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 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.

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.

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.

scholarly journals Development of Performance Evaluation Indicators for Table Grape Packaging Units

2021 ◽  
Vol 13 (4) ◽  
pp. 2177
Author(s):  
Edson Kogachi ◽  
Adonias Ferreira ◽  
Carlos Cavalcante ◽  
Marcelo Embiruçu
Keyword(s):  
Performance Evaluation ◽  
Standard Deviation ◽  
Process Management ◽  
Principal Component ◽  
Table Grape ◽  
Data Envelopment ◽  
Table Grapes ◽  
Speed Performance ◽  
The Cost

In order to improve the process management of table grape packaging, its performance should be evaluated. However, the literature on performance evaluation indicators is scarce. To address this research gap, we propose a method for the development of performance evaluation indicators for table grape packaging units, which are characterized by labor-intensive and highly seasonal production processes in the agro-economic sector. The stages include the following: contextualizing table grape packaging units, selecting the performance objectives, selecting techniques to be used in the development of the indicators, and applying the method to the packaging units of table grapes. The techniques adopted in the development of the indicators aimed at the cost, quality, flexibility, reliability, and speed performance objectives were data envelopment analysis, principal component analysis, quantification of the batch, compliance with the program within the established deadline, and measurement of the execution time of the batch, respectively. The results obtained in the case study demonstrate that the correlations between the performance indicators do not indicate the need to disregard any of them. Furthermore, the standard deviation values for each indicator are similar. Thus, both results of correlations and standard deviation confirm the importance of the indicators chosen for the performance evaluation of table grape packaging.

An analytic network process model for hospital facilities management performance evaluation

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Process Model ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Network Process

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.

scholarly journals Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 383
Author(s):  
Guanggang Song ◽  
Bin Li ◽  
Yuqing He
Keyword(s):  
Pattern Recognition ◽  
Performance Evaluation ◽  
Container Terminal ◽  
Container Terminals ◽  
Computing Architecture ◽  
Supply Chain Logistics ◽  
Green Production ◽  
And Performance ◽  
Container Terminal Logistics

Container terminals are the typical representatives of complex supply chain logistics hubs with multiple compound attributes and multiple coupling constraints, and their operations are provided with the strong characteristics of dynamicity, nonlinearity, coupling, and complexity (DNCC). From the perspective of computational logistics, we propose the container terminal logistics generalized computing architecture (CTL-GCA) by the migration, integration, and fusion of the abstract hierarchy, design philosophy, execution mechanism, and automatic principles of computer organization, computing architecture, and operating system. The CTL-GCA is supposed to provide the problem-oriented exploration and exploitation elementary frameworks for the abstraction, automation, and analysis of green production at container terminals. The CTL-GCA is intended to construct, evaluate, and improve the solution to planning, scheduling, and decision at container terminals, which all are nondeterministic polynomial hard problems. Subsequently, the logistics generalized computational pattern recognition and performance evaluation of a practical container terminal service case study is launched by the qualitative and quantitative approach from the sustainable perspective of green production. The case study demonstrates the application, utilization, exploitation, and exploration of CTL-GCA preliminarily, and finds the unsustainable patterns of production at the container terminal. From the above, we can draw the following conclusions. For one thing, the CTL-GCA makes a definition of the abstract and automatic running architecture of logistics generalized computation for container terminals (LGC-CT), which provides an original framework for the design and implementation of control and decision mechanism and algorithm. For another, the CTL-GCA can help us to investigate the roots of DNCC thoroughly, and then the CTL-GCA makes for conducting the efficient and sustainable running pattern recognition of LGC-CT. It is supposed to provide a favorable guidance and supplement to define, design, and implement the agile, efficient, sustainable, and robust task scheduling and resource allocation for container terminals by computational logistics whether in the strategy level or the tactical one.

scholarly journals Marketing Activities in the Fruit Industry: Case Study of Banana in Khoai Chau District, Hung Yen Province, Vietnam

2021 ◽  
pp. 42-52
Author(s):  
Nguyen Van Phuong ◽  
Do Quang Giam ◽  
Vu Thi Hai
Keyword(s):  
Descriptive Analysis ◽  
Secondary Data ◽  
International Markets ◽  
Primary Data ◽  
Face To Face ◽  
Market Participants ◽  
Business Operations ◽  
Marketing Activities ◽  
Grower Association

Aims: The study aims to overview about the marketing activities of banana industry in Vietnam based on the case study in Khoai Chau district, Vietnam. Methodology: Both primary and secondary data were used in this study. Primary data was collected through face-to-face interviews and mobile phone with market participants using semi-structured questionnaire in two year 2016 and 2019. The descriptive analysis method was used to describe channels of distribution, marketing practices of farmers and traders, flow of product from producers to consumers, and problems that banana farmers and traders encounter in their business operations. Results: The results show that banana was sold through 13 channels for both domestic and international markets. At traders’ level market, non-contract was popularly applied by retailers in both selling and buying operations. Majority of banana growers have small operations and engage in small transactions and individually with buyers. They do not have market power in setting the price. They are often faced with unstable price and difficulty in entering high income market. Establishing banana grower association in each commune would enable growers to maintain and monitor the quality of banana especially among small growers. Though collective marketing, they can link with large and stable potential markets such as supermarkets and other institutional buyers.

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