The Answer to Manufacturing’s Waste Problem is Hidden in Data
As the world moves toward a new, post-pandemic normal, industries must leverage digital transformation at an accelerated pace. This is already happening.
As the world moves toward a new, post-pandemic normal, industries must leverage digital transformation at an accelerated pace. This is already happening.
"Establishing a timeline" Credit: WRme2
Most of the world’s data are obtained as byproducts of operations. These observational data track what happens over time and have a structure that requires a different approach to analysis than that used for experimental data.
With the holidays fast approaching, manufacturers, distribution centers, and e-commerce providers are working to meet growing customer demand, while also navigating severe supply-chain disruptions and mounting labor shortages.
Within every organization, problems or incidents arise that can affect the quality of your operations.
Lean Six Sigma has improved manufacturing operations and processes for years now. Now the effect of the methodology is extending to supply chain and operations to help eliminate waste and reduce variation.
There are two ways to increase profits: increase sales or reduce costs. Although most data analysis seeks to find more ways to sell more stuff to more people, addressing preventable problems is an often overlooked opportunity.
Augmented reality (AR) means adding objects, animations, or information, that don’t really exist, to the real world. The idea is that the real world is augmented (or overlaid) with computer-generated material—ideally for some useful purpose.
Product development (PD) is the life blood of a company’s success and is the process for innovation. Today, product life cycles are shrinking due to an ever-increasing number of competitive and disruptive products coming to market quicker.
In today’s coronavirus environment, governments at all levels are under greater fiscal pressure. For instance, Oregon’s governor has told state departments to prepare for a 12-percent reduction in their budgets.
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