Technical Sessions – Monday July 11

3 - Cost versus Carbon Emissions in the Management of
Operations
Saif Benjaafar, Industrial and Systems Engineering, University
of Minnesota, 111 Church Street SE, 55419, Minneapolis, MN,
United States, saif@umn.edu
We examine the tradeoff between reducing costs and carbon emissions in the
context of four foundational Operations Management (OM) models. In each
case, we show that there exists a regime of cost and emission parameter values
for which emissions can be significantly reduced without significantly increasing
cost.
� HD-05
Thursday, 15:30-17:00
Meeting Room 104
Consumer Credit Risk and Supply Chain
Risk
Stream: Marketing and OM Interface
Invited session
Chair: Merja Halme, Information and Service Economy, Aalto
School of Economics, Pl 11000, 00076, Aalto, Finland,
merja.halme@aalto.fi
1 - Modelling Supply Chain Risks in Agile Fast Moving
Consumer Goods (FMCG) Supply Chains
Ozias Ncube, Graduate School of Business Leadership,
University of South Africa, P O Box 392, Muckleneuck, 0003,
Pretoria, Gauteng, South Africa, ncubeo@unisa.ac.za, Venkata
Yadavalli
In this paper , a model for agility of supply chains is presented. Furthermore, it
is observed that in the quest for agility, supply chains expose themselves to various
risks. These risks are identified in terms of source, impact and likelihood
of occurrence. A model for mitigation is proposed. The benefits of these mitigation
strategies are illustrated by an example on the application of the model
to the fast moving consumer goods supply chain.
2 - Models for Measuring Marketing Activities
Milan Gasovic, Marketing, Faculty of Economics, Sazonova, 96,
11000, Belgrade, Serbia, milangasovic@yahoo.com
Measurement of marketing activities, especially those related to new products,
is extremely important. Marketing managers can use several models for measuring
marketing activities and results. In practice, is often used a model which
consists of the following elements: market characteristics, measurement expressed
in financial indicators, measurement related to product, measurement
related to consumers, measurement related to the marketing mix.
3 - Stress Testing the Credit Card Portfolios
Meko Meechi So, Management, University of Southampton,
Highfield, Southampton, SO17 1BJ, Southampton, United
Kingdom, M.So@soton.ac.uk
After the global credit crunch, lenders realized assessing the default risk of a
consumer credit borrower under different economic environments is critical for
ensuring the stability of a retail bank. In this paper, we try to quantify the impact
of the economy on credit card accounts’ risk migration. We use credit card
datasets to demonstrate the impact of economy on the credit card accounts, and
hence provide empirical evidence to encourage lenders to use macroeconomic
measurements in estimating the potential default risk on credit card portfolios.
4 - Sustainability and Consumer’s Purchase Decisions
Markku Kuula, Information and Service Economy, Aaalto
University School of Economics, Runeberginkatu 22-24,
P.O.Box 21220, 00076 Aalt, Helsinki, Finland,
Markku.Kuula@aalto.fi, Anu Bask, Merja Halme, Markku
Kallio
Sustainability has attained increased attention in academic research. We study
how the inclusion of sustainability aspects, affect the Finnish consumer’s purchase
choice in selecting a mobile phone. In the first stage, focus group discussions
are used to identify the key characteristics of sustainability in the choice.
As a flexible frame in the discussions we use our earlier work, the categorization
of different sustainability features into four areas: environmental strategy
and policy, sustainable product design, sustainable sourcing, and sustainable
product end-of-life management. In the second stage, quantitative preference
data is gathered, and individual value functions estimated.
IFORS 2011 - Melbourne HD-07
� HD-06
Thursday, 15:30-17:00
Meeting Room 105
Intelligent Traffic Management and Control
Stream: Transportation
Invited session
Chair: Maurizio Bruglieri, INDACO, Politecnico di Milano, Via
Durando, 38/a, Milano, Italy, maurizio.bruglieri@polimi.it
Chair: Alberto Colorni, Department of Industrial Design, delle Arti e
della Comunicazione, Politecnico di Milano, c/o Metid, p.zza
Leonardo da Vinci 32, 20133, Milano, Italy, alberto.colorni@polimi.it
1 - New Directions for Urban Traffic Control Systems
Michael Taylor, Barbara Hardy Institute, University of South
Australia, GPO Box 1, 5001, Adelaide, SA, Australia,
map.taylor@unisa.edu.au, Rocco Zito, Nikolaos Vogiatzis
This paper discusses the employment of Intelligent Transport Systems (ITS)
technologies to provide more effective schemes for Travel Demand Management
(TDM). It starts by considering the existing state of the art in Urban
Traffic Control Systems (UTCS) and reporting on recent research to use the
historical traffic network performance data routinely recorded by a state of the
art system (SCATS). It then considered the conceptual development of a new
age UTCS, based on the principle of ’Intelligent Organic Transportation) (iOT).
2 - Optimisation for Dynamic Link Toll Control System
Suh-Wen Chiou, Information Management, National Dong Hwa
University, Da Hsueh Rd., Shou-Feng, 97401, Hualien, Taiwan,
chiou@mail.ndhu.edu.tw
This paper presents a computationally efficient scheme for a dynamic toll control
problem formulated as a mathematical program with equilibrium constraints
(MPEC). A dynamic user equilibrium (DUE) obeying Wardrop’s
principle is expressed as an equivalent continuous time variational inequality.Numerical
calculations are conducted using a small scale road network
where preliminary results have shown capability of the proposed approach solving
a continuous time toll optimisation problem compared to conventional approach.
� HD-07
Thursday, 15:30-17:00
Meeting Room 106
CP-MIP Hybridisation
Stream: Constraint programming (CP-AI)
Invited session
Chair: Mark Wallace, Faculty of Information Technology, Monash
University, Building H, Level 6, Caulfield Campus, 3145, Caulfield,
VIC, Australia, mark.wallace@infotech.monash.edu.au
1 - Valid Inequalities for the Cumulative Constraint and the
Cumulative Job Shop Scheduling Problem
Tallys Yunes, Management Science, University of Miami,
33124-8237, Miami, Florida, United States, tallys@miami.edu,
Dimitris Magos, Yiannis Mourtos
The cumulative constraint describes scheduling problems in which a machine
can process more than one job at a time. We study the set of feasible solutions
to the cumulative constraint when (i) jobs are identical, and (ii) jobs differ in
their resource utilization rates. In the first case, we revisit some of the previous
work in the literature; in the second, we propose a new family of facet-defining
inequalities. We also present computational results obtained with a branch-andcut
algorithm for a cumulative version of the well-known job shop scheduling
problem.
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