The client is a global leader in blood-processing technology, building medical devices, systems, and single-use consumables for blood donation, processing, and surgical settings. It wanted to increase production with its current resources, drive continuous improvement, and streamline its quality systems, all without adding capacity. Leadership also wanted to open communication between departmental silos so managers would work together on cross-functional problems instead of solving in isolation.
Underneath those goals sat a measurement problem. The company accounted for costs and set performance standards using historical financial data rather than the actual operational capability of its equipment, people, and lines. Because the bar was set by an old financial number rather than true capacity, management could hit its adjusted goals with little effort, and the operation saw only incremental improvement while real slack stayed hidden. Supervisors were not actively managing people or proactively monitoring daily operations, so off-schedule conditions were not caught and corrected quickly. Equipment builders received little direction on what to build and when, which made it hard to keep production cells stocked.
The work itself was unevenly distributed. Two high-volume production lines used too many people, creating excessive subassembly buildup, while other lines that depended on the same parts went short, and on another line operators waited to build subassemblies until key components arrived. In quality, inspectors spent inordinate time double-entering inspection data, by hand and then into an Oracle database where it went unused, and the nonconforming-material reporting process was full of duplicate effort and cumbersome manager signoffs. Leadership did not need a one-time push; it needed a system that measured true capacity, managed to it every day, and connected departments that had been working apart.