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Effective Manufacturing Operations Management in 2024

Epicflow

Read the article to learn more about this practice and its role in manufacturing, and explore recommendations that will drive MOM’s efficiency. Manufacturing operations management (MOM) is the practice of overseeing and improving manufacturing processes at multiple levels. Train Employees.

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The key to becoming a learning organization

Asamby Consulting

This article explains what a learning organization is, why it is beneficial and how to become one. What is a learning organization A learning organization is any organization that has a structured process in place to constantly make knowledge in people's heads available to the organization. Every CEO wants a learning organization.

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"Process Mining"? Sounds Like a Waste of Time.

Markovitz Consulting

You’re missing the boat on “process mining,” the latest improvement breakthrough that will catapult your firm to the top of your industry. According to a new HBR article , process mining will “revitalize process management in firms where it has lain fallow for years.” Yup, that’s right. Gee, that sounds terrific.

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Gorillas in our Midst

Tom Spencer

The brain will focus on what’s important and ignore the rest, and the part of your brain that does this is called the Reticular Activating System (also known as “what you’ll be Googling during your lunch break today after you finish reading this article”). Again, your RAS will focus on what you train it to. Management Consulting'

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How the U.S. Can Rebuild Its Capacity to Innovate

Harvard Business

While America has continued leading the world in terms of investment in basic science research, it has lost the ability to do the kinds of process improvements that are essential for innovation. When it comes to manufacturing, the country has lost the capacity for “learning by doing.”

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If Your Data Is Bad, Your Machine Learning Tools Are Useless

Harvard Business

The quality demands of machine learning are steep, and bad data can rear its ugly head twice — first in the historical data used to train the predictive model and second in the new data used by that model to make future decisions. To compensate, data scientists cleanse the data before training the predictive model.

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How to Beat Mid-Career Malaise

Harvard Business

This made me more people-focused than process-focused, but it allowed for process improvements in the best way possible, by enabling people to excel.” A trained lawyer, James spent more than 20 years working in the legal industry in various capacities. ” The results were successful.

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