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Título : Contract Analysis and Design for Supply Chains with Stochastic Demand Tipo de documento: documento electrónico Autores: Yingxue Zhao ; Xiaoge Meng ; SpringerLink (Online service) ; Wang, Shouyang ; T.C. Edwin Cheng Editorial: Boston, MA : Springer US Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 234 Número de páginas: XVIII, 184 p. 17 illus., 2 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4899-7633-8 Idioma : Inglés (eng) Palabras clave: Business Production management Operations research Decision making Industrial engineering and Management Operation Research/Decision Theory Engineering Clasificación: 658 Empresas. Organización de empresas Resumen: This book is devoted to analysis and design of supply chain contracts with stochastic demand. Given the extensive utilization of contracts in supply chains, the issues concerning contract analysis and design are extremely important for supply chain management (SCM), and substantial research has been developed to address those issues over the past years. Despite the abundance of classical research, new research needs to be conducted in response to new issues emerging with the recent changing business environments, such as the fast-shortening life cycle of product and the increasing globalization of supply chains. This book addresses these issues, with the intention to present new research on how to apply contracts to improve SCM. Contract Analysis and Design for Supply Chains with Stochastic Demand contains eight chapters and each chapter is summarized as follows: Chapter 1 provides a comprehensive review of the classical development of supply chain contracts. Chapter 2 examines the effects of demand uncertainty on the applicability of buyback contracts. Chapter 3 conducts a mean-risk analysis for wholesale price contracts, taking into account contracting value risk and risk preferences. Chapter 4 studies the optimization of product service system by franchise fee contracts in the service-oriented manufacturing supply chain with demand information asymmetry. Chapter 5 develops a bidirectional option contract model and explores the optimal contracting decisions and supply chain coordination issue with the bidirectional option. Chapter 6 addresses supply chain options pricing issue and a value-based pricing scheme is developed for the supply chain options. With a cooperative game theory approach, Chapter 7 explores the issues concerning supply chain contract selection/implementation with the option contract under consideration. Chapter 8 concludes the book and suggests worthy directions for future research Nota de contenido: Introduction -- Buyback Contracts with Price-dependent Demands: Effects of Demand Uncertainty -- Mean-Risk Analysis of Wholesale Price Contracts with Stochastic Price-dependent Demand -- Franchise Fee Contracts in Product Service System with Demand Information Asymmetry -- Coordination of Supply Chains with Bidirectional Option Contracts -- A Value-based Approach to Option Pricing: The Case of Supply Chain Options -- Selection of Supply Chain Contracts: The Case of Option Contracts -- Conclusions and Future Research Directions En línea: http://dx.doi.org/10.1007/978-1-4899-7633-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41467 Contract Analysis and Design for Supply Chains with Stochastic Demand [documento electrónico] / Yingxue Zhao ; Xiaoge Meng ; SpringerLink (Online service) ; Wang, Shouyang ; T.C. Edwin Cheng . - Boston, MA : Springer US : Imprint: Springer, 2016 . - XVIII, 184 p. 17 illus., 2 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 234) .
ISBN : 978-1-4899-7633-8
Idioma : Inglés (eng)
Palabras clave: Business Production management Operations research Decision making Industrial engineering and Management Operation Research/Decision Theory Engineering Clasificación: 658 Empresas. Organización de empresas Resumen: This book is devoted to analysis and design of supply chain contracts with stochastic demand. Given the extensive utilization of contracts in supply chains, the issues concerning contract analysis and design are extremely important for supply chain management (SCM), and substantial research has been developed to address those issues over the past years. Despite the abundance of classical research, new research needs to be conducted in response to new issues emerging with the recent changing business environments, such as the fast-shortening life cycle of product and the increasing globalization of supply chains. This book addresses these issues, with the intention to present new research on how to apply contracts to improve SCM. Contract Analysis and Design for Supply Chains with Stochastic Demand contains eight chapters and each chapter is summarized as follows: Chapter 1 provides a comprehensive review of the classical development of supply chain contracts. Chapter 2 examines the effects of demand uncertainty on the applicability of buyback contracts. Chapter 3 conducts a mean-risk analysis for wholesale price contracts, taking into account contracting value risk and risk preferences. Chapter 4 studies the optimization of product service system by franchise fee contracts in the service-oriented manufacturing supply chain with demand information asymmetry. Chapter 5 develops a bidirectional option contract model and explores the optimal contracting decisions and supply chain coordination issue with the bidirectional option. Chapter 6 addresses supply chain options pricing issue and