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Technical Sessions – Monday July 11

Technical Sessions – Monday July 11

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In this paper, the nature and extent of productivity changes of ASEAN5 countries,<br />

namely, Malaysia, Indonesia, Philippines, Thailand, and Singapore, are<br />

analyzed over the period 1993 to 2006. The Malmquist TFP index calculated<br />

within the framework of DEA is next decomposed into three constituent elements<br />

accounting for different sources of productivity growth, which are technological<br />

progress, efficiency change, and the effects of economies of scale.<br />

The analysis is carried out for the sample with and without human capital variable<br />

to isolate the impact of human capital investment on TFP growth in these<br />

countries. Results indicate that when human capital is included in the model,<br />

Malaysia and Singapore reported an increase in TFP and this growth in productivity<br />

is derived from both technical efficiency gain and technological progress.<br />

2 - Sustainable R&D Portfolio Management<br />

Nico Vandaele, Operations Management Dept., Katholieke<br />

Universiteit Leuven, Naamsestraat 69, 3000, Leuven, Belgium,<br />

nico.vandaele@econ.kuleuven.be, Catherine Decouttere<br />

Assessing and managing a R&D portfolio is a multi-dimensional decision problem<br />

with three clusters: • Technological: system aspects of flow (lead time) and<br />

resources (capacity), operational and technological factuals • Financial: monetary<br />

aspects of flow (expenses) and resources (investments), financial and monetary<br />

factuals • Human: value aspects of flows (sustainability) and resources<br />

(ethical employment), human and non-monetary factuals The static and dynamic<br />

decision support model manages the R&D portfolio and steers R&D<br />

activities, illustrated with empirical findings.<br />

3 - Telecommunications Reform and Efficiency Performance:<br />

Do Good Institutions Matter?<br />

Noorihsan Mohamad, Economics Department, Faculty of<br />

Economics & Management Sciences, International Islamic<br />

University Malaysia, P.O. Box 10, 50728, Kuala Lumpur,<br />

Wilayah Persekutuan, Malaysia, noorihsan@gmail.com<br />

This study uses stochastic distance function approach to capture the role of institutions<br />

in explaining the efficiency differences in telecommunications across<br />

70 countries. The empirical analysis reveals that policy stability in the form<br />

of substantive checks and balances on executive power is the most important<br />

aspect for successful reform. Independently, legal integrity improves telecommunications<br />

efficiency through privatization,while greater freedom from corruption<br />

influences the effectiveness of a regulatory body.<br />

4 - Comparison of Urban Households Efficiency using<br />

Data Envelopment Analysis<br />

Alireza Moghtadaei, CBI, 213 Ferdowsi Ave., <strong>11</strong>35931496,<br />

Tehran, Iran, Islamic Republic Of,<br />

alimoghtadaie44@yahoo.com, Arash Aliakbari<br />

The aim of this paper is to determine and compare the cost efficiency for households<br />

who are living in different provinces in Iran by Data Envelopment Analysis.<br />

Each household is considered as one DMU. We then compare several<br />

provinces in terms of their optimality use in each household.<br />

� TC-19<br />

Tuesday, 15:00-16:30<br />

Meeting Room 216<br />

The Changing Skills Graduates Need To Be<br />

Successful In Applying Analytics<br />

Stream: Education and Operations Research<br />

Panel session<br />

Chair: Sandra Hogan, Telstra, Melbourne, Australia,<br />

vsh010@gmail.com<br />

Chair: Evan Stubbs, SAS, Lane Cove, Australia,<br />

Evan.Stubbs@sas.com<br />

Chair: James Cochran, Department of Marketing and Analysis,<br />

Louisiana Tech University, PO Box 10318, 71272, Ruston, LA,<br />

United States, jcochran@cab.latech.edu<br />

Chair: Peter O’Hanlon, Australian Crime Commission, Canberra<br />

City, Australia, peter.ohanlon@crimecommission.gov.au<br />

Chair: Antony Ugoni, National Australia Bank Ltd, Docklands,<br />

Australia, antony.m.ugoni@nab.com.au<br />

1 - Changing Skills Graduates Need To Be Successful In<br />

Applying Analytics<br />

James Cochran, Department of Marketing and Analysis,<br />

Louisiana Tech University, PO Box 10318, 71272, Ruston, LA,<br />

IFORS 20<strong>11</strong> - Melbourne TC-20<br />

United States, jcochran@cab.latech.edu, Sandra Hogan, Peter<br />

O’Hanlon, Evan Stubbs, Antony Ugoni<br />

As analytics becomes increasingly entrenched within organizations, the skills<br />

