One large concern when maintaining a business’ facilities and assets is cost. Managing the costs of repairs, new parts, and personnel can present a challenge.

At one point in my career, after managing design controls and risk management documentation, I decided to move on.

As the growth in fulfillment warehouses, e-commerce, and third-party logistics skyrockets, and unique customer demands evolve, more companies are exploring the concept of dark warehouses—fully automated, “lights-out” facilities that use intelligent, interconnected de

Historically, manufacturing processes have often involved substantial waste. From the early days of industrialization, companies have prioritized production speed and volume over efficient resource use.

Nano Tools for Leaders—a collaboration between 

We are one year away from the 100th anniversary of the creation of the control chart: Walter Shewhart created the control chart in 1924 as an aid to Western Electric’s manufacturing operations.

Today’s manufacturing systems have become more automated, data-driven, and sophisticated than ever before.

Over the past decade, one of the biggest advances in enterprise resource planning (ERP) has been the ability to communicate and integrate with machines and external software programs to lower costs and increase efficiency.

Imagine a manufacturing world where machines seamlessly collaborate with artificial intelligence (AI) to ensure flawless quality inspection. It’s a future that holds immense potential for revolutionizing the industry.

Today I’m looking at some practical suggestions for reducing sample sizes for attribute testing. A sample is chosen to represent a population. The sample size should be sufficient to represent the population parameters such as mean and standard deviation.