So how do we take the law into our own hands? The best, and only, approach is to surround ourselves with the tools and knowledge to reap our vigilante justice. To facilitate that knowledge, check out “The Changing Face of Additive Manufacturing Inspection,” “A Corporate Commitment to Quality Requires a Digital-First Approach,” and everything else we have to offer in this month’s Quality.
The Internet of Things (IoT) is the new standard in manufacturing today, deeply affecting the way manufacturers operate. Improving Overall Equipment Effectiveness (OEE) is crucial to IoT. Optimizing OEE requires accurate, up-to-date data across an entire organization, including measurement and test information from both quality labs and the shop floor.
Process control is frequently used for mass production. It automates precise industrial processes and is easy enough to for even small staff to manage complex processes from a central control room.
Automated risk management tools can help manufacturers incorporate risk-based thinking into their processes. Organizations should adopt risk-based thinking to make better decisions, particularly when they must contend with challenging, fast-paced or otherwise uncertain environments.
Manufacturers must ask a lot of their quality data collection systems. Ideally, these systems should not only capture quality data while a product or service is manufactured, assembled and installed, but they should also aid in pre-production preparation.
Document control helps manufacturers keep their documents in check. Organizations use document control software to manage structured documents used in the design, development and manufacturing of products, throughout their entire lifecycles.
Sunk costs are defined as costs that have already been incurred and cannot be recovered. Proponents of the sunk cost fallacy argue that since it is a cost paid in the past and unrecoverable, it should be removed from any future decision making.
Data collection has historically been completed manually. Before wireless gaging came onto the scene, staff would write down and physically log output data, a slow process with plenty of room for error.