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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

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