Huong Dan Su Dung Phuong Phap Phan Tich Bao Du Lieu Trong Excel (Vietnamese DEA Add-In for Excel)

Ngo, Tuan

doi:10.2139/ssrn.2577136

Cited by 1 publication

(2 citation statements)

References 17 publications

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“…Various techniques exist for doing performance analysis, including ratio analysis, data packaging analysis (DEA), performance pyramid, analytical hierarchical process (AHP), stochastic frontier analysis (SFA), and variable factor productivity (VFP). In which, the DEA method in calculating and estimating the (technical) efficiency of businesses, banks, schools (collectively referred to as units) Decision Making Unit lithium battery manufacturers (LBM) in the use of input resources to produce outputs [22]. Such efficiency measurement is based on the method of frontier analysis, whereby the most efficient LBMs will establish a production frontier.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Mathematical Model-Based Integrated Decision-Making Approach for Lithium Battery Manufacturers Evaluation

Wang,

Imperial,

Nhieu

et al. 2024

IEEE Access

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Today, the transportation industry contributes significantly to greenhouse gas emissionsroughly 23% of worldwide emissions. Battery electric vehicles (BEVs) are a viable technical option since they have the ability to drastically cut emissions (e.g., up to 70% compared to gasoline automobiles). Lithiumion batteries, the fundamental component of BEVs, are essential to the efficiency and performance of the vehicle. Nevertheless, it might be difficult to make the best decision given the wide range of battery producers. In order to close this gap, eleven of the top producers of lithium batteries (e.g., Tesla, Ford and Toyota) were assessed for their 2019-2021 performance. We evaluate battery performance using both the Ordinal Priority Approach (OPA) and Malmquist productivity index (MPI). According to the results, Ford, BMW, and Tesla had the greatest average MPI efficiency. Conversely, Toyota, Hyundai, and Mercedes-Benz secured the highest positions among lithium-battery manufacturers in the OPA rankings. Through the use of these methodologies, we aim to provide comparative rankings that will eventually help promote sustainable mobility by giving decision-makers, investors, consumers and other stakeholders an overview for wellinformed battery selections.

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Section: Literature Reviewmentioning

confidence: 99%

“…For efficient LBMs, since they lie on the limit line, their technical efficiency score (TE) is equal to 1. For less efficient LBMs (within the limit line), their efficiency scores will be smaller [22]. DEA is a linear programming method for measuring the effectiveness of multiple decision-making units (LBMs) as a process.…”

Section: Literature Reviewmentioning

confidence: 99%