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Xueping Li
Researcher at University of Tennessee
Publications - 152
Citations - 2413
Xueping Li is an academic researcher from University of Tennessee. The author has contributed to research in topics: Computer science & Supply chain. The author has an hindex of 22, co-authored 133 publications receiving 1902 citations. Previous affiliations of Xueping Li include University Of Tennessee System & University of Tennessee Health Science Center.
Papers
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Covering Models and Optimization Techniques for Emergency Response Facility Location and Planning: A Review
TL;DR: Several typical covering models and their extensions ordered from simple to complex are introduced, including Location Set Covering Problem (LSCP), Maximal Covering Location Problem (MCLP), Double Standard Model (DSM), Maximum Expected Covering location problem (MEXCLP, and Maximum Availability Location problem (MALP) models.
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Supply chain resilience for single and multiple sourcing in the presence of disruption risks
TL;DR: One of the major findings is that buyer’s warning capability plays a vital role in enhancing supply chain resilience, and a scenario-based mathematical model is developed such that it considers objectives under uncertainties including disruption risks and operational risks.
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Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry
TL;DR: It was showed that the operations of the logistics system were significantly different for harvesting and non-harvesting seasons, and that under the well-designed biomass logistics system, the mass production with a steady and sufficient supply of biomass can increase the unit profit of bioenergy.
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Makespan minimization on single batch-processing machine via ant colony optimization
Rui Xu,Huaping Chen,Xueping Li +2 more
TL;DR: The results showed that the ACO algorithm combined with the candidate list was more robust and consistently outperformed genetic algorithm, CPLEX, and the other two heuristics, especially for large job instances.
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A multi-echelon inventory system with supplier selection and order allocation under stochastic demand
Cong Guo,Xueping Li +1 more
TL;DR: This paper investigates an integrated supplier selection and inventory control problems in supply chain management by developing a mathematical model for a multi-echelon system by decomposing the mixed integer nonlinear programming model into two sub-models.