Manufacturing Production Helper Workflow Map

In this article, we’ve created a starter Manufacturing Production Helper Workflow Map that you can use to start planning out your product/service delivery and we’ve outlined a few examples of experiments that you can run in your Manufacturing Production Helper role.

Ready to get started? Download the Workflow Map template or get in touch to discuss how a workflow coach could help you fast-track your business improvement.

Systems & Processes for Manufacturing Production Helper

The path towards better systems and processes in your Manufacturing Production Helper role starts with mapping out your most important business processes. Being able to see your business processes laid out visually helps you to collaborate with your team on how to improve and grow. By repeating this collaboration process, you’ll develop a culture of continuous improvement that leads to a growing business and streamlined systems and processes that increase customer & staff experience.

To help you start mapping out your processes, we’ve developed a sample flow for a Manufacturing Production Helper Workflow Map that you can use with your team to start clarifying your processes and then run Business Experiments so you can build a better business.

Workflow Map For A Manufacturing Production Helper

1. Order Placement: The first stage involves receiving the order from the customer, either through an online platform or directly from the sales team.
2. Material Preparation: This stage involves gathering all the necessary raw materials and components required for the manufacturing process.
3. Assembly: The manufacturing production helper assembles the various parts and components to create the final product according to the provided specifications.
4. Quality Control: Once the product is assembled, it undergoes a thorough quality control check to ensure it meets the required standards and specifications.
5. Packaging: After passing the quality control check, the product is carefully packaged to protect it during transportation and storage.
6. Shipping: The packaged product is then prepared for shipping, including labeling, documentation, and arranging transportation to the customer’s location.
7. Delivery: The product is delivered to the customer’s specified location, either through a logistics provider or the company’s own delivery service.
8. Installation: If required, the manufacturing production helper may also be responsible for installing the product at the customer’s site, ensuring it is properly set up and functioning correctly.
9. Testing and Commissioning: For certain products, such as machinery or equipment, the manufacturing production helper may conduct testing and commissioning activities to ensure the product is fully operational and meets the customer’s requirements.
10. Customer Support: After the product is delivered and installed, the manufacturing production helper may provide ongoing customer support, addressing any issues or concerns that arise and ensuring customer satisfaction

Business Growth & Improvement Experiments

1. Name: Implement Lean Manufacturing Principles
Description: This experiment involves studying and implementing lean manufacturing principles such as 5S, value stream mapping, and continuous improvement techniques. It aims to eliminate waste, improve efficiency, and streamline production processes.
Expected Outcome: Increased productivity, reduced lead times, improved quality, and cost savings.

2. Name: Cross-Training Program
Description: This experiment involves developing a cross-training program for manufacturing production helpers to learn multiple tasks and skills within the production process. It aims to increase flexibility, reduce bottlenecks, and improve overall productivity.
Expected Outcome: Improved workforce flexibility, reduced downtime, increased efficiency, and improved employee satisfaction.

3. Name: Implementing Automation Technologies
Description: This experiment involves identifying areas in the manufacturing process where automation technologies can be implemented, such as robotic arms, automated material handling systems, or computerized inventory management systems. It aims to reduce manual labor, increase production speed, and improve accuracy.
Expected Outcome: Increased production capacity, reduced labor costs, improved product quality, and faster turnaround times.

4. Name: Implementing a Just-in-Time (JIT) Inventory System
Description: This experiment involves transitioning from a traditional inventory management system to a just-in-time (JIT) system. It aims to minimize inventory holding costs, reduce waste, and improve cash flow by ordering and receiving materials only when needed for production.
Expected Outcome: Reduced inventory carrying costs, improved cash flow, minimized waste, and increased production efficiency.

5. Name: Implementing Total Productive Maintenance (TPM)
Description: This experiment involves implementing a total productive maintenance (TPM) program to ensure optimal equipment performance and minimize downtime. It aims to improve equipment reliability, reduce breakdowns, and increase overall equipment effectiveness (OEE).
Expected Outcome: Reduced equipment downtime, improved equipment reliability, increased production efficiency, and improved product quality.

6. Name: Implementing a Visual Management System
Description: This experiment involves implementing a visual management system, such as using color-coded labels, visual cues, and visual boards, to improve communication, enhance workflow visibility, and facilitate problem-solving in the manufacturing process.
Expected Outcome: Improved communication, enhanced workflow visibility, reduced errors, and increased productivity.

7. Name: Implementing Employee Suggestion Program
Description: This experiment involves establishing an employee suggestion program to encourage manufacturing production helpers to contribute ideas for process improvement, cost reduction, and efficiency enhancement. It aims to tap into the collective knowledge and creativity of the workforce.
Expected Outcome: Increased employee engagement, improved morale, enhanced problem-solving capabilities, and potential cost savings from implemented suggestions.

8. Name: Implementing Quality Control Measures
Description: This experiment involves implementing quality control measures, such as statistical process control (SPC), standardized work instructions, and regular quality audits, to ensure consistent product quality and reduce defects.
Expected Outcome: Improved product quality, reduced rework and scrap, increased customer satisfaction, and reduced warranty claims

What Next?

The above map and experiments are just a basic outline that you can use to get started on your path towards business improvement. If you’d like custom experiments with the highest ROI, would like to work on multiple workflows in your business (for clients/customers, HR/staff and others) or need someone to help you implement business improvement strategies & software, get in touch to find out whether working with a workflow coach could help fast-track your progress.