Assessing Container Terminal Safety and Security Using Data Envelopment Analysis

Size: px
Start display at page:

Download "Assessing Container Terminal Safety and Security Using Data Envelopment Analysis"

Transcription

1 Assessing Container Terminal Safety and Security Using Data Envelopment Analysis ELISABETH GUNDERSEN, EVANGELOS I. KAISAR, PANAGIOTIS D. SCARLATOS Department of Civil Engineering Florida Atlantic University 777 Glades Road, Boca Raton, FL THE UNITED STATES Abstract: - In response to the devastating terrorist attack on September 11, 2001, safety and security of the transportation network have received increased attention. Improving the intermodal transportation connections have been identified as one of the main challenges for enhanced safety, security, and efficiency among the transportation modes. Traffic congestion and aging of the intermodal connections is particularly a rising problem among the nation s seaports. Container traffic is expected to more than double the next decades which will have an important impact not only on the capacity and operations at the port, but also for the security system dealing with the cargo. It is therefore extremely important to mange the cargo with current and efficient security solutions. Inefficient solutions will increase congestion at the transportation network, especially across modes. Efforts therefore need to be taken for improved safety and security solutions at the intermodal aspects of the seaport terminals to meet the predicted growing market of container traffic and other port services. A Data Envelopment Analysis (DEA) model is developed in this study to assess the efficiency of the safety and security system of container terminals with intermodal links to highway and freight rail lines. The model will identify the best and worst performers in terms of the existing security system at the port. Several safety and security-related variables will be examined to identify potential solutions for improvement. The presented DEA methodology in conjunction with credible data will help managers in decision making for enhanced safety and security solutions for container terminals. Key-Words: - Data Envelopment Analysis, DEA, Intermodal, Security, Safety 1 Introduction Container Traffic is expected to more than double the next decades. The United States Department of Transportation (U.S. DOT) has predicted the container traffic to increase from about 50 million TEUs (Twenty-Foot Equivalent Units) in 2007 to 200 million TEUs in 2037 with a five percent annual increase rate. [1] It is therefore extremely important to implement current and efficient security solutions at the intermodal connections to minimize congestion and cost expenditures when the cargo is moved from one transportation mode to another. Being able to evaluate the current safety and security systems at container port terminals is therefore essential in management decision making to identify potential solutions for improvement. Traffic congestion and aging of the intermodal transportation facilities is already a rising problem because the funding for intermodal security is distributed by mode. Port of Miami is a good example where congestion is increasing. The aging of the intermodal aspects of the port cause problems for the freight when moved from vessels to trucks. It is important to address this problem because the cargo is most often moved by more than one transportation mode from origin to destination. Keeping the connections efficient and current will therefore help to ensure a smooth flow of goods and reduce errors. A mathematical tool, Data Envelopment Analysis (DEA), will be applied in study to assess and analyze the efficiency of selected container ports in the United States. Fast loading and protection of the goods is some of the key functions of a harbor. A DEA model is therefore designed with safety and security-related variables to optimize the efficiency of the security operations of the intermodal aspect of each selected container port. DEA is a well established mathematical technique that can be applied to analyze the efficiency of homogenous operating units. DEA is a nonparametric method for analyzing relative efficiency of a decision making unit (DMU) which is the entity whose efficiency is to be measured compared to other entities of its kind. Charnes, Cooper, and Rhodes first introduced DEA in ISSN: ISBN:

2 They developed the CCR model that was an optimization method for measuring relative efficiency by multiple-output/multiple-input cases. [2] They generalized Farrell s (1957) singleoutput/input technical-efficiency measure to a multiple-output/multiple-input case by constructing a single virtual output to a single virtual input relative-efficiency measure. According to Charnes et al. the relative efficiency of any DMU is measured by forming the ratio of a weighted sum of outputs to a weighted sum of inputs, where the weights for both outputs and inputs are to be selected in a manner that calculates the Pareto efficiency measure of each DMU subject to the constraint that no DMU can have a relative efficiency score greater than one. [3] The efficiencies captured by a DEA model are relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. In many practical situations there is also a lack of sufficient information to derive the absolute efficiency. [4] DEA methodology can be utilized in a variety of fields. It has been applied to areas such as universities, warehouses, benchmarking, health care systems, banking, and transportation. DEA, in conjunction with other arithmetic methods, has been applied a number of times to assess the efficiency of container terminals and ports, both from technical and economical standpoints. For instance, Kaisar et al. applied DEA to analyze port productivity in the US. [5] Also, Turner et al. used DEA methodology to measure containerport productivity. [6] The methodology presented here, however, focuses on the safety and security aspect of the port operations to maximize the efficiency when cargo is moved from one mode of transportation to another. 2 Methodology 2.1 DEA Concept DEA is a method to analyze relative efficiency by optimizing on each DMU that is being assessed. The focus of DEA is to optimize on each DMU rather than forming population averages. DMUs that are considered efficient by DEA validate the following; for a given input, X, there is no other facility that gives a higher output, Y. The result from the DEA assessment also provides benchmarks that inefficient DMUs can relate to. Banker, Charnes, and Cooper developed one of the most utilized DEA models these days, i.e. the BCC model. They extended the CCR model that only allow for constant return to scale to the BCC model that accommodates technologies that exhibit variable return to scale (VRS). [2] The BCC model has two main approaches; input-oriented and outputoriented. Both approaches will be applied in this study to identify and analyze the efficiency of the current security systems at container terminals. The input-oriented BCC model focuses on optimizing the efficiency by reduction of the inputs, whereas the output-oriented approach focuses on optimizing the efficiency by increasing the output variables. The primal formulations related to these BCC models are presented next. 2.2 Input-Oriented BCC Primal The BCC DEA model for assessing input efficiency of DMUj is shown in formulation (1). The Input- Oriented BCC Primal model shown in formulation (1) was introduced by Charnes et al. [3] min θ, λ,s, s s.t. θ X o λ θ ε 1 s ε (1) z o = 1 s Y λ s = Y 1 1 λ, s, Xλ s s 0 o = 0 where: zo: efficiency score. θ: scalar variable by which the current input level has to be multiplied with in order to increase efficiency. s, s - : vectors that contain the output and input slacks, respectively. ε: a non-archimedean constant that allows the minimization over θ to preempt the optimization involving the slacks. λ: intensity vector. Y, X: Y is a non-negative output matrix and X a non-negative input matrix, with ith columns Yi and Xi, respectively. The evaluation of each DMUj, j = 1, 2,..., n, are characterized by different parameters. The scalar variable θj, 0 < θj 1 is the proportional reduction applied to all inputs of DMUo. The subscript (o) denotes the DMU whose efficiency is being evaluated. The parameter λj = (λj1, λj2,..., λjn) is a vector describing the percentages of reference to the efficient DMUs. The input-oriented model attempts via θ to minimize the input without increasing the given output level. Since ε allows the ISSN: ISBN:

