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Planning, Execution & Management / DDMRP 

 

Demand Driven MRP (DDMRP) is the formal planning and execution solution for the 21st Century introduced in the newest edition of Orlicky’s Material Requirements Planning (Ptak and Smith, McGraw-Hill, 2011)  that provides the ability to sense, adapt and serve today’s highly volatile and co mplex demand chains. 

 

The DDMRP method represents a significant overhaul for formal planning allowing companies and supply chains the ability to minimize the impacts of variability while dramatically compressing lead times and working capital requirements. 

 

 

Session Background 

 

By attending this presentation you will learn the following:

                     Why traditional formal planning tactics are breaking down and how devastating the effects are

                     How Demand Driven MRP resolves these break downs

                     How Demand Driven MRP facilitates and enable Lean and TOC i mplementations  

 

 

About the presenters

 

 

Carol Ptak is currently a partner with the Demand Driven Institute, and was most recently at Pacific Lutheran University as Visiting Professor and Distinguished Executive in Residence. Previously, she was vice president and global industry executive for manufacturing and distribution industries at global industry at PeopleSoft where she developed the concept of demand driven manufacturing (DDM). Ms. Ptak is also a past president of APICS and has authored several books on MRP, ERP, Lean and Theory of Constraints (TOC). books on MRP, ERP, Lean and Theory of Constraints (TOC).

 

Chad Smith is currently a partner with the Demand Driven Institute as well as cofounder and managing partner of Constraints Management Group, a services and technology co mpany specializing in pull-based manufacturing, materials, and project management systems for mid-range and large manufacturers. He has been at the forefront of developing and articulating Demand Driven MRP (DDMRP) and is also an internationally recognized expert on the Theory of Constraints (TOC).

 

 

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