2016 INFORMS Annual Meeting Program

POSTER SESSION

INFORMS Nashville – 2016

Multi-agent Simulation For Integrative Analysis Of Renewable Energy Policy – Feed-in Tariffs Vs. Renewable Portfolio Standards Masaaki Suzuki, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, Japan, m-suzuki@rs.tus.ac.jp, Mari Ito, Ryuta Takashima Recently support schemes for renewable energy as renewable portfolio standards (RPS) and feed-in tariff (FIT) have been introduced due to further penetration of renewable energies. In this work, multi-agent simulation analysis of RPS and FIT has been conducted. Especially, we analyze an effect of the level of RPS and FIT price on electricity price and power output. By comparing the results obtained from the simulation and the equilibrium analysis, we have examined an effect of the policies on agents’ behaviors from both bottom-up and top-down viewpoints comprehensively. Finding Constrained Paths In Edge Colored Graphs Marta Szachniuk, Associate Professor, Poznan University of Technology, Institute of Computing Science, Piotrowo 2, Poznan, 60-965, Poland, marta.szachniuk@cs.put.poznan.pl Marta Szachniuk, Associate Professor, Institute of Bioorganic Chemistry, Noskowskiego 12/14, Poznan, 61-704, Poland, marta.szachniuk@cs.put.poznan.pl, Giovanni Felici, Gaurav Singh Edge colored graphs are used to model various real-life problems. One of them inspired us to define an orderly colored longest path (OCLP) problem which amounts to finding the longest path in a graph whose edges are colored with a given number of colors, under the constraint that the path follows a predetermined order of colors. To solve OCLP, ILP algorithms were formulated by means of max flow models with packing constraints and cycle elimination. Recently, alternative formulations of the problem led to its scheduling interpretation and proposing other variants of path with constraints. The presentation will cover basic theoretical and computational issues concerning above mentioned issues. Optimal Policies For Deterioration Inventory Problems With Multiclass Demand Fulfillment yulu Tan, Huazhong university of science and technology, luoyu road 1073, wuhan, China, tylemma@163.com In this paper, we study the problem of allocating deteriorating inventory to demand from several classes of customers when partially backlogging of unfilled demand is possible. The customer classes are distinguished by the price they pay for the item and their backlogging cost. The firm is able to make an allocation decision on which demand to fill and which to delay. The unfilled demand may then wait for later fulfillment. We describe the optimal ordering and allocating policy in an inventory deteriorating environment. Through comparison to a naive allocation of inventory without inventory rationing, we show that profits are significantly influenced by the inventory allocation. A Multiple Linear Regression Model For High Tech Talent Retention In China Jingjing Tong, Assistant Professor, Southeast Missouri State University, One University Plaza, MS 6825, Cape Girardeau, MO, 63701, United States, jtong@semo.edu, Zhi Yang The high tech talent is the backbone of the high tech companies and higher institutions. It is especially important for the developing countries to maintain the innovative capacity and seek competitive advantage during their economic development process. The Chinese governments and organizations have experienced significant difficulties in retaining the high tech talent in spite of their continuous efforts. To address this issue, we apply the multiple linear regression model to the survey data collected from 113 high tech individuals from companies and higher institutions in China in order to identify the most effective strategies to retain them within the organizations. The Effect Of National Culture On Safety: A Near-miss Analysis Xun Tong, Carlson School of Management, 425 SE 13 th Ave, Minneapolis, MN, 55414, United States, bruce.tong@connect.polyu.hk, Xun Tong, Business School, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, bruce.tong@connect.polyu.hk, Kevin Linderman We argue that near-miss events can increase the likelihood of the future serious accident. We investigate the effect of national culture on safety by using data from international shipping industry. Fixed-effects Poisson regression results show that near-miss events of a ship significantly increase the likelihood of the future serious accident while power distance, individualism, and uncertainty avoidance levels play significant roles in moderating the hypothesized main effect. This study shows that near-miss events lead to unlearning of the accidents and thus increases failure likelihood in the future. It also provides evidence on the significant effects of national culture on safety.

