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This report covers the following topics:
A monthly production schedule/plan for two machines working independently for the months of June, July, and August.
Evaluation and consideration of a product mix that contributes to the firm’s cost-cutting agenda
An analysis of what might happen if machine working hours vary.
Future estimates and actions to ensure that activities continue to run smoothly
Introduction\Background
Mojo Plastics Company sought our professional guidance on a specific line of manufacturing in wastepaper bins due to our skill and dependability at C.A. Head Management Consultants.
Data and information that are available
Information supplied relates to the following:
The two types of wastepaper bins dealt in (Style 12 and Style 20) together with their selling prices per unit
Monthly demand schedules to be delivered timely
Limitations/constraints pertaining:
Maximum working hours allocated to each machine per month
Storage space shortage in the company premises
Cost aspects of cost including labor, supervision and overheads, material costs, packaging and transportation as well as storage costs
Calculations involved
For the two types of wastepaper bins, data on production schedules will be shown in tables. This data will be part (not whole) of computations in the appendices. Suggested solutions and courses of action will be together with the answer and sensitivity analysis.
Results and recommendations
From our analysis, recommendation on the production schedule for the three months is shown in the tables below:
Optimal production from excel
JUNE
Style 19
Style 20
Hours utilized
Avis
3000
2000
650
Burns
4000
3000
1250
Total
7000
5000
1900
Required
3000
2000
Excess
4000
3000
Table 1: Production June
JULY
Style 19
Style 20
Hours utilized
Avis
1000
1000
250
Burns
1000
2000
500
June Excess
4000
3000
Total
6000
6000
6000
Required
5000
4000
Excess
1000
2000
Table 2: Production July
AUGUST
Style 19
Style 20
Hours utilized
Avis
1000
6000
750
Burns
1500
0
300
July Excess
1000
2000
Total
3500
8000
1050
Required
2000
5000
Excess
1500
3000
Table 3: Production August
For, the above data, it can be seen that:
In the month of June, the optimum production was at 12000 wastepaper bins. Out of this, 7000 were Style 19 and 5000 Style 20. The total number of hours utilized for both machines was 1950 instead of 2100. This saved the cost of using 150 hours though the demand was met.
Excess production of 7000 (4000 style 19 and 3000 style 20) bins in June is to be stored during the month of July.
Production in the month of July is 2000 and 3000 bins for Style 19 and style 20 respectively. With this figures, a demand of 5000 and 4000 of the respective bin types will be met using part of the excess production from June.
The month of July records an excess of 1000 Style 19 and 2000 Style 20 bins. The production of 2500 and 6000 bins of respective styles causes a total excess of 4500 bins (1500 style 19 and 3000 style 20).
Cost minimization
The costs associated with labor, supervision and overheads can be cut by producing at a slightly lower level than shown in the tables. Tables consider so much the utilization of full capacity of the machines in terms of the number of hours available. Using a lesser number of hours than available does not mean failure to meet deliveries. For example in June, excess production of 7000 bins was achieved when 150 hours was spared. This spared capacity saves labor and related costs. Subsequent month can adopt the same strategy. Please feel free to engage me to discuss more on how lower production levels can be used to save on costs.
Storage costs accrue as more production is done. Mojo Plastics Company should be reluctant to produce at their highest during this summer since most of their space will be occupied by the raw materials. Hiring space in warehouses and other public storage places is an additional cost to the firm.
Sensitivity analysis
Changes in contribution
Contribution to profit per unit may change due to changing costs of production. Though this may not affect the product mix of your firm, you may consider adjusting the price, which s not binding, as may be allowed by your scope to decrease or increase considerably.
Change in sales volume
We strongly advise you to maintain sales at minimum or at the demanded levels to avoid the risky aspects of a high price shadow.
Change in storage costs
Should production rise to levels beyond 2500 style 19 and 1500 style 20 bins in July, the firm should start experiencing diseconomies from hiring more space at a cost of $0.10 per bin every month.
Appendices
Answer report 1
Microsoft Excel 16.0 Answer Report
Worksheet: [assessment.xlsx]assessment
Report Created: 01/10/2017 18:08:26
Result: Solver found a solution. All Constraints and optimality conditions are satisfied.
Solver Engine
Engine: Simplex LP
Solution Time: 0.016 Seconds.
Iterations: 16 Sub-problems: 0
Solver Options
Max Time Unlimited, Iterations Unlimited, Precision 0.000001, Use Automatic Scaling
Max Sub-problems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%, Assume Non-Negative
Objective Cell (Min)
Cell
Name
Original Value
Final Value
$H$9
Operating costs (labour+storage)
28200
14900
Variable Cells
Cell
Name
Original Value
Final Value
Integer
$C$29
S19AJun
3000
2333.333333
Contin
$D$29
S20AJun
3000
3500
Contin
$E$29
S19BJun
3000
3166.666667
Contin
$F$29
S20BJun
3000
0
Contin
$G$29
S19AJuly
3000
0
Contin
$H$29
S20AJuly
3000
2500
Contin
$I$29
S19BJuly
3000
2500
Contin
$J$29
S20BJuly
3000
0
Contin
$K$29
S19AAug
3000
1666.666667
Contin
$L$29
S20AAug
3000
5000
Contin
$M$29
S19BAug
3000
333.3333333
Contin
$N$29
S20BAug
3000
0
Contin
$D$33
S19July
3000
2500
Contin
$E$33
S20July
3000
1500
Contin
$F$33
S19Aug
3000
0
Contin
$G$33
S20Aug
3000
0
Contin
Constraints
Cell
Name
Cell Value
Formula
Status
Slack
$H$20
Moulding Machine Hours Avis June
700
$H$20
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