3 minimization over θ to preempt the optimization involving the slacks, the optimization can be computed in two stages: 1) maximal reduction of inputs being achieved first via θ; and 2) movement onto the efficient frontier via the slack variable s and s -. [3] 2.3 Output-Oriented BCC Primal In the output-oriented approach, the focus shift from minimizing the input to maximizing the output. The BCC DEA model for assessing output efficiency of DMUj is shown in formulation (2). The Output- Oriented BCC Primal model shown in formulation (2) was introduced by Charnes et al. [3] max φ, λ,s, s ε (2) z o = Φ 1 s ε 1 s s.t. ΦY o Yλ s = 0 X λ s = λ 1 = 1 λ, s, s 0 X o where: zo: efficiency score. Φ: scalar variable by which the current output level has to be multiplied with in order to increase efficiency. s, s - : vectors that contain the output and input slacks, respectively. ε: allows the maximization over Φ to preempt the optimization involving the slacks λ: intensity vector. Y, X: Y is a non-negative output matrix and X a non-negative input matrix, with ith columns Yi and Xi, respectively. The output-oriented model attempts via Φ to maximize the output without reducing the given input level. The non-archimedean constant, ε, allows the maximization over Φ to preempt the optimization involving the slacks. Thus, the optimization can be computed in two stages: 1) maximal expansion of outputs being achieved firs via Φ; and 2) movement onto the efficient frontier via the slack variable s and s -. [3] 2.4 Selection of Variables When developing a DEA model, the selection of input and output variables is very important. It is critical to include all inputs that impact the outcome and capture all the considerable outcomes that are to be assessed. Table 1 comprises all the chosen input and output variables together with appropriate short forms. After selecting the variables, the related data must be assembled for the given time period. Data gathering is a complex process because some of the variables consist of sensitive security information. The data for the input variables has been estimated whereas the data for the three output variables are obtained from the Bureau of Transportation Statistics and the American Association of Port Authorities. Table 1 Input and Output Variables Variable # Definition Short Form Inputs 1i Number of security checkpoints for cargo Sec. check. cargo 2i Number of police/law Law enf. off. enforcement officers 3i Number of safety and Incidents security-related incidents 4i Number of safety and Accidents security-related accidents Outputs 1o Millions of short tons Short Tons 2o Total port calls Port Calls 3o Container port traffic in TEU volume TEU 3 Case Study Application For this study, 18 containerport terminals in the United States have been chosen for the assessment of the proposed DEA model. Table 2 shows the selected containerports for this study. These ports are ideal for the study area because they present the major containerport terminals in the US in terms of TEU volume, tons of freight, and port calls. [5] The time period for the study is eight years, from 2000 to This time frame is mainly chosen because of the latest availability of data and statistics. In order to validate the developed DEA model for this study, several scenarios have been applied and investigated. A Microsoft Excel add-in developed by Zhu has been used to measure the relative efficiency of the selected containerport terminals. [7] The DEAFronter measures the following: relative efficiency, targets, slacks, and benchmarks. Both the input-oriented and the output-oriented approaches have been applied in the assessment. ISSN: ISBN:

4 Table 2 Sample of Containerports Port # Port Name 1 Los Angeles 2 Long Beach 3 New York 4 Seattle 5 Tacoma 6 Savannah 7 Houston 8 Norfolk 9 Oakland 10 Charleston 11 Port Everglades 12 Miami 13 Palm Beach 14 Canaveral 15 Tampa 16 Jacsonville 17 Port Manatee 18 San Diego 1 Results and Analysis To develop a DEA model to assess the efficiency of the security systems at containerport terminals, a variety of scenarios have been applied and analyzed. Both the input-oriented and output-oriented DEA approaches have been applied for the assessment. For both approaches, the DMUs receiving efficiency equal to 1 are relative efficient compared to the other DMUs in the model. For the input-oriented approach, the DMUs receiving efficiency less than 1 is inefficient, whereas for the output-oriented approach the DMUs receiving efficiency greater than 1 is inefficient. A scenario presenting the DEA model with the proposed variables and the 18 containerports are presented next. For the presented scenario in this study, an assessment of the 18 seaports together with the selected variables has been carried out for the full time period, A sample of the data collected for 2007 is shown in Table 3. Given the 18 port terminals studied over an eight year period, the maximum sample size would be 144 observations. The availability of data, however, will affect the actual sample size. Because the DEA model requires values greater than zero for all variables, missing data within any observation will result in an exclusion of that observation from the sample. San Diego was therefore not included in the DEA model for 2000 and 2001 because the port did not have any reported TEU volume for these years. Consequently, the number of observations for this scenario was 142. Figure 1 illustrates the efficiency score obtained by the DEA model under input minimization, whereas Figure 2 shows the efficiency score obtained under output maximization. It is apparent from both approaches that several ports can improve the efficiency of their security system by either reducing the input or increasing the output. For example, Port Manatee that stands out as one of the worst performers could either try to enhance their efficiency by reducing their input data, increasing their operations, or a combination of the two. The DEA model also calculates targets and benchmarks that inefficient ports can relate to when trying to improve efficiency. The target will show optimal values for all the input and output variables for each containerport terminal in the assessment. The benchmarks on the other hand will indicate what port/ports an inefficient port should measure itself up to when trying to optimize efficiency. 4 Conclusion There is a need for efficient and current security systems at container terminals to meet the predicted growing market of container traffic and other port services. Improved security solutions will also facilitate economic development and help to keep the United States safe from terrorist attacks and other threats. The contribution of the study is a mathematical model that can measure the efficiency of the security systems at containerport terminals. The resulted DEA methodology can be used to assess the relative efficiency of the security operations at containerport terminals. The mathematical model is general in its framework and can therefore also be applied to other containerport terminals in the United States or globally. The success of the mathematical model, however, depends on the accurate and reliable data from several sources. Since the study involves sensitive security information of large containerport terminals, the accuracy of the estimated data is questionable, in some respects. Availability of data, complimented with the presented DEA methodology will help managers in decision making for enhanced safety and security solutions for containerport terminals. Decision makers, however, need to carefully evaluate different aspects of the terminal operations when considering improving the efficiency level of an inefficient container terminal. Lowering the number of law enforcement officers for example might make the port more efficient because one of the input variables is reduced, but it will also possibly result in more accidents and incidents and consequently lowering the efficiency again. ISSN: ISBN:

5 DMU No. DMU Name Table 3 Data for the Containerport Terminals for 2007 Sec. Check. Cargo Law Enf. Off. Incidents Accidents Short Tons Port Calls (1i) (2i) (3i) (4i) (1o) (2o) (3o) 1 Los Angeles, Long Beach, New York, Seattle, Tacoma, Savannah, Houston, Norfolk, Oakland, Charleston, Port Everglades, Miami, Palm Beach, Canaveral, Tampa, Jacksonville, Port Manatee, San Diego, TEU Efficiency Input-Oriented Approach Year Fig. 1 Input-oriented VRS efficiency for scenario 1. Los Angeles Long Beach New York Seattle Tacoma Savannah Houston Norfolk Oakland Charleston Port Everglades Miami Palm Beach Canaveral Tampa Jacksonville Port Manatee San Diego ISSN: ISBN:

