scholarly journals Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation

2020 ◽  
Vol 10 (3) ◽  
pp. 898
Author(s):  
Sebastian Pfaffel ◽  
Stefan Faulstich ◽  
Kurt Rohrig
Keyword(s):  
Wind Turbine ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Data Availability ◽  
Data Handling ◽  
Data Resolution ◽  
And Performance ◽  
Operational Data ◽  
Support Decision Making ◽  
Resolution Data

Key performance indicators (KPIs) are commonly used in the wind industry to support decision-making and to prioritize the work throughout a wind turbine portfolio. Still, there is little knowledge of the uncertainties of KPIs. This article intends to shed some light on the uncertainty and reliability of KPIs in general and performance KPIs in particular. For this purpose, different uncertainty causes are discussed, and three data handling related uncertainty causes are analyzed in detail for five KPIs. A local sensitivity analysis is followed by a more detailed analysis of the related uncertainties. The work bases on different sets of operational data, which are manipulated in a large number of experiments to carry out an empirical uncertainty analysis. The results show that changes in the data resolution, data availability, as well as missing inputs, can cause considerable uncertainties. These uncertainties can be reduced or even mitigated by simple measures in many cases. This article provides a comprehensive list of statements and recommendations to estimate the relevance of data handling related KPI uncertainties in the day-to-day work as well as approaches to correct KPIs for systematic deviations and simple steps to avoid pitfalls.

Efficient computation of key performance indicators in a distance learning university

2019 ◽  
Vol 47 (2) ◽  
pp. 96-105 ◽  
Author(s):  
Riccardo Pecori ◽  
Vincenzo Suraci ◽  
Pietro Ducange
Keyword(s):  
Big Data ◽  
Distance Learning ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Data Representation ◽  
Efficient Computation ◽  
Educational Decisions ◽  
Content Type ◽  
Educational Sources ◽  
And Performance

Purpose Managing efficiently educational Big Data, produced by Virtual Learning Environments, is becoming a compelling necessity, especially for those universities providing distance learning. This paper aims to propose a possible framework to compute efficiently key performance indicators, summarizing the trends of students’ academic careers, by using educational Big Data. Design/methodology/approach The framework is designed and implemented in a distributed fashion. The parallel computation of the indicators through Map and Reduce nodes is carefully described, together with the workflow of data, from the educational sources to a NoSQL database and to the learning analytics engine. Findings This framework was tested at eCampus University, an Italian distance learning institution, and it was able to significantly reduce the amount of time needed to compute key performance indicators. Moreover, by implementing a proper data representation dashboard, it resulted in a useful help and support for educational decisions and performance analyses and for revealing possible criticalities. Originality/value The framework proposed integrates for the first time, to the best of the authors’ knowledge, a set of modules, designed and implemented in a distributed fashion, to compute key performance indicators for distance learning institutions. It can be used to analyze the dropouts and the outcomes of students and, therefore, to evaluate the performances of universities, which can, in turn, propose effective improvements toward enhancing the overall e-learning scenario.

scholarly journals PENGUKURAN KINERJA KARYAWAN DENGAN HUMAN RESOURCES SCORECARD DI PONDOK PESANTREN ASSYAFIIYAH TAMBERU BATUMARMAR PAMEKASAN

2020 ◽  
Vol 5 (1) ◽  
pp. 23-30
Author(s):  
Faiqoh Bahjah Lailatus Siyami ◽  
Terisa Sapta Dasyanti
Keyword(s):  
Human Resources ◽  
Human Resource ◽  
Performance Indicators ◽  
Employee Performance ◽  
Educational Institution ◽  
Boarding School ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Board Performance ◽  
And Performance

Pondok Pesantren  (Islamic Boarding School) is one of the oldest pedagogical institutions in Indonesia. Pondok Pesantren Assyafiiyah is one of Islamic BoardingSchools located in the area of Madura. To be a productive Islamic Boarding School (i.e.a boarding school which fits the need of pesantren), Assyafiiyah Islamic Boarding School needs to measure the performance of the employee. In this case, it is known as Board Performance which involves human resources, strategy, and performance. To produce a superior educational institution, the implementation of Human Resource Scorecard method that has a positive and significant effect on the institution of Assyafiiyah Islamic Boarding School is very necessary. It is used as an analysis of human resource performance. It is expected that this kind performance measurement system (i.e. Human Resource Scorecard) is able to provide the best solution in improving employee performance. Try Out is given and conducted on the institution to measure the performance system achievemet of its human resources. Therefore, the Key Performance Indicators which does not reach the target can be discovered. In other words, such kind of Try Out can be used to analyze the necessary refinement and improvement of the Key Performance Indicators previously mentioned. Based on the status quo, there are two major problems in this research: 1) how is the mapping of Human Resourse Scorecard?; and 2) what are the factors influencing the optimalization of Board Performance in Assyafiiyah Islamic Boarding School through Human Resource Scorecard?

