2015 Informs Annual Meeting

WA74

INFORMS Philadelphia – 2015

WA74 74-Room 204A, CC Decision Analysis Approaches and Predictive Modeling to Managing Uncertainty in Manufacturing and Service Systems Design & Operations Sponsor: Quality, Statistics and Reliability Sponsored Session Chair: Zhenyu Kong, Associate Professor, Virginia Tech University, 123 Durham Hall (MC 0118) 1145 Perry Str, Blacksburg, VA, 24061, United States of America, zkong@vt.edu 1 - Self-Organizing Network for Variable Clustering and Predictive Analytics Gang Liu, University of South Florida, 4202 E. Fowler Ave. ENB118, Tampa, FL, United States of America, gliu@mail.usf.edu, Hui Yang This paper presents a new methodology of self-organizing network for variable clustering and predictive modeling. Specifically, nonlinear interdependence structures are characterized and measured among variables. Further, we embedded these variables as nodes in a complex network. Nonlinear-coupling forces move these nodes to derive a self-organizing topology of network. As a result, sub-network communities delineates the cluster structure of variables. 2 - A State Space Model for Multivariate Poisson Count Series Nan Chen, National University of Singapore, isecn@nus.edu.sg, Chen Zhang This paper proposes a state space model to model and monitor multivariate count series. The model is built on multivariate log-normal mixture of independent Poisson distribution and allows for serial dependence by considering the Poisson mean vector as a latent process driven by a state space model. Based on this model, we furthermore propose a statistical process control scheme for multivariate count series. Finally we present a case study in an electrical system. 3 - Generalized Wavelet Shrinkage of Raman Spectra for Quality Control of Continuous Nanomanufacturing Xiaowei Yue, Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta, GA, 30332, United States of America, xiaowei.isye@gmail.com, J.g. Park, Jianjun Shi, Hao Yan, Kan Wang, Chuck Zhang, Zhiyong Liang Raman spectroscopy is an attractive in-line quality characterization and quantification tool for continuous nanomanufacturing.A signal analysis model with signal-dependent noises for Raman spectra is developed and validated.And a novel generalized wavelet shrinkage approach is introduced to remove noise in all wavelet coefficients by applying individual adaptive wavelet thresholds. The effectiveness of this method is demonstrated using both simulation and experimental case studies. 4 - A Novel Bayesian Learning Algorithm for Sparse Estimation under Mixed Gaussian-Laplacian Noise Babak Barazandeh, Research Assistant, Virginia Tech University, Room 211 Graduate life center- 155 Otey, Blacksburg, VA, 24061, United States of America, babak7@vt.edu, Zhenyu Kong, Kaveh Bastani Sparse estimation problem is very challenging due to the ill-posedness of the problem. Typically the sparsity assumption provides some viable algorithms to approximate the solution. However, most of these algorithms minimize the l-2 norm error due the Gaussian noise assumption, which is sensitive to outliers caused by Laplacian noise. We propose a novel Bayesian learning algorithm with a parameterized prior encouraging sparsity under the mixture of Gaussian and Laplacian noise. WA75 75-Room 204B, CC Supply Chain Management IX Contributed Session Chair: Wan Libing, Huazhong University of Science & Technology, 1037 Luoyu Road, Wuhan, P.R. China, Wuhan, China, wanlibingwlb@163.com 1 - A Mathematical Model of Vehicle Routing Problem for Third-Party Logistics Service Providers Birasnav M, New York Institute of Technology, Broadway, 61st Street, Manhattan, NY, 10023, United States of America, birasnav@gmail.com Third-party logistics service providers play a major role in the distribution of matchboxes from southern towns to northern towns of India. These service providers operate a facility called cross-docking that receives bundles of

matchboxes from various suppliers located around the facility and consolidates and dispatches these bundles to customers. 2 - Multi Region Input Output Model for Scope-based Carbon Footprint Accounting Murat Kucukvar, Assistant Professor, Istanbul Sehir University, This research aims to advance the body of knowledge on carbon footprint analysis of the manufacturing sectors with a holistic approach combining the scope-based carbon footprint accounting standards with a time series multi-region input- output (MRIO) analysis framework. To achieve this goal, a global scope-based carbon footprint analysis of the Turkish manufacturing sectors has been conducted as a case study. 3 - Optimal Remanufacturing Strategies in Name-your-own-price Auctions with Limited Capacity Qifei Wang, Huazhong University of Science and Technology, Luoyu Road, 1037 Building, Wuhan, Hubei, Wuhan, China, qifeiwang@hust.edu.cn, Chengxiu Gao, Hong Yan, Stuart X. Zhu, Jianbin Li We study optimal remanufacturing strategies in a closed-loop supply chain. The returns are collected under a name-your-own-price (NYOP) bidding mechanism. We find the manufacturer’s optimal strategies mainly depend on bidding cost, cost saving, production capacity, and market scale. We also compare this mechanism with traditional list price mechanism and find the conditions under which the manufacturer prefers the NYOP mechanism. Some managerial insights are obtained through numerical studies. 4 - Optimal Price and Sales Effort Level in a Dual-channel Supply Chain in Case of Bidirectional Free Riding Mengping Zhu, Huazhong University of Science and Technology, Luoyu Road, 1037 Building, Wuhan, Hubei, Wuhan, China, zhumpluck@163.com, Jianbin Li, Bin Dai We study the optimal policy in case of bidirectional free riding and price competition. Results show that: in the decentralized supply chain, retailers’ optimal sales effort depends on wholesale price, effort cost and the free riding coefficient: when the effort cost is too high or too low, the manufacturer will offer the same wholesale price for both retailers, otherwise, the manufacturer engages in wholesale price discrimination. 5 - The Competition Strategy Analysis in a Mixed Duopoly Market Wan Libing, Huazhong University of Science & Technology, 1037 Luoyu Road, Wuhan, P.R. China, Wuhan, China, wanlibingwlb@163.com So far, China’s express industry has formed a mixed oligopoly market in which state-owned enterprise and private enterprises compete together. This thesis studies duopoly express service providers’ price and capacity based on mathematical models. We compare social welfare between the two competition strategies of state-owned company. The result shows that state-owned company should either maximum social welfare or maximum profit as its objective which is depended on technological conditions. WA76 76-Room 204C, CC Simulation I Contributed Session Chair: Pratik Misra, Air Products and Chemicals, Inc., 7201 Hamilton Boulevard, Allentown, PA, 18195, United States of America, Misrap@airproducts.com 1 - Optimal Design Models for 3d Automated Parking Systems Guangmei Wu, Doctoral Student, Huazhong University of Science In this paper, we consider a newly designed for automatic parking garage system. We mainly use queuing network models to estimate the system expected travel time when we retrieve the cars. Our research objective is to analyze the system performance and optimally design for automatic parking garage system. 2 - Efficient Sampling of the Brown-resnick Process Zhipeng Liu, PhD Candidate, Columbia University, 424 West 119th Street, 6B, New York, NY, 10027, United States of America, zl2337@columbia.edu, Jose Blanchet We propose a perfect simulation algorithm for the Brown-Resnick process. This algorithm has an optimal computational cost in the sense that it has nearly linear complexity with simulation of the basic Gaussian Random field. We mainly use importance sampling and acceptance-rejection procedure to construct this algorithm. Altunizade, No 27, Istanbul, 34662, Turkey, muratkucukvar@sehir.edu.tr, Vural Aksakalli &Technology, 1037 Luoyu Road, Wuhan, 430070, China, wuguangmei163@163.com, Xianhao Xu, Yeming Gong

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