Maleyeff J.<\/span>,\u00a0<\/span><\/span>Dande K.<\/span>,\u00a0<\/span><\/span>Srivichaiin K.<\/span>, and <\/span><\/span>Weidman D. (2026;), “Decision support for sustainable building modifications to mitigate climate risk”. <\/span>Construction Innovation: Information Process Management<\/em>, [ahead-of-print] <\/span>https:\/\/doi.org\/10.1108\/CI-12-2025-0560<\/a><\/p>\n Maleyeff, J., Wootisarn, R., and Xu, J. (2026), \u201cSimheuristics with Metamodel Initiation for Repair System Inventory Policy Determination<\/a>,\u201d Computers and Industrial Engineering, 213<\/em>, 111811, https:\/\/doi.org\/10.1016\/j.cie.2026.111811<\/p>\n Maleyeff, J., and Xu, J. (2024), “Repair part service level differentiation based on holding other parts shortage costs<\/a>,” Journal of Quality in Maintenance Engineering, 30<\/em>(2), 367-390. https:\/\/10.1108\/JQME-07-2023-0061<\/p>\n Maleyeff, J., and Corlu, G.C. (2024), \u201cPractice Summary: Henkel Uses Analytics to Improve Call Center Performance<\/a>,\u201d INFORMS Journal on Applied Analytics<\/em>, https:\/\/doi.org\/10.1287\/inte.2021.0106<\/p>\n 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<\/a>,” Transportation Research Record<\/em>, https:\/\/doi.org\/10.1177\/03611981231205882.<\/p>\n Maleyeff, J., and Chen, D. (2021), \u201cA Decision-Support Tool for Assessing Patient-Centered Decision-Making under Uncertainty<\/a>,\u201d International Public Health Journal<\/i>, 13(2), 203-211.<\/p>\n Maleyeff, J., and Chen, D. (2020), \u201cConsumer Health Informatics Approach for Personalized Cancer Screening Decisions using Utility Functions<\/a>,\u201d Health Informatics Journal<\/i>, 26(4), 2877-2891.<\/p>\n Maleyeff, J.,Peng, S., Wang, B., and Weidman, D. (2025), “Applying a Common Economic Scale to Multi-Criteria Supplier Selection,<\/a>” Proceedings of the 56th<\/sup> Decision Sciences Institute Conference, <\/em>Orlando, FL November 2025, 189-208.<\/p>\n Maleyeff, J.,Xie, F., and Zhao, Y. (2025), “Visualizing Risks for Comparative Treatment Decisions<\/a>,” Proceedings of the 56th<\/sup> Decision Sciences Institute Conference, <\/em>Orlando, FL November 2025, 1503-1517.<\/p>\n Maleyeff, J.,Feng, C., Morales, R., and Hengl, D. (2025), “Transforming a Chemical Supply System Consistent with My Green Lab Certification<\/a>,” Proceedings of the 56th<\/sup> Decision Sciences Institute Conference, <\/em>Orlando, FL November 2025, 1398-1410.<\/p>\n Maleyeff, J., Wootisarn, R., Zhang, L., and Wang, X., \u201cMetamodel Initialization of a Search Algorithm for Repair Kit Applications<\/a>,\u201d Proceedings of the 55th<\/sup> Decision Sciences Institute Conference, <\/em>Phoenix, AZ, November 2024, 892-904.<\/p>\n Maleyeff, J., Srivichaiin, K., Gao, Y., Dande, K., and Weidman, D., \u201cSupporting Climate Risk Mitigation Decision Making For University Facilities<\/a>,” Proceedings of the 55th<\/sup> Decision Sciences Institute Conference, <\/em>Phoenix, AZ, November 2024, 1154-1169.<\/p>\n Maleyeff, J., Wootisarn, R., Zhang, L., and Wang, X., \u201cRepair Kit Inventory Policy Creation with Empirical Stochastic Branch-and-Bound<\/a>,\u201d Proceedings of the 53nd<\/sup> Northeast Decision Sciences Institute Conference, <\/em>Cambridge, MA, April 2024, 317-328.<\/p>\n Maleyeff, J., Zheng, H., Yao, Y., Liu, Z., and Weidman, D., \u201cDecision Support Approach for Ranking Response Options in Reaction to Climate Change<\/a>,\u201d Proceedings of the 53nd<\/sup> Northeast Decision Sciences Institute Conference, <\/em>Cambridge, MA, April 2024, 339-347.