a value-based pricing scheme is developed for the supply chain options. With a cooperative game theory approach, Chapter 7 explores the issues concerning supply chain contract selection/implementation with the option contract under consideration. Chapter 8 concludes the book and suggests worthy directions for future research Nota de contenido: Introduction -- Buyback Contracts with Price-dependent Demands: Effects of Demand Uncertainty -- Mean-Risk Analysis of Wholesale Price Contracts with Stochastic Price-dependent Demand -- Franchise Fee Contracts in Product Service System with Demand Information Asymmetry -- Coordination of Supply Chains with Bidirectional Option Contracts -- A Value-based Approach to Option Pricing: The Case of Supply Chain Options -- Selection of Supply Chain Contracts: The Case of Option Contracts -- Conclusions and Future Research Directions En línea: http://dx.doi.org/10.1007/978-1-4899-7633-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41467 Ejemplares
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Título : Data Envelopment Analysis : A Handbook of Empirical Studies and Applications Tipo de documento: documento electrónico Autores: Joe Zhu ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 238 Número de páginas: XIII, 587 p. 97 illus., 56 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4899-7684-0 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science Industrial engineering Production and Operation Research/Decision Theory Research, Science Engineering Clasificación: 004.6 Datos. Tratamiento de datos. Big Data Resumen: This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational structure of transportation organizations and the relative network data envelopment analysis model. Chapter 3 demonstrates how to use different types of DEA models to compute total-factor energy efficiency scores with an application to energy efficiency. In chapter 4, the authors explore the impact of incorporating customers' willingness to pay for service quality in benchmarking models on cost efficiency of distribution networks, and chapter 5 provides a brief review of previous applications of DEA to the professional baseball industry, followed by two detailed applications to Major League Baseball. Chapter 6 examines efficiency and productivity of U.S. property-liability (P-L) insurers using DEA, while chapter 7 presents a two-stage network DEA model that decomposes the overall efficiency of a decision-making unit into two components. Chapter 8 presents a review of the literature of DEA models for the perfoemance assessment of mutual funds, and chapter 9 discusses the management strategies formulation of the international tourist hotel industry in Taiwan. Chapter 10 presents a novel use of the two-stage network DEA to evaluate sustainable product design performances. In chapter 11 authors highlight limitations of some DEA environmental efficiency models, and chapter 12 reviews applications of DEA in secondary and tertiary education. Chapter 13 measures the relative performance of New York State school districts in the 2011-2012 academic year. Chapter 14 provides an introductory prelude to chapters 15 and 16, which both provide detailed applications of DEA in marketing. Chapter 17 then shows how to decompose a new total factor productivity index that satisfies all economically-relevant axioms from index theory with an application to U.S. agriculture. Finally, chapter 18 presents a unique study that conducts a DEA research front analysis, applying a network clustering method to group the DEA literature over the period 2000 to 2014 Nota de contenido: Efficiency Persistence of Bank and Thrift CEOs Using Data Envelopment Analysis -- Assessment of Transportation Performance: A Network Structure -- Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application -- Social cost efficient service quality - Integrating customer valuation in incentive regulation: Evidence from the case of Norway -- DEA Applications to Major League Baseball: Evaluating Manager and Team Efficiencies in Major League Baseball -- Efficiency and Productivity in the US Property-Liability Insurance Industry: Ownership Structure, Product and Distribution Strategies -- Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach -- DEA performance assessment of mutual funds -- Formulating Management Strategy for International Tourist Hotel Using DEA -- Sustainable Product Design Performance Evaluation with Two-Stage Network Data Envelopment Analysis -- Measuring environmental efficiency: An application to U.S. electric utilities -- Applications of Data Envelopment Analysis in Education -- Performance Benchmarking of School Districts in New York State -- Assessing Efficiency and Effectiveness in Marketing: Applications of Data Envelopment Analysis -- Planning merchandising decisions to account for regional and product assortment differences -- Evaluation of subsidiary marketing performance: combining process and outcome performance metrics -- Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture -- Research Fronts and Prevailing Applications in Data Envelopment Analysis. En línea: http://dx.doi.org/10.1007/978-1-4899-7684-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41469 Data Envelopment Analysis : A Handbook of Empirical Studies and Applications [documento electrónico] / Joe Zhu ; SpringerLink (Online service) . - Boston, MA : Springer US : Imprint: Springer, 2016 . - XIII, 587 p. 97 illus., 56 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 238) .