scholarly journals Acoustical planning for workplace health and well-being: A case study in four open-plan offices

2019 ◽  
Vol 26 (3) ◽  
pp. 207-220 ◽  
Author(s):  
Young Lee ◽  
Francesco Aletta
Keyword(s):  
Performance Indicators ◽  
Well Being ◽  
Key Performance Indicators ◽  
The United States ◽  
Workplace Health ◽  
Open Plan ◽  
And Performance ◽  
Acoustic Environments ◽  
Health And Well Being

Noise is the most frequent reason for complaints about environmental conditions in the workplace. It is associated with individual health and well-being and decreased productivity and performance. This study identified a set of acoustic strategies for open-plan workplaces and examined a case study applying those to four open-plan offices in the United States. The set of measures was defined based on a literature review and a focus group interview with 17 experts. A total of four topics were identified as key performance indicators of proper acoustic environments in the open-plan workplaces. A total of 19 items were then developed within these 4 topics as the protocols for planning acoustic strategies for workplace health and well-being. In the case study, the level of acoustic performance for workplace health and well-being was highest in the Dallas office (27.5 points out of a total of potential 40.0) followed by the Minneapolis office (26.0). Both offices outperformed the other offices in achieving space planning principles to control noises and occupant noise control in open spaces for acoustical privacy. A further examination on the relationships between acoustic strategies and other health and well-being key performance indicators in these offices suggests that guidance to increase occupants’ auditory comfort, well-being, and performance should be sought by designers in a holistic and integrative way.

Implementation of a Simulation Model for Optimizing the Traffic Flow from Arafat to Muzdalifah

2017 ◽  
Vol 13 (33) ◽  
pp. 390
Author(s):  
Arwa Jamjoom
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Traffic Flow ◽  
Visual Feedback ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Primary Objective ◽  
Experimental Results ◽  
Different Types ◽  
Support Decision Making

This project simulates the flow of pilgrims when they travel from Arafat to Muzdalifah. The system includes the roads network that connects Arafat to Muzdalifah, which is represented as a queuing system with different queue measurements that simulate reality. The system also includes different types of transportation, such as small and large buses and trains, all of which are represented as objects with different size and colors. All system objects carry specifications as their corresponding source system objects, and these specifications are based on data collected by the Ministry of Hajj. The primary objective of the system is to answer “what if” questions to support decision making to optimize Hajj traffic, which can be achieved by manipulating the system’s variables and then by observing the key performance indicators of the system. The system presents the experimental results as visual feedback alongside written reports with statistics and illustrations.

APPLICATION OF KEY PERFORMANCE INDICATORS IN SOUTH‐EASTERN EUROPEAN CONSTRUCTION

2010 ◽  
Vol 16 (4) ◽  
pp. 521-530 ◽  
Author(s):  
Mladen Radujković ◽  
Mladen Vukomanović ◽  
Ivana Burcar Dunović
Keyword(s):  
Performance Management ◽  
Construction Industry ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Structured Interviews ◽  
East European ◽  
Construction Company ◽  
Construction Companies ◽  
Management Processes ◽  
And Performance

