Factory Auditing & Assembly Line Evaluation

How does Exponent's multidisciplinary approach provide better process evaluations and quality control audits?

When clients face issues with their final products or if manufacturing machinery goes offline, clients turn to Exponent for rapid response and a value-driven approach. Our electrical engineers, computer scientists, data scientists, mechanical engineers, and manufacturing experts work to determine root causes of failures, assess process control and quality control, and evaluate supply chains — examining every angle for accurate understanding.

How can our value-driven, process-oriented focus help you improve performance and product quality?

With more than 50 years in failure analysis, Exponent's auditing programs are designed to help you improve the performance of the process and quality of your product while minimizing the risk of failures.

Our engineers have a strong background in ISO 9001 auditing techniques and principles and will help you develop best practices. But what enables Exponent to provide unparalleled value is our knowledge of how products fail in the field and how the manufacturing process can contribute to such failures. Our audits have a process-oriented focus — where the root of most manufacturing problems occurs — and target the quality systems associated with the process.

Gain peace of mind with our on-site investigations and factory audits.

Exponent conducts engineering audits of manufacturing facilities to help ensure suppliers follow best practices in manufacturing processes and quality control. In addition to full factory audits, which include an evaluation of the entire manufacturing process from incoming material quality control (IQC) to outgoing quality control (OQC), Exponent frequently visits manufacturing lines as part of our root-cause analysis investigations.

By examining various manufacturing and handling processes, we can assess whether contamination, mechanical defects, tolerance errors, and physical and chemical control parameter settings could have contributed to failures.