6 Efficiency Output-Oriented Approach Year Fig. 2 Output-oriented VRS efficiency for scenario 1. Los Angeles Long Beach New York Seattle Tacoma Savannah Houston Norfolk Oakland Charleston Port Everglades Miami Palm Beach Canaveral Tampa Jacksonville Port Manatee San Diego References: [1] U.S. DOT (2007). The Maritime Administration and the U.S. Marine Transportation System: A Vision for the 21st Century, Washington, DC, USA. [2] Ray, S.C. Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research, Press Syndicate of the University of Cambridge, UK, [3] Charnes, A., W. W Cooper, A. Y. Lewin, and L. M. Seiford. Data Envelopment Analysis: Theory, Methodology, and Application, Kluwer Academic Publishers, USA, [4] Thanassoulis, E. Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software, Kluwer Academic Publishers, USA, [5] Kaisar, E. I., S. Pathomsiri, and A. Haghani. Efficiency Measurement of US Ports Using Data Envelopment Analysis. National Urban Freight Conference, February 1-3, [6] Turner, H., R. Windle, and M. Dresner. North American containerport productivity: Transportation Research, Part E, 40, 2004, pp [7] Zhu, J. Quantitative Models for Performance Evaluation and Benchmarking; Data Envelopment Analysis with Spreadsheet and DEA Excel Solver, Kluwer Academic Publisher, Boston, USA, ISSN: ISBN:

The efficiency of fleets in Serbian distribution centres

The efficiency of fleets in Serbian distribution centres The efficiency of fleets in Serbian distribution centres Milan Andrejic, Milorad Kilibarda 2 Faculty of Transport and Traffic Engineering, Logistics Department, University of Belgrade, Belgrade, Serbia

More information

DEA implementation and clustering analysis using the K-Means algorithm

DEA implementation and clustering analysis using the K-Means algorithm Data Mining VI 321 DEA implementation and clustering analysis using the K-Means algorithm C. A. A. Lemos, M. P. E. Lins & N. F. F. Ebecken COPPE/Universidade Federal do Rio de Janeiro, Brazil Abstract

More information

Nonlinear Arash Model in DEA

Nonlinear Arash Model in DEA Research Journal of Applied Sciences, Engineering and Technology 5(17): 4268-4273, 2013 ISSN: 2040-7459; e-issn: 2040-7467 Maxwell Scientific Organization, 2014 Submitted: July 27, 2012 Accepted: September

More information

Estimating most productive scale size in DEA with real and integer value data

Estimating most productive scale size in DEA with real and integer value data Available online at http://ijim.srbiau.ac.ir/ Int. J. Industrial Mathematics (ISSN 2008-5621) Vol. 6, No. 2, 2014 Article ID IJIM-00342, 8 pages Research Article Estimating most productive scale size in

More information

Gautam Appa and H. Paul Williams A formula for the solution of DEA models

Gautam Appa and H. Paul Williams A formula for the solution of DEA models Gautam Appa and H. Paul Williams A formula for the solution of DEA models Working paper Original citation: Appa, Gautam and Williams, H. Paul (2002) A formula for the solution of DEA models. Operational

More information

Data Envelopment Analysis: A Primer for Novice Users and Students at all Levels

Data Envelopment Analysis: A Primer for Novice Users and Students at all Levels Data Envelopment Analysis: A Primer for Novice Users and Students at all Levels R. Samuel Sale Lamar University Martha Lair Sale Florida Institute of Technology In the three decades since the publication

More information

Application of Data Envelopment Analysis Approach to Improve Economical Productivity of Apple Fridges

Application of Data Envelopment Analysis Approach to Improve Economical Productivity of Apple Fridges International Research Journal of Applied and Basic Sciences 2013 Available online at www.irjabs.com ISSN 2251-838X / Vol, 4 (6): 1603-1607 Science Explorer Publications Application of Data Envelopment

More information

How to deal with numbers of decision making units and variables in data envelopment analysis

How to deal with numbers of decision making units and variables in data envelopment analysis How to deal with numbers of decision making units and variables in data envelopment analysis Dariush Khezrimotlagh * Department of Applied Statistics, Faculty of Economics and Administration, University

More information

ANALYTIC HIERARCHY PROCESS AS A RANKING TOOL FOR DECISION MAKING UNITS

ANALYTIC HIERARCHY PROCESS AS A RANKING TOOL FOR DECISION MAKING UNITS ISAHP Article: Jablonsy/Analytic Hierarchy as a Raning Tool for Decision Maing Units. 204, Washington D.C., U.S.A. ANALYTIC HIERARCHY PROCESS AS A RANKING TOOL FOR DECISION MAKING UNITS Josef Jablonsy

More information

Performance Analysis of Coal fired Power Plants in India

Performance Analysis of Coal fired Power Plants in India Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management Dhaka, Bangladesh, January 9 10, 2010 Performance Analysis of Coal fired Power Plants in India Santosh

More information

VALIDITY EXAMINATION OF EFQM S RESULTS BY DEA MODELS

VALIDITY EXAMINATION OF EFQM S RESULTS BY DEA MODELS VALIDITY EXAMINATION OF EFQM S RESULTS BY DEA MODELS Madjid Zerafat Angiz LANGROUDI University Sains Malaysia (USM), Mathematical Group Penang, Malaysia E-mail: mzarafat@yahoo.com Gholamreza JANDAGHI,

More information

Stochastic Data Envelopment Analysis: Oriented and Linearized Models

Stochastic Data Envelopment Analysis: Oriented and Linearized Models Stochastic Data Envelopment Analysis: Oriented and Linearized Models František Brázdik January 2004 Abstract In this paper the chance constrained problems for DEA analysis are constructed. The goal is

More information

Efficiency in Software Development Projects

Efficiency in Software Development Projects Efficiency in Software Development Projects Aneesh Chinubhai Dharmsinh Desai University aneeshchinubhai@gmail.com Abstract A number of different factors are thought to influence the efficiency of the software

More information

The world s delivery system for consumer goods, components, and commodities is overloaded.

