網(wǎng)絡(luò)結(jié)構(gòu)決策單元效率評(píng)價(jià)方法及其應(yīng)用研究
發(fā)布時(shí)間：2018-07-17 03:26
【摘要】：效率評(píng)價(jià)是管理學(xué)和經(jīng)濟(jì)學(xué)領(lǐng)域中的經(jīng)典問題之一。由于網(wǎng)絡(luò)數(shù)據(jù)包絡(luò)分析(DEA)與傳統(tǒng)DEA方法相比,具有結(jié)果更準(zhǔn)確、可識(shí)別系統(tǒng)無效性來源等優(yōu)點(diǎn),因此網(wǎng)絡(luò)DEA是近年來的研究熱點(diǎn)之一。本文在現(xiàn)有研究的基礎(chǔ)上,進(jìn)一步研究不同網(wǎng)絡(luò)結(jié)構(gòu)下的決策單元效率評(píng)價(jià)問題,研究結(jié)果有望為決策者提供有效的績(jī)效管理決策支持。本文主要分為六章,內(nèi)容組織如下:第一章介紹DEA與網(wǎng)絡(luò)DEA的基本理論,對(duì)網(wǎng)絡(luò)DEA的相關(guān)研究開展文獻(xiàn)回顧與總結(jié),并深入闡述了本文的研究意義。第二章針對(duì)子系統(tǒng)產(chǎn)出的非同質(zhì)性問題開展研究。本章結(jié)合香港醫(yī)院中存在的子系統(tǒng)產(chǎn)出非同質(zhì)性問題,拓展了現(xiàn)有的非同質(zhì)性決策單元績(jī)效評(píng)價(jià)模型,并對(duì)香港醫(yī)院的績(jī)效進(jìn)行了實(shí)證分析。研究首次關(guān)注到醫(yī)院中子系統(tǒng)產(chǎn)出非同質(zhì)性的問題,有助于拓展DEA方法的應(yīng)用研究范圍。第三章針對(duì)兩階段DEA關(guān)系模型中的規(guī)模收益可變問題開展理論研究,并將拓展的兩階段DEA關(guān)系模型應(yīng)用到奧運(yùn)會(huì)參賽國(guó)(地區(qū))效率評(píng)價(jià)問題中。本章將兩階段DEA關(guān)系模型被擴(kuò)展為一個(gè)非線性規(guī)劃模型,并采用啟發(fā)式搜尋算法求解非線性模型。同時(shí)本章還首次將參賽國(guó)(地區(qū))在奧運(yùn)會(huì)上的表現(xiàn)看成是一個(gè)兩階段過程(運(yùn)動(dòng)員準(zhǔn)備階段和運(yùn)動(dòng)員競(jìng)技階段)開展效率評(píng)價(jià)。研究發(fā)現(xiàn)參賽國(guó)(地區(qū))的總系統(tǒng)效率受運(yùn)動(dòng)員競(jìng)技效率影響較大。第四章針對(duì)平行系統(tǒng)子系統(tǒng)效率非唯一性問題開展研究,并將所提出的方法應(yīng)用到奧運(yùn)會(huì)參賽國(guó)(地區(qū))效率評(píng)價(jià)中。本章考慮子系統(tǒng)所有可能的效率,計(jì)算得到每個(gè)子平行系統(tǒng)的效率值區(qū)間。同時(shí)本章還首次將參賽國(guó)(地區(qū))的夏季奧運(yùn)會(huì)與冬季奧運(yùn)會(huì)看作平行結(jié)構(gòu)的兩個(gè)子系統(tǒng)進(jìn)而開展效率評(píng)價(jià),可以有效避免采用夏季奧運(yùn)會(huì)進(jìn)行評(píng)價(jià)對(duì)高緯度寒冷地區(qū)的國(guó)家（地區(qū)）不公平,采用冬季奧運(yùn)會(huì)又對(duì)低緯度熱帶地區(qū)的國(guó)家（地區(qū)）不公平的問題。研究發(fā)現(xiàn)參賽國(guó)(地區(qū))在夏季奧運(yùn)會(huì)與冬季奧運(yùn)會(huì)上的表現(xiàn)與其地理位置高度相關(guān)。第五章基于全局權(quán)重思想評(píng)價(jià)平行結(jié)構(gòu)特征下DMU的占優(yōu)關(guān)系和排名區(qū)間問題。通過構(gòu)建平行結(jié)構(gòu)效率占優(yōu)關(guān)系模型,可以得到DMU的占優(yōu)關(guān)系和效率排名區(qū)間,可以有效避免權(quán)重不確定性帶來的不利影響。第六章總結(jié)了本文的主要研究工作和創(chuàng)新之處,在分析本文研究存在的不足的基礎(chǔ)上,提出了本文未來可能的研究方向。本文的創(chuàng)新點(diǎn)主要有:(1)基于全局權(quán)重思想研究了平行結(jié)構(gòu)特征下的決策單元占優(yōu)關(guān)系和效率排名區(qū)間;(2)首次在醫(yī)院系統(tǒng)績(jī)效評(píng)價(jià)中考慮了子系統(tǒng)產(chǎn)出非同質(zhì)性,擴(kuò)展了已有的非同質(zhì)性決策單元績(jī)效評(píng)價(jià)方法;(3)首次考慮奧運(yùn)會(huì)參賽國(guó)(地區(qū))內(nèi)部的兩階段與平行系統(tǒng)結(jié)構(gòu),擴(kuò)展了已有的兩階段與平行系統(tǒng)DEA評(píng)價(jià)方法。
[Abstract]:Efficiency evaluation is one of the classic problems in the field of management and economics. Network data Envelopment Analysis (DEA) is one of the research hotspots in recent years because it has more accurate results and can identify the source of system inefficiency than the traditional DEA method. Based on the existing research, this paper further studies the efficiency evaluation of Decision-making units under different network structures, and the results are expected to provide effective decision support for decision makers. This paper is divided into six chapters, the content is organized as follows: the first chapter introduces the basic theory of DEA and network DEA, carries out literature review and summary of the related research of network DEA, and expounds the significance of this paper. The second chapter studies the heterogeneity of subsystem output. In this chapter, the existing performance evaluation model of non-homogeneous decision-making unit is extended, and the performance of Hong Kong hospitals is analyzed