Automation of downtime analysis and work orders improves operational efficiency

Category

Project

Area

Operations

Industry

Manufacturing

Company size

Large enterprise

Project duration

4 months

Challenge

The Operations department manually managed the analysis of machine downtimes and work order tracking, leading to time-consuming processes prone to errors and inefficiencies that hindered strategic decision-making.

Proposed solution

Dojo contributed to the implementation of an integrated solution, leveraging Data Engineering on Google Cloud Platform (GCP) and dynamic dashboards in Qlik Sense.

01

Automation of analyses

  • Machine downtimes: Development of data pipelines to collect and process information on the causes and duration of downtimes.

  • Work orders: Creation of data flows to monitor and analyze work orders in a structured manner.

02

Interactive dashboards in Qlik Sense

Automatically updated visualizations with a refresh rate adjusted to the department’s needs.

Results achieved

01

Complete automation

Eliminated manual work, allowing the team to focus on strategic analysis.

02

Operational agility

Optimized processes with real-time updates to meet Operations department demands.

03

Data-driven decision-making

Reliable indicators organized in dynamic dashboards.