The world s delivery system for consumer goods, components, and commodities is overloaded. From Mercer Management Journal 19 Delivery Jam How will the world s freight networks cope with surging demand? By Mark Kadar and Manny Hontoria Shipping ports, trains, and trucks are running flat out to

More information

Abstract. Keywords: Data Envelopment Analysis (DEA), decision making unit (DMU), efficiency, Korea Securities Dealers Automated Quotation (KOSDAQ)

Abstract. Keywords: Data Envelopment Analysis (DEA), decision making unit (DMU), efficiency, Korea Securities Dealers Automated Quotation (KOSDAQ) , pp. 205-218 http://dx.doi.org/10.14257/ijseia.2015.9.5.20 The Efficiency Comparative Evaluation of IT Service Companies using the Data Envelopment Analysis Approach Focus on KOSDAQ(KOrea Securities Dealers

More information

The Dynamics of the US Container Market and Shifting Trade Patterns Implications for East Coast and Gulf Coast Ports March 15, 2012

The Dynamics of the US Container Market and Shifting Trade Patterns Implications for East Coast and Gulf Coast Ports March 15, 2012 The Dynamics of the US Container Market and Shifting Trade Patterns Implications for East Coast and Gulf Coast Ports March 15, 2012 Jeff Sweeney Martin Associates 941 Wheatland Avenue, Suite 203 Lancaster,

More information

Data Envelopment Analysis - Basic Models and their Utilization

Data Envelopment Analysis - Basic Models and their Utilization DOI: 10.2478/v10051-009-0001-6 Data Envelopment Analysis - Basic Models and their Utilization Milan M. Marti} 1, Marina S. Novakovi} 1, Alenka Baggia 2 1University of Belgrade, Faculty of Organizational

More information

Clustering-Based Method for Data Envelopment Analysis. Hassan Najadat, Kendall E. Nygard, Doug Schesvold North Dakota State University Fargo, ND 58105

Clustering-Based Method for Data Envelopment Analysis. Hassan Najadat, Kendall E. Nygard, Doug Schesvold North Dakota State University Fargo, ND 58105 Clustering-Based Method for Data Envelopment Analysis Hassan Najadat, Kendall E. Nygard, Doug Schesvold North Dakota State University Fargo, ND 58105 Abstract. Data Envelopment Analysis (DEA) is a powerful

More information

Quantitative Methods in Regulation

Quantitative Methods in Regulation Quantitative Methods in Regulation (DEA) Data envelopment analysis is one of the methods commonly used in assessing efficiency for regulatory purposes, as an alternative to regression. The theoretical

More information

European Journal of Operational Research

European Journal of Operational Research European Journal of Operational Research 207 (2010) 1506 1518 Contents lists available at ScienceDirect European Journal of Operational Research journal homepage: www.elsevier.com/locate/ejor Decision

More information

Measuring the efficiency in the Czech banking industry: Data Envelopment Analysis and Malmquist index

Measuring the efficiency in the Czech banking industry: Data Envelopment Analysis and Malmquist index Measuring the efficiency in the Czech banking industry: Data Envelopment Analysis and Malmquist index Iveta Řepková 1 1 Introduction Abstract. This paper estimates the technical efficiency and the efficiency

More information

A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program

A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program by Tim Coelli Centre for Efficiency and Productivity Analysis Department of Econometrics University of New England Armidale,

More information

Literature Survey. 1.1 Industry Profile. indiastat.com September - October, 2012 1 socio - economic voices

Literature Survey. 1.1 Industry Profile. indiastat.com September - October, 2012 1 socio - economic voices The Technical Efficiency of Automotive Components Clusters in India (Dr.E. Bhaskaran.B.E, M.B.A., Ph.D., M.I.E., (D.Sc)., Deputy Director of Industries and Commerce, Government of Tamil Nadu) Introduction

More information

EMS: Efficiency Measurement System User s Manual

EMS: Efficiency Measurement System User s Manual EMS: Efficiency Measurement System User s Manual Holger Scheel Version 1.3 2000-08-15 Contents 1 Introduction 2 2 Preparing the input output data 2 2.1 Using MS Excel files..............................

More information

Sensitivity analysis of Integer DEA efficiency scores

Sensitivity analysis of Integer DEA efficiency scores Sensitivity analysis of Integer DEA efficiency scores Zahra Ghelej Beigi 1Department of Mathematics, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Iran Nazila. Aghayi 2 Young Researches Club, Islamic

More information

November 22, 2010 Service of Process as Follows:

November 22, 2010 Service of Process as Follows: November 22, 2010 Service of Process as Follows: "Ports America" is the brand name for products and services provided by one or more of the Ports America group of subsidiary companies. Please make a selection

More information

Mathematical Programming Technique to Evaluate Indian Rural Health Care Programs-An Empirical Study

Mathematical Programming Technique to Evaluate Indian Rural Health Care Programs-An Empirical Study Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 6, 2012 Mathematical Programming Technique to Evaluate Indian Rural Health

More information

FLORIDA DEPARTMENT OF TRANSPORTATION. 2012 Florida Redevelopment Association Annual Conference October 24-26, 2012

FLORIDA DEPARTMENT OF TRANSPORTATION. 2012 Florida Redevelopment Association Annual Conference October 24-26, 2012 FLORIDA DEPARTMENT OF TRANSPORTATION 2012 Florida Redevelopment Association Annual Conference October 24-26, 2012 Presentation Outline Freight Mobility & Trade Plan Background Status of the plan Passenger

More information

Data Envelopment Analysis Approach and Its Application in Information and Communication Technologies

Data Envelopment Analysis Approach and Its Application in Information and Communication Technologies Data Envelopment Analysis Approach and Its Application in Information and Communication Technologies Violeta Cvetkoska Faculty of Economics, University Ss. Cyril and Methodius Skopje, Skopje, R. Macedonia,

More information

Operational Efficiency and Firm Life Cycle in the Korean Manufacturing Sector

Operational Efficiency and Firm Life Cycle in the Korean Manufacturing Sector , pp.151-155 http://dx.doi.org/10.14257/astl.2015.114.29 Operational Efficiency and Firm Life Cycle in the Korean Manufacturing Sector Jayoun Won 1, Sang-Lyul Ryu 2 1 First Author, Visiting Researcher,

More information

Bank efficiency evaluation using a neural network-dea method

Bank efficiency evaluation using a neural network-dea method Iranian Journal of Mathematical Sciences and Informatics Vol. 4, No. 2 (2009), pp. 33-48 Bank efficiency evaluation using a neural network-dea method G. Aslani a,s.h.momeni-masuleh,a,a.malek b and F. Ghorbani

More information

DEA-BASED INVESTMENT STRATEGY AND ITS APPLICATION IN THE CROATIAN STOCK MARKET

DEA-BASED INVESTMENT STRATEGY AND ITS APPLICATION IN THE CROATIAN STOCK MARKET DEA-BASED INVESTMENT STRATEGY AND ITS APPLICATION IN THE CROATIAN STOCK MARKET Margareta Gardijan Faculty of Economics and Business, University of Zagreb Trg. J. F. Kennedyja 6, 10000 Zagreb E-mail: mgardijan@efzg.hr

More information

Florida Transportation Commission: A Meeting of the Modes

Florida Transportation Commission: A Meeting of the Modes Florida Transportation Commission: A Meeting of the Modes Corridors of the Future: A National and I-95 Corridor Perspective George Schoener, Executive Director I-95 Corridor Coalition February 12, 2007

More information

AN EVALUATION OF FACTORY PERFORMANCE UTILIZED KPI/KAI WITH DATA ENVELOPMENT ANALYSIS

AN EVALUATION OF FACTORY PERFORMANCE UTILIZED KPI/KAI WITH DATA ENVELOPMENT ANALYSIS Journal of the Operations Research Society of Japan 2009, Vol. 52, No. 2, 204-220 AN EVALUATION OF FACTORY PERFORMANCE UTILIZED KPI/KAI WITH DATA ENVELOPMENT ANALYSIS Koichi Murata Hiroshi Katayama Waseda

