Question
upstudy study bank question image url

b. The mwanunchi manufacture company has two plants \( P_{1} \) and \( P_{2} \) which produces three types of product namely \( A, B \) and \( C \), the first plant can manuffucture one unit of \( A \), four units of \( B \) and four units of \( C \) at the cost of 400 /=per hour, the second plant can manufateture three units of A, five units of B and one unit of c at the cost of \( 600 /= \) per hour the company have received an order of 80 units of \( A, 230 \) units of B and 110 units of C. how many hours should be allowed to each plant in order to satisfy the order at the least cost?

Ask by Garza Vaughan. in Tanzania
Jan 05,2025

Real Tutor Solution

Tutor-Verified Answer

Answer

Allocate 41 3⁄7 hours to Plant P₁ and 12 6⁄7 hours to Plant P₂.

Solution

To determine the optimal number of hours each plant (\( P_1 \) and \( P_2 \)) should operate to meet the order at the least cost, we can formulate and solve a linear programming problem. ### **Given:** - **Plant \( P_1 \):** - Produces: - 1 unit of \( A \) per hour - 4 units of \( B \) per hour - 4 units of \( C \) per hour - Cost: \$400 per hour - **Plant \( P_2 \):** - Produces: - 3 units of \( A \) per hour - 5 units of \( B \) per hour - 1 unit of \( C \) per hour - Cost: \$600 per hour - **Order Requirements:** - 80 units of \( A \) - 230 units of \( B \) - 110 units of \( C \) ### **Variables:** - Let \( x \) be the number of hours Plant \( P_1 \) operates. - Let \( y \) be the number of hours Plant \( P_2 \) operates. ### **Objective:** Minimize the total cost: \[ \text{Minimize } Z = 400x + 600y \] ### **Constraints:** 1. **Product \( A \):** \[ x + 3y \geq 80 \] 2. **Product \( B \):** \[ 4x + 5y \geq 230 \] 3. **Product \( C \):** \[ 4x + y \geq 110 \] 4. **Non-negativity:** \[ x \geq 0, \quad y \geq 0 \] ### **Solution:** We solve the system of equations formed by the constraints to find the optimal \( x \) and \( y \). 1. **Intersection of Constraints for Products \( A \) and \( B \):** \[ \begin{cases} x + 3y = 80 \\ 4x + 5y = 230 \end{cases} \] Solving these, we get: \[ x = \frac{290}{7} \approx 41.42857 \text{ hours}, \quad y = \frac{90}{7} \approx 12.85714 \text{ hours} \] 2. **Verification of Constraints:** \[ \text{For Product } C: \] \[ 4\left(\frac{290}{7}\right) + \left(\frac{90}{7}\right) = \frac{1250}{7} \approx 178.57 \geq 110 \quad (\text{Satisfied}) \] 3. **Cost Calculation:** \[ Z = 400\left(\frac{290}{7}\right) + 600\left(\frac{90}{7}\right) = \frac{170000}{7} \approx 24285.71 \] This point \(\left(\frac{290}{7}, \frac{90}{7}\right)\) provides the minimal cost while satisfying all production requirements. ### **Conclusion:** To satisfy the order at the least cost, the company should allocate: - **Plant \( P_1 \):** \( \frac{290}{7} \) hours (approximately **41 3⁄7 hours**) - **Plant \( P_2 \):** \( \frac{90}{7} \) hours (approximately **12 6⁄7 hours**) These allocations ensure that all product requirements are met while minimizing the total operational cost. **Answer:** Allocate 41 3⁄7 hours to Plant P₁ and 12 6⁄7 hours to Plant P₂. That is,  P₁ operates for 41 3/7 hours and P₂ for 12 6/7 hours.

Reviewed and approved by the UpStudy tutoring team

error msg
Explain
Simplify this solution

Bonus Knowledge

To solve this problem, you can use a linear programming approach. First, define your variables: let \( x \) be the hours allocated to Plant \( P_1 \) and \( y \) be the hours allocated to Plant \( P_2 \). You then set up your constraints based on production capabilities. 1. For Product \( A \): \[ x + 3y \geq 80 \] 2. For Product \( B \): \[ 4x + 5y \geq 230 \] 3. For Product \( C \): \[ 4x + y \geq 110 \] Next, you need to create an objective function to minimize the total cost: \[ \text{Cost} = 400x + 600y \] You can then solve this system of inequalities using a method like the Simplex method, or graphically if you're familiar with that approach. The optimal values of \( x \) and \( y \) will tell you how many hours to allocate to each plant to fulfill the order at the least cost. Now onto the fun facts! The introduction of linear programming dates back to the 1940s during World War II, where it played a crucial role in solving logistics problems for the military. It dramatically optimized resource allocation and has since permeated industries worldwide — from agriculture to finance! If you want to dive deeper, check out the book "Linear Programming: Foundations and Extensions" by Robert J. Vanderbei. It offers a comprehensive look into the concepts, methods, and practical applications of linear programming in various fields, making it a must-read for enthusiasts and professionals alike.

Try Premium now!
Try Premium and ask Thoth AI unlimited math questions now!
Maybe later Go Premium
Study can be a real struggle
Why not UpStudy it?
Select your plan below
Premium

You can enjoy

Start now
  • Step-by-step explanations
  • 24/7 expert live tutors
  • Unlimited number of questions
  • No interruptions
  • Full access to Answer and Solution
  • Full Access to PDF Chat, UpStudy Chat, Browsing Chat
Basic

Totally free but limited

  • Limited Solution
Welcome to UpStudy!
Please sign in to continue the Thoth AI Chat journey
Continue with Email
Or continue with
By clicking “Sign in”, you agree to our Terms of Use & Privacy Policy