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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.
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En-Lean: a framework to align lean and green manufacturing in the metal cutting supply chain
TL;DR: In this paper, a methodology is proposed that allows one to articulate the complex relationship between Lean principles and their overall environmental impacts for specific processes, and a case study illustrates the application of the methodology to the metal cutting industry using single and/or multipoint cutting.
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An effective discrete differential evolution algorithm for scheduling uniform parallel batch processing machines with non-identical capacities and arbitrary job sizes
TL;DR: This paper studies the scheduling problem of uniform parallel batch processing machines with arbitrary job sizes and proposes an effective differential evolution-based hybrid algorithm for solving large-scale problems.
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A comparative analysis of management accounting systems’ impact on lean implementation
TL;DR: The results demonstrate that VSC appears to provide a bridge between operational views and financial views of lean, which enhances the transfer of information from shop level to management level.
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Scheduling elective surgeries with sequence-dependent setup times to multiple operating rooms using constraint programming
Zhaoxia Zhao,Xueping Li +1 more
TL;DR: A Mixed Integer Nonlinear Programming (MINLP) model and a Constraint Programming (CP) model are built to solve the problem of scheduling elective surgeries to multiple operating rooms in ambulatory surgical settings and the results show that the CP model is more efficient than the MINLP model in terms of the computational time and solution quality.
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Job scheduling methods for reducing waiting time variance
TL;DR: A consistent pattern in the plot of WTV over mean of all possible sequences for a set of jobs is discovered, which can be used to evaluate the sacrifice of mean waiting time while pursuing WTV minimization.