Articles, Presentations, and Posters


Journal Articles

Maleyeff, J., and Xu, J. (2024), “Repair part service level differentiation based on holding other parts shortage costs,” Journal of Quality in Maintenance Engineering. DOI: 10.1108/JQME-07-2023-0061

Maleyeff, J., and Corlu, G.C. (2024), “Practice Summary: Henkel Uses Analytics to Improve Call Center Performance,” INFORMS Journal on Applied Analytics, https://doi.org/10.1287/inte.2021.0106

Ding, X., Maleyeff, J., and Valk, F. (2023), “Bus Operation Safety Business Intelligence Solution: Applying Analytics for KPI, Investigation, and Targeted Actions Analyses with a Centralized Data Warehouse,” Transportation Research Record, https://doi.org/10.1177/03611981231205882.

Maleyeff, J., and Chen, D. (2020), “Consumer Health Informatics Approach for Personalized Cancer Screening Decisions using Utility Functions,” Health Informatics Journal, 26(4), 2877-2891.

Maleyeff, J., and Chen, D. (2021), “A Decision-Support Tool for Assessing Patient-Centered Decision-Making under Uncertainty,” International Public Health Journal, 13(2), 203-211.

 

Conference Proceedings

Maleyeff, J., Wootisarn, R., Zhang, L., and Wang, X., “Repair Kit Inventory Policy Creation with Empirical Stochastic Branch-and-Bound,” Proceedings of the 53nd Northeast Decision Sciences Institute Conference, Cambridge, MA, April 2024.

Maleyeff, J., Zheng, H., Yao, Y., Liu, Z., and Weidman, D., “Decision Support Approach for Ranking Response Options in Reaction to Climate Change,” Proceedings of the 53nd Northeast Decision Sciences Institute Conference, Cambridge, MA, April 2024.

Maleyeff, J., Hwang, J., Xu, T., and Yu, X., “Using Analytics to Support Customized Training for Time-Dependent Patient Prioritization,” Proceedings of the 53nd Northeast Decision Sciences Institute Conference, Cambridge, MA, April 2024.

Maleyeff, J., Xu, T., Liu, T., and Wang, J. (2023), “Validation for Risk Severity Planning System with Multicollinear and Autoregressive Inputs,” Proceedings of the 54th Annual Conference of the Decision Sciences Institute, Atlanta, Georgia, 1355-1368.

Maleyeff, J., Tan, Y., Liu, J., Kristina, M., and Weidman, D. (2023), “Climate Change Risk Assessment for a University Campus,” Proceedings of the 54th Annual Conference of the Decision Sciences Institute, Atlanta, Georgia, 287-300.

Maleyeff, J., Wootisarn, R., Fang, J., and Asokan, Y. (2023), “A Simheuristic Approach for Repair Kit Inventory Policy Creation,” Proceedings of the 54th Annual Conference of the Decision Sciences Institute, Atlanta, Georgia, 52-45.

Maleyeff, J., Niu, X., Tan, Y., Zhao, M., and Weidman, D. (2023), “Analysis of the Impact of Climate Change on Hospital Services in Boston,” Proceedings of the 52nd Northeast Decision Sciences Institute Conference, Washington, DC.

Liu, J., Maleyeff, J., and Perez, A. “Visualizing DOE Results with Classification Trees: A Supply Chain Application,” Proceedings of the 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.

Maleyeff, J., Fang, J., and Jiang, J. “Simulation Analysis of Repair Kits with Customized Part Service Levels,” Proceedings of the 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.

Maleyeff, J., Niu, X., Tan, Y., Zhao, A., and Weidman, D. “Analysis of the Impact of Climate Change on Hospital Services in Boston,” Proceedings of the 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.

Maleyeff, J., Xu. J., Kaffaty, V., and Yang Y., “Optimal Service Level for Repair Part Inventory Considering the Cost of Holding Other Parts,” Proceedings of the 53rd Annual Conference of the Decision Sciences Institute, November 2022, pp. 722-734.

Corlu, C.G., Rosman, C., Perez Pena, A.J., and Harris, B. “Maximizing Demand Fulfillment Probability under Pareto-Distributed Demand,” Proceedings of the 53rd Annual Conference of the Decision Sciences Institute, November 2022, pp. 608-619.

