Technical Sessions – Monday July 11

TB-19 IFORS 2011 - Melbourne
In large and complicated organisations, a standard process could facilitate performance
assessment and help 1) to translate the aim of the performance measurement
to a series of small tasks 2) to select homogeneous DMUs and suggest
an appropriate input/output selection 3) to detect a suitable model 4) to provide
means for evaluating the effectiveness of the results, and 5) to suggest a proper
solution to improve the efficiency and productivity of entities. This paper proposes
a systematic process for measuring efficiency of DMUs. The proposed
framework helps to link different tools and different people with diverse skills
and backgrounds, in order to work on an efficient and effective project.
2 - Tutorial on Data Envelopment Analysis
Ali Emrouznejad, Aston Business School, Aston University, B4
7ET, Birmingham, United Kingdom,
a.emrouznejad@aston.ac.uk
Data Envelopment Analysis (DEA) was developed as a method for assessing
the comparative efficiencies of organizational units such as the branches of a
bank, schools, hospital departments or restaurants. The efficiencies assessed
reflect the scope for resource conservation at the unit being assessed without
detriment to its outputs, or alternatively, the scope for output augmentation
without additional resources. In using DEA in practice we typically go far beyond
the computation of a simple measure of the relative efficiency of a unit.
We wish to know what operating practices, mix of resources, scale sizes, scope
of activities and so on the operating units may adopt to improve their performance.
The tutorial is specifically aimed at those who have had no prior exposure
to DEA and wish to learn the essentials of how it works, what its key uses
are and the mechanics of using it. The session will also involve demonstration
of DEA software.
� TB-19
Tuesday, 11:00-12:30
Meeting Room 216
Using Cases in OR Courses
Stream: Education and Operations Research
Invited session
Chair: Mehmet Begen, Richard Ivey School of Business, University
of Western Ontario, 1151 Richmond St. N., N6A3K7, London, ON,
Canada, mbegen@ivey.uwo.ca
1 - Using Cases to Teach OR
Peter Bell, Richard Ivey School of Business, University of
Western Ontario, N6A 3K7, London, Ontario, Canada,
pbell@ivey.ca, Mehmet Begen
This workshop will discuss some of the issues surrounding the use of realworld
cases in the OR course. Issues will include finding cases, preparing to
teach a case, managing the case classroom, uses cases as projects, and addressing
myths about case teaching.
� TB-20
Tuesday, 11:00-12:30
Meeting Room 217
AHP I
Stream: Analytic Hierarchy/Network Process
Invited session
Chair: Sheu-Hua Chen, Distribution Management Dept., National
Chin-Yi University of Technology, Taipin, 411, Taichung, Taiwan,
shchen@ncut.edu.tw
1 - Characterizing Disagreement and Inconsistency in Experts’
Judgments in the Analytic Hierarchy Process
Shi-Woei Lin, Yuan Ze University, 135 Yuan-Tung Rd., 32003,
Chung-Li, Taiwan, shiwoei@saturn.yzu.edu.tw
Inconsistency arises due to intransitivity relationships in an individual expert’s
preference judgments. Disagreement arises due to the lack of consensus or differences
in the value among different members in an expert panel. We propose
a Bayesian modeling approach and a graphical representation to quantitatively
characterize inconsistency and disagreement in the group decision making in
the Analytic Hierarchy Process (AHP). This approach allows analysts to view
the model results in a proper context, and pinpoint the uncertain component
that affects model results most.
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2 - A Classification Hierarchy for Ratio Scales
William Wedley, Faculty of Business Administration, Simon
Fraser University, 8888 University Drive, V5A 1S6, Burnaby,
BC, Canada, wedley@sfu.ca, Eng Choo
Since the choice of unit is arbitrary, a ratio scale can be expressed in many different
ways. A similarity transform (multiplication by a positive constant) will
change values of objects but not the ratios between them. This paper presents
a hierarchical classification of ratio scales according the clarity of the unit of
measure. The paper investigates how each scale type is used in the Analytic
Hierarchy/Network processes. Various mechanisms are suggested to achieve
commensurate aggregation.
3 - Hybrid MCDM Application for Performance Criteria in
Customer Relation Management
Y. Esra Albayrak, Galatasaray University, 34357, Istanbul,
Turkey, ealbayrak@gsu.edu.tr, Tuncay Gürbüz
CRM is one of the most important information systems providing feedback
about the market to enterprises. You cannot manage the thing you cannot measure.
Ergo for CRM performance to be measurable, quantitative attributes and
methods are needed. In this study, the criteria affecting the CRM performance
in construction sector (which is a highly competitive one) in Turkey, will be
presented and evaluated in a model. First the relations between criteria will be
handled with ANP and their relative weights will be determined. Then with an
MCDM method, appropriate strategies for CRM will be ranked.
4 - Performance Evaluation Based on Managerial Practices
and Associated Affect Factors
Hong Tau Lee, Industrial Engineering and Management,
National Chin-Yi University of Technology, Taipin, Taichung
County, 411, ROC, Taiwan, leeht@ncut.edu.tw, Sheu-Hua Chen
This research focuses on the performance of the people who manage projects
based on those managerial practices with some essential affected factors. An
analytic network process is employed to identify the interdependence between
these two groups of elements. The relative importance of those leadership behaviors
as well as the relative intensity of the factors that influence them is
determined simultaneously. The relative importance of leadership behaviors
and weights of their corresponding managerial practices will be involved to the
model for evaluating the performance of project managers.
� TB-21
Tuesday, 11:00-12:30
Meeting Room 218
Ground Operations
Stream: Airline Applications
Invited session
Chair: Prem Kumar Viswanathan, TRANSP-OR, ENAC, Ecole
Polytechnique Federal de Lausanne, GC-B3-435, Batiment B3,
Station 18, EPFL, 1015, Lausanne, VD, Switzerland,
prem.viswanathan@epfl.ch
1 - Management of Airline Check-in Counter Queue: Static
vs Dynamic Policies
Sharafali Moosa, LKC School of Business, Singapore
Management University, 50 Stamford Road, 178899, Singapore,
sharafalim@smu.edu.sg, Mahmut Parlar, Brian Rodrigues
In this paper, we analyse the problem of allocating a fixed number of counters
dedicated to a single flight with the objective to minimize the total expected
cost of waiting, counter operation, and of passenger delay. We demonstrate
that the static policy proposed is very easy to determine unlike the difficultto-evaluate
dynamic policy proposed in the literature. Numerical comparison
of the performance of the static and dynamic policies is also provided. An alternative
formulation that includes a probabilistic service-level constraint helps
estimate the imputed delay cost.
2 - Simulation of the Allocation of the Number of Counters
in the Check-in Area of an International Airport
Wilmer Atoche, Ingeniería Industrial, Pontificia Universidad
Católica del Perú, Av. Universitaria 1801 San Miguel, Lima,
Peru, watoche@pucp.edu.pe, Walter Silva, Miguel Mejia