Training level : Definition
Next level:
Master industrial performance with data
Want to take your business to the next level with data analytics ? Tired of battling inefficiency and poor performance in your manufacturing operations? Then this course is for you.
Our team of data analytics specialists developed this course specifically for manufacturers who want to improve their performance by using the power of their ERP. You will learn how to:
- Collect and analyze data to identify trends and areas for improvement in your manufacturing process
- Use data to set realistic goals for your business
- Implement strategies to improve efficiency and productivity
- Monitor key performance indicators (KPIs) to track and optimize your operations
- Use data to make informed decisions on how to optimize your business
This course will equip you with the skills and knowledge to revolutionize your production line. Don’t miss this opportunity to take your performance to the next level.
Register now!
Calculating the KPIs of an industrial site
Scorecard and monthly industrial performance indicators
Definition of scorecards and performance monitoring
Review of supply chain and production objectives
A monthly dashboard can be an effective way to track the performance of a manufacturing operation. It allows you to identify which parts of the business are running smoothly and which may need improvement. By regularly reviewing the dashboard, you can identify trends, set goals, and take action to improve the overall performance of the operation. Some of the potential benefits of using a monthly dashboard for manufacturing performance include:
Increased transparency: A dashboard allows you to clearly see how different aspects of the manufacturing process are performing, which can help identify potential bottlenecks or inefficiencies.
Improved decision-making: By regularly tracking key performance indicators (KPIs), you can make informed decisions about how to improve the efficiency and effectiveness of the manufacturing operation.
Increased accountability: A dashboard can help hold team members accountable for performance and ensure that everyone is working toward common goals.
Increased customer satisfaction: By monitoring key performance indicators such as on-time delivery and product quality, you can ensure you meet your customers’ needs and maintain high satisfaction levels.
Reducing the depth of delay
Optimize production, eliminate delays.
Analyze and prevent delays effectively.
Technical solutions for smooth management.
The “Reducing Depth of Delay” training is designed for production, logistics and quality managers. It provides advanced skills to identify and reduce delays in production and delivery processes. The main objective is to improve understanding of the underlying causes of delays and apply corrective strategies to optimize operational performance. The program, spread over one day or five days depending on the needs, includes interactive modules on defining the depth of delay, analyzing its impact, identifying causes, and implementing strategies to reduce delays. Participants will also benefit from an introduction to monitoring tools and methodologies, as well as a practical workshop for developing an action plan.
Optimising service levels and organisation
Calculating Delivery Service level
Delay Depth
Daily Meeting Routine
Why is service level important?
Service level is a measure of the efficiency of the manufacturing process. It tells you how well the process is able to meet customer demand for the products being manufactured.
A high service level means that the manufacturing process is able to produce enough products to meet customer demand, which can help increase customer satisfaction and retention.
A low service level can indicate that the manufacturing process is not efficient enough, which can lead to delays in fulfilling customer orders and lost sales.
By calculating the service level, you can identify bottlenecks in the manufacturing process and take corrective action to improve efficiency and increase the service level.
Service level is also a key metric for tracking manufacturing process performance over time and can help identify trends and areas for improvement.
What are the key performance monitoring indicators?
There are many key performance indicators (KPIs) that can be used to measure the performance of a manufacturing operation. Here are some examples:
On-time delivery: This measures the percentage of orders that are delivered to customers on time or before the promised delivery date.
Product quality: This measures the percentage of products that meet required quality standards.
Production efficiency: This measures the time it takes to produce a product, and can include metrics such as machine utilization and setup time.
Inventory turnover rate: This measures the number of times inventory is sold and replaced in a given period.
Order accuracy: This measures the percentage of orders that are filled correctly, without errors or omissions.
Labor productivity: This measures labor output per unit of time, and can be expressed as the number of units produced per labor hour.
Safety Performance: This measures the number of accidents or incidents that occur in the manufacturing operation.
Customer Satisfaction: This measures the level of satisfaction of customers who have purchased products from the manufacturer.
Cost of Goods Sold: This measures the total cost of producing the products sold by the manufacturer.
Return on Investment (ROI): This measures the profitability of the manufacturing operation and is calculated by dividing the net profit by the total investment.
Why is data analysis essential for KPIs?
Data analytics is important for key performance indicators (KPIs) because it allows you to understand and interpret the data collected for each KPI. By analyzing the data, you can identify trends, patterns, and relationships that can provide insights into the performance of the manufacturing operation.
For example, if you are tracking the KPI “on-time delivery,” data analytics can help you understand the factors that contribute to delivery delays and identify opportunities to improve performance. Similarly, data analytics can help you understand the factors that impact product quality, production efficiency, and other KPIs, and take steps to improve these areas.
Overall, data analytics is a crucial step in the process of tracking and improving the performance of a manufacturing operation through the use of KPIs. It allows you to make informed decisions about how to optimize the operation and achieve better results.