An OLDIE!
Re: Linking SPC & SD (long)
Joe Kilbride
Fri, 4 Nov 94 10:46 CST
Bob Klein wrote re: my interest in the linkages between SPC (statistical process control) charts and SD (System Dynamics) models:
>Quality Function Deployment (QFD) links the Voice of the Customer
>(customer wants and needs are at the center of any valid TQM
>effort) to internal metrics a.k.a. performance measures. It is
>these internal metrics and performance measures that are plotted
>on SPC charts. And it is these same metrics that show up in SD
>models.
I agree with Bob's explanation of how these tools can be deployed throughout an organization in concert with one another. However, what I have been interested in is how SPC and SD work at the level of individual mental models. Both tools tend to provide their users with entirely new ways of perceiving, and therefore improving, their worlds. In other words, they give you AHAs! of a very similar nature. IMHO, here is why.
Buckminster Fuller said something like (and I paraphrase) "Don't teach me new ways of thinking. Instead give me a tool that makes me think in new ways." That is what SPC and SD models do: they provide a tool that forces us to think in new ways. These tools help us make the shift that Senge describes as moving from:
events---->patterns of behavior--->underlying structures
Here is how the tools enable the shift...
The key aha of variation/SPControl charting is that until you can differentiate between common and special cause behavior, you have no way of distinguishing important (i.e., special cause) events, from unimportant (i.e., random, or common cause) events. No matter how good it makes you feel to be a "take charge, action-oriented manager", ANY reactions to common cause events, no matter how well-intended or logical they may seem, are likely to be detrimental to process performance.
The impact of this is that when managing a work process, every event is a problem of equal magnitude until we begin control charting. Using SPC charts forces us to stop reacting to (common cause) events, and to see beyond them to the patterns of behavior that emerge over time as we plot the data. By studying the patterns of behavior using SPC, we learn that only special causes are events of importance, i.e., problems to solve. All other variation is inherent in the system itself. Eventually, as the system becomes stable (i.e., no special causes), further improvement requires examining the underlying structure of the process itself, which is the source of all common cause variation. In summary, the progression SPC charting enables is as follows:
When you: You shift from:
--------------------------- -------------------------------------
- begin keeping SPC charts - events ---> patterns of behavior
- get system in-control - patterns ---> underlying structures
Like SPC charts, which provide a tool and a discipline for seeing beyond the common cause events in a process, SD models help us see beyond day-to-day events (like a drop in sales or an inventory shortage) to the underlying feedback structures that are generating the observed behavior in complex, dynamic systems. The progression SD modeling enables is:
When you: You shift from:
-------------------------------- -----------------------------------
- plot Behavior Over Time (BOT) - events ---> patterns of behavior
- map, model, simulate - patterns ---> underlying structures
What all this boils down to is captured by Peter Senge at the beginning of Chapter 7 in The Fifth Discipline: "The bottom line of systems thinking is leverage--seeing where actions and changes in structures can lead to significant, enduring improvements...Our nonsystemic ways of thinking are so damaging specifically because they consistently lead us to focus on low-leverage changes."
In short, SPC and SD models help us (a) stop reacting to events and (b) gradually ascend the "ladder of leverage" from events to patterns to underlying structures. The effect of doing so is twofold:
- we avoid taking counterproductive actions, like blaming actors within the system for system behavior, or reacting to common cause events, which is called "tampering" by Deming
- the actions we take instead have greater positive impact
I hope this more clearly describes my interest in SPC/SD linkages than my previous post. In the spirit of the Learning Org list, I welcome any additional clarification of my thinking by others on the list.
Bye for now...
_ _____________________________
/ )| Joe Kilbride |( \
/ / | Kilbride Consulting | \ \
_( (_ | Downers Grove, IL | _) )_
(((\ \>|_/->_____________________<-\_|</ /)))
(\\\\ \_/ / \ \_/ ////)
\ / "I have seen \ /
\ _/ the enemy, \_ /
/ / and he is us." \ \
/ / -- Pogo \ \
PS -- To readers unfamiliar with SPC, my apologies for using terminology you may be unfamiliar with. If interested and want to learn more, consider the recommendations below. I personally have found Joiner's book helpful. Everyone on the Internet who seems to know anything about SPC and variation swear by the Wheeler books. I'm ordering them myself.
