Decision Sciences and MIS

Research

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

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)

Salmani, Yasamin S., Partovi, F. Y., and Banerjee, A., Customer-Driven Investment Decisions in Existing Miltiple Sales Channels. International Journal of Production Economics Forthcoming (Forthcoming)

Van Bergen, Matthijs, Steeman, Michiel, Reindorp, Matthew, and Gelsomino, Luca, Supply Chain Finance Schemes in the Procurement of Agricultural Products. Journal of Purchasing and Supply Management (Forthcoming)

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

Samantli, Gulay, Shen, Wenjing, and Hu, Xinxin, The Impact of Consumer Loss Aversion on Returns Policies and Supply Chain Coordination. International Journal of Operations Research and Information Systems 9 (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)

Lev, Benjamin, “Speaker at Doctoral Colloquium”. INFORMS Conference (Nov 2018):

Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Oct 2018):

Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Sep 2018):

Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Sep 2018):

McCullough, B D., Using Student Evaluations of Teaching to Support Faculty: Use Proportions Instead of Means to Analyze SETs. Journal of Higher Education Theory and Practice 18 (Sep 2018): 138-144.

Zhou, X., Wang, J., Yang, X., Lev, Benjamin, Tu, Y., and Wang, S., “Portfolio Selection under different attitudes in fuzzy environment”. Journal of Information Science 462 (Sep 2018): 278-289.