Loading Events
This event has passed.

Discuss current and state-of-the-art sawmilling technology, including tree and log scanning, lumber overrun and recovery, statistical quality control, lean manufacturing principles and other modern management techniques. This will be a virtual class.

SIGN UP HERE. For agenda and instructor information click HERE.

Agenda:
9:30 –   9:45  Registration and Hardwood University Program Introduction (Rado Gazo)

9:45 – 10:00  Overview of hardwood sawmilling process and sawyer decisions (Rado Gazo)

10:00 – 11:00  Sawmill Yield Studies: Connecting Quality and Processing to Dollars (Brian Bond)
Yield studies can help you to better define you log prices, how you process your logs through the mill and how much mill improvements can impact your bottom line. Why, What, and How to conduct a yield study will be discussed, including software tools to analyze the data.

11:00 – 12:00  LORCAT Sawmill Analysis Tool (Ed Thomas)
The LOg ReCovery Analysis Tool is a free MS Excel spreadsheet tool that enables mill personnel, mobile bandsaw operators and researchers to examine the impact and relationships among various factors that influence hardwood mill recovery

12:00 – 12:30  Lunch

12:30 –   1:15  Statistical Process Control (Henry Quesada)
SPC is an important tool to make sure products and processes are delivered with the right quality. Statistical concepts behind SPC will be explained with examples from lumber manufacturing will be presented.

1:15 –   2:30   Continuous Improvement (Henry Quesada)
Main philosophies and methodologies that are available to increase efficiencies and effectiveness of manufacturing processes in wood products industries

2:30 –   3:15   Tree and Log Scanning and Sawing Optimization (Rado Gazo)Until now, operators involved in log inspection, purchasing, merchandising and processing made their decisions mostly based on external log or tree characteristics and their experience. This presentation will discuss state-of-the-art CT scanning of internal characteristics of logs.

3:15                Conclusion