A newbieÂ’s first task in C - Questions

[shloa4]

Hello everyone.
So I’m a newbie in the C-programming business and this is my first task with questions that I have. This is the practical task:

A factory in an industrial zone produces 1,000 devices daily to local consumption (statewide and export). Given that 0.05% of the devices manufactured in the factory are disqualified during quality tests, disassembled and their parts are recycled, write a #C program that calculates how many normal devices can be supplied daily for local distribution and export, and how many devices are disassembled after disqualification.

So that's my program, but I canÂ’t get it right, both in terms of the numbers and in terms of half a device that will be calculated as one whole device. So how should I fine-tune the code to get everything done properly?

#include<stdio.h>
void main()
{
    int x,y,z;
    x = 1000; y = 1000 * 0.0005; z = x - y;
        printf("Proper devices that can be supplied daily for distribution and export: %d \n", &z);
        printf("Disqualified devices (for disassembly): %d", &y);
}

Thanks in advance for the help.

[stahta01]

"printf" is an output function; I have no idea if you mean to do output or input.
If input the "&z" is correct and printf is wrong. If output you need to use "z" instead; and, the printf is correct.

Lookup the double type which is used for floating point numbers.

Tim S.

[Salem]

Try compiling with some warnings.

$ gcc -Wall main.c
main.c:2:6: warning: return type of ‘main’ is not ‘int’ [-Wmain]
 void main()
      ^
main.c: In function ‘main’:
main.c:6:16: warning: format ‘%d’ expects argument of type ‘int’, but argument 2 has type ‘int *’ [-Wformat=]
         printf("Proper devices that can be supplied daily for distribution and export: %d \n", &z);
                ^
main.c:7:16: warning: format ‘%d’ expects argument of type ‘int’, but argument 2 has type ‘int *’ [-Wformat=]
         printf("Disqualified devices (for disassembly): %d", &y);
                ^

[thmm]

I would be better to use constants and and proper names like:

#define NUM_DEVICES      1000
#define NUM_DISQUALIFIED 0.0005

[rusyoldguy]

Hi shloa4!

It sounds like working with the normal distribution. In Europe the control limits are by 99 Percent(2.575829 sigma), the warning limits are by
95 percent(1.95996398 simga) distance to µ(average). In USA the warning limits are by 95,44 percent (exactly 2 sigma), the control limits
by 99.97 percent(3 sigma). From the lower control limit to the upper control limit there are in Europe (like Germany) a distance of about
5.151658 simga. Sigma is the standard deviation of a population. With the values like in Europe(FRG) you have exactly 10000 parts per million
where are rejects.
With the values like in USA you have 2699.796 parts per million rejects That is a difference of 7300 parts. For example.

Better you use double instead of int. I think to control yourself may be you can use my old Files where i wrote as a retrainee to
a skilled worker for quality assurance.

You can find it on a german webside:

Infos - LibreOffice-Forum


I hope you can use it to control your programs and it is not do difficult that it is in german language to translate it to english.

By +- 1.96 sigma there are about 50000 parts outside this limits.


An easy formula to calculate the CPK value where are need it to get limits is followed by those examples:

1.96 sigma includes 95 % and a CPK value of 0.65 (about 2/3)
1.575829 sigma includes 99 % and a CPK value of 0.65 (about 0.86)
3 sigma includes 99.73 % and a CPK value of 1 (about 3/3)
4 sigma includes 99.994 % and a CPK value of 1.33333 (about 4/3)
5 sigma includes 99.99994 % and a CPK value of 1.67 (about 5/3)
6 sigma includes 99.9999998 % and a CPK value of 2 (about 6/3)

To calculate the number of the parts per million it is useful ti work with the normal distribution.
Some sources where i found in web i gathered it at

Ressource - Kleine Sammlung von Tools fur Statistik(geplagte) | dev-community.de

Sorry, is in german too. I hop you can use it even so.
There are sources like functions for excel like NORMDIST, NORMINV, CHIVERT, CHIINV, KONFIDECE for c and cpp.
The size of a random sample for control parts depends from the size of a population and the Acceptable Quality Level(AQL).
After you get the size of random example, get the acceptance number and rejection number.

It is useful to work with Shewhart Process control charts.