Mon., Jan. 20 | The Westin Ottawa

Using Interactive Games and Simulations to Drive Operational Improvement

Registration is Closed
Using Interactive Games and Simulations to Drive Operational Improvement

Time & Location

Jan. 20, 2020, 9:00 a.m. – 5:00 p.m.
The Westin Ottawa, 11 Colonel By Dr, Ottawa, ON K1N 9H4, Canada

About the Event

  

A series of interactive games, educational simulations and team exercises will be delivered during the course of the day to drive various learnings associated with Operational Improvement in the Mining / Mineral Processing industry. These learnings can be applied to specific improvements of a process, as well as general improvement of business practices. Everyone will have a chance to participate with each game, either directly or indirectly. A brief introduction to the theory will be offered prior to each game, and analysis / debrief after each game.

· Variation and Bottlenecks (Dice)

o Impact of variation on the overall performance and improvement roadmap.

o Understanding bottlenecks.

o Expected vs Actual Performance linked to decision making.

· Lean Zone Production Methodology (Lego)

o Impact of supplier problems, labor skills, deadlines, quality control and other real-life situations incorporated into each round/phase of the simulation.

o Visual, hands-on demonstration of how changes can improve productivity.

o Helps break down employees' natural resistance to change, making it a practical and entertaining way to introduce new concepts, open constructive dialogue and demonstrate the positive aspects of well-planned directed change.

· Measurement System Analysis (Caliper)

o Impact of operator / analyst and instrument on the overall quality of a measurement system.

o Gage study of a measurement system.

o Understanding the difference between accuracy and precision, and how good is acceptable.

· Design of Experiment (Effervescent Tablets)

o Impact of factors and interactions on identifying optimum conditions for dissolution.

o Design of Experiment to obtain maximum information with minimum number of trials.

o Identify which inputs cause a significant effect on the output (main effects), as well as potential interactions and an overall (predictive) transfer function.

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