Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
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TB-03 IFORS 20<strong>11</strong> - Melbourne<br />
An electronic book will be considered as the digital version of a traditional<br />
printed book to be read digitally on a PC, PDA or a dedicated e-book reader.In<br />
this paper, a strategic market analysis framework in a publishing market is proposed<br />
in the presence of multiple competing publishers.The proposed publishing<br />
market consists of p-publishers that try to decide on whether or not switch<br />
to e-publishing.The framework computes the unit prices, and profits of the publishers<br />
in each market scenario.<br />
2 - Leader-follower Optimization in Product Design<br />
Gang Du, School of Management, Tianjin University, 300072,<br />
Tianjin, China, tddg@tju.edu.cn, Yan Li, Yi Xia<br />
Based on the summarize of the problems of leader-follower optimization in<br />
product design, the types and the decision systems are proposed in this paper.<br />
The models and the methods are discussed which involved Stackelberg Games<br />
and engineering optimization methods. Furthermore the product family and<br />
complex product optimization problems are discussed.<br />
3 - The Welfare Effects of Horizontal Mergers in Markets<br />
with Negative Welfare Effects<br />
Andrea Mantovani, Department of Economics, University of<br />
Bologna, Strada Maggiore 45, 40125, Bologna, Italy,<br />
a.mantovani@unibo.it, Luca Lambertini<br />
We model horizontal mergers in a differential Cournot game with pollution, obtaining<br />
an admittedly provocative result. Given that the externality increases in<br />
industry output, it turns out that any horizontal merger poses a tradeoff between<br />
the increase in concentration and the external effect. We single out the size of<br />
the horizontal merger beyond which the reduction in the externality more than<br />
compensate the price increase. Additionally, we calculate the level of Pigouvian<br />
taxation that would reproduce exactly the same welfare effect of such a<br />
merger.<br />
� TB-03<br />
Tuesday, <strong>11</strong>:00-12:30<br />
Meeting Room 102<br />
Modern Heuristics in Transportation<br />
Stream: Meta-heuristics<br />
Invited session<br />
Chair: Ana Costa, Civil Engineering Dept., University of Coimbra,<br />
Rua Luís Reis Santos, Polo II da UC, 3030 - 788, Coimbra, Portugal,<br />
alcosta@dec.uc.pt<br />
1 - Passenger and Pilot Risk Minimization in Offshore Helicopter<br />
Transportation<br />
Fubin Qian, Molde University College, Fannestrandveien 76,<br />
6416, Molde, Norway, fubin.qian@himolde.no, Irina<br />
Gribkovskaia, Gilbert Laporte, Oyvind Halskau<br />
In the offshore petroleum industry, employees are transported to and from the<br />
offshore installations by helicopter, which represents a major risk. This paper<br />
analyzes how to improve transportation safety by solving the helicopter routing<br />
problem with an objective expressed in terms of expected number of fatalities.<br />
A mathematical model is proposed and a tabu search heuristic is applied to<br />
this problem. Three routing policies are considered: a direct service policy, a<br />
Hamiltonian solution policy, and a general solution policy.Extensive computational<br />
experiments are conducted.<br />
2 - Efficient Metaheuristics for Intermodal Terminal Location<br />
Kenneth Sörensen, Faculteit Toegepaste Economische<br />
Wetenschappen, Universiteit Antwerpen, Prinsstraat 13, 2000,<br />
Antwerpen, Belgium, kenneth.sorensen@ua.ac.be, Christine<br />
Vanovermeire<br />
Determining the optimal number and location of intermodal transshipment terminals<br />
is a decision that strongly influences the viability of the intermodal<br />
transportation alternative. In this talk, we discuss a model and two different<br />
metaheuristic procedures to solve it. The first metaheuristic constructs solutions<br />
using a GRASP procedure, the second one uses the relatively unknown<br />
Attribute Based Hill Climber (ABHC) heuristic. Innovative in our approach is<br />