The importance of performance based benchmarking has become a necessity in a modern construction company and presents a constant challenge for the construction industry. The aim of this paper is to elaborate significance, role and types of Key Performance Indicators (KPI) in the construction industry and show how different management perspectives perceive the indicators. A literature review was carried out in order to generate a listing of KPIs, used among academe and the industry. Afterwards, using surveys and semi‐structured interviews, the data was gathered from more than 30 South‐East European construction companies. Results were analyzed, producing a final set of 37 indicators. This study identified a low level of awareness of KPI models and performance management processes among the companies. Furthermore, the analysis showed a substantial difference in perception of KPIs among investors, consultants and contractors, which consequently led to a compiling list of KPIs. The top ten KPI's are: Quality, Cost, Number of investor interferences, Changes in project support, Time increase, Client satisfaction, Employees’ satisfaction, Innovation and learning, Time and Identification of client's interest. The paper concludes with final remarks and guidelines for the implementation of KPIs in practice. Santrauka Šiuolaikineje statybos imoneje efektyvumu pagristo lyginimo svarba jau yra neišvengiama, o statybu pramonei tai reiškia nuolatinius iššūkius. Šiuo darbu siekiama išnagrineti pagrindiniu statybu sektoriaus veiklos rodikliu (PVR) reikšme, vaidmeni ir rūšis bei pademonstruoti, kaip šie rodikliai vertinami remiantis skirtingais vadybos požiūriais. Apžvelgta literatūra, siekiant sudaryti akademineje aplinkoje ir pramoneje naudojamu PVR saraša. Pasitelkus apklausas ir iš dalies struktūrinius pokalbius, buvo surinkti duomenys iš daugiau kaip 30 pietryčiu Europos statybos imoniu. Išanalizavus rezultatus gautas galutinis 37 rodikliu rinkinys. Šiame tyrime nustatyta, kad imones menkai ka težino apie PVR modelius ir efektyvumo valdymo procesus. Be to, paaiškejo, kad investuotojai, konsultantai ir rangovai PVR suvokia gana skirtingai, ir del to teko sudaryti PVR saraša. Dešimt pagrindiniu PVR yra šie: kokybe, kaina, investuotojo kišimosi atveju skaičius, pasikeitusi parama projektui, nukelti terminai, kliento pasitenkinimas, darbuotoju pasitenkinimas, naujoves ir mokymasis, laikas, kliento interesu nustatymas. Darbo pabaigoje pateikiamos baigiamosios pastabos ir PVR taikymo praktikoje rekomendacijos.

scholarly journals Defining business model key performance indicators using intentional linguistic summaries

2021 ◽  
Author(s):  
Rick Gilsing ◽  
Anna Wilbik ◽  
Paul Grefen ◽  
Oktay Turetken ◽  
Baris Ozkan ◽  
...  
Keyword(s):  
Decision Making ◽  
Business Model ◽  
Performance Indicators ◽  
Model Evaluation ◽  
Business Models ◽  
Real Life ◽  
Innovation Process ◽  
Key Performance Indicators ◽  
Business Model Innovation ◽  
Data Availability

AbstractTo sustain competitiveness in contemporary, fast-paced markets, organizations increasingly focus on innovating their business models to enhance current value propositions or to explore novel sources of value creation. However, business model innovation is a complex task, characterized by shifting characteristics in terms of uncertainty, data availability and its impact on decision making. To cope with such challenges, business model evaluation is advocated to make sense of novel business models and to support decision making. Key performance indicators (KPIs) are frequently used in business model evaluation to structure the performance assessment of these models and to evaluate their strategic implications, in turn aiding business model decision making. However, given the shifting characteristics of the innovation process, the application and effectiveness of KPIs depend significantly on how such KPIs are defined. The techniques proposed in the existing literature typically generate or use quantitatively oriented KPIs, which are not well-suited for the early phases of the business model innovation process. Therefore, following a design science research methodology, we have developed a novel method for defining business model KPIs, taking into account the characteristics of the innovation process, offering holistic support toward decision making. Building on theory on linguistic summarization, we use a set of structured templates to define qualitative KPIs that are suitable to support early-phase decision making. In addition, we show how these KPIs can be gradually quantified to support later phases of the innovation process. We have evaluated our method by applying it in two real-life business cases, interviewing 13 industry experts to assess its utility.

scholarly journals Pola Penggunaan Balanced Scorcard (BSC) Pada Indikator Kinerja Utama (IKU) Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Fitriadi Fitriadi
Keyword(s):  
Performance Measurement ◽  
Performance Management ◽  
Performance Appraisal ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Phenomenological Approach ◽  
Key Performance Indicators ◽  
Performance Measurements ◽  
Higher Education Rankings ◽  
And Performance

