Yisha Xiang, Ph.D. Assistant Professor Department of Industrial Engineering Lamar University
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Yisha Xiang, Ph.D. Assistant Professor Department of Industrial Engineering Lamar University EDUCATION Ph.D., Industrial Engineering - University of Arkansas, AR, 2009 M.S., Industrial Engineering - University of Arkansas, AR, 2006 B.S., Industrial Engineering - Nanjing University of Aeronautics & Astronautics, China, 2003 ACADEMIC EXPERIENCE Assistant Professor of Industrial Engineering, Lamar University 9/2015- present Associate Professor of Management Science, Sun Yat-sen University 7/2014- 8/2014 Assistant Professor of Management Science, Sun Yat-sen University 2/2010- 6/2014 Research Assistant of Industrial Engineering, University of Arkansas 8/2004 -5/2008 INDUSTRIAL EXPERIENCE Supply Chain Analyst Global Logistics Department, Halliburton Company, Houston, TX 6/2008 - 1/2010 PUBLICATIONS Refereed Journal Articles [1] Xiang, Y., Coit, D. W., and Feng, Q. (2014), Accelerated Burn-in and Condition-based Maintenance for n-subpopulations subject to Stochastic Degradation, IIE Transactions, 46(10), 1093-1106 [2] Xiang, Y., Cassady, C.R., Jin, T., Zhang, C.W. (2014) Joint production and maintenance planning with deterioration and random yield, International Journal of Production Research, 52 (6), 1644-1657 [3] Xiang, Y., Rossetti, M. D. (2014), The effect of backlog queue and load-building processing in a multi- echelon inventory network, Simulation Modeling and Theory Practice , 43, 54-66 [4] Xiang, Y. (2013), Joint Optimization of X Control Chart and Preventive Maintenance Policies: A Discrete-Time Markov Chain Approach, European Journal of Operational Research, 229(2), 382-390 [5] Xiang, Y., Coit, D. W., and Feng, Q. (2013), n-Subpopulations Experiencing Stochastic Degradation: Reliability Modeling, Burn-in and Preventive Replacement Optimization, IIE Transactions,45(4), 391- 408 (Top 3 most popular paper published in 2013, complimentary open-access awarded) [6] Xiang, Y., Cassady, C. R., and Pohl, E. A. (2012), Optimal maintenance policies for systems subject to a Markovian operating environment. Computers & Industrial Engineering, 62(1), 190-197 [7] Xiang, Y., Zhuang, J. Medical Resource allocation Serving Victims in Deteriorating Health Conditions in the Aftermath of a Disaster, Annals of Operations Research (In Print) [8] Chen N., Ye Z.S., Xiang Y., and Zhang L., Condition-Based Maintenance using the Inverse Gaussian Degradation Model, European Journal of Operational Research (In Print) [9] Xiang, Y., Coit, D. W., Feng, Q., and Zhu, Z., Condition-based Maintenance under Performance-based Contracting, under review at Productions and Operations Management Refereed Conference Proceedings Publications 1 [1] Wang P. and Xiang Y. (2014), Repairable System Reliability Analysis and Failure Prediction with Different Repair Effectiveness Values. In Proceedings of International Conference on Reliability, Maintainability and Safety. [2] Jin T., Xiang Y., and Cassady, C. R. (2013), Understanding Operational Availability in Performance- Based Logistics and Maintenance Services. In Proceedings of Annual Reliability and Maintainability Symposium, pp. 1-6. (Society of Reliability Engineering Oftshun Best Paper Award, R.A. Evans/P.K. McElroy Best Conference Paper Award) [3] Xiang, Y., Cassady, C. R. (2011), Lot Sizing and Maintenance Planning for a Deteriorating Machine with Stochastic Demand and State-Dependent Random Yields—A Single-period Problem,” in Proceedings of IIE Annual Conference and Exposition 2011 [4] Nanajala, N., Jin, T., Xiang, Y. (2011), Joint optimization for reliability and performance based service logistics-application to wind power industry, in Proceedings of IIE Annual Conference and Exposition 2011 [5] Xiang, Y., David, C., Feng, Q. (2011), Optimal Burn-in for n-Subpopulations with Stochastic Degradation, in Proceedings of International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering [6] Rossetti, M. D., Xiang, Y. (2010), Simulating Backlog and load Building Processes in a Two-Echelon Inventory System, in Proceedings of the 2010Winter Simulation Conference, pp. 1833 – 1845, (invited paper) [7] Xiang, Y., Mallart, L. M., Cassady, C. R. (2008), A Production System with Random Yield and Equipment Deterioration: Single Period, in Proceedings of IIE Annual Conference and Exposition 2008 [8] Xiang, Y., Cassady, C. R. (2007), Comparing Scheduled and Condition-Based Maintenance Policies for Single-Unit Systems Operated in Markovian Environments , in Proceedings of IIE Annual Conference and Exposition 2007 [9] Xiang, Y., Cassady, C. R. (2007), Time to Failure Behavior under a Stochastic Deterioration Model, in Proceedings of the 2007 Reliability and Maintainability Symposium, pp. 405-409. [10] Rossetti, M. D., Miman, M., Varghese, V., Xiang, Y. (2006), An