# Performance lawn equipment data base case study

Question: Elizabeth Burke wants to develop a model to more effectively plan production for the next year. Currently, PLE has a planned capacity of producing 9,100 mowers each month, which is approximately the average monthly demand over the previous year. However, looking at the unit sales figures for the previous year, she observed that the demand for mowers has a seasonal fluctuation, so with this “level” production strategy, there is overproduction in some months, resulting in excess inventory buildup, and underproduction in others, which may result in lost sales during peak demand periods. Ms. Burke explained that she could change the production rate by using planned overtime or undertime (producing more or less than the average monthly demand), but this incurs additional costs, although it may offset the cost of lost sales or of maintaining excess inventory. Consequently, she believes that the company can save a significant amount of money by optimizing the production plan. Ms. Burke saw a presentation at a conference about a similar model that another company used but didn’t fully understand the approach. The PowerPoint notes didn’t have all the details, but they did explain the variables and the types of constraints used in the model. She thought they would be helpful to you in implementing an optimization model. Here are the highlights from the presentation:

Variables:

Xt = planned production in period t

It = inventory held at the end of period t

Lt = number of lost sales incurred in period t

Ot = amount of overtime scheduled in period t

Ut = amount of undertime scheduled in period t

Rt = increase in production rate from period t – 1 to period t

Dt = decrease in production rate from period t – 1 to period t

Material balance constraint: Xt + It-1 – It + Lt = demand in month t

Overtime/undertime constraint: Ot – Ut = Xt – normal production capacity

Production rate-change constraint: Xt – Xt-1 = Rt – Dt

Ms. Burke also provided the following data and estimates for the next year: unit production cost = \$70.00; inventory-holding cost = \$1.40 per unit per month; lost sales cost = \$200 per unit; overtime cost = \$6.50 per unit; undertime cost = \$3.00 per unit; and production-rate-change cost = \$5.00 per unit, which applies to any increase or decrease in the production rate from the previous month. Initially, 900 units are expected to be in inventory at the beginning of January, and the production rate for the past December was 9,100 units. She believes that monthly demand will not change substantially from last year, so the mower unit sales figures for the last year in the Performance Lawn Equipment Database should be used for the monthly demand forecasts. Your task is to design a spreadsheet that provides detailed information on monthly production, inventory, lost sales, and the different cost categories and solve a linear optimization model for minimizing the total cost of meeting demand over the next year. Compare your solution with the level production strategy of producing 9,100 units each month. Interpret the Sensitivity Report and conduct an appropriate study of how the solution will be affected by changing the assumption of the lost sales costs. Summarize all your results in a report to Ms. Burke.

Instructions: Solve this from the Excel sheet I will give you and put all the answers in the excel file but on a blank page.! Also, explain how you got the answer. You can use a chart histogram, line graph or whatever way to show the answer just make sure it makes sense looks clear. Make sure to give your thoughts on what answer you got and why it’s right or why your answer makes sense. I will upload the excel sheet with all the data

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