Informs Annual Meeting 2017

POSTER SESSION

INFORMS Houston – 2017

21 - An Artificial Neural Network Based Decision Framework for VRPTW Bochen Wang, Shanghai University, Shanghai, China, websterchen@163.com This paper proposes an improved technique for VRPTW decision framework by using the Cplex solution to train the BP neural network. Through tunning parameters, the trained network can get the near optimal solution of VRPTW. The numerical result shows the improved method can reduce computing time efficiently. 22 - Cranes Scheduling in Frame Bridges Based Automated Container Terminals Wencheng Wang, Shanghai University, Shanghai, China, 194716297@qq.com This paper investigates crane scheduling problems for a new type of automated container terminal system, which is based on multi-storey frame bridges. For this new design concept, this paper studies how to schedule two types of cranes, i.e., quay cranes and bridge cranes that transfer containers between different storeys. The schedules of these two types of cranes impact the operation efficiency of the terminal system. Mathematical models are proposed for the two scheduling problems. Meta-heuristics are developed to solve them. Numerical experiments are conducted to validate the effectiveness of the proposed models and the efficiency of the proposed solution method. 23 - Forecasting Environmental Life Cycle Impacts (FELCI) for U.S. Army Material Selection Matthew D. Wood, U.S. Army Engineer Research and Development Center, ERDC - US.Army Corps of Engineers New England, 696 Virginia Road, Concord, MA, 01742, United States, matthew.d.wood@usace.army.mil, Taylor E.Rycroft, Jeffrey Cegan, Igor Linkov Managers of military training ranges require approval from environmental regulators and other interests when proposing changes to training activities (e.g., new materials, operating procedures). Regulators bias toward requiring all possible environmental tests, however, information gained tends to decrease logarithmically as time/dollar cost increases. We introduce the FELCI tool, a portfolio model built on top of UNEP/SETAC’s USEtox 2.0 model. It recommends the optimal portfolio(s) of fate, exposure, and effects tests that minimize uncertainty in predicted ecotoxicological impacts while adhering to program cost and time constraints. 24 - Multi-parametric Sensitivity Analysis of Integer Programming: A Comparison of Two Optimization Algorithms Hsin Pin Wu, National Tsing Hua University, No. 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan 30013, R.O.C., Hsinchu, 30013, Taiwan, newstephanie90404@gmail.com, Yu Ching Lee, Chor Yiu Sin This study develops multi-parametric sensitivity analysis theorems for integer programs from two different algorithms: column generation and the iterative dual method proposed by Shapiro (1977). We develop post-optimality analysis theorems which indicate that the optimal solution will remain optimal if the sum of the negative reduced cost is not less than a threshold. Then, we carry out numerical experiments with multi-parameter costs perturbation problem using two proposed theorems separately and compare the results and computational tractability. 25 - Store Brand Introduction Strategy under Retailer Stackelberg Leadership Supply Chain Hongming Xu, Doctoral Candidate, Tongji University, School of Economics and Management, 1239 Siping Road, Shanghai, China, shyiming2013@gmail.com, Yongrui Duan, Jiazhen Huo We study store brand introduction strategies in a market channel composed of one national brand manufacturer and two retailers which, each, carry a national brand product and may sell its own brand product. We use a game theoretic model to analyze interactions between retailers’ store brand decision and channel leadership structures which contained both vertical level (between manufacturer and retailers) and horizontal level (between retailers) with retailers as leader . As a result, retailers will be easier to introduce a store brand in a retailer stackelberg leadership structure. 26 - Measuring Nursing Home Efficiency using PCA-DEA Approach Fangzheng Yuan, Upper Great Plains Transportation Institute, 1340 Administration Ave, Fargo, ND, 58108, United States, Fangzheng.yuan@ndsu.edu, Yongshin Park This study employs a robust approach to measure the efficiency of the nursing homes in Fargo-Moorhead Metropolitan area using two stage analysis consisting of principal component analysis (PCA) and data envelopment analysis (DEA). The objective is to improve discriminatory power of the DEA by reducing the dimensionality of data set when there is an excessive number of inputs and outputs compared to the number of decision-making units (DMUs). The performance of each DMUs is ranked and a benchmarking target is provided to improve the efficiency score in this study. The result demonstrates that using PCA can noticeably improve the discrimination of DEA models.