ISBN : 978-1-4899-7684-0
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science Industrial engineering Production and Operation Research/Decision Theory Research, Science Engineering Clasificación: 004.6 Datos. Tratamiento de datos. Big Data Resumen: This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational structure of transportation organizations and the relative network data envelopment analysis model. Chapter 3 demonstrates how to use different types of DEA models to compute total-factor energy efficiency scores with an application to energy efficiency. In chapter 4, the authors explore the impact of incorporating customers' willingness to pay for service quality in benchmarking models on cost efficiency of distribution networks, and chapter 5 provides a brief review of previous applications of DEA to the professional baseball industry, followed by two detailed applications to Major League Baseball. Chapter 6 examines efficiency and productivity of U.S. property-liability (P-L) insurers using DEA, while chapter 7 presents a two-stage network DEA model that decomposes the overall efficiency of a decision-making unit into two components. Chapter 8 presents a review of the literature of DEA models for the perfoemance assessment of mutual funds, and chapter 9 discusses the management strategies formulation of the international tourist hotel industry in Taiwan. Chapter 10 presents a novel use of the two-stage network DEA to evaluate sustainable product design performances. In chapter 11 authors highlight limitations of some DEA environmental efficiency models, and chapter 12 reviews applications of DEA in secondary and tertiary education. Chapter 13 measures the relative performance of New York State school districts in the 2011-2012 academic year. Chapter 14 provides an introductory prelude to chapters 15 and 16, which both provide detailed applications of DEA in marketing. Chapter 17 then shows how to decompose a new total factor productivity index that satisfies all economically-relevant axioms from index theory with an application to U.S. agriculture. Finally, chapter 18 presents a unique study that conducts a DEA research front analysis, applying a network clustering method to group the DEA literature over the period 2000 to 2014 Nota de contenido: Efficiency Persistence of Bank and Thrift CEOs Using Data Envelopment Analysis -- Assessment of Transportation Performance: A Network Structure -- Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application -- Social cost efficient service quality - Integrating customer valuation in incentive regulation: Evidence from the case of Norway -- DEA Applications to Major League Baseball: Evaluating Manager and Team Efficiencies in Major League Baseball -- Efficiency and Productivity in the US Property-Liability Insurance Industry: Ownership Structure, Product and Distribution Strategies -- Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach -- DEA performance assessment of mutual funds -- Formulating Management Strategy for International Tourist Hotel Using DEA -- Sustainable Product Design Performance Evaluation with Two-Stage Network Data Envelopment Analysis -- Measuring environmental efficiency: An application to U.S. electric utilities -- Applications of Data Envelopment Analysis in Education -- Performance Benchmarking of School Districts in New York State -- Assessing Efficiency and Effectiveness in Marketing: Applications of Data Envelopment Analysis -- Planning merchandising decisions to account for regional and product assortment differences -- Evaluation of subsidiary marketing performance: combining process and outcome performance metrics -- Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture -- Research Fronts and Prevailing Applications in Data Envelopment Analysis. En línea: http://dx.doi.org/10.1007/978-1-4899-7684-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41469 Ejemplares
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Título : Data Envelopment Analysis : A Handbook of Models and Methods Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Joe Zhu Editorial: Boston, MA : Springer US Fecha de publicación: 2015 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 221 Número de páginas: XII, 465 p. 43 illus., 18 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4899-7553-9 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science Industrial engineering Production and Operation Research/Decision Theory Research, Science Engineering Clasificación: 658 Empresas. Organización de empresas Resumen: This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou Nota de contenido: Distance Functions in Primal and Dual Spaces -- DEA Cross Efficiency -- DEA Cross Efficiency Under Variable Returns to Scale -- Discrete and Integer Valued Inputs and Outputs in Data Envelopnebt Analysis -- DEA Models with Production Trade-offs and Weight Restrictions -- Facet Analysis in Data Envelopment Analysis -- Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework -- Translation Invariance in Data Envelopment Analysis -- Scale Elasticity in Non-parametric DEA Approach -- DEA Based Benchmarking Models -- Data Envelopment Analysis with Non-Homogeneous DMUs -- Efficiency Measurement in Data Envelopment Analysis with Fuzzy Data -- Partial Input to Output Impacts in DEA: Production Considerations and Resource Sharing Among Business Sub-Units -- Super-efficiency in Data Envelopment Analysis -- DEA Models with Undesirable Inputs -- Frontier Differences and the Global Malmquist Index En línea: http://dx.doi.org/10.1007/978-1-4899-7553-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35389 Data Envelopment Analysis : A Handbook of Models and Methods [documento electrónico] / SpringerLink (Online service) ; Joe Zhu . - Boston, MA : Springer US : Imprint: Springer, 2015 . - XII, 465 p. 43 illus., 18 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 221) .
