title: Innovation leading the way: application of lean manufacturing to sample management.
abstract: Historically, sample management successfully focused on providing compound quality and tracking distribution within a diverse geographic. However, if a competitive advantage is to be delivered in a changing environment of outsourcing, efficiency and customer service must now improve or face reconstruction. The authors have used discrete event simulation to model the compound process from chemistry to assay and applied lean manufacturing techniques to analyze and improve these processes. In doing so, they identified a value-adding process time of just 11 min within a procedure that took days. Modeling also allowed the analysis of equipment and human resources necessary to complete the expected demand in an acceptable cycle time. Layout and location of sample management and screening departments are key in allowing process integration, creating rapid flow of work, and delivering these efficiencies. Following this analysis and minor process changes, the authors have demonstrated for 2 programs that solid compounds can be converted to assay-ready plates in less than 4 h. In addition, it is now possible to deliver assay data from these compounds within the same working day, allowing chemistry teams more flexibility and more time to execute the next chemistry round. Additional application of lean manufacturing principles has the potential to further decrease cycle times while using fewer resources.
authors.affiliation: Screening and Compound Profiling, GlaxoSmithKline, Harlow, UK. mja@leansigmalab.com
authors.forename: M
authors.initials: M
authors.lastname: Allen
authors.forename: M J
authors.initials: MJ
authors.lastname: Wigglesworth
mesh_terms: D055808:Drug Discovery / Q000191:economics / Q000379:methods; D004345:Drug Industry / Q000191:economics / Q000379:methods / Q000458:organization & administration; D004465:Economic Competition / Q000458:organization & administration; D017598:Efficiency, Organizational; D006801:Humans; D010934:Planning Techniques; D011786:Quality Control; D013997:Time Factors