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Lean engineering has Pirelli on pole
The consolidation of data workflows into a single, customized platform means process innovations are rolling out at lightning speed
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Challenge: With modern manufacturing processes generating an increasingly vast quantity of real-time data, engineers at Pirelli sought to both develop the organization’s data competencies and acquire a tool that would enable them to deploy a single set of statistical best practices across the enterprise. “We envisioned a way of performing analysis in a standardized software, generating reports in the same way [across the enterprise], and doing analyses in the best, most efficient manner,” explains Process Quality Engineer Sara Sorrentino.
Solution: Pirelli leadership greenlit a proposal to deploy JMP statistical discovery software as the enterprise standard for data management, access, analysis, and reporting. Automation and scripting features, as well as Python integration capabilities, have enabled advocates to develop sophisticated custom dashboards that have significantly consolidated the company’s analytics workflow. Outreach and in-house training have quickly brought domain experts on board.
Results: “Our workflow is now very, very lean,” says Manufacturing Quality Engineer Massimo Pampurini who, with Sorrentino, led efforts to develop analytics capacity. “We have a consistent system that allows us to pull data directly from the database, create tables, perform queries, clean and filter the data, and perform our analyses, all internal to the software.” Regarding the potential of this system to transfer real value to the company through data-driven improvements, Sorrentino adds, “It’s a very powerful company impact — the impact is huge.”
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Read the full story here: Pirelli | JMP
