Granted Patent B2

US 12,367,256 · App. 17/612,319 · Granted Jul 22, 2025

Inventors: Florian Knicker (Frankfurt am Main, DE); Christian Reuss (Frankfurt am Main, DE); Christian Weckbacher (Frankfurt am Main, DE); Patric Ralph Stracke (Frankfurt am Main, DE)

Assignee: Sanofi

G06F17/18G05B2219/32191

Abstract

Claims (55)

1. A method comprising:

providing a plurality of sample values, wherein the sample values fluctuate and define a sample value distribution, the sample values being values of a technical parameter related to sample items of a sample, wherein the sample items are parts of drug delivery devices, assemblies for drug delivery devices, or drug delivery devices, wherein the sample items are of the same construction, and wherein the technical parameter is limited by at least one technical limit value,

depending on the sample values, choosing a probability distribution function,

using the technical limit value to determine a cutoff value for the probability distribution function,

specifying a probability content for a tolerance interval, wherein a confidence level 1-α is used that specifies the probability that the tolerance interval that has to be estimated for the technical parameter will contain values of the technical parameters of at least a proportion of production items that is specified by the probability content,

wherein the value of 1-α is the confidence level, and

wherein α is the statistical significance, and

providing at least one limit of the tolerance interval for the technical parameter based on a transformed probability content, wherein said transformed probability content is based on the cutoff value and based on the specified probability content,

using the at least one limit of the tolerance interval to manufacture the drug delivery devices or the parts of drug delivery devices or the assemblies for drug delivery devices.

2. The method according to claim 1 , wherein the specified probability content refers to the proportion or percentage of a total number of the production items, wherein the production items are parts of drug delivery devices, assemblies for drug delivery devices, or drug delivery devices of the same construction as the sample items,

wherein the total number of production items has been produced or will be produced and is greater than a size of the sample from which the sample values have been taken by at least a factor of 10, of 100 or of 1000.

3. The method according to claim 1 , wherein at least one descriptive parameter or at least two descriptive parameters of the sample values are calculated,

wherein the at least one descriptive parameter is used or wherein the at least two descriptive parameters are used to calculate the cutoff value of the probability distribution function.

4. The method according to claim 1 , wherein the technical parameter is one of the following drug delivery device parameters:

dose accuracy, dial torque, dispense force, cap attachment force, cap removal force, needle shield removal force, injection time, activation force, blocking distance of a needle cover, needle extension, expelled volume, assembly force.

5. The method according to claim 1 , wherein

the at least one limit of the tolerance interval is an upper limit that is compared with an upper specification limit for the sample items in order to evaluate a production process, or

wherein the at least one limit is a lower limit that is compared with a lower specification limit for the sample items in order to evaluate a production process.

6. The method according to claim 1 , wherein the transformed probability content is calculated using the specified probability content and a value that is determined by or equal to an area of a truncated part of the probability distribution function or determined by or equal to the value of a cumulative distribution function of the probability distribution function considering the cutoff value,

wherein the truncated part is within a range that starts at minus infinity or at a corresponding value and that ends at the cutoff value or within a range that begins at the cutoff value and that ends at plus infinity or at a corresponding value.

7. The method according to claim 6 , wherein an actual probability content is calculated using the specified probability content, the cumulative distribution function of the probability distribution function, and the cutoff value.

8. The method according to claim 7 , wherein the transformed probability content is calculated by calculating a sum of the specified probability content and of a difference between the specified probability content and the actual probability content.

9. The method according to claim 7 , wherein the transformed probability content is calculated using the specified probability content and the actual probability content.

10. The method according to claim 9 , wherein the transformed probability content is used to calculate a tolerance limit factor that is used to calculate the at least one limit of the tolerance interval by using also at least one of the descriptive parameters of the probability distribution function.

11. The method according to claim 10 , wherein the tolerance limit factor is calculated for a one sided setting.

12. The method according to claim 11 , wherein the tolerance limit factor is calculated according to:

K _hat=1/sqrt( n ) t *_ n− 1;1-alpha(sqrt( n ) zP ),

wherein n is a natural number indicating the sample size, to_n−1; 1-alpha is the (1-α)-th quantile of a non-central t distribution with d degrees of freedom and non-centrality parameter delta, and zP is the P-th percentile of the standard normal distribution, wherein the transformed probability content is used for P,

and sqrt ( ) is the square root function.

13. The method according to claim 1 , wherein ISO 11608-1 Needle based injection systems for medical use—Requirements and test methods—Part 1 Needle based injection systems, 2014 or an earlier or later version thereof is met with regard to the calculation of the at least one limit of the tolerance interval.

14. A method for determining a limit of a tolerance interval, wherein a test is performed whether it is necessary to calculate a transformed probability content,

and wherein the method according to claim 1 is performed if a test equation is fulfilled,

and wherein the specified probability content is used for the calculation of the at least one limit of the tolerance interval but not the transformed probability content if the test equation is not fulfilled.

15. A method for evaluating a production process, comprising the method according to claim 1 ,

wherein the at least one limit of the tolerance interval is compared with a limit of a specification interval for production items that have the same construction as the sample items.

16. A non-transitory computer readable medium encoded with a computer program product, which, when executed on a controller or on a processor, carries out the following method steps:

providing a plurality of sample values, wherein the sample values fluctuate and define a sample value distribution, the sample values being values of a technical parameter related to sample items of a sample, wherein the sample items are parts of drug delivery devices, assemblies for drug delivery devices, or drug delivery devices, wherein the sample items are of the same construction, and wherein the technical parameter is limited by at least one technical limit value,

depending on the sample values, choosing a probability distribution function,

using the technical limit value to determine a cutoff value for the probability distribution function,

specifying a probability content for a tolerance interval, wherein a confidence level 1-α is used that specifies the probability that the tolerance interval that has to be estimated for the technical parameter will contain values of the technical parameters of at least a proportion of production items that is specified by the probability content,

wherein the value 1-α is the confidence level, and

wherein α is the statistical significance, and

providing at least one limit of the tolerance interval for the technical parameter based on a transformed probability content, wherein said transformed probability content is based on the cutoff value and based on the specified probability content,

using at least one limit of the tolerance interval to manufacture the drug delivery devices or the parts of drug delivery devices or the assemblies for drug delivery devices.

17. The non-transitory computer readable medium of claim 16 , wherein the transformed probability content is calculated using the specified probability content and a value that is determined by or equal to an area of a truncated part of the probability distribution function or determined by or equal to the value of a cumulative distribution function of the probability distribution function considering the cutoff value,

wherein the truncated part is within a range that starts at minus infinity or at a corresponding value and that ends at the cutoff value or within a range that begins at the cutoff value and that ends at plus infinity or at a corresponding value.

18. The non-transitory computer readable medium of claim 16 , wherein at least one descriptive parameter or at least two descriptive parameters of the sample values are calculated,

wherein at least one descriptive parameter is used or wherein at least two descriptive parameters are used to calculate the cutoff value of the probability distribution function.

19. The non-transitory computer readable medium of claim 16 , wherein

at least one limit of the tolerance interval is an upper limit that is compared with an upper specification limit for the sample items in order to evaluate a production process, or

wherein at least one limit is a lower limit that is compared with a lower specification limit for the sample items in order to evaluate a production process.

20. A calculation device, comprising:

a processor configured to execute instructions,

a memory that is configured to store the instructions and to store data that is used or generated during the execution of the instructions, and

the non-transitory computer readable medium according to claim 16 .

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (35)