More information

Research Methodology. Area of Study

Research Methodology. Area of Study TECHNICAL EFFICIENCY OF DATA ENVELOPMENT ANALYSIS: AN APPLICATION IN ROAD FREIGHT TRANSPORTATION Kasypi Mohtar School of Business Studies and Maritime Management Universiti Malaysia Terengganu (corresponding

More information

COMPUTATIONS IN DEA. Abstract

COMPUTATIONS IN DEA. Abstract ISSN 0101-7438 COMPUTATIONS IN DEA José H. Dulá School of Business Administration The University of Mississippi University MS 38677 E-mail: jdula@olemiss.edu Received November 2001; accepted October 2002

More information

Measuring Information Technology s Indirect Impact on Firm Performance

Measuring Information Technology s Indirect Impact on Firm Performance Information Technology and Management 5, 9 22, 2004 2004 Kluwer Academic Publishers. Manufactured in The Netherlands. Measuring Information Technology s Indirect Impact on Firm Performance YAO CHEN Yao_Chen@uml.edu

More information

Office of Transportation Analysis. America's Leading Seaports. Matthew Chambers

Office of Transportation Analysis. America's Leading Seaports. Matthew Chambers Office of Transportation Analysis America's Leading Seaports Matthew Chambers 1 America's Leading Seaports - Abstract Highways, railways, and waterways radiate from U.S. seaports. Seaports are gateways

More information

Executive Summary. Transportation and Economic Impacts of the Freight Industry in Miami-Dade County. Miami-Dade Metropolitan Planning Organization

Executive Summary. Transportation and Economic Impacts of the Freight Industry in Miami-Dade County. Miami-Dade Metropolitan Planning Organization Transportation and Economic Impacts of the Freight Industry in Miami-Dade County Executive Summary prepared for Miami-Dade Metropolitan Planning Organization prepared by Cambridge Systematics, Inc. with

More information

Technical Efficiency Accounting for Environmental Influence in the Japanese Gas Market

Technical Efficiency Accounting for Environmental Influence in the Japanese Gas Market Technical Efficiency Accounting for Environmental Influence in the Japanese Gas Market Sumiko Asai Otsuma Women s University 2-7-1, Karakida, Tama City, Tokyo, 26-854, Japan asai@otsuma.ac.jp Abstract:

More information

PORT INFRASTRUCTURES TOC AMERICAS PANAMA CITY OCTOBER 14TH, 2015 MANUEL C. KABANA FRIOPUERTO INVESTMENT, SPAIN

PORT INFRASTRUCTURES TOC AMERICAS PANAMA CITY OCTOBER 14TH, 2015 MANUEL C. KABANA FRIOPUERTO INVESTMENT, SPAIN PORT INFRASTRUCTURES TOC AMERICAS PANAMA CITY OCTOBER 14TH, 2015 MANUEL C. KABANA FRIOPUERTO INVESTMENT, SPAIN PORT SELECTION FACTORS BY CATEGORIES(I) PORT LOGISTICS COSTS SERVICE LEVELS 1. PORT DUTIES

More information

X. Economic Development Element Goals, Objectives and Policies. 1. Created by Ordinance 2011-9

X. Economic Development Element Goals, Objectives and Policies. 1. Created by Ordinance 2011-9 X. Economic Development Element Goals, Objectives and Policies 1. Created by Ordinance 2011-9 X. Economic Development Element GOAL X-1: GLADES COUNTY STRIVES TO CREATE A POSITIVE BUSINESS CLIMATE FOR ECONOMIC

More information

TECHNICAL EFFICIENCY OF POLISH COMPANIES OPERATING IN THE COURIERS AND MESSENGERS SECTOR - THE APPLICATION OF DATA ENVELOPMENT ANALYSIS METHOD

TECHNICAL EFFICIENCY OF POLISH COMPANIES OPERATING IN THE COURIERS AND MESSENGERS SECTOR - THE APPLICATION OF DATA ENVELOPMENT ANALYSIS METHOD QUANTITATIVE METHODS IN ECONOMICS Vol. XV, No. 2, 2014, pp. 339 348 TECHNICAL EFFICIENCY OF POLISH COMPANIES OPERATING IN THE COURIERS AND MESSENGERS SECTOR - THE APPLICATION OF DATA ENVELOPMENT ANALYSIS

More information

2040 Southeast Florida Regional Freight Plan

2040 Southeast Florida Regional Freight Plan 2040 Southeast Florida Regional Freight Plan Presented to Palm Beach MPO Board Presented by Michael Williamson & Erin Kersh Cambridge Systematics, Inc. May 21, 2015 Southeast Florida Has Made Significant

More information

Route-Based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis

Route-Based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis Route-Based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis Agnese Rapposelli Abstract Frontier analysis methods, such as Data Envelopment Analysis (DEA),

More information

Hybrid Data Envelopment Analysis and Neural Networks for Suppliers Efficiency Prediction and Ranking

Hybrid Data Envelopment Analysis and Neural Networks for Suppliers Efficiency Prediction and Ranking 1 st International Conference of Recent Trends in Information and Communication Technologies Hybrid Data Envelopment Analysis and Neural Networks for Suppliers Efficiency Prediction and Ranking Mohammadreza

More information

Corridors & Other Initiatives. Future of Florida Virtual Seminar Series

Corridors & Other Initiatives. Future of Florida Virtual Seminar Series FDOT Up-Close: Future Corridors & Other Initiatives Future of Florida Virtual Seminar Series June 6, 2012 Today s Presenters Kathleen Neill Director, Office of Policy Planning Bob Romig State Transportation

More information

Performance Evaluation of the Public Libraries in USA Using Data Envelopment Analysis

Performance Evaluation of the Public Libraries in USA Using Data Envelopment Analysis International Journal of Applied Science and echnology Vol. 4 No. 2; March 2014 Performance Evaluation of the Public Libraries in USA Using Data Envelopment Analysis Ping Li Graduate School of Library

More information

Fact Sheet RITA. Atlantic Coast U.S. Seaports. By Matthew Chambers. Select Atlantic Coast U.S. Seaports. Figure 1: Atlantic Coast U.S.