ISBN : 978-1-4899-7553-9
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science Industrial engineering Production and Operation Research/Decision Theory Research, Science Engineering Clasificación: 658 Empresas. Organización de empresas Resumen: This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou Nota de contenido: Distance Functions in Primal and Dual Spaces -- DEA Cross Efficiency -- DEA Cross Efficiency Under Variable Returns to Scale -- Discrete and Integer Valued Inputs and Outputs in Data Envelopnebt Analysis -- DEA Models with Production Trade-offs and Weight Restrictions -- Facet Analysis in Data Envelopment Analysis -- Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework -- Translation Invariance in Data Envelopment Analysis -- Scale Elasticity in Non-parametric DEA Approach -- DEA Based Benchmarking Models -- Data Envelopment Analysis with Non-Homogeneous DMUs -- Efficiency Measurement in Data Envelopment Analysis with Fuzzy Data -- Partial Input to Output Impacts in DEA: Production Considerations and Resource Sharing Among Business Sub-Units -- Super-efficiency in Data Envelopment Analysis -- DEA Models with Undesirable Inputs -- Frontier Differences and the Global Malmquist Index En línea: http://dx.doi.org/10.1007/978-1-4899-7553-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35389 Ejemplares
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Título : Data Envelopment Analysis : A Handbook on the Modeling of Internal Structures and Networks Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Wade D. Cook ; Joe Zhu Editorial: Boston, MA : Springer US Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 208 Número de páginas: XII, 599 p. 109 illus., 41 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4899-8068-7 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science Industrial engineering Production and Operation Research/Decision Theory Research, Science Engineering Clasificación: 658 Empresas. Organización de empresas Resumen: This handbook serves as a complement to the Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford, and J, Zhu, 2011, Springer) in an effort to extend the frontier of DEA research. It provides a comprehensive source for the state-of-the art DEA modeling on internal structures and network DEA. Chapter 1 provides a survey on two-stage network performance decomposition and modeling techniques. Chapter 2 discusses the pitfalls in network DEA modeling. Chapter 3 discusses efficiency decompositions in network DEA under three types of structures, namely series, parallel, and dynamic. Chapter 4 studies the determination of the network DEA frontier. In chapter 5 additive efficiency decomposition in network DEA is discussed. An approach in scale efficiency measurement in two-stage networks is presented in chapter 6. Chapter 7 further discusses the scale efficiency decomposition in two stage networks. Chapter 8 offers a bargaining game approach to modeling two-stage networks. Chapter 9 studies shared resources and efficiency decomposition in two-stage networks. Chapter 10 introduces an approach to computing the technical efficiency scores for a dynamic production network and its sub-processes. Chapter 11 presents a slacks-based network DEA. Chapter 12 discusses a DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Chapter 13 presents an efficiency measurement methodology for multi-stage production systems. Chapter 14 discusses network DEA models, both static and dynamic. The discussion also explores various useful objective functions that can be applied to the models to find the optimal allocation of resources for processes within the black box, that are normally invisible to DEA. Chapter 15 provides a comprehensive review of various type network DEA modeling techniques. Chapter 16 presents shared resources models for deriving aggregate measures of bank-branch performance, with accompanying component measures that make up that aggregate value. Chapter 17 examines a set of manufacturing plants operating under a single umbrella, with the objective being to use the component or function measures to decide what might be considered as each plant’s core business. Chapter 18 considers problem settings where there may be clusters or groups of DMUs that form a hierarchy. The specific case of a set off electric power plants is examined in this context. Chapter 19 models bad outputs in two-stage network DEA. Chapter 20 presents an application of network DEA to performance measurement of Major League Baseball (MLB) teams. Chapter 21 presents an application of a two-stage network DEA model for examining the performance of 30 U.S. airline companies. Chapter 22 then presents two distinct network efficiency models that are applied to engineering systems. Nota de contenido: DEA for Two-State Networks: Efficiency Decompositions and Modeling