- Brian Joiner's "4th Generation Management" available from Joiner
Associates @ 800/669-8326, or
- Donald J. Wheeler's books including "Understanding Variation" or
"Understanding Statistical Process Control" from SPC Press
@ 800/545-8602
Re: Linking SPC & SD (long)
Joe Kilbride
Fri, 4 Nov 94 10:46 CST
Bob Klein wrote re: my interest in the linkages between SPC (statistical process control) charts and SD (System Dynamics) models:
>Quality Function Deployment (QFD) links the Voice of the Customer
>(customer wants and needs are at the center of any valid TQM
>effort) to internal metrics a.k.a. performance measures. It is
>these internal metrics and performance measures that are plotted
>on SPC charts. And it is these same metrics that show up in SD
>models.
I agree with Bob's explanation of how these tools can be deployed throughout an organization in concert with one another. However, what I have been interested in is how SPC and SD work at the level of individual mental models. Both tools tend to provide their users with entirely new ways of perceiving, and therefore improving, their worlds. In other words, they give you AHAs! of a very similar nature. IMHO, here is why.
Buckminster Fuller said something like (and I paraphrase) "Don't teach me new ways of thinking. Instead give me a tool that makes me think in new ways." That is what SPC and SD models do: they provide a tool that forces us to think in new ways. These tools help us make the shift that Senge describes as moving from:
events---->patterns of behavior--->underlying structures
Here is how the tools enable the shift...
The key aha of variation/SPControl charting is that until you can differentiate between common and special cause behavior, you have no way of distinguishing important (i.e., special cause) events, from unimportant (i.e., random, or common cause) events. No matter how good it makes you feel to be a "take charge, action-oriented manager", ANY reactions to common cause events, no matter how well-intended or logical they may seem, are likely to be detrimental to process performance.
The impact of this is that when managing a work process, every event is a problem of equal magnitude until we begin control charting. Using SPC charts forces us to stop reacting to (common cause) events, and to see beyond them to the patterns of behavior that emerge over time as we plot the data. By studying the patterns of behavior using SPC, we learn that only special causes are events of importance, i.e., problems to solve. All other variation is inherent in the system itself. Eventually, as the system becomes stable (i.e., no special causes), further improvement requires examining the underlying structure of the process itself, which is the source of all common cause variation. In summary, the progression SPC charting enables is as follows:
When you: You shift from:
--------------------------- -------------------------------------
- begin keeping SPC charts - events ---> patterns of behavior
- get system in-control - patterns ---> underlying structures
Like SPC charts, which provide a tool and a discipline for seeing beyond the common cause events in a process, SD models help us see beyond day-to-day events (like a drop in sales or an inventory shortage) to the underlying feedback structures that are generating the observed behavior in complex, dynamic systems. The progression SD modeling enables is:
When you: You shift from:
-------------------------------- -----------------------------------
- plot Behavior Over Time (BOT) - events ---> patterns of behavior
- map, model, simulate - patterns ---> underlying structures
What all this boils down to is captured by Peter Senge at the beginning of Chapter 7 in The Fifth Discipline: "The bottom line of systems thinking is leverage--seeing where actions and changes in structures can lead to significant, enduring improvements...Our nonsystemic ways of thinking are so damaging specifically because they consistently lead us to focus on low-leverage changes."
In short, SPC and SD models help us (a) stop reacting to events and (b) gradually ascend the "ladder of leverage" from events to patterns to underlying structures. The effect of doing so is twofold:
- we avoid taking counterproductive actions, like blaming actors within the system for system behavior, or reacting to common cause events, which is called "tampering" by Deming
- the actions we take instead have greater positive impact
I hope this more clearly describes my interest in SPC/SD linkages than my previous post. In the spirit of the Learning Org list, I welcome any additional clarification of my thinking by others on the list.
Bye for now...
_ _____________________________
/ )| Joe Kilbride |( \
/ / | Kilbride Consulting | \ \
_( (_ | Downers Grove, IL | _) )_
(((\ \>|_/->_____________________<-\_|</ /)))
(\\\\ \_/ / \ \_/ ////)
\ / "I have seen \ /
\ _/ the enemy, \_ /
/ / and he is us." \ \
/ / -- Pogo \ \
PS -- To readers unfamiliar with SPC, my apologies for using terminology you may be unfamiliar with. If interested and want to learn more, consider the recommendations below. I personally have found Joiner's book helpful. Everyone on the Internet who seems to know anything about SPC and variation swear by the Wheeler books. I'm ordering them myself.
- Brian Joiner's "4th Generation Management" available from Joiner
Associates @ 800/669-8326, or
- Donald J. Wheeler's books including "Understanding Variation" or
"Understanding Statistical Process Control" from SPC Press
@ 800/545-8602