Engineering Applications of Data Envelopment Analysis

Triantis, Konstantinos

doi:10.1007/1-4020-7798-x_14

Cited by 8 publications

(3 citation statements)

References 138 publications

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“…Triantis (2011) described how DOE could effectively interface with the DEA methodology as previously discussed, and he provided what he referred to as an 'extensive bibliography of engineering applications of DEA'. Of more than 250 references he provided, only 6 appear directly linked to simulation (see Triantis, 2011). The basic idea of combining DOE and DEA is to design an experiment that mitigates confounding variables and thus provides the required insight while minimizing run requirements.…”

Section: Dea In Conjunction With Doementioning

confidence: 99%

Using DEA in conjunction with designs of experiments: an approach to assess simulated futures in the Afghan educational system

Marlin

Sohn

2016

Journal of Simulation

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This research presents an assessment of the simulated futures of the Afghan educational system. We use a hybrid analytical process combining simulation, design of experiments, and data envelopment analysis (DEA) that is capable of studying the dynamic behaviour of the Afghan educational system. By using the process, we are able to determine the critical relationships, potential futures, and unforeseen consequences of potential policies regarding primary and secondary education in Afghanistan. This research also provides insight into the use of DEA when applied to a large-scale discrete event social simulation.

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Section: Dea In Conjunction With Doementioning

confidence: 99%

Using DEA in conjunction with designs of experiments: an approach to assess simulated futures in the Afghan educational system

Marlin

Sohn

2016

Journal of Simulation

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“…Given that differences in efficiency can be interpreted as an effect of differences in structure and resources, this study considers moves made during matches, because they are the last part of the production function and, therefore, the consequence of these two elements of the adopted theoretical relationship. Furthermore, given that matches are played in front of spectators and a great deal of detail is known about the moves made, the productive process in football teams is not the “black box” that Triantis () and Liu, Lu, Lu, and Lin () described for economic sectors in general and, therefore, efficiency values can be disaggregated with more detail. Efficiency ratios for football teams are also related to the sport results obtained to make management recommendations.…”

Section: Adaptation Of the Proposed Theoretical Framework To Footballmentioning

confidence: 99%

Efficiency of football teams from an organisation management perspective

Escuer

Cebrián

2020

Manage Decis Econ

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The aim of this paper is to assess the efficiency of football. Our contributions to the literature are the use of the resource‐based theory and the strategy‐structure‐performance perspective as the study's framework, efficiency has been considered as the result of the qualities of the productive resources in football teams and efficiency is calculated in every area in the field of play. The results show that the entire team's efficiency is positively related to sporting success and the efficiency of attacking and ball recovery areas is directly related to the sport result and the efficiency of the team as a whole.

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“…This goal is usually addressed from multiple angles and perspectives. A wealth of literature has focused on macrolevel efficiency improvement, where the performance of transit agencies is evaluated based on system revenue and operating costs (2)(3)(4)(5)(6)(7)(8). System revenue is usually measured by ridership or vehicle-miles, and operating cost is measured by a combination of labor, capital, energy consumption, and operating time.…”

mentioning

confidence: 99%

Transit Vehicle Performance Analysis for Service Continuity/Termination: A Data Envelopment Analysis Approach

Liu

Wei

2018

Transportation Research Record: Journal of the Transportation R

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Public transit agencies aim to improve services while reducing operating costs. Transit performance analysis, as the main approach used to assess operating cost and revenue, has received much attention in recent decades. Most of such studies focus on macro-level performance analysis by comparing across transit agencies or within a transit agency across different parts of its operation. This macro-level analysis assumes that bus drivers and vehicles have identical performance in terms of production and resource consumption, yet they can vary significantly and the variations directly influence service reliability and operational efficiency. As a result, micro-level vehicle performance analysis is needed for operation optimization. This paper introduces an innovative and effective use of the data envelopment analysis (DEA) approach to estimate, project, and compare the operational efficiency of each transit vehicle. Using the paratransit fleet of Utah Transit Authority (UTA) as a case study, the study demonstrates the varying cost structures and operational efficiencies over time associated with different vehicle types. It shows that such variations and time series analysis can be used to guide prioritization of vehicle procurement and service continuity/termination, which further leads to significant cost savings and improvement in reliability of service. The proposed approach is replicable for any transit fleet with available maintenance and operation data. The proposed method provides transit agencies with data-driven analytics to facilitate the decision-making process.

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Engineering Applications of Data Envelopment Analysis

Cited by 8 publications

References 138 publications

Using DEA in conjunction with designs of experiments: an approach to assess simulated futures in the Afghan educational system

Using DEA in conjunction with designs of experiments: an approach to assess simulated futures in the Afghan educational system

Efficiency of football teams from an organisation management perspective

Transit Vehicle Performance Analysis for Service Continuity/Termination: A Data Envelopment Analysis Approach

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