Answer:
a. The optimal batch size, Q * is Economic order quantity (EOQ)
Annual demand = 1,200 toys
Cost of each toy =$9
Fixed cost starts up the manufacturing process (S) = $150/batch
Inventory carrying cost (H) = 20% of the cost of the toy, per year
Inventory carrying cost (H) = 20% *$9 per unit
Inventory carrying cost (H) = $1.80 per Toy per year
EOQ = Q* = √ (2 * Annual Demand *fixed processing cost/ Inventory carrying cost)
EOQ = √ (2 * 1,200 *$150 / $1.80)
EOQ = Q* = 447.21
EOQ = Q* = 447 toys
The optimal batch size is 447 toys
Number of orders per year, on average, if it will start up the manufacturing process
= Annual demand / EOQ
= 1,200 / 447
= 2.68 times per year
b. Annual demand = 1200 toys
Cost of each toy =$7.5 (assume that batch size is more than 400)
Fixed cost starts up the manufacturing process (S) = $150/batch
Inventory carrying cost (H) = 20% of the cost of the toy, per year
Inventory carrying cost (H) = 20% *$7.5 per unit
Inventory carrying cost (H) = $1.50 per Toy per year
EOQ = Q* = √ (2 * Annual Demand *fixed processing cost/ Inventory carrying cost)
EOQ = √ (2 * 1,200 *$150 / $1.50)
EOQ = Q* = 489.90
EOQ = Q* = 490 toys
The optimal batch size is 490 toys.