Introduction
The Berkshire Grey BG Flex robotic picking system has experienced a 15% decrease in units processed per hour over the past month. This significant drop in productivity warrants a thorough investigation to identify and address the root cause. I'll approach this issue systematically, examining both internal and external factors that could be impacting the system's performance.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Software updates can introduce bugs or performance issues. Expected answer: Yes, a minor update was deployed three weeks ago. Impact on approach: If confirmed, we'd prioritize investigating the update's impact.
Why it matters: Inadequate maintenance could lead to decreased performance. Expected answer: No changes to the maintenance schedule. Impact on approach: If unchanged, we'd focus more on other potential causes.
Why it matters: Changes in item mix could affect processing speed. Expected answer: Some new product lines were introduced recently. Impact on approach: If confirmed, we'd analyze the impact of these new items on processing speed.
Why it matters: New or undertrained staff could impact system efficiency. Expected answer: There's been some recent staff turnover. Impact on approach: If confirmed, we'd investigate the impact of staff changes on system performance.
Why it matters: Sudden changes in demand could strain the system. Expected answer: Order volume has been relatively stable. Impact on approach: If stable, we'd focus more on internal factors affecting performance.
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