needed to support innovation continue to grow. This panel will provide a variety<br />

of perspectives on what is needed for the next generation of analytics<br />

practitioners and involves representatives from industry associations, vendors,<br />

and the public/private sector.<br />

� TC-20<br />

Tuesday, 15:00-16:30<br />

Meeting Room 217<br />

AHP II<br />

Stream: Analytic Hierarchy/Network Process<br />

Invited session<br />

Chair: Renaud Silva, EBAPE, FGV-RJ, Praia Do Flamengo, Andar<br />

da Ebape, Botafogo, 20000, Rio de Janeiro, RJ, Brazil,<br />

renaud.barbosa@fgv.br<br />

1 - Humanitarian Logistics: Location of an Intelligence and<br />

Support Facility for Natural Disasters or Complex Emergency<br />

Situations<br />

Mirian Buss Goncalves, DEPS, UFSC, Rua Arlindo Penna, 27,<br />

88037260, Florianopolis, Santa Catarina, Brazil,<br />

mirianbuss@gmail.com, Christiane W. Nogueira<br />

Situations such as hurricanes, floods, earthquakes, terrorist attacks and other<br />

such events require specialized logistics, known as Humanitarian Logistics. In<br />

this context, we develop a model to determine the location of an intelligence<br />

and support unit for the storage, control and distribution of the resources needed<br />

in these emergency situations, using the Analytic Hierarchy Process (AHP).<br />

Also we show an application of the model to a natural disaster of floods and<br />

landslides that occurred in 2008, in the state of Santa Catarina, located in southern<br />

Brazil and the results obtained.<br />

2 - AHP in a Multi Actor Setting: Experiences in the Transport<br />

and Mobility Sector<br />

Cathy Macharis, MOSI-Transport and Logistics, Vrije<br />

Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium,<br />

Cathy.Macharis@vub.ac.be, Klaas De Brucker<br />

Including stakeholders along the entire decision making process provides a better<br />

basis for the implementation of the ultimate decision. This is particularly<br />

important in the transport sector where often different stakeholders have conflicting<br />

points of view. The Multi Actor Multi Criteria Analysis (MAMCA)<br />

methodology in which AHP is often used, provides a good framework for including<br />

these points of view within the decision framework. Several applications<br />

within the transport and mobility sector will be shown.<br />

3 - Evaluation of Supply Chain Performance in Fuzzy Environment<br />

with the AHP-TOPSIS Hybrid Method<br />

Ergun Eraslan, Industrial Engineering, Baskent University,<br />

Baglica Campus Eskisehir Yolu 20 km, Etimesgut, 06810,<br />

Ankara, Turkey, eraslan@baskent.edu.tr<br />

The competition in the dynamic market conditions has increased the importance<br />

of Supply Chain Management. The effectiveness of an organization on<br />

supply chain is needed to evaluate of suppliers’ performance for both short<br />

and long term goals. This process is a multi-criteria decision analysis problem.<br />

In this study, a hybrid model is proposed for evaluation of the supplier<br />

performances of an electronic company. The fuzzy AHP Method is used for<br />

determination of the relative weights of the criteria and the performances of<br />

alternative companies are ranked by using Fuzzy TOPSIS method.<br />

4 - GSM Operator Selection for a Call Center Investment by<br />

Using AHP<br />

Özcan Çavusoglu, Industrial Engineering Ph.D. Programme,<br />

Istanbul <strong>Technical</strong> University, Institute of Science and<br />

Technology, Faculty of Management, 34367, Istanbul, MAÇKA,<br />

57

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