Object-oriented Framework for Simulating Multi-echelon Inventory Systems, in Proceedings of the 2006 Winter Simulation Conference, pp. 1452-1461. PRESENTATIONS (Seminars and Conferences) [1] Xiang, Y., and Coit, D.W. (2014), Imperfect Condition-based Maintenance for a Gamma Degradation Process with Random Effects. INFORMS, Minneapolis, MN. [2] Xiang, Y. (2014), Reliability Modeling and Preventive Maintenance for Mixed Populations. Department of Industrial & System Engineering and Engineering Management, Huntsville, AL. [3] Xiang, Y. (2014), n-Subpopulations Experiencing Stochastic Degradation: Reliability Modeling, Burn-in and Preventive Replacement Optimization. Department of Information and Logistics Technology, University of Houston, Houston, TX. [4] Xiang, Y., Coit, D.W. and Feng, Q. (2013), Joint Accelerated Burn-in and Condition-based Maintenance for n-Subpopulations subject to Stochastic Degradation. INFORMS, Minneapolis, MN. [5] Xiang, Y., Jin, T. (2013), Joint Optimization of X Control Chart and Preventive Maintenance Policies. INFORMS, Minneapolis, MN. [6] Xiang, Y. (2013), Degradation Modeling of Mixed Populations. UH/Rutgers NSF Research Workshop on Degradation-based Reliability and Maintenance, Houston, TX. [7] Xiang, Y. (2013), Accelerated Burn-in for n-subpopulations with Stochastic Degradation. Annual Chinese Reliability Research Conference, Changsha, Hunan, China. [8] Xiang, Y. (2013), Joint Optimal Burn-in and Replacement Policy for Heterogeneous Populations. Department of Industrial Engineering, University of Houston, Houston, TX. [9] Xiang, Y. (2012), Condition-based Maintenance of Degrading Systems. Department of Mechanical and 2 Industrial Engineering, Northwestern Polytechnic University, Xi’an, Shanxi, China. [10] Xiang, Y., and Cassady, C. R. (2011), A Joint Optimal Burn-in and Replacement Policy for n- Subpopulations subject to Stochastic Degradation. INFORMS, Charlotte, NC. [11] Xiang, Y., and Cassady, C. R. (2011), Lot Sizing and Maintenance Planning for a Deteriorating Machine with Random Yields. Industrial Engineering Research Conference, Reno, NV. [12] Xiang, Y., Coit, D.W. and Feng, Q. (2011), Optimal burn-in for n-subpopulations with stochastic degradation. International Conference on Quality, Reliability, Risk, Maintenance & Safety Engineering (ICQR2MSE), Xi'an, China. [13] Xiang, Y., Mallart, L. M., Cassady, C. R. (2008), A Production System with Random Yield and Equipment Deterioration: Single Period, Industrial Engineering Research Conference, Vancouver, Canada. [14] Xiang, Y., Cassady, C. R. (2007), Comparing Scheduled and Condition-Based Maintenance Policies for Single-Unit Systems Operated in Markovian Environments, Industrial Engineering Research Conference, Nashville, TN. [15] Xiang, Y., Cassady, C. R. (2007), Time to Failure Behavior under a Stochastic Deterioration Model, Annual Reliability and Maintainability Symposium, Orlando, FL. [16] Cassady, C. R., Pohl, E. A, Xiang, Y., Schneider, K., Alasward, S., Johnson, R., Rew, R. (2005), Comprehensive Selective Maintenance Decision-Making in an Autonomous Environment, Center for Engineering Logistics and Distribution Research conference, Louisville, KY. [17] Cassady, C. R., Pohl, E. A, Xiang, Y., Schneider, K., Young, T., (2004), Multi-State Selective Maintenance Decisions, Center for Engineering Logistics and Distribution Research Conference, Oklahoma City, OK. RESEARCH GRANTS Yisha Xiang (co-PI), Fan Wang (PI), Haiqing Song (co-PI), Ke Fu (co-PI), Qian Wang (co-PI), Baozhuang Niu (co-PI) 2,600,000 RMB (425,000 USD) Port Management and Operations Modeling and Optimization Sponsor: the State Key Program of National Science Foundation of China (NSFC, most competitive government funding agency in China, funding rate 1.06%) Dates: 1/2015- 12/ 2019 Yisha Xiang (PI), Dongsheng Xu (co-PI), Xiaoli Huang (co-PI) 230,000 RMB (40,000 USD) Joint Burn-in and Preventive Replacement Optimization for Heterogeneous Populations Sponsor: National Science Foundation of China (NSFC, most competitive government funding agency in China, funding rate 17.02%) Dates: 1/2014- 12/ 2016 Yisha Xiang (PI) 20,000 RMB (3,300 USD) Analysis of Backlogging and Load-building Processes in a Multi-echelon Inventory System Sponsor: Chinese Ministry of Education Dates: 6/ 2013- 5/ 2015 Yisha Xiang (co-PI), Ning Shi (PI) 540,000 RMB (74,000 USD) An Adaptive Routing Strategy for Freight Transportation Networks Sponsor: National Science Foundation of China (NSFC) Dates: 1/ 2012- 12/ 2014 Yisha Xiang (PI), Dongsheng Xu (co-PI), Ning Shi (co-PI), Caiwen Zhang (co-PI) 72,000 RMB (12,000 USD) Medical Resource allocation in the Aftermath of a Disaster 3 Sponsor: Chinese Ministry of Education Dates: 1/ 2011- 12/ 2013 Yisha Xiang (PI), Caiwen Zhang (co-PI) 75,000 RMB (12,000 USD) Reliability Modeling