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Pharmaceutical Scheduling Using Simulated Annealing And Steepest Descent Method, Bryant Jamison Spencer Jan 2019

Pharmaceutical Scheduling Using Simulated Annealing And Steepest Descent Method, Bryant Jamison Spencer

Graduate Theses, Dissertations, and Problem Reports

In the pharmaceutical manufacturing world, a deadline could be the difference between losing a multimillion-dollar contract or extending it. This, among many other reasons, is why good scheduling methods are vital. This problem report addresses Flexible Flowshop (FF) scheduling using Simulated Annealing (SA) in conjunction with the Steepest Descent heuristic (SD).

FF is a generalized version of the flowshop problem, where each product goes through S number of stages, where each stage has M number of machines. As opposed to a normal flowshop problem, all ‘jobs’ do not have to flow in the same sequence from stage to stage. The …


Chemometric Calibration Of Surface Enchanced Raman Spectra For Quantitative Analysis, Xiaofei Shi Jan 2019

Chemometric Calibration Of Surface Enchanced Raman Spectra For Quantitative Analysis, Xiaofei Shi

Graduate Theses, Dissertations, and Problem Reports

Raman spectroscopy, recognized as a powerful analytical technique, has been widely employed in many fields especially in the detection of hazard material containing in food or water. However, multiplexed analyte quantification based on Raman spectra remains a challenge due to the difficulties in accurate and precise modeling of the relationship between multiple analyte concentrations and dense spectral data with noise.

In this work, a statistical procedure was developed to efficiently generate high-quality calibration models quantifying the analyte concentrations versus spectra relationship. The resulting calibration models are able to provide estimated concentration ranges (which reflect both point and uncertainty estimates) for …