The research problems about phenomena of the difficulty in seeing performance achievements and performance measurements at State Islamic University (UIN) Syarif Hidayatullah Jakarta. The UIN Syarif Hidayatullah Jakarta has difficulty making decisions in performance management, because before using the KPI, Its used budget management in performance appraisal and measurement. This research uses a qualitative method of field study with a phenomenological approach. Research objects are the experiences of the use of the Balanced Scorecard (BSC) pattern on the KPI of the UIN Syarif Hidayatullah Jakarta in 2018. After its existence of the Main KPI using the BSC. The results of the KPI are taken into consideration for performance evaluation by stakeholders at UIN Syarif Hidayatullah Jakarta in achieving the organization's vision. This performance appraisal and performance measurement can serve as a reference for performance achievements for Higher Education Rankings at the national and international level, Government Institution Performance Accountability Report (LAKIP), Strategic Plan (Renstra) and Campus Development Master Plan (RIBKA) or Milestones by looking at indicators, targets and size of the report. Keywords: Key Performance Indicators (KPI), Key Performance Indicators (KPI), Balanced Scorecard (BSC), Performance Measurement, Cascade  

scholarly journals Influence of Procurement Key Performance Indicators on The Performance of State Agencies in Kenya

2020 ◽  
Vol 4 (2) ◽  
pp. 80
Author(s):  
Bernard Mong’eri Ndemo ◽  
Dr. John Achuora ◽  
Dr. John Achuora
Keyword(s):  
Performance Indicators ◽  
Quality Index ◽  
Positive Relationship ◽  
Cost Management ◽  
Key Performance Indicators ◽  
Public Institutions ◽  
State Agencies ◽  
Utilization Management ◽  
And Performance ◽  
The Relationship

Purpose: The purpose of the study was to examine influence of procurement key performance indicators on the performance of state agencies in Kenya with an aim of making recommendations on proper usMethodology: The study employed a descriptive research design, targeting the 127 heads of procurement in state agencies in Kenya, who were selected using simple random sampling, from the four strata. The researcher preferred this method because it allows an in-depth study of the subject. Data was collected using self-administered questionnaires. Structured questionnaires were used to collect data. Data was analyzed using descriptive and inferential statistics. Quantitative data was analyzed using multiple regression analysis. The qualitative data generated was analyzed by use of Statistical Package of Social Sciences (SPSS) version 22. The response rate of the study was 82%.Results and conclusion: The results indicate that there is a positive relationship (r=.509) between cost management and performance of state agencies in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05). The results also indicate that there is a positive relationship (r=.398) between quality index management and performance of state agencies in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05). The results indicate that there is a positive relationship (r=.678) between delivery management and performance of state agencies in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05). The results indicate that there is a positive relationship (r=.685) between asset utilization management and performance of state agencies in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05). Hence, it is evident that all the independent variables could explain the changes in implementation of performance of state agencies in Kenya, on the basis of the correlation analysis. The findings of the study indicated that cost management, quality index management, delivery management and asset utilization management have a positive relationship with performance of state agencies in KenyaUnique contribution to theory, practice and policy: Finally, the study recommended that public institutions should embrace procurement key performance indicators so as to improve performance and further researches should to be carried out in other public institutions to find out if the same results can be obtained

scholarly journals The Implementation of Key Performance Indicators in the Malaysian Private Finance Initiative Projects

2017 ◽  
Vol 2 (5) ◽  
pp. 95 ◽  
Author(s):  
Nor Suzila Lop ◽  
Kharizam Ismail ◽  
Haryati Mohd Isa
Keyword(s):  
Performance Indicators ◽  
Publishing House ◽  
Key Performance Indicators ◽  
Structured Interview ◽  
Qualitative Approach ◽  
Private Finance Initiative ◽  
Private Finance ◽  
International Publishing ◽  
And Performance ◽  
Open Access Article

In Private Finance Initiative (PFI), payment for services is based on pre-determined standards and performance. Thus, Key Performance Indicators (KPIs) have been used to measure this performance. However, lack of an effective KPIs was identified as a core criticism towards the implementation of PFI projects. Therefore, the objectives of the research are to identify the importance and challenges of KPIs in measuring this performance. A qualitative approach via semi-structured interview was adopted. The findings discovered that the current KPIs do not meet the criteria and this can lead to the difficulties in measuring the performance of PFI projects. The outcome of this research can serve as a theoretical base for the development of an effective KPIs for PFI projects implementation in Malaysia.Keywords: Challenges; Importance; Key Performance Indicators; Private Finance Initiative.ISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

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