Now we're getting somewhere....
See, that's the kinda "outta the box thinking" I'm looking for! Laughter is always the best medicine!
Ted, thank you for holding me accountable to my argument and forcing me to clarify my position. You're right. It's not like there is a complete void for the list of things I mention. I guess what I'm really asking is why is there such a lack of utilization of the tools available? Many of these methods are being used but oh so sparingly. Why? Why, when other industries have not been able to survive without them for decades now? Industries where goods are produced with high performance, high quality, and low cost?
Ok, I've put it off long enough, and it needs to be addressed. This issue of volume and economies of scale. To begin with, I do not have the answers but let's examine it, this issue of the chicken and the egg.
Selling in high volume requires high demand. Demand requires safety and reliability. Proven safety and relability requires high volume (I think). The reason I say I think is that there are some pretty powerful statistics that go into Reliability Engineering of which I am unfamiliar. But I'm sure that the confidence interval suffers with lower and lower volumes. I would really like to hear some folks with extensive Reliability Engineering experience chime in here. Perhaps though we can take a lesson from other industries. Overcoming the chicken and the egg is not possible overnight and from what I can tell is an iterative process. It appears to me to be a process of the following:
Try something
gather data
turn the data into information
learn from the information
develop the next solution
take a risk in the market
gather data, data into information
learn from low market volume
develop the next solution
take a bigger risk in the market with higher volumes
repeat
Right now, this is the only solution to the chicken and egg I can come up with. One thing appears certain to me, however. If you've got loads of available data that you're doing nothing with, how can you possibly learn? It is my supposition that this is what we are seeing in the aviation industry today.
Thought I'd inject some humor into this.
If it is a rhetorical question, why are we answering?
See, that's the kinda "outta the box thinking" I'm looking for! Laughter is always the best medicine!
What makes you think that Cessna, for example, isn't utilizing most or all of these standard engineering / business concepts / tools? Want to bet that Boeing isn't using all of them, plus many you haven't heard of?
It really does boil down to economics of scale. There is more money in parts for a 27" tube TV than in a Garmin SL30. Look at the respective prices. Toyota makes more engines in a year than Lycoming has made in it's entire history. Look at the respective prices.
Serious factory automation requires serious capitol investment. That investment will not be made without a strong expectation of return.
If you want cheaper, more advanced GA aircraft, just convince 100,000 of your buddies to buy one this year, and the next, and the next. I can guaranty you the dramatic improvements you are looking for.
Ted, thank you for holding me accountable to my argument and forcing me to clarify my position. You're right. It's not like there is a complete void for the list of things I mention. I guess what I'm really asking is why is there such a lack of utilization of the tools available? Many of these methods are being used but oh so sparingly. Why? Why, when other industries have not been able to survive without them for decades now? Industries where goods are produced with high performance, high quality, and low cost?
Ok, I've put it off long enough, and it needs to be addressed. This issue of volume and economies of scale. To begin with, I do not have the answers but let's examine it, this issue of the chicken and the egg.
Selling in high volume requires high demand. Demand requires safety and reliability. Proven safety and relability requires high volume (I think). The reason I say I think is that there are some pretty powerful statistics that go into Reliability Engineering of which I am unfamiliar. But I'm sure that the confidence interval suffers with lower and lower volumes. I would really like to hear some folks with extensive Reliability Engineering experience chime in here. Perhaps though we can take a lesson from other industries. Overcoming the chicken and the egg is not possible overnight and from what I can tell is an iterative process. It appears to me to be a process of the following:
Try something
gather data
turn the data into information
learn from the information
develop the next solution
take a risk in the market
gather data, data into information
learn from low market volume
develop the next solution
take a bigger risk in the market with higher volumes
repeat
Right now, this is the only solution to the chicken and egg I can come up with. One thing appears certain to me, however. If you've got loads of available data that you're doing nothing with, how can you possibly learn? It is my supposition that this is what we are seeing in the aviation industry today.