A DEA Study to Evaluate the Relative Efficiency and Investigate the District Reorganization of the Taiwan Power Company

Ló,; Chien,; Lin, Pei-Chun

doi:10.1109/mper.2001.4311285

Cited by 34 publications

(45 citation statements)

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“…Hence, before analyzing DEA, the authors used the Pearson correlation coefficient to determine the data used in this study, which is in accordance with the DEA standards. Correlation coefficients are always in the range of (−1) to (1); if this factor is as close to (1), it is a perfect linear relation [37]. The results are shown in Tables 15, 16, 17, and 18.…”

Section: Pearson Correlationmentioning

confidence: 88%

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Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach

Wang¹,

Nguyen²,

Liao³

2017

Mathematical Problems in Engineering

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Vietnam is currently among the top-five textile and apparel exporters, and the industry is considered quite attractive to foreign investors. Nevertheless, the global textile and garment industry is experiencing important changes. The three main producing regions in the world are China, Southwest Asia (India, Pakistan, Bangladesh, and Turkey), and ASEAN. In order to maintain its positioning and to establish stable and sustainable Vietnam textile and apparel development, there must be radical changes. Due to this necessity, the authors conducted this study by using grey forecasting to predict and reflect the condition of businesses in the period of 2017-2020, together with combining a DEA model to help businesses select the most appropriate strategic partner in the supply chain in order to achieve economic goals and promote the strength of the businesses partaking in the association. Besides, this helps businesses exploit market opportunities and take advantage of the capabilities of the textile and apparel industry.

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Section: Pearson Correlationmentioning

confidence: 88%

“…It is straightforward, then, that the inputs are positive; however, the outputs are able to become a negative value. The proper solution to solve this problem is to use DEA-solver pro 4.1 manual [37], as follows: Suppose ≤ 0. It has defined + and…”

Section: Nonradial Super Efficiency Model (Super-sbm)mentioning

confidence: 99%

Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach

Wang¹,

Nguyen²,

Liao³

2017

Mathematical Problems in Engineering

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“…They are ports of Mazatlan, Manzanillo, Lazaro Cardenas, Altamira, Tuxpan, Veracruz, Progress and Salina Cruz. It is necessary also to consider that the number of DMUs must be at least two times the total number of inputs and outputs considered [17]. In this research inputs used are: dock length and number of employees and outputs: number of TEUs handled annually (see Table 1).…”

Section: Methodsmentioning

confidence: 99%

Technical Efficiency in the Container Terminals in Mexico, 1982-2010: Through Data Envelopment Analysis (DEA)

Ortega¹,

Navarro-Chávez²

2013

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The paper shows an analysis of the global technical efficiency of container terminals of the main ports of Mexico in the period 1982-2010, through Data Envelopment Analysis (DEA). This methodology allows us to measure each decision unit evaluated in relation to other homogeneous units. The aim of the study is to determine the importance of global technical efficiency, pure technical efficiency and scale efficiency in the ports of México. For this purpose, quay length and number of employees are used as input and as output of the number of containers. The results show that the Mexican ports in general have a low technical global efficiency and only the ports showed that technical global efficiency, technical pure efficiency and scale efficiency were Veracruz and Tuxpan in the year 1982, and Manzanillo and Lazaro Cárdenas in the year 2010. For that reason, it requires better operability which means greater mobility of TEUs.

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“…This study employs a simple correlation test-Pearson correlation-to measure the strength of the linear relationship of normal distributed variables [30]. If the correlation coefficient is positive, these factors are isotonically related and will be put into the DEA model; when the factor demonstrates a weak isotonic relationship, it will be reexamined [31]. The correlation coefficient is always between´1 and +1.…”

Section: Pearson Correlationmentioning

confidence: 99%

Automobile Industry Strategic Alliance Partner Selection: The Application of a Hybrid DEA and Grey Theory Model

2016

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Abstract:Finding the right strategic alliance partner is a critical success factor for many enterprises. Therefore, the purpose of this study is to propose an effective approach based on grey theory and data envelopment analysis (DEA) for selecting better partners for alliance. This study used grey forecasting to predict future business performances and used DEA for the partner selection of alliances. This research was implemented with realistic public data in four consecutive financial years (2009)(2010)(2011)(2012) of the world's 20 biggest automobile enterprises. Nissan Motor Co., Ltd was set to be the target decision making unit (DMU). The empirical results showed that, among 19 candidate DMUs, Renault (DMU10) and Daimler (DMU11) were the two feasible beneficial alliance partners for Nissan. Although this research is specifically applied to the automobile industry, the proposed method could also be applied to other manufacturing industries.

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A DEA Study to Evaluate the Relative Efficiency and Investigate the District Reorganization of the Taiwan Power Company

Cited by 34 publications

References 0 publications

Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach

Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach

Technical Efficiency in the Container Terminals in Mexico, 1982-2010: Through Data Envelopment Analysis (DEA)

Automobile Industry Strategic Alliance Partner Selection: The Application of a Hybrid DEA and Grey Theory Model

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