impact (which are more closely correlated with the project’s output), and overall project quality. Different sources (i.e., European projects and papers) have been drawn upon to define a set of 51 KPIs classified into six categories, according to the project phase they aim to evaluate. An Excel tool has been developed that collects all the KPIs analysed in the production of this document. This tool is shared in the Scipedia repository.
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