scholarly journals Modelagem para avaliação da competitividade em empresas de base tecnológica

Exacta ◽  
2019 ◽  
Vol 17 (3) ◽  
pp. 61-80
Author(s):  
Aline Martins dos Santos ◽  
Julio Cezar Mairesse Siluk ◽  
Taís Bisognin Garlet ◽  
Rafael Marcuzzo ◽  
Fernando De Souza Savian ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Analytic Hierarchy ◽  
Hierarchy Process

As empresas de base tecnológica têm apresentado alta taxa de crescimento anual e, por isso, necessitam estar preparadas diante de cenários positivos ou negativos, reforçando o quanto a estratégia faz-se evolutiva e como cada negócio interage com o seu ambiente dependendo da fase do ciclo em que se encontra. Além disso, em um ambiente competitivo, os ativos intangíveis têm sido a fonte de vantagens sustentáveis para o aumento de valor nas organizações. Frente a estes cenários, o artigo tem como objetivo propor uma modelagem de mensuração do nível de competitividade em empresas de base tecnológica a partir dos ativos intangíveis que interferem no ciclo de vida organizacional. No total foram levantados 57 indicadores de desempenho, utilizando-se pressupostos dos Key Performance Indicators (KPI) e elementos de Analytic Hierarchy Process (AHP). Após, a aplicação da pesquisa foi realizada em 31 empresas situadas em diferentes fases do ciclo de vida do negócio.

scholarly journals An Evaluation of Indicators of Railway Intelligent Transportation Systems using the Group Analytic Hierarchy Process

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Evelin Krmac ◽  
Boban Djordjević
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Key Performance Indicators ◽  
Transportation Systems ◽  
Analytic Hierarchy ◽  
Expert Opinions ◽  
Hierarchy Process

Intelligent Transportation Systems (ITS) have a significant and promising role in the overall improvement of transport performances. However, in the absence of a set of key performance indicators (KPI), it is very difficult to evaluate ITS and the effects of their application objectively. Therefore, the first aim of the paper is to develop an appropriate KPIs for assessment of railway ITS and the monitoring of their impacts. Based on that, a tool for the evaluation of the importance of these indicators is proposed. For that purpose a set of twenty-four indicators was grouped by topics under the economic, social, and environmental dimensions of sustainability. The paper thoroughly describes their development and classification. An evaluation of indicators based on expert opinions via the Group Analytic Hierarchy Process (GAHP) method is presented. Results obtained by the GAHP method illustrate the importance or significance of indicators for railway ITS.

scholarly journals The evaluation and enhancement of quality, environmental protection and seaport safety by using FAHP

2017 ◽  
Vol 17 (2) ◽  
pp. 261-275 ◽  
Author(s):  
Danijela Tadic ◽  
Aleksandar Aleksic ◽  
Pavle Popovic ◽  
Slavko Arsovski ◽  
Ana Castelli ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Business Strategy ◽  
Business Processes ◽  
Real Life ◽  
Key Performance Indicators ◽  
Analytic Hierarchy ◽  
Real Life Data ◽  
Fuzzy Group Decision Making ◽  
Hierarchy Process

Abstract. The evaluation and enhancement of business processes in any organization in an uncertain environment presents one of the main requirements of ISO 9000:2008 and has a key effect on competitive advantage and long-term sustainability. The aim of this paper can be defined as the identification and discussion of some of the most important business processes of seaports and the performances of business processes and their key performance indicators (KPIs). The complexity and importance of the treated problem call for analytic methods rather than intuitive decisions. The existing decision variables of the considered problem are described by linguistic expressions which are modelled by triangular fuzzy numbers (TFNs). In this paper, the modified fuzzy extended analytic hierarchy process (FAHP) is proposed. The assessment of the relative importance of each pair of performances and their key performance indicators are stated as a fuzzy group decision-making problem. By using the modified fuzzy extended analytic hierarchy process, the fuzzy rank of business processes of a seaport is obtained. The model is tested through an illustrative example with real-life data, where the obtained data suggest measures which should enhance business strategy and improve key performance indicators. The future improvement is based on benchmark and knowledge sharing.

scholarly journals Performance Indicators Framework for Assessment of a Sanitary Sewer System Using the Analytic Hierarchy Process (AHP)

2019 ◽  
Vol 11 (10) ◽  
pp. 2746 ◽  
Author(s):  
Seong-Nam Nam ◽  
Thao Thi Nguyen ◽  
Jeill Oh
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Sewer System ◽  
Analytic Hierarchy ◽  
Important Indicator ◽  
Sanitary Sewer ◽  
Operation And Maintenance ◽  
The Analytic Hierarchy Process ◽  
Odor Monitoring ◽  
Hierarchy Process

In this study, performance indicators (PIs) for assessing services of the sanitary sewer system in South Korea were evaluated based on general opinions collected from experts in the field. The analytic hierarchy process (AHP) was then carried out. The evaluated set of PIs consisted of five major criteria: management, operation and maintenance, service, environment, and finance. Using the experts’ survey incorporated into the AHP tool, the prioritization of the five criteria was performed, consisting of a total of 14 indicators and 34 checklists on three levels. Of the criteria groups, operation and maintenance was found to be the most important indicator, comprising 43% of all the scores. The AHP results showed that, of the 34 checklists, 13 indicators were explained as candidates of key PIs: on-the-job training and work role and responsibility from management, sewer condition inspection, pump, sewer maintenance, flow rate/water quality/odor monitoring from operation and maintenance, complaint resolution from service, inflow volume from environment, and operational cost in annual expenditures from finance. The PIs developed in this study are expected to be used by stakeholders involved in the provision of sewer services, such as undertaking companies, policy-making bodies, and financing agencies.

