Maintaining Competitive Advantage and Product Data Quality (PDQ)

Despite the recent growth experienced in certain economies around the world, competition in the engineering and manufacturing sectors remains fierce. 

In order to compete, particularly with low-cost countries, UK manufacturers are having to ensure that costs are kept to a minimum. Lean manufacturing plays a major role in this process, as does reducing material costs. Cost-effective and innovative design can also deliver considerable cost benefits.

Most companies have been able to improve their design processes by the adoption of leading PLM products such as CATIA and ENOVIA along with simulation products like the SIMULIA portfolio and DELMIA for digital manufacturing.

However one area that can deliver cost savings and is often overlooked, is that of the quality of the data produced by PLM software. The goal of “right first time” should extend beyond physical product quality and into its digital counterpart. After all, the CAD model is in most cases the starting point for the eventual physical product. Errors encountered at the design stage are often not picked-up until the first prototype, and worse, volume production. The cost of errors at this stage are exponentially higher than if they were identified whilst the model only existed in a virtual environment.

All OEMs and most industry-leading organisations have identified the cost-benefits of good Product Data Quality (PDQ) practices. They have recognised the importance of not only developing company-specific standards but also ensuring that these standards are rigorously adhered to. This challenge is magnified in the case of new engineers joining the company and not being fully conversant with said standards. 

With shortened times-to-market adding increasingly to a company’s competitive advantage, the issue of design re-work can in certain cases negate the obvious benefits of design innovation.

More than 2,000 CATIA-based organisations worldwide have successfully tackled the challenges of Product Data Quality by the adoption of Q-Checker as an integral part of their design and manufacturing processes.

By making Q-Checker available to CATIA users as early as possible, costly mistakes are all but eliminated. These users are almost unknowingly adhering to not only their own company standards, but in a supply-chain scenario, that of their customers as well. OEMs actively encourage suppliers to address PDQ by making their own check-profiles available to their partners.

By being able to monitor and measure the types of faults being detected, companies are increasingly able to identify the causes of such errors and address them either by standard management practices or by the further education of users.

For more information on how your company can benefit from the adoption of the leading CATIA-based PDQ system, register for our upcoming webinar or contact Dave Meyrick:

Webinar: An Introduction to Q-Checker - More Time for Engineering
Wednesday 10th June, 10am (BST)