Fact Sheet RITA. Atlantic Coast U.S. Seaports. By Matthew Chambers. Select Atlantic Coast U.S. Seaports. Figure 1: Atlantic Coast U.S. FS-00 RIA Bureau of ransportation Statistics Fact Sheet Atlantic Coast U.S. Seaports October 00 By Matthew Chambers Atlantic coast U.S. seaports from Eastport, M(, through Key West, FL, are preparing for

More information

METHODOLOGY FOR PRIORITIZATION OF INVESTMENTS TO SUPPORT THE ARMY ENERGY STRATEGY FOR INSTALLATIONS

METHODOLOGY FOR PRIORITIZATION OF INVESTMENTS TO SUPPORT THE ARMY ENERGY STRATEGY FOR INSTALLATIONS METHODOLOGY FOR PRIORITIZATION OF INVESTMENTS TO SUPPORT THE ARMY ENERGY STRATEGY FOR INSTALLATIONS by George Alsfelder, Timothy Hartong, Michael Rodriguez, and John V. Farr Center for Nation Reconstruction

More information

Nursing Home Quality, Chain Affiliation, Profit Status and Performance

Nursing Home Quality, Chain Affiliation, Profit Status and Performance Nursing Home Quality, Chain Affiliation, Profit Status and Performance Authors Randy I. Anderson, H. Shelton Weeks, Bradley K. Hobbs and James R. Webb Abstract This article is the winner of the Seniors

More information

Evaluating Cloud Services Using DEA, AHP and TOPSIS model Carried out at the

Evaluating Cloud Services Using DEA, AHP and TOPSIS model Carried out at the A Summer Internship Project Report On Evaluating Cloud Services Using DEA, AHP and TOPSIS model Carried out at the Institute of Development and Research in Banking Technology, Hyderabad Established by

More information

DEA for Establishing Performance Evaluation Models: a Case Study of a Ford Car Dealer in Taiwan

DEA for Establishing Performance Evaluation Models: a Case Study of a Ford Car Dealer in Taiwan DEA for Establishing Performance Evaluation Models: a Case Study of a Ford Car Dealer in Taiwan JUI-MIN HSIAO Department of Applied Economics and management, I-Lan University, TAIWAN¹, jmhsiao@ems.niu.edu.tw

More information

Non-parametric Approach for Evaluating the Performance of Engineering Schools*

Non-parametric Approach for Evaluating the Performance of Engineering Schools* Int. J. Engng Ed. Vol. 26, No. 5, pp. 1210 1219, 2010 0949-149X/91 $3.00+0.00 Printed in Great Britain. # 2010 TEMPUS Publications. Non-parametric Approach for Evaluating the Performance of Engineering

More information

EFFICIENCY CHANGE IN REGIONAL AIRPORTS DURING MARKET LIBERALIZATION

EFFICIENCY CHANGE IN REGIONAL AIRPORTS DURING MARKET LIBERALIZATION Wojciech Augustyniak 85 Wojciech Augustyniak, Efficiency Change in Regional Airports During Market Liberalization,, pp. 85-93. DOI: 10.14254/2071-789X.2014/7-1/8 Wojciech Augustyniak PhD Department of

More information

Evaluation of Logistics Companies Using Data Envelopment Analysis

Evaluation of Logistics Companies Using Data Envelopment Analysis Evaluation of Logistics Companies Using Data Envelopment Analysis W. Chandraprakaikul * and A. Suebpongsakorn ** * University of the Thai Chamber of Commerce/School of Engineering, Bangkok, Thailand **

More information

Virtual Weigh Stations in California: A Preliminary Cost-Effectiveness Analysis

Virtual Weigh Stations in California: A Preliminary Cost-Effectiveness Analysis CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORNIA, BERKELEY Virtual Weigh Stations in California: A Preliminary Cost-Effectiveness Analysis Nicholas Santero, William

More information

A generalized performance attribution technique for mutual funds

A generalized performance attribution technique for mutual funds WORKING PAPER n.01.08 Settembre 2001 A generalized performance attribution technique for mutual funds A. Basso a S. Funari b a. Department of Applied Mathematics B. de Finetti University of Trieste b.

More information

Efficiency in the Canadian Life Insurance Industry: Some Preliminary Results Using DEA

Efficiency in the Canadian Life Insurance Industry: Some Preliminary Results Using DEA Efficiency in the Canadian Life Insurance Industry: Some Preliminary Results Using DEA Gilles Bernier, Ph.D., Industrial-Alliance Insurance Chair, Laval University, Québec City Komlan Sedzro, Ph.D., University

More information

Charting the Future of the Carolinas - Forging an Integrated Economic Growth Strategy for the Next 50 Years

Charting the Future of the Carolinas - Forging an Integrated Economic Growth Strategy for the Next 50 Years Charting the Future of the Carolinas - Forging an Integrated Economic Growth Strategy for the Next 50 Years Global Vision Leaders Group Prepared by John Paul Galles jgalles@greatercharlottebiz.com 704-676-5850

More information

P u b l i c P o l i c y D i v i s i o n

P u b l i c P o l i c y D i v i s i o n William J. Diehl, CAPT USCG (Ret.) Chairman, Ports Task Force Greater Houston Partnership Testimony before the Texas House Transportation Committee Entitled The Panama Canal s Expansion Effect on Texas

More information

Measuring the Relative Efficiency of European MBA Programs:A Comparative analysis of DEA, SBM, and FDH Model

Measuring the Relative Efficiency of European MBA Programs:A Comparative analysis of DEA, SBM, and FDH Model Measuring the Relative Efficiency of European MBA Programs:A Comparative analysis of DEA, SBM, and FDH Model Wei-Kang Wang a1, Hao-Chen Huang b2 a College of Management, Yuan-Ze University, ameswang@saturn.yzu.edu.tw

More information

Truck Diversion Forecasts. DRAFT Executive Summary

Truck Diversion Forecasts. DRAFT Executive Summary Truck Diversion Forecasts DRAFT Executive Summary February 2008 The Texas Department of Transportation Transportation Planning and Programming Division La Entrada Al Pacifico Feasibility Study Truck Diversion

More information

Methodology for analysing competitiveness, efficiency and economy of scale. Use and applications of DEA

Methodology for analysing competitiveness, efficiency and economy of scale. Use and applications of DEA FACEPA Farm Accountancy Cost Estimation and Policy Analysis of European Agriculture Methodology for analysing competitiveness, efficiency and economy of scale. Use and applications of DEA FACEPA Deliverable

More information

IMPROVEMENT OF COST EFFICIENCY IN STRAWBERRY GREENHOUSES BY DATA ENVELOPMENT ANALYSIS

IMPROVEMENT OF COST EFFICIENCY IN STRAWBERRY GREENHOUSES BY DATA ENVELOPMENT ANALYSIS IMPROVEMENT OF COST EFFICIENCY IN STRAWBERRY GREENHOUSES BY DATA ENVELOPMENT ANALYSIS Banaeian N., Omid M., Ahmadi H. Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering

More information

Virtual Weigh Stations: The Business Case

Virtual Weigh Stations: The Business Case Virtual Weigh Stations: The Business Case Technical Memorandum Prepared for Partners for Advanced Transit and Highways (PATH) Institute of Transportation Studies University of California, Berkeley and

More information

Trade Show Labor Rate Benchmarking Survey

Trade Show Labor Rate Benchmarking Survey 2011 Trade Show Labor Rate Benchmarking Survey EXHIBITOR COSTS IN 41 U.S. CITIES labor drayage audio visual exhibitor services eventmarketing.com eventmarketing.com Produced by in association with eventmarketing.com