An Investigation On Fuzzy Aggregate Production Planning Using Flexible Requirement Profiles Setareh Torabzadeh, PhD Student, University of North Carolina-

Charlotte, 11000E, Diploma Dr, Charlotte, NC, 28262, United States, storabza@uncc.edu, Ertunga C.Ozelkan

This paper investigates the production planning problem using a flexible optimization approach called the Flexible Requirement Profile (FRP). FRP determines flexible bounds on production levels in different periods based on previous plans and forecasted demand. In this paper, a fuzzy linear programming approach is taken to model the uncertainty of data of demand and cost parameters in the future periods, using fuzzy membership functions. The results of the fuzzy model is compared to a deterministic model. Analyzing Supply Chain Resiliency To Mitigate Drug Shortages Despite efforts from the FDA, pharmaceutical companies, and other stakeholders, drug shortages continue to be a national problem. These outages can directly affect patients’ health and are often caused by disruptions that expose manufacturing and supply chain vulnerabilities. These disruptions can include contamination, delays in the delivery of raw materials, and loss of the manufacturing site. We present a preliminary model designed to maximize the resiliency and robustness of the supply of drugs to reduce the impact of potential shortages when there are disruptions in production. We consider uncertainty in the occurrence of disruptions and in the recovery of manufacturing capacity. Optimal Placement Of Inspection Points For Hazmat Routing Harshavardhan Reddy Vempati, Student, University at Buffalo (SUNY), 81 Merrimac St, Buffalo, NY, 14214, United States, hvempati@buffalo.edu, Rajan Batta” There is perennial need of hazmat material transportation for various fields. Minimization of risk involved in road transportation of hazmat has been a significant OR problem. We present a model for optimally placing inspection points after every k miles to reduce the risk. However, since there is a cost involved in setting up inspection points, our model minimizes the no. of inspection points for a given amount of risk. Merging Knapsack Constraints With Cover Inequalities Fabio T Vitor, Graduate Teaching Assistant, Kansas State University, 2061 Rathbone Hall, 1701B Platt St., Manhattan, KS, 66506, United States, fabioftv@k-state.edu, Todd W Easton Merged knapsack cover inequalities is a new class of cutting planes to solve integer programs. This class of cutting planes combines the information from a cover inequality and a knapsack constraint to generate strong valid inequalities. These inequalities can also be exactly lifted through a pseudo-polynomial time dynamic programming algorithm. The resulting exact lifted merged knapsack cover inequality is valid and potentially stronger than the original merged knapsack cover inequality. Computational experiments demonstrate that exact lifted merged knapsack cover inequalities, when implemented as preprocessing cuts, decrease the solution time by 15% and number of ticks from CPLEX by 10%. Containership Deployment On A Liner Service Shuaian Wang, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, wangshuaian@gmail.com, Zhiyuan Liu, Xiaobo Qu, Lu Zhen, hongtao HU This paper investigates how to determine the optimal sequence of ships in a string to minimize the expected number of delayed containers taking uncertain demand into consideration. We use the phrases “sequence of ships”, “string” and “permutation” interchangeably. The main challenge for the problem is that it is almost impossible to predict the probability distribution functions for the future demand. In fact, even if we have the historical data on the demand, the data may be of limited value because the shipping environment changes rapidly. Therefore, a good string should be robust in that it is optimal or near-optimal for any random demand. Outsourcing Decisions Under Scale Effect For Competitive Firms With Product Substitutability Jianghua Wu, Professor, Renmin University of China, 59 Zhongguancun street, Beijing, 100872, China, jwu@ruc.edu.cn, Qiuai Huang This paper discusses outsourcing decisions for a supplier with scale effect and two competitive firms(firm 1 and firm 2) with product substitutability. Based on the profit functions, this study analyzes the effect of firm 1’s outsourcing on the supplier and both firms, finds out the optimal outsourcing strategies and the best wholesale prices, and compares the effects of substitutability on decision variables before and after outsourcing. The results show that a firm may make products by itself when its production cost is higher than wholesale price. However, a firm may also choose to oursource production when its production cost is lower than wholesale price. Emily L. Tucker, University of Michigan, 1205 Beal Ave., Ann Arbor, MI, 48109, United States, eltuck@umich.edu, Mark S. Daskin, Wallace J. Hopp, Burgunda V. Sweet

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