Fluitec Wind Case Study
Homework Questions:
1. What might drive wind farm operators to adopt a more aggressive attitude towards the utilization of predictive analytics using monitoring and operations data to run the business?
1. Diminishing the cost of hiring maintenance groups
2. Shorter the time of responding bugs &reports
3. Collecting the trend of damage report, and having better communication with engineering or manufacturing department in case of necessary adjustment or improvement for different geographic conditions.
4. Improve the efficiency of utilizing wind energy (if turbines always run full capacity, then company should consider add more turbines or extend the turbine’s capacity)
5. Better allocating the number of maintenance groups on sites
6. Save the opportunity time cost for maintenance groups moving between sites
7. Improve the inventory turnover ratio by having better prediction on future market
8. Improve the repair inventory management by having better prediction on potential product failure.
2. Establish for yourself a picture of a wind farm operator before and after the decision to exploit the use of predictive analytics through the adoption of Fluitec Wind as a service provider. [fill in table below] 3. Moving beyond Fluitec and their specific use of predictive analytics geared at reducing maintenance costs for wind farm operators: What could be other uses of predictive analytics in other industries that someone might use? a) Brainstorm one idea how predictive analytics could be used and describe it briefly in a couple of sentences (any industry; any idea; the more “out of the box” the better)
Answer: RTS games (Real time strategic games); Dota, League of Legend
Software developers could develop an analytics program to collect and analysis each professional player’s habits in games
b) What would be the benefit of using your predictive analytics idea?
It helps professional gamers to develop counter strategies on their competitors. For instance, in Dota
1. What might drive wind farm operators to adopt a more aggressive attitude towards the utilization of predictive analytics using monitoring and operations data to run the business?
1. Diminishing the cost of hiring maintenance groups
2. Shorter the time of responding bugs &reports
3. Collecting the trend of damage report, and having better communication with engineering or manufacturing department in case of necessary adjustment or improvement for different geographic conditions.
4. Improve the efficiency of utilizing wind energy (if turbines always run full capacity, then company should consider add more turbines or extend the turbine’s capacity)
5. Better allocating the number of maintenance groups on sites
6. Save the opportunity time cost for maintenance groups moving between sites
7. Improve the inventory turnover ratio by having better prediction on future market
8. Improve the repair inventory management by having better prediction on potential product failure.
2. Establish for yourself a picture of a wind farm operator before and after the decision to exploit the use of predictive analytics through the adoption of Fluitec Wind as a service provider. [fill in table below] 3. Moving beyond Fluitec and their specific use of predictive analytics geared at reducing maintenance costs for wind farm operators: What could be other uses of predictive analytics in other industries that someone might use? a) Brainstorm one idea how predictive analytics could be used and describe it briefly in a couple of sentences (any industry; any idea; the more “out of the box” the better)
Answer: RTS games (Real time strategic games); Dota, League of Legend
Software developers could develop an analytics program to collect and analysis each professional player’s habits in games
b) What would be the benefit of using your predictive analytics idea?
It helps professional gamers to develop counter strategies on their competitors. For instance, in Dota