Control charts are useful in stabilizing a process because they help identify an

Question

Control charts are useful in stabilizing a process because they help identify any "special causes" that may be acting on a process. Before a process can be improved, the process must be stable (special cause variation must be eliminated; only common cause variation should be left in the process).

Describe some process with which you are familiar (e.g., a process in your place of employment) and discuss how one of the attributes control charts (p, np, c or u) could be used to stabilize the process. What type of data would need to be collected? Are there potential challenges in obtaining such data? What might be some plausible sources of special cause variation in the process?

Explanation / Answer

P control chart

P control chats is used to look at variation in yes/no type attributes data

At my place of work we produce furniture that have to conform to certain specification and standards, if they fail to meet those specifications the product is consider as defective.

At the plant we try to reduce the cost of reprocessing the furniture that are defective and for this we pull a random sample of 50 furniture per day, if the furniture has 1 type of inconformity is considered defective, the kind of data will come from the quality department that needs to audit the furniture.

Is not really a challenge to obtain this data because there is a team assign to it.

Some possible sources of variation could be the new type of material we are using, if the employee is new he will most likely make mistakes, the quantity of the order because employee tend to make more mistake when they have too much work to do on little time

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