IMTS 2024 Conference: Dynamic Production Method - An Alternative Approach to Traditional Finite Capacity Scheduling

Learn about the Dynamic Production Method.

Dynamic Production Method - An Alternative Approach to Traditional Finite Capacity Scheduling with Lillyworks
Dynamic Production Method - An Alternative Approach to Traditional Finite Capacity Scheduling with Lillyworks
GIE Media's Manufacturing Group

Monday September 9 1:15 PM CST
IMTS07 Room W192-A

Learn about the presentation
Why do most manufacturers struggle with the traditional finite capacity scheduling model?

  • Static only as good as the last time the scheduling program was run, not dynamic
  • Prioritization method doesn't make sense for Hi-Mix, Customer manufacturing environments
  • Based on a capacity-loading algorithm, not representative of how production will actually be executed (flow).

A new approach is needed: Introducing the Dynamic Production Method. What are the 3 main principles implemented in a production environment when adopting the Dynamic Production Method?

  • Anticipate Variability in Production
  • Per Little's Law, limit how much goes into WIP
  • Use a prioritization method that maximizes the ability of production to deliver all orders on-time.

What are the primary production related questions that the Dynamic Production Method answers:

  • In real-time?
  • Where is the order, how is it tracking?
  • When should I start workorders/jobs? Do we have the material to start them?
  • Once started, in any dept/workcenter, which workorder/job should be worked on next?In the future?
  • What is my current and future Load v Capacity?
  • Where will our biggest production bottlenecks be in the future? Are they internal resources (machines/workcenters/people)? Materials? Outside processing?
  • How can we tell our customer - with Confidence! - when they will get their order out of production and shipped to them?
  • In "what-if" production scenarios?
  • What if we take that big new order? What if a machine goes down? What if we add people/shifts/machine? What is the impact on OTD and/or Revenue?

Meet your presenter
Mark Lilly's passion is helping manufacturing companies improve their business performance using the latest technology. Leveraging his degree from Cornell in computer science and psychology, his 35 years experience working directly with manufacturers, and the latest Industry 4.0, IIoT, and Machine Learning/AI knowledge, Mark is eager to show where manufacturing’s true potential for improvement lies.

Mark comes from a strong family background of helping manufacturers with production management and control. His father and brother created several manufacturing software applications designed to help companies with shop floor scheduling and material planning such as ProfitKey (Salem, NH), VISUAL Manufacturing (now Infor VISUAL ERP), and now Protected Flow Manufacturing.