Answer:
How to Manage Manufacturing Operations Effectively
Ensure High-Quality Products. ...
Ensure High-Quality Equipment. ...
Know How To Maximize Resources. ...
Look Into Technological Advancements. ...
Check Your Customer Service. ...
Consider Reducing Waste. ...
Conclusion.
Explanation:
Possible Answers:
- Medicemanto - Medicine, especially applied.
- Ingeniería - Engineering. Modern scientific engineering is making use of technology to help solve problems and understand cause and effects.
- Comunicación - Communication. Public broadcasting to raise awareness of environmental or other scientific concerns.
Answer:
#include <string>
#include <iostream>
using namespace std;
int main() {
string userInput;
getline(cin, userInput);
// Here, an integer variable is declared to find that the user entered string consist of word darn or not
int isPresent = userInput.find("darn");
if (isPresent > 0){
cout << "Censored" << endl;
// Solution starts here
else
{
cout << userInput << endl;
}
// End of solution
return 0;
}
// End of Program
The proposed solution added an else statement to the code
This will enable the program to print the userInput if userInput doesn't contain the word darn
Answer:
See attachment for flowchart
Explanation:
The flowchart is represented by the following algorithm:
1. Start
2. Input Mass
3. Input Volume
4 Density = Mass/Volume
5. Print Density
6. Stop
The flowchart is explained by the algorithm above.
It starts by accepting input for Mass
Then it accepts input for Volume
Step 4 of the flowchart/algorithm calculated the Density using the following formula: Density = Mass/Volume
Step 5 prints the calculated Density
The flowchart stops execution afterwards
Note that the flowchart assumes that the user input is of number type (integer, float, double, etc.)
Answer:
The answer is "using validation error".
Explanation:
The validation error is used to response the test for one of the queries is activated to the participant, which may not properly answer the question. These errors go up continuously after each time, the processing rate is too high and also the method is different.
- These errors are also unless to increase when they are actually in the problem.
- The training level will be that, if the learning error may not increase when the model overrides the learning set and you should stop practicing.
