I am looking back on topic four when I talked about the company that I owned. In that example I used the linear program model to determine the number of employees needed as well as the stock to have on hand. Linear programing can be defined by the development of a mathematical model to help develop the most optimal solution for a problem that has given constraints (INtroductory guide on linear programming for aspiring data scientists, 2017), In using a simulation model could work for the situation of determining both the staffing and inventory as well. The simulation is when there is an uncertain random sampling of values which are computed to present potential outcomes (Anderson, 2016).

In the case of my company, I think that using the simulation model would have been very successful as most times there was only a need for one person to do the majority of the work and the only time that additional people were needed was during holidays when mailing where higher and being hand written additional support would have been needed this could have been done through the what-if simulation. For the inventory, the inventory simulation can be used by looking at the posting increase in a clients database.

Do you agree with my post. Please explain.