Does Operational Efficiency Depend on the Airport’s Size?

2018 ◽  
Vol 4 (4) ◽  
pp. 28-37 ◽  
Author(s):  
Tshianeo Tracey
Keyword(s):  
Performance Evaluation ◽  
Statistical Analysis ◽  
South African ◽  
Performance Measures ◽  
Performance Indicators ◽  
Operational Performance ◽  
Data Envelopment ◽  
Important Data ◽  
Business Operations ◽  
Operational Information

This paper presents operational performance analysis using DEA which is short for data envelopment analysis. The study focuses on 9 South African commercial airports. These were divided into different hub groups according to their size. Few airports utilize any type of operational performance indicators for performance evaluation. Operational information such as aircrafts’ landing and take-off movements are some of the important data that can be used. Airport performance measures are necessary for stakeholders such as passengers and day-to-day business operations. The study was limited to only two inputs and two outputs. Outputs being passenger throughput and total air traffic movements. The inputs being hourly runway capacity and public parking bays. After DEA was used to evaluate the efficiency of the airports, statistical analysis was done to identify those airports that dominate others in terms of efficiency.

Benchmarking Performance Indicators of Indian Rail Freight by DEA Approach

2019 ◽  
pp. 173-190
Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Secondary Data ◽  
Container Terminals ◽  
Operational Planning ◽  
Data Envelopment ◽  
Business Operations ◽  
Benchmarking Performance ◽  
Ccr Model

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy, and therefore performance measurement, being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness. The purpose of this chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing super-efficiency models of data envelopment analysis (DEA) on secondary data of CONCOR container terminals from 1994-95 to 2015-16 for performance evaluation within CONCOR. The exercise identified efficiency trends fluctuating between 75.83% to 109.51% (CCR model) and 93.52% to 100% (BCC model) within CONCOR, owing to lack of operational planning and lack of efficient staff.

Benchmarking of Indian Rail Freight by DEA

2014 ◽  
pp. 273-291
Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh ◽  
Rajbir Singh Bhatti
Keyword(s):  
Performance Evaluation ◽  
Comparative Analysis ◽  
Data Envelopment Analysis ◽  
Public Participation ◽  
Secondary Data ◽  
Container Terminals ◽  
Data Envelopment ◽  
Business Operations

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy and therefore performance measurement being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered for competition in the container segment in January 2006 through private-public participation for customer centric competitiveness. The purpose of this book chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing basic and super-efficiency models of Data Envelopment Analysis (DEA) on secondary data of CONCOR, Adani and Gateway container terminals from 1995-96 till 2010-11 for performance evaluation within CONCOR and comparative analysis for three organizations from 2005-06 till 2010-11. The exercise identified efficiency trends fluctuating between 87.5% to 1000% within CONCOR owing to haphazard infrastructure developed while comparison with private players showed 38.31% to 77.59% efficiency fluctuation concurrent to licensing policy norms.

Benchmarking Performance Indicators of Indian Rail Freight by DEA Approach

2018 ◽  
pp. 587-600
Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh
Keyword(s):  
Performance Indicators ◽  
Secondary Data ◽  
Container Terminals ◽  
Operational Planning ◽  
Data Envelopment ◽  
Business Operations ◽  
Benchmarking Performance ◽  
Ccr Model

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy and therefore performance measurement being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered for competition in the container segment in January 2006 through private-public participation for customer centric competitiveness. The purpose of this book chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing super-efficiency models of Data Envelopment Analysis (DEA) on secondary data of CONCOR container terminals from 1994-95 till 2015-16 for performance evaluation within CONCOR. The exercise identified efficiency trends fluctuating between 75.83% to 109.51% (CCR Model) and 93.52% to 1000% (BCC Model) within CONCOR owing to lack of operational planning and lack of efficient staff.

