Every aerospace manufacturing organization needs a quality system. The differentiator is how readily one can react to a non-conformance and how frequently report their quality metrics. In absence of MES, reporting is purely historical and is often available too late to take action on its findings. MES enables non-conformances to be addressed in the present and minimize their potential impact.
Manufacturers like you face critical demands to maintain regulatory compliance while also driving value for your customers. Moving from a manual tracking system to an automated MES provides complete quality control plus the flexibility for you to respond to changes in real time.
But what if your operation isn’t quite ready for an entire enterprise-wide MES system?
One manufacturer who faced this exact challenge is K2 Energy, a leading supplier of lithium-ion battery modules.
For automotive manufacturers, large-scale product recalls can be devastating for business. Manufacturing Execution Software (MES) systems provide defect data in real time, ensuring flawed product doesn’t leave the factory. We recently completed a customer case study with Lear Automotive Electronics and Electrical Products in Shanghai, China, and in this blog post, we'll look the measurable benefits the company has realized as a result.
Most recently viewing methods have become a critical factor when data is being utilized by an organization. Mobility is the norm in modern business and the team’s ability to stay connected to the data via mobile analytics has become key. The use of smartphones and tablets has skyrocketed, with the addition of people utilizing their own devices in a work environment. This means any system absolutely must be visible through smartphone and tablet based applications.
Right data, right place, right time - why data needs to be timely, complete, precise and appropriate
The basic requirement of a successful data driven or ‘transparent’ factory are the ability to collect data and to store data centrally. But that data is largely useless if it does not enable improvement, corrective action and the pursuit of manufacturing excellence. This can only be done if the data is properly mined and appropriately displayed to the right people at the right time. The right data, at the right time, delivered to the right person in a manner that they can act upon, is the best formula to achieving real operational excellence.
Taking a big data approach is a change of mindset. In real terms it is all about viewing big data as the means to drive manufacturing excellence through an entire workflow, where traceability becomes a valuable byproduct rather than a cost. This yields many benefits, and here are four of the key ones:
Traditionally traceability has been a reaction to the requirements of a customer or to a regulatory requirement. If traceability is to offer real value, and not cost, then it needs to become proactive, creating traceability data as a byproduct of a data driven manufacturing excellence strategy.
It's not the first time I've written about wearables and it certainly won't be the first time you've read about it. Since the start of the year and my visit to CES (Consumer Electronics Show) in Las Vegas I, along with most of the industry, have been talking about this new sector and the potential it holds. Only yesterday I was listening to the quarterly conference call of one of the world's largest contract manufacturers and the topic was enthusiastically discussed between the CEO and the analysts during the Q&A session.
The automotive electronics segment is worth close to $180 Billion annually, plus another $35 Billion for infotainment, and this is a segment with current and projected double-digit growth. Eighty million cars are sold worldwide and they average around $2,700 of electronics content. What’s more content is developing rapidly...