More information

Applying Combine FAHP-DEA-ANP In Selecting Products

Applying Combine FAHP-DEA-ANP In Selecting Products Applying Combine FAHP-DEA-ANP In Selecting Products Pantea Maleki Moghadam-abyaneh Reza Raei Nojehdehi Esmaeel Najafi Department of Industrial Engineering, Science and Research branch, Islamic Azad University,

More information

Measuring Performance: An Introduction to Data Envelopment Analysis (DEA)

Measuring Performance: An Introduction to Data Envelopment Analysis (DEA) Measuring Performance: An Introduction to Data Envelopment Analysis (DEA) WILLIAM F. BOWLIN Department of Accounting, University of Northern Iowa, Cedar Falls, Ia. 50614-0127 Abstract. Data Envelopment

More information

The A in America s ACE 6/26/2015

The A in America s ACE 6/26/2015 The A in America s ACE 6/26/2015 Moffatt & Nichol Background Established in 1945 in Long Beach, California, currently: Offices in the Americas, Europe, Middle East and Pacific Rim Practices: Goods Movement,

More information

an introduction to Data Envelopment Analysis (DEA) for people unfamiliar with the technique.

an introduction to Data Envelopment Analysis (DEA) for people unfamiliar with the technique. Chapter 12 Data Envelopment Analysis Data Envelopment Analysis (DEA) is an increasingly popular management tool. This write-up is an introduction to Data Envelopment Analysis (DEA) for people unfamiliar

More information

Methods Of Measuring The Economy, Efficiency And Effectiveness Of Public Expenditure

Methods Of Measuring The Economy, Efficiency And Effectiveness Of Public Expenditure Methods Of Measuring The Economy, Efficiency And Effectiveness Of Public Expenditure ANNEX 7: August 2015 1 P a g e TABLE OF CONTENTS 1 Introduction... 3 2 PER Context... 3 3 Necessity of the measures...

More information

MEASURING EFFICIENCY OF AUSTRALIAN SUPERANNUATION FUNDS USING DATA ENVELOPMENT ANALYSIS. Yen Bui

MEASURING EFFICIENCY OF AUSTRALIAN SUPERANNUATION FUNDS USING DATA ENVELOPMENT ANALYSIS. Yen Bui MEASURING EFFICIENCY OF AUSTRALIAN SUPERANNUATION FUNDS USING DATA ENVELOPMENT ANALYSIS Yen Bui April 2013 Disclaimer and Copyright The material in this report is copyright of Yen Bui. The views and opinions

More information

Measurement Technology Applications in Performance Appraisal

Measurement Technology Applications in Performance Appraisal Progress in Nonlinear Dynamics and Chaos Vol. 1, 2013, 8-14 ISSN: 2321 9238 (online) Published on 30 April 2013 www.researchmathsci.org Progress in Measurement Technology Applications in Performance Appraisal

More information

STRATEGIC ASSET MANAGEMENT POLICY. For Real Property Assets

STRATEGIC ASSET MANAGEMENT POLICY. For Real Property Assets STRATEGIC ASSET MANAGEMENT POLICY For Real Property Assets August 8, 2013 TABLE OF CONTENTS Page Port Management. Sources of Information. ii iii Introduction.. 1, 2 General Provisions. 3 Portfolio Management

More information

PORT of TAMPA. Presentation to: Tampa Bay Applications Group May 2, 2013

PORT of TAMPA. Presentation to: Tampa Bay Applications Group May 2, 2013 PORT of TAMPA Presentation to: Tampa Bay Applications Group May 2, 2013 Port of Tampa Preparing for Growth in Trade & Logistics The Port of Tampa Largest, most diversified port in Florida $8 billion in

More information

ABSTRACT. By Sharyl Stasser Wooton

ABSTRACT. By Sharyl Stasser Wooton ABSTRACT DATA ENVELOPMENT ANALYSIS: A TOOL FOR SECONDARY EDUCATION RANKING AND BENCHMARKING By Sharyl Stasser Wooton Since the publishing of A Nation at Risk in 1983, the emerging trend in secondary education

More information

DETERMINANTS OF TECHNICAL EFFICIENCY: URBAN AND RURAL PUBLIC SCHOOLS IN THE STATE OF GEORGIA

DETERMINANTS OF TECHNICAL EFFICIENCY: URBAN AND RURAL PUBLIC SCHOOLS IN THE STATE OF GEORGIA DETERMINANTS OF TECHNICAL EFFICIENCY: URBAN AND RURAL PUBLIC SCHOOLS IN THE STATE OF GEORGIA Zulal S. Denaux, Valdosta State University ABSTRACT This study focuses on rural-urban public high school efficiency.

More information

Weighing Positive vs. Negative Factors: A Data Envelopment Analysis Technique

Weighing Positive vs. Negative Factors: A Data Envelopment Analysis Technique Eugenio María de Hostos Community College of The City University of New York Alexander Vaninsky avaninsky@hostos.cuny.edu Weighing Positive vs. Negative Factors: A Data Envelopment Analysis Technique Decision

More information

Using Freight Advanced Traveler Information Systems to Promote Urban Freight Mobility

Using Freight Advanced Traveler Information Systems to Promote Urban Freight Mobility Using Freight Advanced Traveler Information Systems to Promote Urban Freight Mobility Randy Butler FHWA Freight Operations and Technology FRATIS Program Manager Freight Specific ITS Applications are Needed

More information

Production Efficiency Analysis of Middle-sized and Small-sized Special Construction Company using a DEA model

Production Efficiency Analysis of Middle-sized and Small-sized Special Construction Company using a DEA model Production Efficiency Analysis of Middle-sized and Small-sized Special Construction Company using a DEA model Hyong Rok Lee 1, a, Sung Kon Moon 2, b, Kyung Hwan Kim 3, c, Jae Jun Kim 4, d 1 Master Course,

More information

TRANSPORTATION & COMMUNICATIONS NETWORK

TRANSPORTATION & COMMUNICATIONS NETWORK TRANSPORTATION & COMMUNICATIONS NETWORK Located in the heart of the Midwest, the Columbus Region provides easy access to major national and global markets. In fact, Inbound Logistics ranked Columbus as

More information

A Quantitative Decision Support Framework for Optimal Railway Capacity Planning

A Quantitative Decision Support Framework for Optimal Railway Capacity Planning A Quantitative Decision Support Framework for Optimal Railway Capacity Planning Y.C. Lai, C.P.L. Barkan University of Illinois at Urbana-Champaign, Urbana, USA Abstract Railways around the world are facing

More information

Distributed Generation in Electricity Networks

Distributed Generation in Electricity Networks Distributed Generation in Electricity Networks Benchmarking Models and Revenue Caps Maria-Magdalena Eden Robert Gjestland Hooper Endre Bjørndal Mette Bjørndal 2010 I Abstract The main focus of this report

More information

Efficiency Evaluation Bank Refah Kargaran Branches in Sistan and Baluchestan Province (S&B,Iran),Using Data Envelopment Analysis

