In: Operations Management
2. Find the optimal allocation of demand to production facilities for the data given in the following table. (Hint: Use the model for allocating demand to existing facilities. First, formulate the problem and then use Excel Solver to find the optimal results.)
| 
 Supply Location  | 
 Demand Location  | 
 Monthly Capacity (Ki)  | 
||
| 
 Production and Transportation Cost ($per unit)  | 
||||
| 
 1  | 
 2  | 
 3  | 
||
| 
 1  | 
 2.0  | 
 1.0  | 
 1.7  | 
 17,000  | 
| 
 2  | 
 0.9  | 
 2.0  | 
 1.3  | 
 20,000  | 
| 
 3  | 
 1.8  | 
 2.4  | 
 1.6  | 
 29,000  | 
| 
 Monthly Demand (Dj)  | 
 11,000  | 
 8,500  | 
 15,00  | 
Let the no. of units transported from Supply Location 1 to Demand location 1 be x11, Supply location 2 to Demand location 1 be x21 and so on.
Hence, we get total cost = 2.0*x11 + 1.0*x12 + 1.7*x13 + 0.9*x21 + 2.0*x22 + 1.3*x23 + 1.8*x31 + 2.4*x32 + 1.6*x33
We have to minimze this total cost
We get objective function as:
Minimize Total Cost = 2.0*x11 + 1.0*x12 + 1.7*x13 + 0.9*x21 + 2.0*x22 + 1.3*x23 + 1.8*x31 + 2.4*x32 + 1.6*x33
Total Supply = 17000 + 20000 + 29000 = 66000
Total Demand = 11000 + 8500 + 15000 = 34500
Since, total Demand < Total Supply, we will get "<=" constraint for Supply Constraint in Excel Solver
We get Supply Constraints as:
x11 + x12 + x13 <= 17000
x21 + x22 + x23 <= 20000
x31 + x32 + x33 <= 29000
We get Demand constraints as:
x11 + x21 + x31 = 11000
x12 + x22 + x32 = 8500
x13 + x23 + x33 = 15000
x11, x12, x13, x21, x22, x23, x31, x32, x33 >= 0............Non-negativity constraints as no. of units transported cannot be negative
We solve above problem in Excel using Excel solver as shown below:

The above solution in form of formulas along with Excel Solver extract is shown below for better understanding and reference:

The number of units transported is as per middle Variable Table shown above.
_______________________________________________________________________________________
In case of any doubt, please ask through the comment section before Upvote/downvote.