27 - Multimodal Emergency Medical Transportation Network Design for Trauma Patients Nasibeh Zanjirani Farahani, University of Missouri, E3437 Thomas and Nell Lafferre Hall, Columbia, MO, 65211, United States, nzqpc@mail.missouri.edu, James Noble, Moein Enayati Parallel usage of different modes of transportation in the design of healthcare transportation network provides the chance of full demand coverage for trauma patients’ services. Ambulances and helicopters should work together to achieve the highest rate of survival. This paper presents a mathematical model to reach the minimum commuting time. 28 - Liner Ship Deployment Considering Transshipment, Fuel Cost and Port Capacity Lu Zhen, Shanghai University, Room 469, 599 Shangda Road, Shanghai, 200444, China, mmshan@shu.edu.cn, Hu-Chen Liu, Jianxin You, Jianxin You, Mengmeng Shan This paper investigates a liner ship deployment problem, which can help a liner shipping company to decide the suitable number of ships deployed on each route as well as the suitable arrival time at each port of call on each route in the company’s shipping network. Different from the related literature, this paper considers some more comprehensive and realistic factors such as the container transshipment in the network, ships’ fuel consumption cost affected by their sailing speed, capacity limitations at ports with respect to the resources of berths 29 - Flexible Design under Uncertainties K.Jo Min, Iowa State University, 3004 Black Engineering, Department of Industrial &, Ames, IA, 50011-2164, United States, jomin@iastate.edu, John Jackman, Chung-Hsiao Wang, Joe Eilers In this poster, we examine the economic value of various flexibilities in the design of products, processes, and systems based on simple principles of stochastic optimal control. We show how such a value determines strategic decisions relevant to design, and discuss the economic implications and managerial insights. 30 - Applying a Pythagorean Model for NFL Playoff Analytics Tung Cu, Bloomsburg University of Pennsylvania, 400 E. Second Street, Bloomsburg, PA, 17815, United States, tcu@bloomu.edu, Carolyn Lamacchia, Ty Rohrbach Sport analytic topics have been received a large attention by both professional and academic communities. However, previous research on predictive modeling of National Football League (NFL) games only focuses on one-for-all models for an entire season. Since competitions in regular season much differ from that in playoffs, previous models are not robust. Strategic moves in a regular season are for the best conference position while playoffs present a win-at-all-cost situation. The result of the playoffs is much more uncertain than regular season games. The current study proposes a Pythagorean model to predict the NFL playoffs since playoff games lead to the coveted championship. 31 - New Data for Representing Irrigated Agriculture in Economy-wide Models Kirby Ledvina, MIT.Joint Program on the Science and Policy of Global Change, 77 Massachusetts Avenue, Building E19-411, Cambridge, MA, 02139, United States, kledvina@mit.edu, Niven Winchester, Kenneth Strzepek, John Reilly The paper develops a framework to represent irrigated land’s crop production value and expansion potential within economy-wide models. Production values are calculated at a high spatial resolution, and a global dataset of evaluation metrics identifies the regions and crops where there are large differences in irrigated production value shares based on direct calculation and approximated by output volumes. Separately, the paper quantifies irrigated land’s expansion potential through regional supply curves based on water availability and the costs of irrigation infrastructure. Altogether, the paper enables a deeper exploration of the impacts of water availability on economic activity. 32 - Measuring Climate Resilience of Hong Kong’s Transportation System Xinying Huang, University of Hong Kong, Pokfulam Road, Haking Wong Building, Hong Kong, Hong Kong, xinying@hku.hk Transportation plays an important role in a society’s daily operation. Under the background of global warming, there are more extreme weather events, such as tropical cyclone, rainstorm, etc. Almost all modes of Hong Kong’s transportation will be affected by these events. The impact reflects on the decrease in road capacity, the increase in transportation time, etc. Resilience is the ability of a system to maintain its main function when disaster or emergency happens. This research uses stochastic programming to model a multi-modal transportation network under adverse weather condition for Hong Kong and does analysis on network resilience.

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