A Fuzzy Model to Aggregate Performance Indicators in Sports

2022 ◽  
pp. 73-79
Author(s):  
Francisco P. Romero ◽  
Eusebio Angulo ◽  
Jesus Serrano-Guerrero ◽  
Jose A. Olivas
Keyword(s):  
Performance Indicators ◽  
Fuzzy Model

Fuzzy set theory-based model for identifying the potential of improving process KPIs in production logistics area

2018 ◽  
Vol 4 (10) ◽  
pp. 327-336
Author(s):  
Denisa Hrusecka
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Performance Indicators ◽  
Business Processes ◽  
Fuzzy Model ◽  
Real Data ◽  
Key Performance Indicators ◽  
Production Logistics ◽  
Low Performance

The high complexity of today’s manufacturing environment brings many problems with planning and managing, especially production, logistic and other key business processes. In many cases, it is quite complicating to identify the real causes of problems that enterprises face or to decide which one of them should be solved first. Especially, in the case of large enterprises, it is complicating to access expertise among all departments and employed professionals in order to solve the problems most efficiently. Our fuzzy model provides a simple tool for easy identification of the most significant problems of observed processes that cause their low performance according to the measured values of their key performance indicators. The model is based on data gained through interviews with production managers, industry experts and other professionals, and verified by real data from a model company. The results are presented in the form of case studies in this contribution. Keywords: Production logistics, key performance indicators, KPI, productivity, problem identification, fuzzy set theory, process.

Fuzzy set theory–based model for identifying the potential for improving process KPI in production logistics area

2018 ◽  
Vol 4 (10) ◽  
pp. 154-163
Author(s):  
Denisa Hrusecka
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Performance Indicators ◽  
Business Processes ◽  
Fuzzy Model ◽  
Real Data ◽  
Key Performance Indicators ◽  
Production Logistics ◽  
Low Performance

The high complexity of today´s manufacturing environment brings many problems with planning and managing, especially production, logistic and other key business processes. In many cases, it is quite complicated to identify the real causes of problems that enterprise faces or to decide which one of them should be solved as a first. Especially, in the case of large enterprises, it is quite complicated to access expertise among all departments and employed professionals in order to solve the problems in the most efficient way. The purpose of our fuzzy model is to provide a simple tool for easy identification of the most significant problems of observed processes that causes their low performance according to the measured values of their key performance indicators (KPIs). The model is based on data gained through the interviews with production managers, industry experts and other professionals, and it was verified by real data from one model company. The results are presented in the form of case study in this contribution. Keywords: Production logistics, key performance indicators (KPI), productivity, problem identification, fuzzy set theory, process.

Performance indicators for student services

1990 ◽  
Vol 18 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Sally Aldridge ◽  
David Legge
Keyword(s):  
Student Services ◽  
Performance Indicators

Characteristics, Features of Development, Regional and Sectoral Determinants of High-tech Business in Russia

2017 ◽  
pp. 142-154 ◽  
Author(s):  
A. Yusupova ◽  
S. Khalimova
Keyword(s):  
Regression Analysis ◽  
Performance Indicators ◽  
Sustainability Assessment ◽  
Business Development ◽  
High Tech ◽  
Assessment Data ◽  
High Tech Sector ◽  
Fast Growing ◽  
High Level

The paper deals with the research devoted to characteristics of high tech business development in Russia. Companies’ performance indicators have been analyzed with the help of regression analysis and author’s scheme of leadership stability and sustainability assessment. Data provided by Russia’s Fast Growing High-Tech Companies’ National Rating (TechUp) during 2012-2016 were used. The results have revealed that the high tech sector is characterized by high level of uncertainty. Limited number of regions and sectors which form the basis for high tech business have been defined. Relationship between innovation activity’s indicators and export potential is determined.

Optimalisasi Key Performance Indicators (KPI) Melalui Pendekatan Balance Scorecard Upaya Mengimplementasikan Performance Management System (PMS) Pada Perguruan Tinggi

CCIT Journal ◽  
2012 ◽  
Vol 6 (1) ◽  
pp. 17-34
Author(s):  
Untung Rahardja ◽  
Muhamad Yusup Eva ◽  
Rosyifa Rosyifa
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Educational Institution ◽  
Key Performance Indicators ◽  
Individual Performance ◽  
The State ◽  
Public Institution ◽  
Performance Measurement System ◽  
Educational Institutions ◽  
Successful Implementation

SQL Server Reporting Services is a way to analyze data, create reports using the indicators and gauges. Indicators are minimal gauges that convey the state of a single data value at a glance, and most are used to represent the state of Key Performance Indicators. Manage and harmonize the performance of an institution's educational institutions, especially universities with the performance of individuals or resources, no doubt is one of the essential elements for the success of an entity of the institution. Integrate the performance of an educational institution with individual performance is not an easy process, and therefore required a systematic approach to manage it. Implementation of a strategic management system based Balanced Scorecard can be used as a performance measurement system that will continuously monitor the successful implementation of the strategy of any public educational institution and measure the performance of its resources in a comprehensive and balanced, not the quantity but the emphasis is more concerned with the quality, so the performance of educational institutions at any time can be known clearly. Contribution of Key Performance Indicators to manage and harmonize the performance of any public institution is a solution in providing information to realize the extent of work that has set targets, identify and monitor measures of success, of course, with performance indicators show a clear, specific and measurable.

Strategic planning in grassland farming: Principles andapplications

1997 ◽  
pp. 191-197
Author(s):  
W.J. Parker ◽  
N.M. Shadbolt ◽  
D.I. Gray
Keyword(s):  
Strategic Planning ◽  
Performance Indicators ◽  
Cost Effective ◽  
Key Performance Indicators ◽  
Strategic Plans ◽  
Effective Manner ◽  
Farm Business ◽  
Pastoral Farming ◽  
Financial Environment

Three levels of planning can be distinguished in grassland farming: strategic, tactical and operational. The purpose of strategic planning is to achieve a sustainable long-term fit of the farm business with its physical, social and financial environment. In pastoral farming, this essentially means developing plans that maximise and best match pasture growth with animal demand, while generating sufficient income to maintain or enhance farm resources and improvements, and attain personal and financial goals. Strategic plans relate to the whole farm business and are focused on the means to achieve future needs. They should be routinely (at least annually) reviewed and monitored for effectiveness through key performance indicators (e.g., Economic Farm Surplus) that enable progress toward goals to be measured in a timely and cost-effective manner. Failure to link strategy with control is likely to result in unfulfilled plans. Keywords: management, performance

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