A study on the performance evaluation of major international airports in the world

2008 ◽  
Vol 3 (1) ◽  
pp. 71-81 ◽  
Author(s):  
K‐J. Tseng ◽  
Jow‐Fei Ho ◽  
Yuan‐Jing Liu
Keyword(s):  
Performance Evaluation ◽  
Operational Performance ◽  
Data Envelopment ◽  
Content Type ◽  
The World ◽  
The Usa ◽  
Overall Performance ◽  
Practical Implications ◽  
Bilateral Model ◽  
Better Than

PurposeThis paper aims to assess the performance evaluation of major international airports in the world.Design/methodology/approachIn this study, the authors utilized data envelopment analysis in an input‐oriented method to discuss the overall operational performance of 20 major international airports between 2001 and 2005. They used cross efficiency measure to determine the international airports that enjoy the best operational performances and used the bilateral model to compare the performance differences between international airports of different regions.FindingsThe Atlanta Airport (ATL) in the USA and the Beijing Airport (PEK) in China experienced MPSS. The overall performance of international airports in Asia is better than those in Americas, Europe, and Oceania.Research limitations/implicationsService quality can be discuss in the field in the future.Practical implicationsIn sensitivity analysis, four inputs had positive impacts on overall performances.Originality/valueThe ATL in the USA and the PEK in China were the best practices for the other international airports.

Evaluating the Operational Performance of Manufacturing Enterprises: An Evaluation Framework and Application to Pakistani Industry

1985 ◽  
Vol 24 (3-4) ◽  
pp. 703-719 ◽  
Author(s):  
Abdul Hafeez Shaikh
Keyword(s):  
Performance Evaluation ◽  
Final Section ◽  
Technology Development ◽  
Evaluation Framework ◽  
Relative Performance ◽  
Operational Performance ◽  
Special Focus ◽  
Manufacturing Enterprises ◽  
Private And Public

This study has two objectives; (i) to develop a framework for evaluating the operational performance of manufacturing enterprises, and (ii) to evaluate the trend in the performance of Pakistan's vegetable ghee industry for the 1970- 1980 period, with special focus on its relative performance under private and public ownerships. Section II is devoted to the vegetable ghee industry itself - its technology, development, pricing and distribution policies. In Section III a framework for performance evaluation is developed. In Section IV we evaluate in a series of steps - the performance of Pakistan's vegetable ghee industry. The final section is devoted to concluding comments.

scholarly journals Public reporting of performance measures in long-term care in Canada: does it make a difference?

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poldrugovac ◽  
J E Amuah ◽  
H Wei-Randall ◽  
P Sidhom ◽  
K Morris ◽  
...  
Keyword(s):  
Performance Measures ◽  
Performance Indicators ◽  
Long Term Care ◽  
Public Reporting ◽  
Policy Implications ◽  
Term Care ◽  
Factors Affecting ◽  
Care Facilities ◽  
The Impact

Abstract Background Evidence of the impact of public reporting of healthcare performance on quality improvement is not yet sufficient to draw conclusions with certainty, despite the important policy implications. This study explored the impact of implementing public reporting of performance indicators of long-term care facilities in Canada. The objective was to analyse whether improvements can be observed in performance measures after publication. Methods We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, while the other 8 are privately reported. We analysed data from the Continuing Care Reporting System managed by the Canadian Institute for Health Information and based on information collection with RAI-MDS 2.0 © between the fiscal years 2011 and 2018. A multilevel model was developed to analyse time trends, before and after publication, which started in 2015. The analysis was also stratified by key sample characteristics, such as the facilities' jurisdiction, size, urban or rural location and performance prior to publication. Results Data from 1087 long-term care facilities were included. Among the 8 publicly reported indicators, the trend in the period after publication did not change significantly in 5 cases, improved in 2 cases and worsened in 1 case. Among the 8 privately reported indicators, no change was observed in 7, and worsening in 1 indicator. The stratification of the data suggests that for those indicators that were already improving prior to public reporting, there was either no change in trend or there was a decrease in the rate of improvement after publication. For those indicators that showed a worsening trend prior to public reporting, the contrary was observed. Conclusions Our findings suggest public reporting of performance data can support change. The trends of performance indicators prior to publication appear to have an impact on whether further change will occur after publication. Key messages Public reporting is likely one of the factors affecting change in performance in long-term care facilities. Public reporting of performance measures in long-term care facilities may support improvements in particular in cases where improvement was not observed before publication.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

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