<\/p>\n Maleyeff, J., Hwang, J., Xu, T., and Yu, X., \u201cUsing Analytics to Support Customized Training for Time-Dependent Patient Prioritization<\/a>,\u201d Proceedings of the 53nd<\/sup> Northeast Decision Sciences Institute Conference, <\/em>Cambridge, MA, April 2024, 195-204.<\/p>\n Maleyeff, J., Xu, T., Liu, T., and Wang, J. (2023), \u201cValidation for Risk Severity Planning System with Multicollinear and Autoregressive Inputs<\/a>,\u201d Proceedings of the 54th Annual Conference of the Decision Sciences Institute, <\/em>Atlanta, Georgia, 1355-1368.<\/p>\n Maleyeff, J., Tan, Y., Liu, J., Kristina, M., and Weidman, D. (2023), \u201cClimate Change Risk Assessment for a University Campus<\/a>,\u201d Proceedings of the 54th Annual Conference of the Decision Sciences Institute<\/em>, Atlanta, Georgia, 287-300.<\/p>\n Maleyeff, J., Wootisarn, R., Fang, J., and Asokan, Y. (2023), \u201cA Simheuristic Approach for Repair Kit Inventory Policy Creation<\/a>,\u201d Proceedings of the 54th Annual Conference of the Decision Sciences Institute<\/em>, Atlanta, Georgia, 52-65.<\/p>\n Maleyeff, J., Niu, X., Tan, Y., Zhao, M., and Weidman, D. (2023), \u201cAnalysis of the Impact of Climate Change on Hospital Services in Boston<\/a>,\u201d Proceedings of the 52nd<\/sup> Northeast Decision Sciences Institute Conference, <\/em>Washington, DC, 756-765.<\/p>\n Liu, J., Maleyeff, J., and Perez, A. (2023), “Visualizing DOE Results with Classification Trees: A Supply Chain Application<\/a>,” Proceedings of the 52nd Northeast Decision Sciences Institute Conference, Washington, DC, 442-456.<\/p>\n Maleyeff, J., Fang, J., and Jiang, J. (2023), “Simulation Analysis of Repair Kits with Customized Part Service Levels<\/a>,” Proceedings of the 52nd Northeast Decision Sciences Institute Conference, Washington, DC, 1001-1012.<\/p>\n Maleyeff, J., Xu. J., Kaffaty, V., and Yang Y. (2022), “Optimal Service Level for Repair Part Inventory Considering the Cost of Holding Other Parts<\/a>,” Proceedings of the 53rd Annual Conference of the Decision Sciences Institute, Houston, TX, 722-734.<\/span><\/p>\n Corlu, C.G., Rosman, C., Perez Pena, A.J., and Harris, B (2022), “Maximizing Demand Fulfillment Probability under Pareto-Distributed Demand<\/a>,” Proceedings of the 53rd Annual Conference of the Decision Sciences Institute, Houston, TX, 608-619.<\/span><\/p>\n Maleyeff, J., Song, Y., Ding, X., and Kuo, C. (2022), “Public Transit Decision Support for Winter Storm Planning<\/a>,” Proceedings of the 53rd Annual Conference of the Decision Sciences Institute, Houston, TX, 821-836.<\/span><\/p>\n Maleyeff, J., Song, Y., Peng, R., and Ding, X. (2022), “Severity Prediction Models to Support MBTA Winter Storm Planning<\/a>,” Proceedings of the 51st Northeast Decision Sciences Institute Conference, Newark, NJ, 181-189.<\/p>\n Weidman, D., Corlu, C., Klanwari, P., and Pan, J. (2022), “Climate Change Impacts on Boston Hospitals<\/a>,” Proceedings of the 51st Northeast Decision Sciences Institute Conference, Newark, NJ, 265-274.<\/p>\n Weidman, D., Maleyeff, J., Tan, Y., Ma, Y., Zang, Y., and Yin, Z. (2021),\u201cPost-Pandemic Business Continuity Planning for Biotechnology & Pharmaceutical Startups: Analysis & Recommendations,<\/a>\u201d Proceedings of the 52nd Annual Conference of the Decision Sciences Institute, 192-208.