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CaHeK987 [17]
3 years ago
15

In general, improvements in technology that is used to produce a good will result in ___________.

Business
2 answers:
Sedaia [141]3 years ago
4 0

Answer:

first one

Explanation:

because I am a teacher and I know this

Karo-lina-s [1.5K]3 years ago
4 0
Life I’d good leidiekdx
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a good written goal for developing a system is B

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3 years ago
Recently, the only type of car available for Anthony to rent on a business trip was a compact, fuel-efficient Japanese import. A
natulia [17]

Answer:

a.

Explanation:

According to my research on purchasing decisions and factors, I can say that based on the information provided within the question this is an example of how experience can narrow a customer's perceptions of the value of a product's differentiated features. Since after having hands on experience with the compact, fuel-efficient Japanese import, Anthony began to realize that the Luxury SUV's "value" wasn't really there or "worth it" in his opinion.

I hope this answered your question. If you have any more questions feel free to ask away at Brainly.

7 0
3 years ago
Over the next several years, Sushil expects electric vehicles to impact revenues in the retail gas and oil unit of her firm. The
forsale [732]

Businesses owners will always think of opportunities, the expansion of electric vehicles will impact the economic dimension for Sushil's firm.

<h3>What is economic dimension of business?</h3>

It is the ability of businesses and firms both public and private sectors to implement profitable practices in their production processes.

This is done to increase the growth of the organization, improve the standard of living and increase the overall income generated.

Therefore, the expansion of electric vehicles will impact the economic dimension for Sushil's firm.

Learn more on business environment here,

brainly.com/question/17961245

5 0
3 years ago
STH hospital currently uses two types of surgical gloves (G1 and G2) for their healthcare workers. The annual demand for each is
Brilliant_brown [7]

Answer:

Answer to question a:

<u>Calculation for G1 : </u>

Mean annual demand og G1 gloves in STH Hospital = 5000

Variance of annual demand = 3000

Therefore, Variance of demand during lead time of 5 weeks =3000 x 5/52 = 15000/52

Hence standard deviation of demand during lead time of 5 weeks

= Square root ( 15000/ 52)

= 16.984

Service level = 97%

Corresponding Z value = NORMSINV ( 0.97) = 1.8807

Therefore, Safety stock = Zvalue x Standard deviation of demand during lead time

                                         = 1.8807 x 16.984

                                         = 31.94 ( 32 rounded to nearest whole number )

Reorder point

= Average weekly demand x Lead time ( weeks ) + safety stock

= 5000/52 x 5 + 32

= 480.77 + 32

= 512.77 ( 513 rounded to next higher whole number )

= 513

Calculation of Economic Order quantity:

Annual demand = D = 5000

Co = Ordering cost = $100

Ch = 20% of $3 = $0.6

Therefore, economic order quantity ( EOQ)

= Square root ( 2 x 100 x 5000/0.6)

= 1291

ECONOMIC ORDER QUANTITY = 1291

SAFETY STOCK = 32

REORDER POINT = 513

<u>Calculation for G2 : </u>

Mean annual demand = 8000

Variance of annual demand = 5000

Therefore, Variance of demand during lead time of 5 weeks =5000 x 5/52 = 25000/52

Hence standard deviation of demand during lead time of 5 weeks

= Square root ( 25000/52)

= 21.92

Service level = 97%

Corresponding Z value = NORMSINV ( 0.97) = 1.8807

Therefore, Safety stock = Zvalue x Standard deviation of demand during lead time

                                      = 1.8807 x 21.92

                                     = 41.22 ( 42 rounded to next higher whole number)

Reorder point

= Average weekly demand x Lead time ( weeks ) + safety stock

= 8000/52 x 5 + 32

= 769.23 + 32

= 801.23 ( 802 rounding to next higher whole number )

Calculation of Economic Order quantity:

Annual demand = D = 8000

Co = Ordering cost = $100

Ch = 20% of $3 = $0.6

Therefore, economic order quantity ( EOQ)

= Square root ( 2 x 100 x 8000/0.6)

= 1632.99 ( 1633 rounded to nearest whole number)

ECONOMIC ORDER QUANTITY = 1633

SAFETY STOCK = 42

REORDER POINT = 802

Answer to question b :

When demand for both gloves are pooled together ,

Mean demand of the combined types = 5000 + 8000 = 13,000

Variance of the annual demand for the combined types

= Variance of G1 + Variance of G2

= 3000 + 5000

= 8000

Hence, standard deviation of annual demand( 52 weeks ) for the combined types

= Square root ( 3000 + 5000)

= Square root ( 8,000)

= 89.44

Standard deviation of demand during lead time of 5 weeks for the combined type

= 89.44 x Square root ( 5/52) = 89.44 x 0.31 = 27.726

Service level = 97%

Hence corresponding Z value for above service level = NORMSINV ( 0.97) =1.8807

Hence , Safety stock

= Z value x Standard deviation of demand for the combined type

= 1.8807 x 27.726

= 52.14

= 53 ( by rounding to next higher whole number )

Reorder point

= Average weekly demand x Lead time ( weeks ) + safety stock

= ( 13000/52) x 5 + 53

= 250 x 5 + 53

= 1250 + 53

= 1303

Calculation of Economic Order quantity:

Annual demand = D = 13000

Co = Ordering cost = $100

Ch = 20% of $3 = $0.6

Therefore, economic order quantity ( EOQ)

= Square root ( 2 x Co x D / Ch)

= Square root ( 2 x 100 x 13000/0.6)

= 2081.66 ( 2082 rounded to next higher whole number )

ECONOMIC ORDER QUANTITY = 2082

SAFETY STOCK = 53

REORDER POINT = 1303

6 0
3 years ago
Asian Lamp Company manufactures lamps. The estimated number of lamp sales for the last three months for the current year are as
timofeeve [1]

Answer:

Asian Lamp Company

In going from the sales budget to the production budget, adjustments to the sales budget need to be made for

b. finished goods inventories.

Explanation:

a) Data and Calculations:

Sales Budget               October   November   December    January

Ending inventory            3,500         3,250          4,000

Estimated sales units   10,000        14,000        13,000         16,000

Units available for sale 13,500        17,250        17,000

Beginning inventory      3,000         3,500          3,250          4,000

Production units           10,500        13,750         13,750

5 0
3 years ago
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