- 28 February 2013
Imagine what you could do with real-time monitoring and control for your production and process manufacturing operations. You could improve productivity, work more efficiently and profitably, and make better decisions based on the manufacturing performance of your plant or entire enterprise. You can do all this with the help of a Manufacturing Execution System (MES).
Here are four ways to better your production efficiency with a manufacturing execution system.
Step 1: Manage Family Molds
Family molding can be a real challenge, but it gets easier with an MES designed to handle these complex scenarios.
An MES designed to help you control the scheduling and cost reporting for all the different parts made within a family will allow you to effectively monitor the scrap and costs associated with each individual part within the family.
With an MES, manufacturers who use family molds can plan proactively with system alerts for tooling conflicts and color change information; run uneven batches of parts and scrap parts individually; and ultimately, eliminate unnecessary wait time and inefficiencies.
Step 2: Focus on Proactive Process and Quality Control
A proactive quality control initiative is crucial to ensure you ship high quality parts to your customers. It’s no longer enough to simply collect real-time production data of your manufacturing operations, you also need to analyze the process conditions of your production, in real-time, to prevent bad parts from being produced and shipped to customers.
Make sure the MES you’re evaluating includes comprehensive Statistical Process Control (SPC) features that help you analyze important process conditions, and provides alerts when process conditions are out of tolerance. This way you’ll have full and immediate traceability back to the root cause of your quality issue.
SPC reduces bad parts produced and improves quality by collecting data from samples at various points within your process. Variations in the process that may affect the quality of the end product can be detected and corrected, thus reducing waste as well as the likelihood that problems will be passed on to the customer. It has an emphasis on early detection and prevention of problems.
Step 3: Rely on Real-Time Information
Your ERP system should provide accurate 24/7 real-time manufacturing information of all your plant operations. By gaining access to this information, you will be able to reduce scrap, waste and machine downtime, improve your cycle times, Overall Equipment Effectiveness (OEE), plant productivity and automatic part qualification. A proper MES system will enable you to become proactive, and help anticipate and solve manufacturing problems before they occur. Identifying resource inefficiencies lets you do more with your existing resources and find new capacity.
Step 4: Eliminate Manual Processes
Collecting production data manually is time-consuming and error prone. With no access to real-time data, you might produce bad parts for some time before you realize it. Halting production to find the bad parts and the root cause can result in significant costs.
If you’re ready to be proactive in your manufacturing operations; anticipate and solve manufacturing problems before they occur; identify resource inefficiencies, and do more with your existing resources and find new capacity, then a Manufacturing Execution System may be just what you need.
From an Epicor White Paper
Epicor Software Corporation is a global leader delivering business software solutions to the manufacturing, distribution, retail, and service industries. With more than 40 years of experience, Epicor has more than 20,000 customers in over 150 countries. Epicor solutions enable companies to drive increased efficiency and improve profitability. With a history of innovation, industry expertise, and passion for excellence, Epicor inspires customers to build lasting competitive advantage. Epicor provides the single point of accountability that local, regional, and global businesses demand. For more information, visit www.epicor.com.