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Performance Measurement in Airline Revenue Mana...
25,60 € *
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Techniques for performance measurement are an integral part of a revenue management (RM) system. The Revenue Opportunity Model (ROM) is a widely known method to measure revenue management performance. While adapting the ROM to recent developments of revenue management science - i.e. the advancement from leg-based to network-based RM controls and the recent transition from independent to dependent demand structures - the question of applicability and in particular the validity of the ROM has become increasingly important. In this thesis both independent and dependent demand structures in a network-based ROM are modeled and its main properties are investigated. Furthermore, different aspects of airline RM are considered to make the application of the ROM possible in practice. Not only does this thesis cover a disaggregation of the aggregated network ROM measures to single legs, but also to single RM components. A novel simulation-based approach to investigate the ROM properties is introduced particularly to measure its robustness against errors in the estimated unconstrained demand. The RM system used in the simulation environment reflects all main components and RM methods in use by a large network airline, particularly regarding state-of-the-art demand modeling and optimization models.

Anbieter: Dodax AT
Stand: 26.01.2020
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Performance Measurement in Airline Revenue Mana...
24,90 € *
ggf. zzgl. Versand

Techniques for performance measurement are an integral part of a revenue management (RM) system. The Revenue Opportunity Model (ROM) is a widely known method to measure revenue management performance. While adapting the ROM to recent developments of revenue management science - i.e. the advancement from leg-based to network-based RM controls and the recent transition from independent to dependent demand structures - the question of applicability and in particular the validity of the ROM has become increasingly important. In this thesis both independent and dependent demand structures in a network-based ROM are modeled and its main properties are investigated. Furthermore, different aspects of airline RM are considered to make the application of the ROM possible in practice. Not only does this thesis cover a disaggregation of the aggregated network ROM measures to single legs, but also to single RM components. A novel simulation-based approach to investigate the ROM properties is introduced particularly to measure its robustness against errors in the estimated unconstrained demand. The RM system used in the simulation environment reflects all main components and RM methods in use by a large network airline, particularly regarding state-of-the-art demand modeling and optimization models.

Anbieter: Dodax
Stand: 26.01.2020
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Temath, Christian: Performance Measurement in A...
24,90 € *
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Erscheinungsdatum: 14.07.2011, Medium: Buch, Einband: Gebunden, Titel: Performance Measurement in Airline Revenue Managment, Titelzusatz: A Simulation-based Assement of Network-based Revenue Opportunity Model, Autor: Temath, Christian, Redaktion: Suhl, Leena, Verlag: Books on Demand, Sprache: Deutsch, Rubrik: Schönheit // Kosmetik, Seiten: 220, Informationen: HC gerader Rücken kaschiert, Gewicht: 494 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 26.01.2020
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Performance Measurement in Airline Revenue Mana...
24,90 € *
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Performance Measurement in Airline Revenue Managment ab 24.9 € als gebundene Ausgabe: A Simulation-based Assement of Network-based Revenue Opportunity Model. Aus dem Bereich: Bücher, Ratgeber, Gesundheit,

Anbieter: hugendubel
Stand: 26.01.2020
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Data Envelopment Analysis
181,89 € *
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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.

Anbieter: Dodax
Stand: 26.01.2020
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Data Envelopment Analysis
186,99 € *
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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.

Anbieter: Dodax AT
Stand: 26.01.2020
Zum Angebot
Performance Measurement in Airline Revenue Mana...
24,90 € *
ggf. zzgl. Versand

Performance Measurement in Airline Revenue Managment ab 24.9 EURO A Simulation-based Assement of Network-based Revenue Opportunity Model

Anbieter: ebook.de
Stand: 26.01.2020
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Performance Measurement in Airline Revenue Mana...
34,90 CHF *
ggf. zzgl. Versand

Techniques for performance measurement are an integral part of a revenue management (RM) system. The Revenue Opportunity Model (ROM) is a widely known method to measure revenue management performance. While adapting the ROM to recent developments of revenue management science - i.e. the advancement from leg-based to network-based RM controls and the recent transition from independent to dependent demand structures - the question of applicability and in particular the validity of the ROM has become increasingly important. In this thesis both independent and dependent demand structures in a network-based ROM are modeled and its main properties are investigated. Furthermore, different aspects of airline RM are considered to make the application of the ROM possible in practice. Not only does this thesis cover a disaggregation of the aggregated network ROM measures to single legs, but also to single RM components. A novel simulation-based approach to investigate the ROM properties is introduced particularly to measure its robustness against errors in the estimated unconstrained demand. The RM system used in the simulation environment reflects all main components and RM methods in use by a large network airline, particularly regarding state-of-the-art demand modeling and optimization models.

Anbieter: Orell Fuessli CH
Stand: 26.01.2020
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Building Safe Systems in Aviation
51,90 CHF *
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Building Safe Systems in Aviation provides a single source for those who need to progress beyond current models of Crew Resource Management (CRM) to developing safe systems in critical industries. Although the primary focus is on airline pilots, the principles apply to all sectors of aviation, particularly maintenance and cabin crew, as well as other high-risk industries. It systematically sets out the context of CRM and safe systems, the conduct of training, the resources needed by the facilitator and the processes required for the measurement of outcomes. Part One reviews the development of the human factors/CRM domain and examines the concepts of risk and safety. Part Two, primarily for new instructors, gives a guide to training delivery and also considers non-classroom situations, the role of debriefing, facilitation and the design of human factors courses. Part Three examines the measurement of training effectiveness, the design and implementation of behavioural markers and standardizing assessors. It concludes by looking at some of the broader issues associated with the management of CRM. The book's readership includes those who design, deliver or manage CRM and safety-related training within airlines and other companies.

Anbieter: Orell Fuessli CH
Stand: 26.01.2020
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