Informs Annual Meeting 2017

TE32

INFORMS Houston – 2017

TE32

expectations of the different airspace stakeholders, naturally lead to multi- objective optimization. To evaluate the tractability of the proposed model, a computational performance analysis on a set of realistic instances will be presented. 2 - Capacity Scenarios for Multiple Airport Regions and their We identify multiple airport regions (MARs) in the United States based on the temporal distance between airports. Clustering analysis is implemented to identify daily capacity scenarios in 2015 for the airports for the New York MAR. Using the scenarios, we formulate a mixed-integer linear programming model to reschedule and reassign flights into the New York MAR to minimize the total cost of delay and inter-airport flight shifting. 3 - Evaluating Capacities of New York-area Airports Combining Empirical Data with Enveloping Methods We present a capacity estimation method that combines large amounts of ASPM data with published capacity studies and methods in the literature for estimating capacity envelopes at the three New York-area airports. Based on this approach, will illustrate how existing capacity values may not provide sufficient flexibility tradeoff in off-nominal conditions. As a result, we provide suggested alternative capacities to reflect those additional data points, to provide inputs into models that assess the delay performance under certain GDP procedures. 4 - Models for Setting Airport Capacities Application for Regional Air Traffic Management Ang Li, angli@berkeley.edu, Mark M. Hansen Jeremy Eckhause, RAND Corporation, 1200 S. Hayes St., Arlington, VA, 22202, United States, eckhause@rand.org, Kenneth Kuhn, Candice Miller

351B Supply Chain, Design & Services Contributed Session Chair: Huajiang LUO, Lingnan University, Hong Kong, Hong Kong, huajiangluo@ln.edu.hk 1 - Dynamic Pricing Competition of Fresh Produces under Vertical Product Differentiation Chang Xu, East China University of Science and Technology, Shanghai, China, 947319206@qq.com This paper study the dynamic pricing competition between two firms respectively offering vertically differentiated fresh produces of which freshness is decrease over time without considering fresh-keeping effort. Then, through taking into account the freshness-keeping effort, we deepen the analysis of the problem. We show that the retailer would mark down its price when its decay rate promote comparing to its rival and , accordingly, its accumulated discount income would decline. And we also find it would be profitable for the retailer to trade off between the gains from the depressing the decay rate and the losses from rising the price for the compensation of the cost of freshness-keeping effort. 2 - Cost of Information Sharing in Group Purchasing Gilles Merckx, University of Namur, Rempart de la Vierge, 8, Namur, 5000, Belgium, gilles.merckx@unamur.be, Wenli Peng, Aadhaar Chaturvedi, Philippe Chevalier We investigate through a Cournot model whether group purchasing could be attractive for competing firms, when the next period market demand and firms’ product quality are uncertain. In this context, group purchasing offers the firms a higher negotiation power with the supplier, but also requires to reveal some sensitive information to the competitor, as the quantity desired (which is a signal of a firm’s product quality and market demand estimation), in order to negotiate as a single buyer with the supplier. Hence it is not clear whether firms should agree on doing group purchasing. We find that different types of uncertainty can lead the firms to select opposite purchasing strategies. 3 - Price Competition and Quality Competition: National Brand vs. Store Brand Tulika Chakraborty, Research Associate, John Molson School of Business, 1450 Rue Guy, Montreal, QC, H3H2L5, Canada, jum.tulika@gmail.com, Satyaveer S. Chauhan, Xiao Huang We consider a supply chain in a market segment where a national brand competes with a retailer’s private label product with respect to not only price but also quality. We use the game theoretic model to focus the impact of different channel leadership of quality-setting stage on optimal decisions. 4 - Strategic Timing of New Product Release with Information Leakage under Competition Huajiang LUO, PhD Student, Lingnan University, Hong Kong, Hong Kong, huajiangluo@ln.edu.hk, Tian Li, Weixin Shang We consider a model in which two firms plan to sell substitutable new products to a uncertain market. Each firm makes two decisions (release timing decision and quantity decision) based on its private information. The late firm can infer the early one’s information via its quantity. We find that the late firm will commit a higher quantity, and hence early releasing doesn’t necessarily translate into a bigger market share. When the competition is not intense, the equilibrium is that the more-informed firm releases later than the less-informed one. With private information, sequentially releasing new product dampens the quantity competition, and firms benefit from the differentiation of release time. 351C From the Center to the Terminal: Methods for Managing Airspace and Airport Operations Sponsored: Aviation Applications Sponsored Session Chair: James Calvin Jones, University of Maryland, College Park, MD, United States, jonesjc1@gmail.com 1 - An Optimization Framework for Trajectory Based Operations in Air Traffic Flow Management Guglielmo Lulli, Lancaster University, Lancaster, LA1 4YX, United Kingdom, g.lulli@lancaster.ac.uk, Veronica Dal Sasso, Franklin Djeumou Fomeni, Giuseppe Murgese, Konstantinos G. Zografos In this talk, we present a mathematical framework - developed within the activities of the SESAR ER project OptiFrame - to optimally configure and assess the performance of the Trajectory Based Operation (TBO) concept. The existence of multiple and sometimes conflicting objectives, reflecting the views and TE33

James Calvin Jones, University of Maryland-College Park, 223 Concord Turnpike, Apt 206, Cambridge, MA, 02140, United States, jonesjc1@gmail.com

In this presentation we propose a supervised learning method for predicting airport capacity as well as the uncertainty associated with those predictions. We also discuss a chance-constrained programming model that leverages the uncertainty from these predictions to select the planned airport capacity.

TE34

351D Optimization and Military Applications Sponsored: Military Applications Sponsored Session Chair: Keith DeGregory, USMA, West Point, NY, Keith.Degregory@usma.edu

TE35

351E Supply Chain Optimization Contributed Session Chair: Ziyu Zhai, Huazhong University of Science and Technology, Wuhan, China, zhaiziyu000@126.com 1 - An Analytical Model for Low Carbon Supplier Development Chiranjit Das, Indian Institute of Management Rohtak, MD University Campus, Rohtak, Haryana, Rohtak, 124001, India, fpm02.003@iimrohtak.ac.in, Sanjay Jharkharia This paper deduces a set of association rules of firm’s investment and collaboration decisions for low carbon supplier development through fuzzy-c- means (FCM) clustering algorithm and fuzzy formal concept analysis. Firstly, suppliers are classified based on carbon performances through FCM algorithm and finally fuzzy formal concept lattice structure and implication rules for relative investment and collaboration decisions are deduced through the help of next closure algorithm and implication operator. Lastly, the model is illustrated through a case study of an Indian apparel manufacturing firm. 3 - EU Effect and the Adoption of Environmental Practices Among Apparel and Textile Firms in Developing Economies J. Shubham, Indian Institute of Management Raipur, GEC Campus, Raipur, 492015, India, shubham.1913@gmail.com, L.S. Murty This paper analyses the linkage between international trade and environmental issues. We examine how the commitments of Annexe I countries to Kyoto Protocol has impacted the reduction in carbon dioxide emission(CO2) levels of top apparel and textile exporting developing countries? We found that trade with the European Union has helped in significantly reducing emissionCO2 levels among developing countries. Thus, this paper acknowledges the strength of European Union as a formidable trade power and presence of “EU-effect” in the area of environmental governance.

422