<\/p>\n Maleyeff, J., Liang, Y., Cadreact, D., Zhang, M., and Malaspina, A. (2021), \u201cQueue Modeling for Decision Support at a Henkel Call Center,<\/a>” Proceedings of the 52nd Annual Conference of the Decision Sciences Institute, 419-433.<\/p>\n Lu, D., Maleyeff, J., and Corlu, C.G. (2021), “Knee Optimization for Queuing Systems: A Customized Approach,<\/a>” Proceedings of the 52nd Annual Conference of the Decision Sciences Institute, 89-100.<\/p>\n Corlu, C.G., Maleyeff, J., Wang, J., Yip, K., and Farris, J. (2020), \u201cReal-Time Nurse Dispatching Using Dynamic Priority Decision Framework<\/a>,\u201d Proceedings of the INFORMS Winter Simulation Conference, 782-793.<\/p>\n Corlu, C.G., Maleyeff, J., and Lu, D. (2020), “Using Lean to Improve the Customer Experience in Call Centers: A Meta-Analysis Approach<\/a>,” Proceedings of the 51st Annual Conference of the Decision Sciences Institute, 256-272.<\/p>\n Corlu, C.G., Maleyeff, J., Yang, C., Ma, T., and Shen, Y. (2021) \u201cDecision Support System with Simulation-Based Optimization for Healthcare Capacity Planning<\/a>,\u201d Proceedings of the 10th Simulation Workshop of the Operational Research Society, Loughborough, Leicestershire, UK.<\/p>\n Maleyeff, J., Liao, X., Skandalakis, I., Yakushin, A., and Zhang, X., “Adapting Chemical Laboratory Operations for Improved Sustainability<\/span>,” Presented at the 55th Northeast Decision Sciences Institute Conference, Philadelphia, April 2026.<\/p>\n Maleyeff, J., Srinivasan, P, Li, J., and Weidman, D., “A Methodology To Select An Ancillary Services Supplier For Healthcare Organizations<\/span>,” Presented at the 55th Northeast Decision Sciences Institute Conference, Philadelphia, April 2026.<\/p>\n Maleyeff, J., Xie, F., and Zhao, Y. (2025), “Real-Time Digital Twin Approach for Personalized Medical Decision Making,” presented at the INFORMS conference, October 2025, Atlanta, Georgia.<\/p>\n Maleyeff, J., Feng, C., Morales, R., and Hengl, D., \u201cIntegrating Sustainability and Inventory Practices for University Chemical Materials,\u201d presented at the Production and Operations Management Society (POMS) conference, May 2025, Atlanta, Georgia.<\/p>\n Maleyeff, J., Xie, F., and Zhao, Y., \u201cA Visual-Based Consumer Health Informatics Decision Support Methodology for Informed Patient Treatment Decisions,” presented at the Production and Inventory Management Society (POMS) conference, May 2025, Atlanta, Georgia.<\/p>\n Maleyeff, J., Peng, S., Wang, P. , and Weidman, D., \u201cMulti-Criteria Supplier Selection Using a Unified Economic Scale,\u201d presented at the Production and Inventory Management Society (POMS) conference, May 2025, Atlanta, Georgia.<\/p>\n Maleyeff, J., Chang, P., Peng, S., and Ma, S., “A Methodology for Incorporating Resilience into Supplier Evaluation,” presented at the <\/em>55th<\/sup> Decision Sciences Institute Conference, November 2024, Phoenix, Arizona.<\/p>\n 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.<\/p>\n 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.<\/p>\n Maleyeff, J., Wootisarn, R.,Zhang, L., and Wang, X., “Repair Kit Simheuristic Inventory Modeling,” presented at the Annual INFORMS Conference, October 2023, Phoenix, Arizona.<\/p>\n 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.<\/p>\n 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.<\/p>\n 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.