Analysis of Relative Importance of Key Performance Indicators for Center for Child-Care Foodservice Management through Analytic Hierarchy Process (AHP)

2013 ◽  
Vol 18 (2) ◽  
pp. 154 ◽  
Author(s):  
Yun-Hui Jeong ◽  
In-Sook Chae ◽  
Il-Sun Yang ◽  
Hye-Young Kim ◽  
Hae-Young Lee
Keyword(s):  
Child Care ◽  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Foodservice Management ◽  
Hierarchy Process

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 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 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.

Integrated Quality Function Deployment as a Tool for Quality Achievement in Healthcare

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Healthcare Services ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Direct Evaluation ◽  
Quality Function ◽  
Model Combining ◽  
Hierarchy Process

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.

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.

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