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Slav-nsk [51]
3 years ago
9

A manufacturer creates massive demand for its new plastic sandal and greatly increases its production level. Over time, its high

-volume production brought on by demand stimulation results in lower costs. This is an example ofa. inelasticity of demand. b. economies of scale.c. brand loyalty. d. symbolic value
Business
1 answer:
IRISSAK [1]3 years ago
4 0

Answer:

The answer is: Economies of scale

Explanation:

Economies of scale are the diminished cost by companies when production becomes efficient.  Companies can achieve economies of scale by increasing production and lowering costs. This happens because fixed costs are spread over a larger number of goods. There are implications in variable costs as well (for example in obtaining discounts by large purchases from suppliers). In general, the larger the scale, the more cost savings.

The cost per unit depends on how much the company produces. Larger companies can produce more by spreading the cost of production over a larger amount of goods. Specialization of labor and more integrated technology boost production volumes. Lower per-unit costs can come from bulk orders from suppliers, larger advertising buys, or lower cost of capital. Spreading internal function (for ex: accounting, information technology, and marketing) costs across more units produced and sold helps to reduce costs.

<u>The sustained increase in demand impacts on producers. Now they produced more units, being able to achieve economies of scale and the benefits previously described.  </u>

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Answer:

12.55 days

Explanation:

<em><u>Provided information </u></em>

Number of employees 2

Average production time=1.8 days

Standard deviation=2.7 days

Inter-arrival time= 1 day

Coefficient of variation= 1 day

Standard deviation of inter-arrival time= 1 day

The coefficient of variations

<u>Inter-arrival coefficient of variation </u>

C_{vi}=\frac {\sigma}{T} where \sigma is standard deviation of inter-arrival time, T is inter-arrival time and C_v is coefficient of variation of inter-arrival time

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<u>Production time coefficient of variation </u>

C_{vp}=\frac {2.7}{1.8}=1.5

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U=\frac {T}{n*T_i} where T is the time of production, n is number of employees, U is utilization, T_i is inter-arrival time

U=\frac {1.8}{2*1}=0.9

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T_e=(\frac {T}{n*T_i})*0.5(C_{vi}^{2}+C_{vp}^{2})*(\frac{U^{\sqrt{2(n+1)}-1}}{1-U})

Where T_e is expected average waiting time and the other symbols as already defined

Substituting 1.5 for C_{vp}, 1 for C_{vi}, 0.9 for U, 2 for n, 1 for T_iand 1.8 for T

T_e=(\frac {1.8}{2*1})*0.5(1^{2}+1.5^{2})*(\frac{0.9^{\sqrt{2(2+1)}-1}}{1-0.9})

T_e=0.9*1.625*8.583709=12.55367 days  and rounding off to 2 decimal places we obtain 12.55 days

Therefore, expected duration between order received and beginning of production is approximately 12.55 days

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