title: A LEAN approach toward automated analysis and data processing of polymers using proton NMR spectroscopy.
abstract: To maximize utilization of expensive laboratory instruments and to make most effective use of skilled human resources, the entire chain of data processing, calculation, and reporting that is needed to transform raw NMR data into meaningful results was automated. The LEAN process improvement tools were used to identify non-value-added steps in the existing process. These steps were eliminated using an in-house developed software package, which allowed us to meet the key requirement of improving quality and reliability compared with the existing process while freeing up valuable human resources and increasing productivity. Reliability and quality were improved by the consistent data treatment as performed by the software and the uniform administration of results. Automating a single NMR spectrophotometer led to a reduction in operator time of 35%, doubling of the annual sample throughput from 1400 to 2800, and reducing the turn around time from 6 days to less than 2.
authors: SABIC Innovative Plastics, Global Analytical Technology, Bergen op Zoom, The Netherlands. hans.debrouwer@sabic-ip.com
authors: Hans
authors: H
authors: de Brouwer
authors: Gerrit
authors: G
authors: Stegeman