In order to globally deploy an OEE (Overall Equipment Effectiveness) system to a manufacturing enterprise, it is important to follow a few key steps:
Before beginning any deployment, it is essential to define the scope of the project. This includes identifying all of the manufacturing sites that will be included in the deployment, as well as the specific machines and equipment that will be monitored. For each production line identify where the bottleneck is. For each machine/equipment identify where and what to measure.
Once the scope has been defined, it is important to develop a detailed deployment plan. This should include timelines, milestones, and responsibilities for each site involved in the deployment. It is important to ensure that all stakeholders are aware of the plan and are committed to its success.
Start with a pilot or test group of up to 10 lines. The operators and line managers should know they’re the first users, and be willing to provide feedback. Use this feedback to improve configuration, documentation, notifications, and make it easier for users in future rollout.
After initial testing, add more lines and machines to the pilot group. Be very active in communicating the initial success stories and share it across the organisation. This will help adoption in the global rollout phase.
Rollouts can be phased such as: Sites, Departments, Business Units. Using a staged approach, you can get feedback from a wide range of users.
| Rollout phase | July | August | September | October |
|---|---|---|---|---|
| Limit Pilot | 10 Lines (Site A) | |||
| Expanded Pilot | Site A Full rollout | Hypercare | ||
| Production rollout phase 1 | Site B | Hypercare | ||
| Production rollout phase 2 | Site C | Hypercare | ||
| Production rollout phase 3 | Site D |
While rolling out to new sites plan how to provide hypercare and ongoing support.
Smart and motivated operators/managers/technicians will be asking for deployment sooner rather than later. Allow those to fast track the rollout process. Eventually the good stories will spread internally and the ones using data will outperform those who do not. Set a target for when all scoped lines are enrolled.
In order to effectively monitor OEE across multiple sites, it is important to standardize data collection. This means using the same data collection methods and tools across all sites. This will ensure that data can be easily compared and analyzed across sites, allowing for more accurate insights into overall equipment effectiveness.
A key to success is to have a common mindset about the interpretation of the OEE categories. This definition helps to ensure that OEE is measured consistently and accurately across the enterprise, allowing for better visibility and analysis of overall manufacturing performance. Factbird recommends following: