In: Operations Management
[P3](15pts) A manufacturing plant determines how many units of standard toys and luxury toys to produce using the available machines. The first machine has the capacity to produce 300 standard toys, or 250 luxury toys per hour. The second machine can produce 400 standard toys, or 100 luxury toys. (i.e. it takes 1/400 of an hour to produce a single standard toy, and 1/100 of an hour to produce a single luxury toy from machine 2). Regular toys sell for $50 and costs $20 per item, and luxury toys sell for $120 and costs $45 per item to produce. How would you determine the production schedule to maximize profit? Formulate the problem, do not solve. (for this problem only, assume you can sell all you produce)
Formulating the linear programming problem given.
Decision variables
Xij is number of units of toys to be produced per hour
where i =1 or 2 depending upon whether toy is produced from first machine or second machine
j = 1 or 2 depending upon whether standard toys or luxury toys are produced
X11 = Number of standard toys produced in first machine
X12= Number of luxury toys produced in first machine
X21= Number of standard toys produced in second machine
X22= Number of luxury toys produced in second machine
Objective function
Objective is to maximize profit. Profit = Total Sales - Total cost
Profit for Standard toys = ($50-$20)*Total number of standard toys = $30 * (X11 + X21)
Profit for Luxury toys = ($120-$45)*Total number of luxury toys = $75 * (X12 + X22)
Total profit = $30 * (X11 + X21) + $75 * (X12 + X22)
MAX $30 * (X11 + X21) + $75 * (X12 + X22)
Constraints
Non-negative constraints
Xij> = 0 ;
X11 >= 0 ;
X12 >= 0;
X21>= 0 ;
X22>= 0
Capacity constraints
First machine: (1/300)*X11 + (1/250)*X12 <= 1
Second machine: (1/400)*X21+ (1/100)*X22 <= 1
(Note that LP formulation is based on an hour capacity and toys to be produced, this can be changed based on the actual available capacity)
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