cam a22 2 4500 317106376 CHVBK 20201008213418.0 cr nn|008mamaa 140225s2014 xxu-----s---- 0 0-eng-d 978-1-4899-8067-0 print 978-1-4899-8068-7 eISBN 10.1007/978-1-4899-8068-7 doi (OCoLC)885223899 (IDSSG)000655371 Springer ger SzZuIDS HSG kids HD30.23 BUS049000 bisacsh 658.40301 23 CH0014C032672EBD91814C1257F0700701659 iCapture Data Envelopment Analysis A Handbook on the Modeling of Internal Structures and Networks edited by Wade D. Cook, Joe Zhu Boston, MA Springer US 2014 Online-Ressource Text txt rdacontent/ger Computermedien c rdamedia/ger Online-Ressource cr rdacarrier/ger International Series in Operations Research & Management Science 208 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 mo... Economics Industrial engineering Operations research Cook Wade D. Zhu Joe https://doi.org/10.1007/978-1-4899-8068-7 Volltext für Angehörige der Universität St. Gallen / FHS St. Gallen BK020053 XK020053 XK020000 noalma ids I IDSSG HSG HSG ONL HONL000655371 IDSSG HFHS HFHS ONL HONL000655371 IDSSG 490 0- International Series in Operations Research & Management Science 208 IDSSG 700 1- Cook Wade D. IDSSG 700 1- Zhu Joe IDSSG 856 4- https://doi.org/10.1007/978-1-4899-8068-7 Volltext für Angehörige der Universität St. Gallen / FHS St. Gallen