empirically in combination with the non-homogeneity problem of subsystem output in Hong Kong hospitals. The research focuses on the heterogeneity of subsystem output in hospital for the first time, which is helpful to expand the application of DEA method. The third chapter studies the variable scale income problem in the two-stage DEA model, and applies the extended two-stage DEA relationship model to the efficiency evaluation of the countries (regions) competing in the Olympic Games. In this chapter, the two-stage DEA model is extended to a nonlinear programming model, and a heuristic search algorithm is used to solve the nonlinear model. At the same time, the performance of the participating countries (regions) in the Olympic Games is considered as a two-stage process (athlete preparation stage and athlete competitive stage) for the first time. It is found that the total system efficiency of the participating country (region) is greatly affected by the athletes' competitive efficiency. In chapter 4, the non-uniqueness problem of the efficiency of parallel system subsystem is studied, and the proposed method is applied to the evaluation of the efficiency of the countries (regions) competing in the Olympic Games. In this chapter, all possible efficiency of subsystems is considered, and the efficiency interval of each sub-parallel system is calculated. At the same time, for the first time, the Summer Olympic Games and the Winter Olympic Games in the participating countries (regions) are regarded as two subsystems with parallel structure, and then the efficiency evaluation is carried out. It can effectively avoid the unfair evaluation of countries (regions) in the cold regions with high latitude and the countries (regions) in the tropical regions of low latitudes with the use of the Summer Olympic Games, and the use of the Winter Olympics is not fair to the countries (regions) in the tropical regions of the lower latitudes. The study found that the performance of the participating countries in the Summer and Winter Olympic Games is highly correlated with their geographical location. The fifth chapter evaluates the dominance relation and ranking interval problem of DMU under parallel structure based on global weight idea. By constructing a parallel structure efficiency dominant relation model, the dominant relationship and efficiency ranking interval of DMU can be obtained, and the adverse effects of uncertainty of weights can be avoided effectively. The sixth chapter summarizes the main research work and innovation of this paper, based on the analysis of the shortcomings of this study, the possible future research direction of this paper is put forward. The innovations of this paper are as follows: (1) based on the idea of global weight, the dominant relationship of decision units and the efficiency ranking interval under parallel structure characteristics are studied; (2) the heterogeneity of subsystem output is considered in the performance evaluation of hospital system for the first time. This paper extends the existing non-homogeneous decision unit performance evaluation methods. (3) considering the two-stage and parallel system structure within the countries (regions) of the Olympic Games for the first time, the existing two-stage and parallel system DEA evaluation methods are extended.
