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

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)

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)

Zhou, X., Luo, R., An, Q., Wang, S., and Lev, Benjamin, Water Resource environmental carrying capacity-based reward and penalty mechanism: A benchmarking approach. Journal of Cleaner Production 229 (Aug 2019): 1294-1306.

Liao, H., Jiang, L., Lev, Benjamin, and Fujita, H., Novel operations of PLTSs based on the disparity degrees of linguistic terms and their use in designing the probabilistic linguistic ELECTRE III method. Applied Soft Computing Journal 80 (Jul 2019): 450-464.

Zhou, X., Xu, Z., Chai, J., Yao, L., Wang, S., and Lev, Benjamin, Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model. OMEGA 85 (Jun 2019): 68-82.

McCullough, B D., Mokfi, Taha, and Almaeenejad, Mahsa, On The Accuracy of Linear Regression Routines in Some Datamining Packages. WIREs Data Mining and Knowledge Discovery 9 (May 2019):

McCullough, B D., An Error in An Old Paper Illustrates the Need for Data/Code Archives. Journal of Clinical Epidemiology 107 (Mar 2019): 128-129.

Zhou, X., Wang, L., Liao, H., Wang, S., Lev, Benjamin, and Fujita, H., A Prospect Theory-based group decision approach considering consensus for portfolio selection with hesitant fuzzy information. Knowledge Based Systems 168 (Mar 2019): 28-38.

Gefen, David, A Post-Positivist Answering Back. Part 1: Good for You Karl Popper!. ACM SIGMIS Database 50 (May 2019): 9-17.