Statistical Process Control (SPC) i a metod used in producturing to monomor and control processes. In automotive producturing, SPC helps identify proces drifts that can affect quality. Tiss case study explores how SPC was implemented to detect and correct process deviations efficively.

A gyártó által kiadott, a gyártó által kiadott megfelelőségi nyilatkozat

A gyártó plant integrated SPC chart s into their quality control system. Data from production lines was collected continuully, focing og on key quality metrics such a dimensions and materiadel concerties. The goal was tos to detect any variations that could d indicate process drift.

Nyomozók Process Drifts

Using- control chart, operators monitored process stability. When data points fell outside control limits or showed non-random patterns, it signaled a potential process drift. Early detection allowede for promt inspecation and interventionon.

Javítás Actions és Outcoos

A Drift was detected, root causis was performed. Igazítás to machinery settings or raw material inputs were made to realign the proces. Tiss proactive approacte approach reduced d defect rates and improvedd overall product consicence.

  • Folytatás adata gyűjtemény
  • Real- time monitoring
  • Azonnali korrekciósművelet
  • Csökkentett zsírtartalmú zsírok
  • Improvizációs folyamatok stabilsága