Question: Your task i s t o design a spreadsheet that provides detailed information o n monthly production, inventory, lost sales, and the different cost categories

Your task isto 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 toMs. Burke.
Elizabeth Burke wants to develop a model to more effec-
tively 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 pro-
duction rate by using planned overtime or undertime (pro-
ducing more or less than the average monthly demand),
but this incurs additional costs, although it may offset the
costof lost sales orof maintaining excess inventory. Con-
sequently, she believes that the company can save a signif-
icant 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 optimiza-
tion 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
Overtimeundertime 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
tobein inventory at the beginning of January, and the pro-
duction rate for the past December was 9,100 units. She
believes that monthly demand will not change substan-
tially 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 isto 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 toMs. Burke. January 7080
February 9250
March 10025
April 11006
May 11442
June 12086
July 11474
August 9505
September 8631
Ottober 7443
November 6451
December 5650

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