Traceability of food products plays a vital role in ensuring food safety and security. Tracking the food products throughout the supply chain is necessary.
Right from the ingredient suppliers through food manufacturing plants to the distribution and retail to the final consumer, food products need to be tracked.
Traceability improves reliablility and safety of food products. In the event of food related contanimation, the source of the problem has to be traced and tracked back to manufacturer or the ingredient suppliers in a small period of time.
RFID Or Radio Frequency Identification are used to track products throughout the supply chain. Using radio waves, these radio frequency (RF) tags help identify and track products. Just like any other product, RFID helps track food products too.
It offers higher security as products move through the supply chain.
ISO recently released a new standard ISO 17367:2009 for the use of RFID for supply chain applications. Using the RFID technology, the standard aims to provide higher level of product security worldwide enabling efficient exchange of goods in international trade. This standard can be applied in several industry sectors using RFID technology.
Wednesday, March 31, 2010
Monday, March 15, 2010
Role of Sigma in Cpk and Ppk calculations
Cpk and Ppk are calculated using the same formula.
So what’s the difference between the two?
The difference between Cpk and Ppk is the way sigma is estimated.
For Cpk, sigma is estimated using the formula…
Rbar/d2 for Xbar-R chart where Rbar is the average Range and d2 is a statistical constant
Sbar/c4 for Xbar-S chart where Sbar is the average standard deviation and c4 is a statistical constant
For Ppk, sigma is estimated using the formula
Where
X – Individual reading
- Process average
n – Sample size
So why use two separate indices?
Cpk and Ppk are designed for use under specific conditions.
Sigma used in the Cpk calculation explains inherent variation in the process which is caused by common causes. The control chart for such a process would be statistically stable.
On the other hand, sigma used in Ppk calculation explains the total variation caused by common as well as special causes. Control charts for this process would have points out of control i.e. the process is unstable.
New process design or pre production (pilot) runs for new products would typically have special and common causes present. Ppk is used for determining capability of such processes.
So what’s the difference between the two?
The difference between Cpk and Ppk is the way sigma is estimated.
For Cpk, sigma is estimated using the formula…
Rbar/d2 for Xbar-R chart where Rbar is the average Range and d2 is a statistical constant
Sbar/c4 for Xbar-S chart where Sbar is the average standard deviation and c4 is a statistical constant
For Ppk, sigma is estimated using the formula
Where
X – Individual reading
- Process average
n – Sample size
So why use two separate indices?
Cpk and Ppk are designed for use under specific conditions.
Sigma used in the Cpk calculation explains inherent variation in the process which is caused by common causes. The control chart for such a process would be statistically stable.
On the other hand, sigma used in Ppk calculation explains the total variation caused by common as well as special causes. Control charts for this process would have points out of control i.e. the process is unstable.
New process design or pre production (pilot) runs for new products would typically have special and common causes present. Ppk is used for determining capability of such processes.
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