Imagine that you are in a store, and you see a pair of headphones that boast superior sound quality and durability. You purchase the headphones, and after using them for 6 weeks, the sound starts to crack and pop. As a consumer, this is not a good feeling.
Most customers tend to agree. In fact, 89 percent of customers will do business with a competitor following a poor experience. Nobody likes to be hoodwinked into purchasing a product. When a company markets itself as offering a quality item, the item better work according to the bar that the company raised for itself. As with most things related to quality, focusing on your image without backing it up with operational capacity is a strategy that typically does not end well. A company that focuses on efficient production and quality control, however, has the ability to canonize itself once it gains a reputation for making products that are reliable and a good value.
Statistical process control software is a crucial aspect of ensuring that products meet the quality of standard necessary for meeting your engineering specifications and consumer expectations. Operation data from multiple production sources can be aggregated into a single quality control hub that can be accessed from any location. The system is designed to track variability during production with the intention of creating a stable manufacturing process. When products consistently conform to standards, plant managers and quality directors will have reporting that verifies that a product is of sound quality before it ever leaves a production facility.
Additionally, statistical process control software is crucial for gaining insight as to the quality of a product as it comes in from a supply chain partner. For instance, a company that produces headphones might pull parts from a variety of sources and assemble them in its manufacturing facility. When even a tiny part can be traced back to its original source through a database, the integrity of a supply chain is kept in check.