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By
Subhash C. Ray
University of Connecticut
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Publisher: Cambridge University PressPrint Publication Year:2004Online Publication Date:November 2009Online ISBN:9780511606731Hardback ISBN:9780521802567
Rabu, 07 Agustus 2013
BOOK: DEA, Theory and Techniques for Economics and Operations Research, SUBHASH C. RAY
Jumat, 02 Agustus 2013
BUKU: Data Envelopment Analysis: Returns-to-Scale Measurement
The paper provides an overview of the different approaches to measure
returns-to-scale (RTS) in Data Envelopment Analysis (DEA). DEA is a
promising approach allowing for analysis of efficiency and RTS in
certain fields where other concepts like regression analysis are not
applicable. Therefore, DEA literature and especially literature on RTS
measurement in DEA is rapidly growing.
Returns-to- scale and scale
efficiency can lead to significant and long-lasting implications for
management and politics. Furthermore, RTS classification can be used
to decide on mergers and acquisitions. Following the description of
the most common DEA models and their technology different approaches
to measure RTS are described and advantages and disadvantages are
elaborated.
The approaches are subdivided in qualitative and
quantitative approaches and RTS measurement in cost-based and non-
radial models. Additionally, sensitivity analysis for RTS measurement
is being dealt with. Finally, an empirical application is provided to
illustrate RTS measurement approaches discussed in the paper.
Kamis, 01 Agustus 2013
Analisis Perbandingan Tingkat Efisiensi BMT Kota Tasikmalaya Periode 2008-2012 dengan Pendekatan Two Stage Data Envelopment Analysis
Oleh: Asri Prihastuti
This
study measures the comparative efficiency of BMT Tasikmalaya during the period
2008-2012. The method used is Two Stage DEA with the intermediation approach.
The first stage of measuring the efficiency of each BMT using DEA. Input
variables used were total deposit, equity and total labour. While the variables
output is total financing and operating income. The second stage determines factors
influencing the efficiency of BMT using Tobit Method. The variables used were BOPO,
ROA (Return on Equity) and EQAS.
The results show that the overall
efficiency of BMT in the year 2008 reached 0.88 and the next year (2009) to
2012 increased significantly to reach 0.96. While the level of technical
efficiency has increased by fluctuations in 2008-2012. Means that the management
of the financial operations of BMT during 2008-2012 is relatively inefficient.
The main cause of inefficiency in the output-oriented measure is operating
income which can be increasing by 59.96%. Tobit results show that BOPO and ROE has
statistically significant positive impact on overall efficiency of BMT
Tasikmalaya. While the power of capital (CAR) has no significant positive
impact on the efficiency of BMT Tasikmalaya
Keywords:
Data Envelopment Analysis (DEA), Efficiency, Baitul Mal wa Tamwil
Rabu, 17 Juli 2013
BUKU: Mining Data Envelopment Analysis using Clustering Approach: for Heterogeneous Decision Making Units
This book integrates two important fields of information technology,
data mining and data envelopment analysis (DEA), to provide a new tool
for measuring the performance of decision making units (DMU). Many
investigations have dealt with the DEA models, but few have focused on
heterogeneous DMUs, outlier detection, and scalability over large data
sets.
In this book, a comprehensive model is presented. A constraint
based clustering method is introduced for early detection of outliers
to evaluate the performance scores of non homogeneous DMUs. The book
includes the different preprocessing stages used in applying different
approaches of data mining.
Along with the theory, an extensive analysis
in assessing the transportation system funding for school districts
in the state of North Dakota is provided. This book is originally a
Ph.D. dissertation at NDSU,Fargo, ND, USA.
SMART LIBRARY: Koleksi 50 + Buku Metodologi Penelitian
Aplikasi
Teknik Pengambilan Keputusan dalam Manajemen Rantai Pasok; Teori dan Aplikasi
Sistem Pakar dalam Teknologi Manajerial; SEM dengan Lisrel 8.8, Konsep &
Tutorial; Riset Pemasaran; Metode Penelitian Kombinasi (Mixed Methods);
Analisis Ekonometrika & Statistika dengan Eviews (Ed 2), Riset Bisnis
dengan Analisis Jalur SPSS; Pemodelan Sumber Daya Perikanan dan Kelautan;
Konsep Dasar Riset Pemasaran & Perilaku Konsumen;
Analisis
Sistem Dinamis, Lingkungan Hidup, Sosial, Ekonomi, Manajemen; Konsep dan
Aplikasi SEM berbasis Varian dalam Penelitian Bisnis; Metode Riset Kualitatif
dalam PR & Marketing Communication; Analisis SWOT Teknik Membedah Kasus
Bisnis; An Introduction to DEA, A Tool for Performance Measurement; Statistika
untuk Penelitian; Riset Pemasaran dan Konsumen; Analisis Input Output;
Marketing Research;
Penelitian
Bisnis Paradigma Kuantitatif; Teknik dan Aplikasi Pengambilan Keputusan
Kriteria Majemuk; SPSS Statistik Parametrik; Riset Eksperimen dengan Excel 2007
dan Minitab 15; Buku Pintar Minitab 15; Olah Data Skripsi dan Penelitian dengan
SPSS 19; Metodologi Penelitian Ekonomi Islam; Analytic Hierarchy Process; Buku
Saku SPSS, Analisis Statistik Data; Decision Making with The ANP, Economic,
Political, Social & Technological Application with BOCR;
Handbook on Data Envelopment Analysis, COOPER
This handbook covers DEA topics that are extensively used and solidly
based. The purpose of the handbook is to (1) describe and elucidate the
state of the field and (2), where appropriate, extend the frontier of
DEA research. It defines the state-of-the-art of DEA methodology and its
uses. This handbook is intended to represent a milestone in the
progression of DEA.
Written by experts, who are generally major
contributors to the topics to be covered, it includes a comprehensive
review and discussion of basic DEA models, which, in the present issue
extensions to the basic DEA methods, and a collection of DEA
applications in the areas of banking, engineering, health care, and
services.
The handbook's chapters are organized into two categories: (i)
basic DEA models, concepts, and their extensions, and (ii) DEA
applications. First edition contributors have returned to update their
work.
The second edition includes updated versions of selected first edition chapters. New chapters have been added on:
·
Different approaches with no need for a priori choices of weights
(called “multipliers) that reflect meaningful trade-offs.
· Construction of static and dynamic DEA technologies.
· Slacks-based model and its extensions
· DEA models for DMUs that have internal structures network DEA
·
Selection of DEA applications in the service sector with a focus on
building a conceptual framework, research design and interpreting
results.
Kamis, 11 Juli 2013
William W. Cooper, Pakar Metode DEA
Professor Emeritus William W. Cooper, an academic
giant widely considered to be a father of management science, died
Wednesday, June 20, at the age of 97. A high school dropout and former
boxing champ, he went on to revolutionize business education and
research.
In a career that spanned nearly seven decades and included stints at
the University of Chicago, Carnegie Mellon, and Harvard Business School,
Cooper was a prolific researcher who was at the forefront of a new way
of studying business, emphasizing scientific rigor and integrating
disciplines. In the words of one of his star doctoral students, Andrew Whinston,
professor at McCombs: “The models Bill pioneered fostered a huge
transformation of worldwide company operations. He has, as they say in
today’s jargon, a big footprint.”
He was also a fixture on campus, coming to work nearly every day until just a few weeks before his death.
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