A convenience store needs to make a decision of how many packages of California rolls prepare for tomorrow. A package of California rolls cost the store $2.00 and it sells for $6.00. Daily demand is normally distributed with a mean of 100 packages of California rolls and a standard deviation of 40 packages of California rolls. If there are leftovers at the end of the day, the store donates them. Develop a R model that simulates the daily profit resulting from the preparation of 50, 75, 100, 120, 140, 160 packages of California rolls in a day (run them one at a time). Of these 6 options, which option maximizes the expected profit?

Can I please have a individual model the allows me to see the profit of each preparation amount individually and then pick the max profit visually after running it one of at a time?