Decision Sciences and MIS


The Decision Sciences Department has three major research disciplines: statistics, operations research and operations management. Statistics research topics include datamining, quality control, correlation/covariance and skewness models; in Operations Research, nonlinear optimization, which encompasses a range of mathematical methods to model and optimize the performance of complex systems in business, engineering, and medicine; and in Operations Management, the modeling and analysis of strategic and operational decisions in supply chain management and healthcare systems.

Recent Works

Liao, Yi, Li, Jun, Hu, Xinxin, Li, Ying, and Shen, Wenjing, Application of Lateral Transshipment in Cost Reduction of Decentralized Systems. Sustainability Journal (Forthcoming)

Fang, Jin, and Partovi, F. Y., A Hits-Based Model for Facility Location Decision. Expert Systems With Applications (Forthcoming)

Ping, Yanni, and Kim, Seung-Lae, In-House Production vs Outsourcing: the Effect of Volume-Based Learning on Qua;ity Competition. International Journal of Operational Research (IJOR) (Forthcoming)

Lee, Jinwook, and Kim, Jongpil, Partially ordered data sets and a new efficient method for calculating multivariate conditional value-at-risk. Annals of Operations Research (Forthcoming)

Agor, Joseph, Ozaltin, Osman, Ivy, Julie, Capan, Muge, Arnold, Ryan, and Romero, Santiago, The value of missing information in severity of illness score development. Journal of Biomedical Informatics 97 (Forthcoming)

Prints, Miranda, Fishbein, Daniela, Arnold, Ryan, Stander, Eric, Miller, Kristen, Kim, Tracy, and Capan, Muge, Understanding the perception of workload in the emergency department and its impact on medical decision making. The American Journal of Emergency Medicine (Forthcoming)

Anandarajan, Murugan, Data quilting: Art and science of analyzing disparate data. Journal Cogent Business & Management 6 (Jul 2019):

Jazayeri, Ali, Capan, Muge, Yang, Christopher C., Khoshnevisan, Farzaneh, Chi, Min, and Arnold, Ryan, Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions. 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Forthcoming)

Littlejohn, Robin, Schubel, Laura, Romero Barrientos, R, Arnold, Ryan, Capan, Muge, and Miller, Kristen, Everything but the Kitchen Sink: A Mixed Methods Approach to Health IT Usability Testing. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019 (Forthcoming)

Li, Bin, Zhang, Shengfan, Hoover, Stephen, Arnold, Ryan, and Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Forthcoming)

Capan, Muge, Hoover, Stephen, Ivy, Julie, Miller, Kristen, and Arnold, Ryan, Not all organ dysfunctions are created equal &#-775232; prevalence and mortality in sepsis. Journal of Critical Care (Forthcoming)

Dimitrov, Stanko, and Ceryan, Oben, Optimal Inventory Decisions when Offering Layaway. International Journal of Production Research (Forthcoming)

Li, Xiaolin, Wu, Chaojiang, and Mai, Feng, The Effect of Online Reviews on Product Sales: A Joint Sentiment-Topic Analysis. Information and Management (Forthcoming)

Du, Bowen, Zhou, Wenjun, Liu, Chuanren, Cui, Yifeng, and Xiong, Hui, Transit Pattern Detection Using Tensor Factorization. Informs Journal on Computing (Forthcoming)

McWilliams, Thomas P., Davis, Darwin, Saniga, Erwin, Lucas, James, and Faraz, Alireza, Characteristics of Economically Designed CUSUM and X-Bar Charts. Frontiers in Statistical Quality Control (Forthcoming)