In: Statistics and Probability
Assume that due to some human resources problems, Frostburg Wires has to reduce the capacity of one of its four working stations by 1500 hours. Which working station can Frostburg Wires choose in order to minimize the impact of this change on its profit? USE EXCEL SOLVER
HERE IS ORGINIAL SCENARIO:
Decision Variables | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
W045C (A) | W023C (B) | W005X (C) | W007X (D) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2000 | 0 | 100 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Objective Function | Max 34a +30b+60c+ 25d | Profit Per Unit | $ 34 | $ 30 | $ 60 | $ 25 | $ 74,000 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Available Hours | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Constraints | 1a+2b+0c+1d<=4000 | Drawing | 1 | 2 | 0 | 1 | 2000 | <= | 4000 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1a+1b+4c+1d <=4200 | Extrusion | 1 | 1 | 4 | 1 | 2400 | <= | 4200 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1a+3b+0c+0d<=2000 | Winding | 1 | 3 | 0 | 0 | 2000 | <= | 2000 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1a+0b+3c+2d<=2300 | Packing | 1 | 0 | 3 | 2 | 2300 | <= | 2300 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Frostburg Wires produces four types of wires shown as W045C, W023C, W005X and W007X. To produce wire, 4 manufacturing stages, namely drawing, extrusion, winding and packaging is required. April orders for Frostburg Wires is as follows:
The cost of producing one unit of each product as well as its selling price is as follows:
Each product unit needs a certain amount of time (in hours) at each production stage as follows:
Plant capacity for each stage of production in terms of hours available is as follows:
Assume that Frostburg Wires can fulfill an order fully or partially. Having this information answer the following questions. |
the solution presented in the original scenario could not have been correct. The optimum quatity of W045C (A) to be produced as per the solution is 2000 to maximize the profit. But the order for W045C (A) is only 1400. You may not produce more than your order as you will not be able to sell it (the problem states that "Frostburg Wires can fulfill an order fully or partially", that means you can produce less than or equal to the order quantity , but no mention of more than the order. )
This is due to the missing constraints
The constraints on quatities A,B, C and D are needed, so that we do not produce more than the order
The model need to be restated as
Let a,b,c , d be the quantties to be produced of parts W045C , W023C, W005X, W007X respectively.
Maximize
s.t
We set up the excel as
which looks like
Set up the solver constraints using data-->solver
and get the profit maximizing solution as
the quatities at max profit of $71,600 is
W045C (A) | W023C (B) | W005X (C) | W007X (D) |
1400 | 200 | 300 | 0 |
Now we produce 1400 of W045C, thus meeting 100% of the order, and then we produce W005X and W023C
Now to the question
Frostburg Wires has to reduce the capacity of one of its four working stations by 1500 hours. Which working station can Frostburg Wires choose in order to minimize the impact of this change on its profit?
Let us look at the utilization of work stations for this solution
using the following portion
we can construct
Work station | Available Hours | Utilized Hours | Free Hours |
Drawing | 4,000 | 1800 | 2,200 |
Extrusion | 4,200 | 2800 | 1,400 |
Winding | 2,000 | 2000 | 0 |
Packaging | 2,300 | 2300 | 0 |
We see that Drawing stage has an excess capacity of 2,200 hours. That means Frostburg Wires can reduce the capacity of drawing by 1500 to 2500 hours and not impact the profit. They could also have split thsi reduction between Drawing and Extrusion but the result is the same as they are constrained by the lack of capacity in windinhg and packaging.
The new constraint are
The optimum solution remains the same