Consider a retailer's inventory problem over multiple time periods. Assume the per-unit holding cost is $10 and the per-unit backlogging cost is $30. Demand in every time period is normally distributed with mean 100 and standard deviation 10. The beginning inventory of period 1 is equal to 100. Assume every order placed at the end of each period will arrive at the beginning of the next period. The goal is to build the Excel-based Monte Carlo simulation spreadsheet to test the optimal inventory ordering policy that minimizes the total holding and backlogging costs in expectation.

1. provide the formulas for the fields below

Time period	Beginning inventory	Demand	Ending inventory	Order quantity	Holding Cost	Backlogging Cost	Total cost in each period
1	100	?	?	?	?	?