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Hitman42 [59]
3 years ago
8

An agent that represents a cluster of manufacturers, e-tailers, and content providers organized around a life event or major ass

et purchase is known as a_________________.
Business
1 answer:
MrRissso [65]3 years ago
6 0

Answer:

correct answer is Metamediary

Explanation:

solution  

answer is  Metamediary because Metamediary is a person or a business that helps to the consumer for obtaining the goods and service by the supplier within the metamarket  

and it also offers you to service like as advice of business and financing and provide content to the organized in any asset  

so here the correct answer is Metamediary

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What is the best definition of a conclusion?​
vfiekz [6]

Answer:

<em>The</em><em> </em><em>best</em><em> </em><em>definition</em><em> </em><em>for</em><em> </em><em>conclusion</em><em> </em><em>is</em><em>.</em><em>.</em><em>.</em><em>.</em><em> </em><em>the</em><em> </em><em>end</em><em> </em><em>if</em><em> </em><em>if</em><em> </em><em>something</em><em> </em><em>or</em><em> </em><em>it</em><em> </em><em>i</em><em>s</em><em> </em><em>about</em><em> </em><em>to</em><em> </em><em>end</em>

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5 0
3 years ago
Consider the following linear program: Min s.t. 8X + 12Y 1X + 3Y &gt;= 9 2X + 2Y &gt;= 10 6X + 2Y &gt;= 18 A, B &gt;= 0 a. Use t
mihalych1998 [28]

Answer: Graph of (A) (B) and {D) are attached accordingly.

Explanation:

A)

The critical region of the constraints can be seen in the following diagram -

(0,9) (0,5) (0,3) (0,0) (3,0) (5,0) (9,0) The feasible region is shown in white

The intersection points are found by using these equations -

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 48

(9,0) x+3y = 9; y = 0 72

(2,3) 2x+2y = 10; 6x+2y = 18 52

(0,9) 6x+2y = 18; x = 0 108

So, we can see the minimum value of the objective function occurs at point (3,2) and the minimum value of the objective function is = 48.

------------------------------------------------------------------------------------------------------------------------------------------------------------------

B)

When we change the coefficients of the variables in the objective function, the optimal solution may or may not change as the weights (coefficient) are different for each constraints for both the variabls. So, it all depends on the coefficient of the variables in the constraints.

In this case, the optimal solution does not change on changing the coefficient of X from 8 to 6 in the objective function.

The critical region would remain same (as shown below) as it is defined by the constraints and not the objective function.

(0,9) (0,5) (0,3) (0,0) (3,0) (5,0) (9,0) The feasible region is shown in white

However, the optimal value of the objective function would change as shown below-

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 42

(9,0) x+3y = 9; y = 0 54

(2,3) 2x+2y = 10; 6x+2y = 18 48

(0,9) 6x+2y = 18; x = 0 108

So, we can see that the minimum value now has become 42 (which had to change obviously).

-------------------------------------------------------------------------------------------------------------------------------------------------------

C)

Now, when we change the coefficient of the variable Y from 12 to 6, again the critical region would remain same as earlier. But in this case, the optimal solution changes as shown below -

Vertex Lines Through Vertex Value of Objective

(3,2) x+3y = 9; 2x+2y = 10 36

(9,0) x+3y = 9; y = 0 72

(2,3) 2x+2y = 10; 6x+2y = 18 34

(0,9) 6x+2y = 18; x = 0 54

We can see that the minimum value now occurs at (2,3) which is 34, so both the optimal solution and optimal value have changed in this case.

----------------------------------------------------------------------------------------------------------------------------------------------------------

D)

When we limit the range of the variables as -

4 \leq X \leq 8 \:\: and\:\: 12\leq Y \leq 24,

the critical region now becomes -

So, the new critical points are (4,12), (4,24), (8,24) and (8,12).

So, the values of the objective function at these points can be calculated as -

Vertex Value of Objective

(4,12) 8*4+12*12 = 176

(4,24) 8*4+12*24 = 320

(8,24) 8*8+12*24 = 352

(8,12) 8*8+12*12 = 208

So, the new optimal solution is (4,12) and the optimal value is 176.

if we knew the range of the variables in the part B and C earlier, we could have just said that the optimal solution will not change as the value would have been no longer depended on the coefficients of variables in the constraints.

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Businesses which have gone bankrupt recently
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__________ marketing involves developing a unique mix of goods and services for each individual customer.
AlladinOne [14]

One-to-one marketing involves developing a unique mix of goods and services for each individual customer.

What is One-to-one marketing?

  • Personalized marketing, also referred to as one-to-one marketing or individual marketing, may be a marketing strategy by which companies leverage digital technology and data analysis to deliver individualized messages and product offerings to current or prospective customers.
  • Advancements in data collection methods, analytics, digital electronics, and digital economics, have enabled marketers to deploy simpler real-time and prolonged customer experience personalization tactics.
  • Personalized marketing depends on many different types of technology for data collection, data classification, data analysis, data transfer, and data scalability.
  • Technology enables marketing professionals to gather first-party data such as gender, age group, location, and income and connect them with third-party data like click-through rates of online banner ads and social media participation

To learn more about One-to-one marketing: brainly.com/question/6189389

#SPJ4

6 0
1 year ago
LAS1. A city government spends $1,860,000 a month on public services. Of that amount,46 percent is used for fire and police prot
Nookie1986 [14]

Explanation:

The computation is shown below:

(A) For amount spent by the city in a year for fire and police protection is

= $1,860,000 × 0.46%

= $855,600

(B) For amount spent yearly  for fire and police protection is

= $855,600 × 12 months

= $10,267,200

(A) The percentage of public employees is

Percentage of public employees = (Public employees ÷ Total employed workers) × 100

= (18,000 ÷ 90,000) × 100%

= 20%

(B) Now for federal government employ percentage

= (Federal government employees ÷ Public employees) × 100

= (6,000 ÷ 18,000) × 100%

= 33.33%

8 0
3 years ago
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