Hi all,

 

See attached picture. 

 

For getting this, we need to do manual measurements in order to find scheduling, performance and process opportunity. We are looking into a way to make it more pragmatic and let the warehouse do measurements themselves. But then it needs to be very clear and straightforward. And when we have the data, we need to get the graph in attached example out of it. 

 

I was wondering if there are any tools available or any advice in general? I know my question is pretty wide, so maybe some further clarifications will be needed, but let's start with this.

 

thanks,

Thomas 

I'd suggest mapping the process activities first. Then analyzing value-added and non-value-added activities and time studies for these activities. Value stream mapping also comes to mind. 

Hi Thomas,
 

Thank you for reaching out and sharing the details of your requirements. From the attached picture, it looks like you aim to streamline the collection and analysis of data to identify improvement opportunities in different areas, specifically in unloading processes.
 

To make the data collection more pragmatic and user-friendly for warehouse operations, you might consider implementing a digital solution such as a mobile app or a web-based platform where the staff can input data directly. This approach can reduce manual errors and save time. Look for real-time data entry and visualization tools, such as Microsoft Power BI, Tableau, or custom solutions developed specifically for your operational needs.
 

These tools help in data collection and create dynamic dashboards similar to the one in your example. They can automatically update and visualize data as it is entered, making it easier to spot trends, inefficiencies, and opportunities for improvement.
 

Moreover, training your team on the importance of accurate data collection and how it ties back to operational efficiency can be beneficial. Providing clear guidelines and simple, step-by-step instructions for data entry will help ensure consistency and reliability in the data collected.

On 12/7/2023 at 9:09 PM, Thomas Knaeps said:

Hi all,

 

See attached picture. 

 

For getting this, we need to do manual measurements in order to find scheduling, performance and process opportunity. We are looking into a way to make it more pragmatic and let the warehouse do measurements themselves. But then it needs to be very clear and straightforward. And when we have the data, we need to get the graph in attached example out of it. 

 

I was wondering if there are any tools available or any advice in general? I know my question is pretty wide, so maybe some further clarifications will be needed, but let's start with this.

 

thanks,

Thomas 

 

Thanks for sharing the waterfall chart and the opportunities for improvement in the unloading process. I've noticed there might be a discrepancy in the percentages shown in the image. Here's the corrected interpretation based on standard Lean principles:
 

1. Paid Hours (5 hours): Represent the total working hours, correctly set as the 100% baseline.

2. Available Hours (5 hours): Also correctly represented as 100% of the time, indicating no loss to breaks or non-work activities.

3. Scheduling Opportunity (2 hours, 40% of available hours): Correctly identifies a significant opportunity to enhance scheduling efficiency. By addressing potential delays or downtime, we can aim to reduce these 2 out of 5 hours, which represents a 40% opportunity for increased productivity.

4. Performance Opportunity (1 hour, 20% of available hours): Indicates room for enhancing unloading methods or speed. A focused effort to improve performance could lead to a 20% reduction in unloading time.

5. Process Opportunity (1 hour, 20% of available hours): Suggests that improvements in the unloading process, unrelated to performance metrics, could lead to a 20% reduction in total time by optimizing elements like waiting times, material handling, or layout.

6. Value Added Time (1 hour, 20% of available hours): Points out that currently, only 20% of available time is used for value-adding activities. This highlights a significant potential for increasing the efficiency of the unloading process.

Aligning the percentages with the actual opportunities can provide a more precise roadmap for targeted improvements in the warehouse's unloading operations.