Demand forecasting and material resource planning

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-At what probability would you pay millions to mitigate a supply chain risk? Does it depend on the risk category/driver? What other factors are involved in your decision?

-Do you see all JIT/ lean operation principles in line with sustainable operations? Why or why not? If this statement is true, why do some claim that sustainable operations is expensive while "lean" generally aims at reducing cost?

-Some argue that given the existence of control charts, acceptance sampling is not needed. What do you think about this argument? If you were to construct an acceptance sampling plan, how would you justify that it is a good plan (what attributes would you mention, what would be "good probabilities," etc.)

-Comment on the pros/cons of redundancy and what tradeoffs exist when incorporating it in the system.

-Aggregate Planning is strongly related to Demand Forecasting and Material Resource Planning. What risks do you see that exist in this link and what steps would you take to mitigate those risks?

-The vast and increasing availability of big data affects scheduling in several important ways. Think of what data is available for Heathrow Airport and how it can be used to schedule flights. Some think this data is immensely useful for proper and accurate scheduling, while others view it as a huge increase in costs and efforts of scheduling. Is scheduling helped or hampered by big data? How would you suggest handling challenges of big data?

Reference no: EM133031716

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