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An evaluation Method for Automotive Technical and comprehensive performance

Automotive Innovation 2023年第2期6卷 231-243页

作者： Mengfei Liu Xinyu Ouyang Ruikai Lu Zijun Hao Raphael Blumenfeld Xin Tang Gang Lei Hongwu Ouyang School of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China State Key Laboratory of High‑performance Complex Manufacturing Central South UniversityChangsha 410083China University of Sheffield Sheffield S102TNUK Cavendish Laboratory University of CambridgeCambridge CB21TNUK

An objective evaluation scheme for automotive technical and comprehensive performance could provide critical and instructive insights for academic research,engineering practice,and commercial marketing of vehicles.In this paper,the technical performance index A=S∕T_(1)⋅T_(2)(m∕(s^(2)⋅L))and comprehensive performance index F=M⋅S∕T_(1)⋅T_(2),(kN⋅L^(−1),where M is the vehicle mass)are formulated by incorporating the vehicle 0–100 km⋅h^(−1) acceleration duration T_(1),100–0 km⋅h^(−1) braking duration T_(2),and fuel economy S(mileage per liter fuel at constant speed)to assess the vehicle’s longitudinal dynamic performance.A and F offer a clear physical implication of a vehicle’s acceleration capability and traction efficiency acquired per unit of fuel consumption,respectively.These indexes are used for wide case studies of popular market sedans and SUVs of joint ventures(JVs)and domestic brands in China over the last 17 years.The findings prove that this approach could be effectively and reliably utilized for the objective evaluation and analysis of the technical and comprehensive performance of automotive models.

关键词： Automobile Technical performance evaluation comprehensive performance evaluation Sedan SUV

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A new method for performance evaluation of decision-making units with application to service industry

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Journal of Management Analytics 2021年第1期8卷 84-100页

作者： Shenghai Zhou Yang Zhan School of Business Administration Jiangxi University of Finance and EconomicsNanchangPeople’s Republic of China The Department of Artificial Intelligence Zhejiang Cainiao Supply Chain Management Co.Ltd.HangzhouPeople’s Republic of China

The decision-making units(DMUs)in the modern service industries may produce desirable outputs and undesirable outputs.For the decision makers,some outputs may be more desired than others although all of them are desirable.Considering these characteristics,this work combines the data envelopment analysis(DEA)and the multiple attributes decision-making(MADM)method,to make a reasonable and comprehensive performance evaluation for DMUs.Specifically,three DEA-based models are modified to obtain more reasonable efficiency scores for DMUs.The MADM method is used to determine the weights of outputs based on the preference ratings within the outputs.The efficiency scores are then multiplied by the aggregated outputs quantities to obtain the comprehensive performance scores for evaluation.The effectiveness of the proposed models is demonstrated by extensive numerical experiments.

关键词： comprehensive performance evaluation data envelopment analysis multiple attributes decision-making preference ratings

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