scholarly journals The Construction and Research of Football Evaluation Index System

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Mengwei Qiao
Keyword(s):  
Performance Evaluation ◽  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Practical Significance ◽  
Expert Consultation ◽  
Analytic Hierarchy ◽  
Hierarchy Process

In order to establish the evaluation model of football performance indicators, this paper refers to the literature and determines the performance evaluation indicators such as the diversity of matches, players' contribution, flexibility, adaptability, coordination and tempo among players through expert consultation. Next, the paper uses analytic hierarchy process to determine the weight of each indicator. The study is of practical significance for the comprehensive and reasonable evaluation of football performance level.

scholarly journals Performance Indicators of Management Buyouts Using the Analytic Hierarchy Process Method

Organizacija ◽  
2018 ◽  
Vol 51 (3) ◽  
pp. 169-184
Author(s):  
Petra Grah ◽  
Vesna Čančer ◽  
Borut Bratina
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Financial Indicators ◽  
Analytic Hierarchy ◽  
Financial Restructuring ◽  
Management Buyouts ◽  
The Analytic Hierarchy Process ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

AbstractBackground and Purpose: In Slovenia, few management buyout (MBO) studies have been carried out. The focus was mostly on the motives for acquisition of companies and the success rate of the acquisitions. This paper aims to analyse the indicators which suggest an impending bankruptcy or financial restructuring of companies and explore how these indicators are different for successful and unsuccessful MBOs.Methodology: In the survey, we included 23 selected MBOs in Slovenia between 2005 and 2008, using the following financial and non-financial indicators: profitability, performance, solvency and liquidity, using the analytic hierarchy process method. The key aim of the survey was to use financial and non-financial indicators to study if target companies where bankruptcy or financial restructuring has not yet been initiated prevalently have higher aggregate values compared to those in which bankruptcy or financial restructuring procedures have already begun. Thus, we used the selected indicators to demonstrate one of the possible methods to predict the success of a particular MBO.Results: We found that in most examples of unsuccessful MBOs, target companies have poorer results in terms of performance, solvency and liquidity, when compared to successful MBOs. Based on the selected areas, we divided the results into four quarters. We found that most target companies where MBOs had been unsuccessful are ranked in a lower quarter than most of the target companies where the MBOs had been successful.Conclusion: The papers main contribution is the finding that the selected financial and non-financial indicators differ in cases of successful and unsuccessful MBOs. This knowledge helps us to find ways of avoiding these situations in the future.

scholarly journals Analysis of Cutting Performance of Tool based on Analytic Hierarchy Process and Grey-fuzzy Evaluation Method

2021 ◽  
Author(s):  
Daxun Yue ◽  
Caixu Yue ◽  
Xianli Liu ◽  
Anshan Zhang ◽  
Mingxing Li ◽  
...  
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Material Removal ◽  
Evaluation Method ◽  
Fuzzy Evaluation ◽  
Tool Wear Rate ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Abstract Studies show that in the cutting process, different parameters have different importance to performance indicators. Accordingly, it is necessary to define the importance of different parameters to performance indicators to study the correlation between parameters and performance indicators accurately. In the present study, the side milling process of titanium alloy by the end milling cutter is considered as the research object, analytic hierarchy process and grey-fuzzy evaluation method are used to evaluate the importance of tool geometric parameters and operating parameters on tool wear rate and material removal. It is found that applying the average method to remove the parameter level, makes each parameter calculate the same result. Therefore, it should be combined with other data processing methods to resolve the above problem. Finally, the range analysis method is applied to obtain the optimal parameter level of different parameters for each performance indicator in the orthogonal table. The obtained results show that helix angle has the highest importance comprehensive evaluation value, followed by feed per tooth. For the tool wear rate and material removal amount, the optimal horizontal combination of parameters was obtained successively.

scholarly journals Evaluation of Key Performance Indicators of Logistics Firms

2020 ◽  
Vol 11 (1) ◽  
pp. 24-32
Author(s):  
Nazlıcan Gözaçan ◽  
Çisem Lafci
Keyword(s):  
Total Quality Management ◽  
Goal Setting ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Total Quality ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Integrated Method ◽  
Setting Approach ◽  
Hierarchy Process

AbstractKey Performance Indicators (KPI) has been outlined for implementing total quality management (TQM) across logistics sector. This study constituted on the quality values of logistics firms in the logistics sector, which is examined with key performance indicators through the integrated method of Analytic Hierarchy Process (AHP) and SMART Goal Setting. The calculations were performed for logistics firms. The method used in this study is the integrated method of the AHP Method and SMART Goal Setting. The results highlight the most mentioned key performance indicators in the literature in a prioritized version also during the prioritizing process via AHP Method, the SMART Goal Setting approach also is applied.

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