Week 30 – Inventory Management Mistakes, Part 3
Inventory policy should use the parameters of your environment along with operations science and math to help you adjust to variability yet arrive at planned performance as expected.
Week 29 – Inventory Management Mistakes, Part 2
We have seen inventory managers and planners make the mistake of monitoring on-hand to determine how much inventory they should order. This is an incomplete approach and we describe the appropriate measure for good control.
Week 28 – Inventory Management Mistakes, Part 1
We explore a widespread error in inventory management which is very basic, very harmful to customer service and cost, and easy to fix.
Week 27 – Saving Billions with Operations Science in Engineering and Construction, Part 2
Following up with last week’s introduction to the application of operations science in Engineering and Construction projects, a case study is provided this week with specifics of application.
Week 26 – Saving Billions with Operations Science in Engineering and Construction
This week we explore one of the largest cost savings opportunities on the plant. Application of operations science to Engineering and Construction mega projects.
Week 25 – Increasing Healthcare Efficiency
St. Mary’s hospital case study showing the benefits of using operations science to better synchronize nursing resources with patient demand.
Week 24 – Baxter Saves Tens of Millions of Dollars in Operations
Operations science provided a framework to help Baxter Healthcare optimize operations and realize major performance improvements.
Week 23 – Artificial Intelligence and Operations Science
AI presents great promise and great risk. Watch this week’s video to discover how to manage the risk of AI in operations, projects, services and supply chain.
Week 22 – A 30% Increase in Throughput
The unique insights provided by an operations science flow analysis led this company to achieve a massive increase in throughput and efficiency in a couple of months.
Week 21 – How to Know if You Are in Control
Last week we were below goal. that was terrible. This week we are above goal. Terrific, pizza for everyone! Are you just reacting to noise in the system? If so, you’re just increasing variability and its associated buffering requirements and, at the same, time creating unnecessary stress for your people.