Maleyeff, J., Song, Y., Ding, X., and Kuo, C., “Public Transit Decision Support for Winter Storm Planning,” Proceedings of the 53rd Annual Conference of the Decision Sciences Institute, November 2022, pp. 821-836.

Maleyeff, J., Song, Y., Peng, R., and Ding, X. “Severity Prediction Models to Support MBTA Winter Storm Planning,” Proceedings of the 51st Northeast Decision Sciences Institute Conference, Newark, NJ, April 2022.

Weidman, D., Corlu, C., Klanwari, P., and Pan, J. “Climate Change Impacts on Boston Hospitals,” Proceedings of the 51st Northeast Decision Sciences Institute Conference, Newark, NJ, April 2022.

Weidman, D., Maleyeff, J., Tan, Y., Ma, Y., Zang, Y., and Yin, Z. “Post-Pandemic Business Continuity Planning for Biotechnology & Pharmaceutical Startups: Analysis & Recommendations,” Proceedings of the 52nd Annual Conference of the Decision Sciences Institute, November 2021 (pp. 192-208).

Maleyeff, J., Liang, Y., Cadreact, D., Zhang, M., and Malaspina, A., “Queue Modeling for Decision Support at a Henkel Call Center,” Proceedings of the 52nd Annual Conference of the Decision Sciences Institute, November 2021 (pp. 419-433).

Lu, D., Maleyeff, J., and Corlu, C.G.,. “Knee Optimization for Queuing Systems: A Customized Approach,” Proceedings of the 52nd Annual Conference of the Decision Sciences Institute, November 2021 (pp. 89-100).

Corlu, C.G., Maleyeff, J., Wang, J., Yip, K., and Farris, J. “Real-Time Nurse Dispatching Using Dynamic Priority Decision Framework,” presented at the INFORMS Winter Simulation Conference (and appear in the Proceedings), December 2020 (pp. 782-793).

Corlu, C.G., Maleyeff, J., and Lu, D., “Using Lean to Improve the Customer Experience in Call Centers: A Meta-Analysis Approach,” Proceedings of the 51st Annual Conference of the Decision Sciences Institute, November 2020 (pp. 256-272).

Corlu, C.G., Maleyeff, J., Yang, C., Ma, T., and Shen, Y., “Decision Support System with Simulation-Based Optimization for Healthcare Capacity Planning,” Proceedings of the 10th Simulation Workshop of the Operational Research Society, 22-24 March 2021, Loughborough, Leicestershire, UK.

Presentations

Xu, J. and Maleyeff, J. “Setting Customized Service Level Targets for Parts in a Repair Kit,” presented at the Annual INFORMS Conference, October 2023, Phoenix, Arizona.

Ding, X. and Maleyeff, J. “Analytically Focused Business Intelligence Solution for Bus Operation Safety Improvement,” presented at the Annual INFORMS Conference, October 2023, Phoenix, Arizona.

Maleyeff, J., Wootisarn, R.,Zhang, L., and Wang, X., “Repair Kit Simheuristic Inventory Modeling,” presented at the Annual INFORMS Conference, October 2023, Phoenix, Arizona.

Ding, X., Maleyeff, J., and Valk, F. “Business Intelligence Platform Development for Monitoring Bus Operation Risk Indicators,” Presented at the 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.

Song, Y., Ding, X., Kuo, C., and Maleyeff, J., “Severity Modeling to Support Public Transit System Storm Planning,” presented at the INFORMS Conference on Service Science, July 2022.

Perez, A., C. Rosman, C. G. Corlu, and B. Harris, “Inventory Management under Heavy-Tailed Demand,” presented at the Production and Operations Management Society Annual Conference, April 2022.

Song, Ding., “MBTA Winter Storm Planning Decision Support,” presented at the INFORMS Annual Meeting, October 26, 2021.

Maleyeff, J. and Chen, D., “Cancer Screening Decision Making Based on Health Status Utilities,” International Conference on Healthcare Service Management, University of Tsukuba, Japan, June 8-10, 2018.

Lu, D., Corlu, C., and Maleyeff, J. (2021), “Comparison of Visual and Mathematical Approaches for Capacity Planning: Evidence from Surveys.” Presented at the Production and Operations Management Society Annual Conference.

