2016 INFORMS Annual Meeting Program

POSTER SESSION

INFORMS Nashville – 2016

Monday, 12:30PM - 2:30PM

Two-dimensional Cutting Problem And Pallet Loading Problem Using Industrial Robots David Alvarez Martinez, Los Andes University, Colombia, Bogotá, Colombia; d.alvarezm@uniandes.edu.co, Guillermo A. Camacho Muñoz We developed an automatic cutting and palletizing system, solving the two- dimensional single knapsack problem and the distributor’s pallet loading problem. The system is composed by: optimization stage, code-generator, manipulator and plasma cutter (vacuum gripper). At the optimization we use a GRASP algorithm; at the code generation we use the forward kinematic model (FKM) of the manipulator. The GRASP was validated by using the classical benchmarks. The FKM was validated using the simulator and the controller provided by the Robot vendor. Finally, we enhanced the cutting procedure through a post-processing. It reduces the time and keeps the accuracy, but increases particulate generation. Meaningful Use Of Health Information Technology And Process Quality Of Care At Hospitals: A Patient Safety Culture Perspective Ajit Appari, University of Texas Health Science Center at Houston, 1200 Pressler Street, RAS W-310, School of Public Health, Houston, TX, 77030, United States, ajit.appari@uth.tmc.edu Xin (David) Ding, Rajendar R Aparasu Based on the Resource Based View and Sociotechnical System Theory, we examined the synergetic effect of meaningful use of health information technology (IT) and patient safety culture on hospital quality of care performance. Hospital safety culture was measured using composite score derived from confirmatory factor analysis. Health IT meaningful use was measured as composite index of nine meaningful use criteria with patient days as weights. We analyzed data from 305 nonfederal acute care hospitals using two-step Heckman estimation approach and adjusting for autocorrelation in performance outcomes. Our results show empirical support for the hypothesized relationship. Gait Assessment: Correlation Of Gait Parameters With Falls Among Patients With Cognitive Impairment In aging, alteration in the customarily stable gait pattern is one of the most consistent predictors of falls. Adults with cognitive impairment fall 5x more than their cognitive intact peers. In this study, we assess the correlation between gait characteristics captured by gait mat technology and history of falls among patients with Mild Cognitive Impairment and Alzheimer’s Disease diagnoses. On Optimization Of Carbon Capture, Utilization, And Storage Supply Chains Under Uncertainty Mahnaz Asghari Khankandi, Virginia Tech, Blacksburg, VA, 24060, United States, mahnaz@vt.edu Carbon capture, utilization, and storage (CCUS) is a crucial technology to mitigate climate change. Due to the high costs of the technology, a great deal of attention has been focused on how the captured Co2 can be optimally utilized or stored. We study optimizing CCUS supply chains under an uncertain environment. In this poster, we present an algorithm to generate a candidate network for Co2 transportation and a model for optimizing the utilization and storage of the captured Co2 in CCUS systems. Ethanol Risk Management Modeling Iddrisu Awudu, Quinnipiac University, 12 Kaye Plaza, Apt E-22, Hamden, CT, 06514, United States, iddrisu.awudu@quinnipiac.edu A theoretical model is developed including margins and risk is measured using value at risk (VaR). An empirical model is developed and extended to VaR using copulas to analyze the marginal distribution and dependence structure for input and output prices on margins. Efficient frontier curves analyzing VaR with and without copula are discussed. The results compare varying risk-strategy measures for long corn, short corn, and combining short and long corn. Sensitivity analyses are conducted for functional changes in the margin as a result of ethanol price changes. A Location Allocation Model For Facility Planning To Minimize The Operational Cost Damitha Bandara, Dr., Albany State University, 2805, Albany, GA, 31721, United States, damithb@g.clemson.edu Locating and allocating distribution centers optimally is a crucial and systematic task for decision-makers. Optimally located distribution centers can significantly improve the logistics system’s efficiency and reduce its operational costs. In this research, we develop a mathematical model to determine the optimal locations and allocations for distribution centers that minimizes the operational cost. The model is used to find the optimal location and allocation of distributions centers for a leading company in the USA. Computational results show that the company can reduce their operational cost significantly by implementing new optimal distribution locations. Idil Arsik, Georgia Institute of Technology, 765 Ferst Drive, Atlanta, GA, 30332, United States, idilarsik@gatech.edu Pinar Keskinocak, Joe Nocera, Gregory J Esper