<\/p>\n Song, Ding., “MBTA Winter Storm Planning Decision Support,” presented at the INFORMS Annual Meeting, October 26, 2021.<\/p>\n Maleyeff, J. and Chen, D., \u201cCancer Screening Decision Making Based on Health Status Utilities,\u201d International Conference on Healthcare Service Management, University of Tsukuba, Japan, June 8-10, 2018.<\/p>\n 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.<\/p>\n 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.<\/p>\n 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.<\/p>\n Skandalakis, I. and Yakushin, A., “Improving Sustainable Equipment and Green Chemistry Practices for University Labs,” Northeast Decision Sciences Institute Conference, Philadelphia, April 2026.<\/span><\/p>\n Jose, I., Mayori, D., and Li, Y., “The Status of Post-Covid ERM and BCP at Biopharma Firms,”\u00a0<\/span>Northeast Decision Sciences Institute Conference, Philadelphia, April 2026.<\/p>\n Xie, F., and Zhao, Y. (2025), “Decision Support Using a Bayesian Digital Twin for Personalized Medical Decision Making,” INFORMS Annual Meeting, Atlanta, Georgia, October 2025 (Finalist in poster competition).<\/p>\n Feng, C., Liao, X., and Zhang, X. (2025), “A Roadmap to Sustainability for University Chemical Labs,” INFORMS Annual Meeting, Atlanta, Georgia, October 2025 (Finalist in poster competition).<\/p>\n Srivichaiin, K., Gao, Y., and Dande, K., “DSS for Climate Mitigation Using Indifference Probabilities to Measure Impact Utilities,” INFORMS Annual Meeting, Seattle, Washington, October 2024 (Finalist in poster competition).<\/p>\n Zhang, L., Wootisarn, R., and Wang, X., “Metamodel Initialization of a Search Algorithm for Repair Kit Application,” INFORMS Annual Meeting, Seattle, Washington, October 2024 (Poster presentation).<\/p>\n Peng, S., Wang, B., and Chang, P., “BCFR: Incorporating “Resilience” into “Better, Cheaper, Faster” for Supply Chain Planning,” INFORMS Annual Meeting, Seattle, Washington, October 2024 (Poster presentation).<\/p>\n 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).<\/p>\n 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).<\/p>\n 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).<\/p>\n 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).<\/p>\n 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.<\/p>\n Fang, J. “Simulation of MBTA Repair Inventory Policies using Python,” 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.<\/p>\n Liu, J. “Integrating Efficient DOE and Intuitive Classification Trees,” 52nd Northeast Decision Sciences Institute Conference, Washington, DC, March 2023.<\/p>\n Ding, X., “Analytical Assessment of Snow Risk for Massachusetts Bay Transportation Authority,” INFORMS Annual Meeting, Indianapolis, Indiana, October 2022 (Poster presentation).<\/p>\n Xu, J., “A Forensic Investigation of MBTA Repair Inventory Demand,” INFORMS Annual Meeting, Indianapolis, Indiana, October 2022 (Poster presentation).<\/p>\n 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.<\/p>\n 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).<\/p>\n Corlu, C.G., Maleyeff, J., Yang, C., Ma, T., and Shen, Y., Decision Support System for Healthcare Capacity Planning<\/a>, Poster selected for presentation at the Boston University Metropolitan College Ribbon Cutting Ceremony, September 26, 2019, Boston, MA.<\/p>\nConference Proceedings<\/h3>\n
Presentations<\/h3>\n
Posters<\/h3>\n