Weidman, D., Zang, Y., Maleyeff, J., Corlu, C., and Song, Y., (2021). “The Impact of COVID-19 on the Working Environment of Professional Employees: Implications for Educators.” Presented at the Northeast Decision Sciences Institute Annual Conference.

Maleyeff, J., Cadreact, D., Liang, Y., and Zhang, M., (2021). “Decision Support at a Corporate Call Center.” Presented at the Northeast Decision Sciences Institute Annual Conference.

 

Posters

Xu, T., Wang, J., and Liu, T., “Clustering Autoregressive Weather Parameters for Validating A Winter Storm Planning System,” INFORMS Annual Meeting, Phoenix, Arizona, October 2023 (Poster presentation).

Wootisarn, R., Zhang, L., and Wang, X. “An Iterative Approach To Optimizing Repair Part Inventory Policies Using Simheuristics,”INFORMS Annual Meeting, Phoenix, Arizona, October 2023 (Poster presentation).

Hwang, J., Xu, T., and Yu, X., “Capacity Planning For Services With Customers Having Time-dependent Priorities,” INFORMS Annual Meeting, Phoenix, Arizona, October 2023 (Poster presentation).

Zheng, H., Wu, J., Liu, Z., and Yao, Y., “Supply Chain Risk Response Analysis Using Utility Functions,” INFORMS Annual Meeting, Phoenix, Arizona, October 2023 (Poster presentation).

Tan, Y. “Predictive Modeling to Forecast Climate Change Impacts on Hospital Supply Chains in Boston,” 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023. Third Place – Graduate Poster Award.

Fang, J. “Simulation of MBTA Repair Inventory Policies using Python,” 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.

Liu, J. “Integrating Efficient DOE and Intuitive Classification Trees,” 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.

Ding, X., “Analytical Assessment of Snow Risk for Massachusetts Bay Transportation Authority,” INFORMS Annual Meeting, Indianapolis, Indiana, October 2022 (Poster presentation).

Xu, J., “A Forensic Investigation of MBTA Repair Inventory Demand,” INFORMS Annual Meeting, Indianapolis, Indiana, October 2022 (Poster presentation).

Song, Y., “MBTA Winter Storm Planning: Slick Road Prediction Model,” 51st Northeast Decision Sciences Institute Conference, Newark, NJ, April 2022 (Poster presentation). Winner of the Best graduate poster Award.

Maleyeff, J., Corlu, C.G., and Wang, X. Simulation Metamodeling Approach to Support Hospital Capacity Planning, INFORMS Winter Simulation Conference, December 16, 2020, Virtual (Poster Presentation).

Corlu, C.G., Maleyeff, J., Yang, C., Ma, T., and Shen, Y., Decision Support System for Healthcare Capacity Planning, Poster selected for presentation at the Boston University Metropolitan College Ribbon Cutting Ceremony, September 26, 2019, Boston, MA.

Maleyeff, J. and Chen D., “Stochastic Modeling of Medical Testing Decisions using Patient-Specific Utility Functions,” Information Technology & Communications in Health, University of Victoria, BC, Canada, February 14-16, 2019 (Poster Presentation).

 

Reports

Vitale, P., Application of Monte Carlo Simulation to Evaluate Project Duration Forecasting Methods, Master’s Thesis, Polytechnic University of Turin, Department of Engineering & Management, 2017 (BU Advisor: J. Maleyeff).

van Thiel, J., Forecasting Procurement Life in Obsolescence using Machine Learning Algorithms, Research Intern, Eindhoven University of Technology, Manufacturing Systems Engineering Department, 2020 (BU Advisor: C. Corlu).

 

Books

Maleyeff, J., Quality Service Management: A Guide to Improving Business Processes, Routledge (Taylor & Francis Group), New York, 2022, ISBN: 978-1-032-05754-5 (hardback), ISBN: 978-1-032-05751-4 (paperback), ISBN: 978-1-003-19901-4 (e-book).

Maleyeff, J., Service Science: Analysis and Improvement of Business Processes, Routledge (Taylor & Francis Group), New York, 2020, ISBN: 978-0-367-33605-9 (hardback), ISBN: 978-0-367-33603-5 (paperback), ISBN: 978-0-429-32075-0 (e-book).