Nothing

```
# (c) Kevin Dunn, 2018.
manufacture <- function(P=0.75, T=325){
# Simulates a manufacturing facility where there are 2 factors that affect the outcome.
#
# P = selling price of the product, measured in dollars and cents
# T = throughput (production rate) of the process, measured in parts per hour
#
# Typical values for P = $0.75 and T = 325 parts per hour.
#
# The outcome is: profit made per hour [dollars/hour]. The aim is to maximize this.
if ( (length(P) > 1) | (length(T) > 1)) {
stop("Running the manufacturing experiments in parallel is (intentionally) not allowed.")
}
if (!all(is.finite(P)) | !all(is.finite(T))){
stop("All function inputs must be finite numbers.")
} else if (P < 0) {
stop("Please provide a positive sales price, P.")
} else if (T < 0) {
stop("The throughput (parts per hour) must be a positive value.")
} else{
p_coded <- (P - 1.5) / 1.0
t_coded <- (T - 320.0) / 20.0
y <- (18.0 * t_coded + 10 * p_coded - 5 * t_coded * p_coded - 7 * t_coded * t_coded
- 24 * p_coded * p_coded + 50) * 12 + 2 * sin(T) + 2 * cos(P) + rnorm(1) * 2
y <- round(y)
}
return(y)
}
```

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