【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：F224
[Abstract]:Efficiency evaluation is one of the classic problems in the field of management and economics. Network data Envelopment Analysis (DEA) is one of the research hotspots in recent years because it has more accurate results and can identify the source of system inefficiency than the traditional DEA method. Based on the existing research, this paper further studies the efficiency evaluation of Decision-making units under different network structures, and the results are expected to provide effective decision support for decision makers. This paper is divided into six chapters, the content is organized as follows: the first chapter introduces the basic theory of DEA and network DEA, carries out literature review and summary of the related research of network DEA, and expounds the significance of this paper. The second chapter studies the heterogeneity of subsystem output. In this chapter, the existing performance evaluation model of non-homogeneous decision-making unit is extended, and the performance of Hong Kong hospitals is analyzed empirically in combination with the non-homogeneity problem of subsystem output in Hong Kong hospitals. The research focuses on the heterogeneity of subsystem output in hospital for the first time, which is helpful to expand the application of DEA method. The third chapter studies the variable scale income problem in the two-stage DEA model, and applies the extended two-stage DEA relationship model to the efficiency evaluation of the countries (regions) competing in the Olympic Games. In this chapter, the two-stage DEA model is extended to a nonlinear programming model, and a heuristic search algorithm is used to solve the nonlinear model. At the same time, the performance of the participating countries (regions) in the Olympic Games is considered as a two-stage process (athlete preparation stage and athlete competitive stage) for the first time. It is found that the total system efficiency of the participating country (region) is greatly affected by the athletes' competitive efficiency. In chapter 4, the non-uniqueness problem of the efficiency of parallel system subsystem is studied, and the proposed method is applied to the evaluation of the efficiency of the countries (regions) competing in the Olympic Games. In this chapter, all possible efficiency of subsystems is considered, and the efficiency interval of each sub-parallel system is calculated. At the same time, for the first time, the Summer Olympic Games and the Winter Olympic Games in the participating countries (regions) are regarded as two subsystems with parallel structure, and then the efficiency evaluation is carried out. It can effectively avoid the unfair evaluation of countries (regions) in the cold regions with high latitude and the countries (regions) in the tropical regions of low latitudes with the use of the Summer Olympic Games, and the use of the Winter Olympics is not fair to the countries (regions) in the tropical regions of the lower latitudes. The study found that the performance of the participating countries in the Summer and Winter Olympic Games is highly correlated with their geographical location. The fifth chapter evaluates the dominance relation and ranking interval problem of DMU under parallel structure based on global weight idea. By constructing a parallel structure efficiency dominant relation model, the dominant relationship and efficiency ranking interval of DMU can be obtained, and the adverse effects of uncertainty of weights can be avoided effectively. The sixth chapter summarizes the main research work and innovation of this paper, based on the analysis of the shortcomings of this study, the possible future research direction of this paper is put forward. The innovations of this paper are as follows: (1) based on the idea of global weight, the dominant relationship of decision units and the efficiency ranking interval under parallel structure characteristics are studied; (2) the heterogeneity of subsystem output is considered in the performance evaluation of hospital system for the first time. This paper extends the existing non-homogeneous decision unit performance evaluation methods. (3) considering the two-stage and parallel system structure within the countries (regions) of the Olympic Games for the first time, the existing two-stage and parallel system DEA evaluation methods are extended.
【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：F224
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