Techniques -- Network DEA Pitfalls: Divisional Efficiency and Frontier Projection -- Efficiency Decomposition in Network Data Envelopment Analysis -- Two-Stage Network Processes: DEA Frontier Identification -- Additive Efficiency Decomposition in Network DEA -- Scale Efficiency Measurement in Two-Stage Production Systems -- Decomposing Efficiency and Returns to Scale in Two-Stage Network Systems -- Evaluating Two-Stage Network Structures: Bargaining Game Approach -- Shared Resources and Efficiency Decomposition in Two-Stage Networks -- A Network DEA Model with Internal Dynamic Effect -- Slacks-Based Network DEA -- DEA Models for Extended Two-Stage Network Structures -- An Efficiency Measurement Framework for Multi-Stage Production Systems -- Network DEA II -- Network, Shared Flow and Multi-Level DEA Models: A Critical Review -- Multicomponent Efficiency Measurement in Banking -- Evaluating Power Plant Efficiency: Hierarchical Models -- Multicomponent Efficiency: Measurement and Core Business Identification in Multiplant Firms -- Two-Stage Network DEA with Bad Outputs -- Performance Measurement of Major League Baseball Teams Using Network DEA -- Production and Marketing Efficiencies of the U.S. Airline Industry: A Two-Stage Network DEA Approach -- Network Representations of Efficiency Analysis for Engineering Systems: Examples, Issues and Research Opportunities. En línea: http://dx.doi.org/10.1007/978-1-4899-8068-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35947 Data Envelopment Analysis : A Handbook on the Modeling of Internal Structures and Networks [documento electrónico] / SpringerLink (Online service) ; Wade D. Cook ; Joe Zhu . - Boston, MA : Springer US : Imprint: Springer, 2014 . - XII, 599 p. 109 illus., 41 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 208) .
ISBN : 978-1-4899-8068-7
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science Industrial engineering Production and Operation Research/Decision Theory Research, Science Engineering Clasificación: 658 Empresas. Organización de empresas Resumen: This handbook serves as a complement to the Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford, and J, Zhu, 2011, Springer) in an effort to extend the frontier of DEA research. It provides a comprehensive source for the state-of-the art DEA modeling on internal structures and network DEA. Chapter 1 provides a survey on two-stage network performance decomposition and modeling techniques. Chapter 2 discusses the pitfalls in network DEA modeling. Chapter 3 discusses efficiency decompositions in network DEA under three types of structures, namely series, parallel, and dynamic. Chapter 4 studies the determination of the network DEA frontier. In chapter 5 additive efficiency decomposition in network DEA is discussed. An approach in scale efficiency measurement in two-stage networks is presented in chapter 6. Chapter 7 further discusses the scale efficiency decomposition in two stage networks. Chapter 8 offers a bargaining game approach to modeling two-stage networks. Chapter 9 studies shared resources and efficiency decomposition in two-stage networks. Chapter 10 introduces an approach to computing the technical efficiency scores for a dynamic production network and its sub-processes. Chapter 11 presents a slacks-based network DEA. Chapter 12 discusses a DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Chapter 13 presents an efficiency measurement methodology for multi-stage production systems. Chapter 14 discusses network DEA models, both static and dynamic. The discussion also explores various useful objective functions that can be applied to the models to find the optimal allocation of resources for processes within the black box, that are normally invisible to DEA. Chapter 15 provides a comprehensive review of various type network DEA modeling techniques. Chapter 16 presents shared resources models for deriving aggregate measures of bank-branch performance, with accompanying component measures that make up that aggregate value. Chapter 17 examines a set of manufacturing plants operating under a single umbrella, with the objective being to use the component or function measures to decide what might be considered as each plant’s core business. Chapter 18 considers problem settings where there may be clusters or groups of DMUs that form a hierarchy. The specific case of a set off electric power plants is examined in this context. Chapter 19 models bad outputs in two-stage network DEA. Chapter 20 presents an application of network DEA to performance measurement of Major League Baseball (MLB) teams. Chapter 21 presents an application of a two-stage network DEA model for examining the performance of 30 U.S. airline companies. Chapter 22 then presents two distinct network efficiency models that are applied to engineering systems. Nota de contenido: DEA for