In: Operations Management
Klein Chemicals, Inc., produces a special oil-based material
that is currently in short supply. Four of Klein’s customers have
already placed orders that together exceed the combined capacity of
Klein’s two plants. Klein’s management faces the problem of
deciding how many units it should supply to each customer. Because
the four customers are in different industries, different prices
can be charged because of the various industry pricing structures.
However, slightly different production costs at the two plants and
varying
transportation costs between the plants and customers make a “sell
to the highest bidder
strategy unacceptable. After considering price, production
costs, and transportation costs, Klein established the following
profit per unit for each plant–customer alternative:
Customer
plant D1 D2 D3 D4
Clifton Springs $32 $34 $32 $40
Danville $34 $30 $28 $38
The plant capacities and customer orders are as follows:
plant Capacity (units) distributor Orders (units)
Clifton Springs 5000 D1 2000
D2 5000
Danville 3000 D3 3000
D4 2000
How many units should each plant produce for each customer to maximize profits? Which customer demands will not be met? Show your network model and linear programming formulation.
I need every step in excel especially solver
The excel solution begins with creating the spreadsheet. Use a model as shown below. This may be slightly different (looks wise) on Windows computer.
The formulas for the spreadsheet is shown below. The above table is the information provided. The table below is the transportation table where decision variables are calculated.
Open the solver window and use the following formulas. Solver window is available under data tab. On windows, you may need to activate the solver plug-in.
The result is shown below. The second table shows the ideal transportation plan to maximize profit. The customer D2 and D3 will not get their complete orders.