Poster Session

Exhibit Hall Monday Poster Poster Session Mature Oil Fields And Real Options Valuation: Simulation In The Brazilian Oil Industry Carlos Abreu, Adjunct Professor, Federal University of Rio Grande do Norte State (UFRN), Avenida das Brancas Dunas, Natal, 59064720, Brazil, calexandreabreu@ect.ufrn.br Real Option Valuation in the Oil industry is an important tool for decision-making valuating a potential flexibility caused by the uncertainties in oil projects. Mature fields are a considerable portion of producing oil fields around the world. These oil fields production projects need positive future expectations regarding oil prices to get a positive investing decision. The Real Options models valuates the decision to wait for better expectation in prices. In this paper we have a Real Options analysis in two simulations for mature oil field in the northeastern of Brazil applying a decision-making rule using Real Options Valuation, net present value and return on investment indicator. Class-based Warehouse Location Allocation For Textile Products Esra Agca Aktunc, Kadir Has University, Faculty of Engineering and Natural Sciences, Kadir Has Caddesi Cibali, Istanbul, 34083, Turkey, esra.agca@khas.edu.tr, Halil Argun, Erkin Gokce This study focuses on building a layout plan by allocating storage space to products in a warehouse of a textile company (English Home) which allows for the minimum total travel distance of operators for order picking or placing. The study is carried out by (1) performing regression analysis for sales forecasting for each product class, (2) applying Analytical Hierarchy Process for determining product class weights, and (3) formulating and solving a linear program to minimize the weighted total distance between storage locations, collecting area, and loading dock using GAMS. Optimal solution results in 26.8% less distance required for order picking than the previous layout. Application Of Advanced Analytics In Banking Big Data Mou Dutta, Genpact Analytics & Reserach, Danbury, CT, mou.dutta@genpact.com Data is meaningful when it delivers insights. Data analysis is smart when insights are actionable. In today’s world big data and analytics is transforming the business end to end with smart intelligent insights challenging the conventional thought process and enabling the marketers to optimize strategies to build a genuine customer connect and cultivate a positive relationship. This presentation aims to highlight how marketers are shifting their attention to the application of cutting edge advanced analytics solutions to gain in-depth knowledge of consumer buying preferences and product affinity and hence optimize existing cross selling and up selling marketing strategies. Efficient Algorithm To Improve Scheduling Problem Solutions Golshan Madraki, Ohio University, Athens, OH, g.madraki@gmail.com Any choice-free manufacturing system can be represented by a directed acyclic graph (DAG) where the nodes and edges represent the operations, the sequence of the operations, and with the scheduling of the jobs respectively. Graphical wise, perturbation may occur over structure of the graph denoting scheduling or sequencing of operations. The goal of current research is to find the efficient algorithms to calculate changes to the makespan in a system under multiple structural perturbations. The paper will show that there will be savings in the complexity of the calculations if the perturbations are not extensive. As an example, a buffered job shop system is considered. Comparing Two Goods-to-person Order Picking Systems For Online Retailing Francisco Jose Aldarondo, University of Michigan, Ann Arbor, MI, faldaron@umich.edu Using simulation modeling and an on-line retail setting, we compare the performance of two types of goods-to-person order picking (OP) systems, namely, the Kiva system and the Miniload-AS/RS with a conveyor loop (to connect the pick stations). The two systems are compared on the basis of quantitative factors such as expected throughput (line items picked per hour), expected picker and material handling equipment utilizations, and order completion times. We also compare the two systems in terms of qualitative factors that are relevant for OP systems.

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