A manufacturer of hospital supplies has a uniform annual demand for 320,000 boxes of bandages. It costs ​$10 to store one box of bandages for one year and $ 160 to set up the plant for production. How many times a year should the company produce boxes of bandages in order to minimize the total storage and setup​ costs?

To minimize the total storage and setup costs, we can use the Economic Order Quantity (EOQ) model. The EOQ formula is given as:

EOQ = √((2DS)/H),

where
D = annual demand (320,000 boxes),
S = setup cost ($160), and
H = holding cost per unit per year ($10).

Let's calculate the EOQ:

EOQ = √((2 * 320,000 * 160) / 10)
= √(10,240,000 / 10)
= √1,024,000
≈ 1,013.79

Rounding this to a whole number, we get an EOQ of 1,014 boxes.

The optimal number of times to produce bandage boxes in a year can be calculated using the formula:

Number of production batches = D / EOQ,

where D = annual demand (320,000 boxes).

Number of production batches = 320,000 / 1,014
≈ 315.81

Rounding to the nearest whole number, the company should produce bandage boxes around 316 times in a year to minimize the total storage and setup costs.

To determine the optimal production quantity that minimizes the total storage and setup costs, we can use the Economic Order Quantity (EOQ) model.

The EOQ formula is given by:
EOQ = √((2DS)/H)

Where:
D = Annual demand (320,000 boxes)
S = Setup cost per production run ($160)
H = Holding cost per unit per year ($10)

First, we calculate the EOQ:
EOQ = √((2 * 320,000 * 160) / 10)

Now, we can calculate the number of production runs per year:
Number of runs = D / EOQ
Number of runs = 320,000 / EOQ

To find the optimal number of times the company should produce boxes of bandages in a year, we need to determine the EOQ value and then calculate the number of runs.

Let's calculate it step by step:

Step 1: Calculate EOQ
EOQ = √((2 * 320,000 * 160) / 10)
EOQ = √(10,240,000 / 10)
EOQ = √1,024,000
EOQ ≈ 1,012

Step 2: Calculate the number of runs
Number of runs = 320,000 / 1,012
Number of runs ≈ 316

Therefore, the company should produce boxes of bandages approximately 316 times a year to minimize the total storage and setup costs.

Assume "store one year" means 365 box-days and not "a year or part thereof".

k=320000 boxes/year
= 320000/365 boxes/day
= 876.7 boxes/day

If supplies are produced every n days, then it must produce nk boxes at each production, and storage requirements are
P=(0+1+2+3+...n-1)k box-days for each production
=> P=(n/2)*(0+n-1)k=n(n-1)k/2 box-days/production

Over the whole year, there are 365/n productions, so total cost is
C(n)=160(365/n)+10(P/365)*(365/n)
=160*(365/n)+10(n-1)k/2

To minimize cost, C'(n)=0 =>
C'(n)=-58400/n²+5k=0 => n=3.65,
so to minimize cost the manufacturer must produce bandages
N=365/n=365/3.65=100 times a year, or every 3.65 days.
Check:
C(3)=28233.7899543379
C(3.65)=27616.43835616438
C(4)=27750.68493150684

So if production is every 4 days, it will cost $134 more than the optimum at 3.65 days which could be awkward to manage (overtime, shifts, etc.)