the integration of a fast heuristic procedure to approximate the total cost given<br />
the set of open terminals.<br />
40<br />
3 - Addressing a Last Mile Transportation Problem<br />
Kwong Meng Teo, Industrial & Systems Engineering, National<br />
University of Singapore, Singapore, kwongmeng@alum.mit.edu,<br />
Viet Anh Nguyen<br />
Mobility-on-demand can improve urban transportation by removing commuters<br />
from the system more quickly while reducing vehicles on the road. We<br />
study a system of delivering passengers from a transportation hub to their individual<br />
destinations, or the Last Mile Problem. We extend a heuristics-based<br />
routing routine, which address the static problem in seconds, to (i) accept firstmile<br />
commuters, (ii) handle practical exceptions such as unanticipated spike<br />
in demand and weather-related delays, and (iii) handle the dynamic problem,<br />
where each vehicle will make multiple deliveries from the hub.<br />
4 - A Tool for High-speed Railway Alignment Optimization:<br />
Application to Case Studies of Increasing Complexity<br />
Ana Costa, Civil Engineering Dept., University of Coimbra, Rua<br />
Luís Reis Santos, Polo II da UC, 3030 - 788, Coimbra, Portugal,<br />
alcosta@dec.uc.pt, Maria Cunha, Paulo Coelho, Herbert Einstein<br />
Planning of High-Speed Railways must consider multiple and uncertain future<br />
conditions under which to perform (e.g. floodings, earthquakes). Options<br />
in corridors and technical solutions to adopt exist and different solutions may<br />
yield different overall performance. This paper discusses a systematic tool developed<br />
to address this specific problem. The Simulated Annealing Algorithm<br />
(SAA) is implemented to solve the alignment optimization model. Applications<br />
to case studies of increasing complexity and size are presented. The estimation<br />
of the SAA parameter combination yielding the best results and the influence<br />
of the problem specifics in the process are discussed.<br />
� TB-04<br />
Tuesday, <strong>11</strong>:00-12:30<br />
Meeting Room 103<br />
New Directions in Operations Management<br />
Stream: Operations Management<br />
Invited session<br />
Chair: Ronald Askin, Arizona State University, 85287, Tempe, AZ,<br />
United States, ron.askin@asu.edu<br />
1 - Qualification Management for Semiconductor Assembly<br />
and Test Facilities<br />
Ronald Askin, Industrial Engineering, Arizona State University,<br />
Computing, Informatics and Dec. Systems Engineering, PO Box<br />
8809, 85287-8809, Tempe, AZ, United States,<br />
ron.askin@asu.edu, John Fowler, Mengying Fu, Muhong Zhang<br />
We consider a multiproduct flexible flow system with parallel machines at each<br />
stage. Machine qualification is necessary prior to utilizing a specific machine<br />
for a product. Qualification consumes valuable production and engineering<br />
time but increases flexibility that is useful for accommodating random, bulk<br />
demands. In this talk we provide deterministic and stochastic models to optimize<br />
qualification decisions and implement these models in a user-friendly<br />
system.<br />
2 - Effect of Retailer and Consumer Stockpiling on Pass-<br />
Through of Manufacturer’s Discounts<br />
Candace Yano, University of California, Berkeley, United States,<br />
yano@ieor.berkeley.edu, Huanhuan Qi<br />
Empirical studies indicate that when manufacturers offer discounts to retailers,<br />
retailers rarely pass on the full amount of the discount to customers. We study<br />
a scenario in which retailers stockpile inventory in response to manufactureroffered<br />
discounts and customers stockpile in response to retailer-offered discounts.<br />
We characterize the retailer’s optimal discounting and ordering policy<br />
and the manufacturer’s optimal discounting strategy in view of the retailer’s<br />
response to it, and the customer’s response to the retailer’s strategy.<br />
3 - Evolution of Manufacturing Systems: A Model Based<br />
View<br />
John Buzacott, Schulich Business School, York University,<br />
203-955 Millwood Road, M4G 4E3, Toronto, Ontario, Canada,<br />
jbuzacot@schulich.yorku.ca