Two-State Networks: Efficiency Decompositions and Modeling Techniques -- Network DEA Pitfalls: Divisional Efficiency and Frontier Projection -- Efficiency Decomposition in Network Data Envelopment Analysis -- Two-Stage Network Processes: DEA Frontier Identification -- Additive Efficiency Decomposition in Network DEA -- Scale Efficiency Measurement in Two-Stage Production Systems -- Decomposing Efficiency and Returns to Scale in Two-Stage Network Systems -- Evaluating Two-Stage Network Structures: Bargaining Game Approach -- Shared Resources and Efficiency Decomposition in Two-Stage Networks -- A Network DEA Model with Internal Dynamic Effect -- Slacks-Based Network DEA -- DEA Models for Extended Two-Stage Network Structures -- An Efficiency Measurement Framework for Multi-Stage Production Systems -- Network DEA II -- Network, Shared Flow and Multi-Level DEA Models: A Critical Review -- Multicomponent Efficiency Measurement in Banking -- Evaluating Power Plant Efficiency: Hierarchical Models -- Multicomponent Efficiency: Measurement and Core Business Identification in Multiplant Firms -- Two-Stage Network DEA with Bad Outputs -- Performance Measurement of Major League Baseball Teams Using Network DEA -- Production and Marketing Efficiencies of the U.S. Airline Industry: A Two-Stage Network DEA Approach -- Network Representations of Efficiency Analysis for Engineering Systems: Examples, Issues and Research Opportunities. En línea: http://dx.doi.org/10.1007/978-1-4899-8068-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35947 Ejemplares
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Título : Decision Making with the Analytic Network Process : Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks Tipo de documento: documento electrónico Autores: Thomas L. Saaty ; SpringerLink (Online service) ; Luis G. Vargas Editorial: Boston, MA : Springer US Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 195 Número de páginas: XVII, 363 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-7279-7 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science Econometrics and Operation Research/Decision Theory Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit Nota de contenido: The Analytic Network Process -- Forecasting the Resurgence of the U.S. Economy in 2001: An Expert Judgement Approach -- An Analytic Network Process Model for Financial-Crisis Forecasting -- Outsourcing a Firm's Application Development Group -- ANWR: Artic National Wildlife Refuge, an ANP Validation Example -- The Ford Explorer Case -- Synthesis of Complex Criteria Decision Making: A Case Towards a Consensus Agreement for a Middle East Conflict Resolution -- U.S. Energy Security -- Stabilizing Social Security for the Long-Term -- When Shall Poland Enter the Euro Zone? -- The Conflict between China and Taiwan -- U.S. Response to North Korean Nuclear Threat -- Criteria for Evaluating Group Decision-Making Methods -- An Innovative Orders-of-Magnitude Approach to AHP-Based Multicriteria Decision Making: Prioritizing Divergent Intangible Humane Acts -- Sensitivity Analysis in the Analytic Hierarchy Process En línea: http://dx.doi.org/10.1007/978-1-4614-7279-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36453 Decision Making with the Analytic Network Process : Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks [documento electrónico] / Thomas L. Saaty ; SpringerLink (Online service) ; Luis G. Vargas . - Boston, MA : Springer US : Imprint: Springer, 2013 . - XVII, 363 p : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 195) .
ISBN : 978-1-4614-7279-7
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science Econometrics and Operation Research/Decision Theory Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit Nota de contenido: The Analytic Network Process -- Forecasting the Resurgence of the U.S. Economy in 2001: An Expert Judgement Approach -- An Analytic Network Process Model for Financial-Crisis Forecasting -- Outsourcing a Firm's Application Development Group -- ANWR: Artic National Wildlife Refuge, an ANP Validation Example -- The Ford Explorer Case -- Synthesis of Complex Criteria Decision Making: A Case Towards a Consensus Agreement for a Middle East Conflict Resolution -- U.S. Energy Security -- Stabilizing Social Security for the Long-Term -- When Shall Poland Enter the Euro Zone? -- The Conflict between China and Taiwan -- U.S. Response to North Korean Nuclear Threat -- Criteria for Evaluating Group Decision-Making Methods -- An Innovative Orders-of-Magnitude Approach to AHP-Based Multicriteria Decision Making: Prioritizing Divergent Intangible Humane Acts -- Sensitivity Analysis in the Analytic Hierarchy Process En línea: http://dx.doi.org/10.1007/978-1-4614-7279-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36453 Ejemplares
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