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1. A pharmacy has determined that a healthy person should receive 70 units of proteins, 100 units of carbohydrates, and 20 units of fat daily. Given the six types of health food with their ingredients as shown in the table below, what blend of foods satisfies the requirements at minimum cost to the pharmacy? Create a mathematical model for this problem.

| Foods | Protein units | Carbohydrates units | Fat units | Cost per unit |
|-------|---------------|---------------------|-----------|---------------|
| A | 20 | 50 | 4 | 2 |
| B | 30 | 30 | 9 | 3 |
| C | 40 | 20 | 11 | 5 |
| D | 40 | 25 | 10 | 6 |
| E | 45 | 50 | 9 | 8 |
| F | 30 | 20 | 10 | 8 |

2. A local manufacturing firm produces four different metal products, each requiring machining, polishing, and assembling. The specific time requirements (in hours) for each product are as follows:

| Product | Machining (hours) | Polishing (hours) | Assembling (hours) |
|-----------|-------------------|-------------------|--------------------|
| I | 3 | 1 | 2 |
| II | 2 | 1 | 1 |
| III | 2 | 2 | 2 |
| IV | 4 | 3 | 1 |

The firm has available weekly: 480 hours of machining time, 400 hours of polishing time, and 400 hours of assembling time. The unit profits on the products are Birr 360, Birr 240, Birr 360, and Birr 480, respectively. The firm has a contract to provide 50 units of product I and 100 units of any combination of products II and III each week. Through other customers, the firm can sell as many units of products I, II, and III as it can produce, but only a maximum of 25 units of product IV. How many units of each product should the firm manufacture each week to meet all contractual obligations and maximize its total profit? Create a mathematical model for this problem. Assume unfinished pieces can be completed the following week.

3. A firm manufactures two products. The net profit on product 1 is Rupees 3 per unit, and Rupees 5 per unit on product 2. The manufacturing process involves two departments, D1 and D2. Each unit of product 1 requires processing for 1 minute at D1 and 3 minutes at D2; each unit of product 2 requires processing for 2 minutes at D1 and 2 minutes at D2. The machine time available per day is 860 minutes at D1 and 1200 minutes at D2. How much of product 1 and 2 should be produced daily to maximize total profit? Create a mathematical model for this problem.

4. Discuss a few areas for the application of quantitative analysis in your organization or an organization you are familiar with for decision-making.

5. Take the data of the output of your organization, summarize it with a tool (like a bar chart, pie chart, etc.), and discuss the result. Provide your opinion on how to improve the results in the future.

Answer :

Food Protein Units Carbohydrates units Fat Unit Cost per unit 40 20 11 15. Hence, option C is appropriate.

What are the Proteins?

The body is made up of protein, which may be found in almost every organ, tissue, and body part, including muscle, bone, skin, and hairHemoglobin, which carries oxygenated blood, as well as enzymes, which power a variety of chemicals reactions, are both produced as a result of it. You are made up of at least 10,000 distinct proteins, which also keep you staying away.

Large biomolecules as well as macromolecules known as proteins are made up of one or more extended chains of amino acids.

Large, intricate molecules known as proteins play a variety of vital functions in the body. The majority of their work is done inside cells, where they play a critical role in the development, maintenance, and regulation of the circulatory and respiratory systems. Hence, option C is correct.

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Rewritten by : Barada

Final answer:

For each of the three questions, a mathematical model can be created to solve the given problem. In question 1, the objective is to minimize the cost while meeting the nutritional requirements. In question 2, the objective is to maximize the total profit while meeting the production constraints. In question 3, the objective is to maximize the total profit while meeting the manufacturing time constraints.

Explanation:

Question 1:


To create a mathematical model for this problem, you will need to assign variables to the amounts of each food that is used. Let's say the amounts used for food A, B, C, D, E, and F are represented as x

A

, x

B

, x

C

, x

D

, x

E

, and x

F

respectively. The objective is to minimize the cost, so the cost function can be defined as C = 2x

A

+ 3x

B

+ 5x

C

+ 6x

D

+ 8x

E

+ 8x

F

. The constraints are: 20x

A

+ 30x

B

+ 40x

C

+ 40x

D

+ 45x

E

+ 30x

F

≥ 70 (protein requirement), 50x

A

+ 30x

B

+ 20x

C

+ 25x

D

+ 50x

E

+ 20x

F

≥ 100 (carbohydrates requirement), 4x

A

+ 9x

B

+ 11x

C

+ 10x

D

+ 9x

E

+ 10x

F

≥ 20 (fat requirement), x

A

, x

B

, x

C

, x

D

, x

E

, x

F

≥ 0 (non-negativity constraint). Solve this linear programming problem to find the values of x

A

, x

B

, x

C

, x

D

, x

E

, and x

F

.

Question 2:


To create a mathematical model for this problem, you will need to assign variables to the number of units of each product produced. Let's use x

I

, x

II

, x

III

, and x

IV

to represent the numbers of units of products I, II, III, and IV respectively. The objective is to maximize the total profit, so the objective function can be defined as P = 360x

I

+ 240x

II

+ 360x

III

+ 480x

IV

. The constraints are: 3x

I

+ 2x

II

+ 2x

III

+ 4x

IV

≤ 480 (machining time constraint), x

I

+ x

II

+ 2x

III

+ 3x

IV

≤ 400 (polishing time constraint), 2x

I

+ x

II

+ 2x

III

+ x

IV

≤ 400 (assembling time constraint), x

II

+ x

III

≤ 100 (distributor constraint), x

IV

≤ 25 (maximum units for product IV constraint), x

I

, x

II

, x

III

, x

IV

≥ 0 (non-negativity constraint). Solve this linear programming problem to find the values of x

I

, x

II

, x

III

, and x

IV

.

Question 3:


To create a mathematical model for this problem, let's use x

1

and x

2

to represent the number of units of product 1 and product 2 manufactured each day respectively. The objective is to maximize the profit, so the objective function could be written as Profit = 3x

1

+ 5x

2

. The constraints are: x

1

+ 2x

2

≤ 860 (machine time constraint at D1), 3x

1

+ 2x

2

≤ 1200 (machine time constraint at D2), x

1

, x

2

≥ 0 (non-negativity constraint). Solve this linear programming problem to find the values of x

1

and x

2

.

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