Efficiency Evaluation Bank Refah Kargaran Branches in Sistan and Baluchestan Province (S&B,Iran),Using Data Envelopment Analysis Efficiency Evaluation Bank Refah Kargaran Branches in Sistan and Baluchestan Province (S&B,Iran),Using Data Envelopment Analysis Dr. Ahmad Akbari* a, Dr. Nazar Dahmardeh b.,malihe Saravani c *a Associate

More information

Measuring the Efficiency of University Libraries Using Data Envelopment Analysis. Nevena Stancheva 1, Vyara Angelova 2

Measuring the Efficiency of University Libraries Using Data Envelopment Analysis. Nevena Stancheva 1, Vyara Angelova 2 Measuring the Efficiency of University Libraries Using Data Envelopment Analysis Nevena Stancheva 1, Vyara Angelova 2 University of Economics - Varna, Bulgaria INFORUM 2004: 10 th Conference on Professional

More information

Executive Summary. Literature/Community Review. Traffic Flows and Projections. Final Report Truck Route System for Miami-Dade County CORRADINO

Executive Summary. Literature/Community Review. Traffic Flows and Projections. Final Report Truck Route System for Miami-Dade County CORRADINO Executive Summary The Miami-Dade County Metropolitan Planning Organization (MPO) has prepared a Truck Route System Plan for Miami-Dade County. The MPO and its consultants have worked closely with the MPO

More information

Joint Use of Factor Analysis (FA) and Data Envelopment Analysis (DEA) for Ranking of Data Envelopment Analysis

Joint Use of Factor Analysis (FA) and Data Envelopment Analysis (DEA) for Ranking of Data Envelopment Analysis Joint Use of Factor Analysis () and Data Envelopment Analysis () for Ranking of Data Envelopment Analysis Reza Nadimi, Fariborz Jolai Abstract This article combines two techniques: data envelopment analysis

More information

VALUING COMMUNITY ATTRIBUTES IN RURAL COUNTIES OF WEST VIRGINIA: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS 1

VALUING COMMUNITY ATTRIBUTES IN RURAL COUNTIES OF WEST VIRGINIA: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS 1 VALUING COMMUNITY ATTRIBUTES IN RURAL COUNTIES OF WEST VIRGINIA: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS 1 Maribel N. Mojica, Tesfa Gebremedhin, Peter Schaeffer 2 RESEARCH PAPER 2008-3 Abstract: The

More information

Documento de Trabajo/Working Paper Serie Economía

Documento de Trabajo/Working Paper Serie Economía Documento de Trabajo/Working Paper Serie Economía Decomposing cost efficiency in cargo handling in Spanish ports using a non-parametric approach by Juan J. Díaz-Hernández Eduardo Martínez-Budría and Sergio

More information

Technology Implementation at the Port of Los Angeles Moving from Current to Emerging Technologies

Technology Implementation at the Port of Los Angeles Moving from Current to Emerging Technologies Technology Implementation at the Port of Los Angeles Moving from Current to Emerging Technologies Captain J. M. Holmes Deputy Executive Director Marine Technology Workshop July 30, 2010 Strong Commitment

More information

DEA investment strategy in the Brazilian stock market. Abstract. Department of Management, Santa Catarina South University

DEA investment strategy in the Brazilian stock market. Abstract. Department of Management, Santa Catarina South University DEA investment strategy in the Brazilian stock market Ana Lopes Department of Management, Santa Catarina South University Marcus Lima Department of Management, Santa Catarina South University Edgar Lanzer

More information

A Hybrid Approach of DEA and Multivariate Regression Analysis for Performance Measurement of Nationalized Indian Banks

A Hybrid Approach of DEA and Multivariate Regression Analysis for Performance Measurement of Nationalized Indian Banks British Journal of Research www.britishr.org Original Article A Hybrid Approach of DEA and Multivariate Regression Analysis for Performance Measurement of Nationalized Indian Bans Bhagat Kishanrao Gayval*

More information

THE CRUISE INDUSTRY IN

THE CRUISE INDUSTRY IN Economic Benefit of the Cruise Industry in Alaska (2011) Alaska benefits from the cruise industry as the premiere cruise destination market in the United States. In 2011, Alaska accounted for $1.02.billion

More information

Quantifying Management s Role in Bank Survival Using Data Envelopment Analysis (DEA): Case of Jamaica

Quantifying Management s Role in Bank Survival Using Data Envelopment Analysis (DEA): Case of Jamaica Quantifying Management s Role in Bank Survival Using Data Envelopment Analysis (DEA): Case of Jamaica 1 Lisa-Kaye Wallace Financial Stability Department Research and Economic Programming Department Bank

More information

TRANSPORTATION COST EQUIVALENCE LINE: EAST COAST VS. WEST COAST PORTS GLOBAL RESEARCH AND CONSULTING JULY 2014

TRANSPORTATION COST EQUIVALENCE LINE: EAST COAST VS. WEST COAST PORTS GLOBAL RESEARCH AND CONSULTING JULY 2014 TRANSPORTATION COST EQUIVALENCE LINE: EAST COAST VS. WEST COAST PORTS GLOBAL RESEARCH AND CONSULTING EXECUTIVE SUMMARY As the globalization and complexity of the supply chain advance, so must its optimization

More information

Technical Memorandum PERFORMANCE MEASURES. Prepared by:

Technical Memorandum PERFORMANCE MEASURES. Prepared by: Technical Memorandum PERFORMANCE MEASURES Prepared by: March 2014 TABLE OF CONTENTS Executive Summary... 1 1. Introduction... 2 1.1 Performance Measures and the Public Sector... 2 1.2 National Focus: MAP

More information

SECTION TWENTY-THREE * INCENTIVES GENERAL RULES AND REGULATIONS DEFINITIONS INTERMODAL CONTAINER DISCOUNT PROGRAM

SECTION TWENTY-THREE * INCENTIVES GENERAL RULES AND REGULATIONS DEFINITIONS INTERMODAL CONTAINER DISCOUNT PROGRAM First Revised Page... 203 Original Page... 203 DEFINITIONS INTERMODAL CONTAINER DISCOUNT PROGRAM Actual IPI Rate Reduction is the amount of the monetary reduction assessed against affirmatively claimed

More information

Using the RTC Simulation Model to Evaluate Effects of Operating Heterogeneity on Railway Capacity

Using the RTC Simulation Model to Evaluate Effects of Operating Heterogeneity on Railway Capacity Slide 1 Using the RTC Simulation Model to Evaluate Effects of Operating Heterogeneity on Railway Capacity Mark Dingler September 12, 2008 The William W. Hay Railroad Engineering Seminar Series Slide 2

More information

ASSESSMENT OF MBA PROGRAMS VIA DATA ENVELOPMENT ANALYSIS

ASSESSMENT OF MBA PROGRAMS VIA DATA ENVELOPMENT ANALYSIS ASSESSMENT OF MBA PROGRAMS VIA DATA ENVELOPMENT ANALYSIS Patrick R. McMullen University of Maine The Maine Business School Orono, Maine 04469-5723 207-581-1994 207-581-1956 (Fax) PATMC@MAINE.MAINE.EDU

More information