Can you solve this week's production cost optimization problem?

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In summary, production cost optimization is the process of minimizing the cost of manufacturing a product while maintaining or improving its quality. This is achieved through analyzing the production process, identifying areas for improvement, and implementing strategies such as streamlining processes, reducing waste, and negotiating better prices with suppliers. The success of a production cost optimization strategy can be measured in terms of cost savings, efficiency, and profitability. However, challenges may arise such as resistance to change, difficulty in implementing new technologies, and potential disruptions to the production process. Clear communication and a solid plan can help minimize these challenges.
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Chris L T521
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Thanks to those who participated in last week's POTW! Here's this week's problem!

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Problem: A company incurs costs of $C(x,y)=5x^2+2xy+3y^2+800$ (in thousands of dollars) when it produces $x$ thousand units of one product and $y$ thousand units of another. Its production capacity is such that $x+y=39$. At what production levels will the company's costs be minimized? What will be the corresponding total cost?

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Suggestion:

Solve this using the method of Lagrange multipliers.

 
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This week's problem was correctly answered by Ackbach, Bacterius, BAdhi, MarkFL, and Sudharaka. MarkFL showed it using Lagrange multipliers (and regular algebra), Sudharaka showed it using Lagrange multipliers as well, and everyone else used single variable calculus. You can find MarkFL's answer below (for the Lagrange multiplier and algebra solution):

We are given the objective function:

$\displaystyle C(x,y)=5x^2+2xy+3y^2+800$subject to the constraint:$\displaystyle g(x,y)=x+y-39=0$Using the theorem of Lagrange, we obtain the system:(1) $\displaystyle 10x+2y=\lambda$(2) $\displaystyle 2x+6y=\lambda$These equations imply:$\displaystyle y=2x$Substituting for $\displaystyle y$ into the constraint, there results:$\displaystyle x=13\,\therefore\,y=26$Hence, the minimum cost in thousands of dollars at the given production level is:$\displaystyle C(13,26)=4349$Alternate solution without calculus:Substitute for $\displaystyle y$ using the constraint into the objective function to obtain:$\displaystyle C(x)=6x^2-156x+5363$The minimum point, i.e., the vertex, lies on the axis of symmetry, given by:$\displaystyle x=-\frac{-156}{12}=13$Hence, the minimum cost in thousands of dollars at the given production level is:$\displaystyle C(13)=4349$

Here's Bacterius' solution using single variable calculus:

As $x + y = 39$, there is only one degree of freedom, so the cost can be rewritten in a single variable:

$C(x, y) = C(x) = 5x^2 + 2x(39 - x) + 3(39 - x)^2 + 800 = 6x^2 - 156x + 5363$Which is minimized by:$C'(x) = 12x - 156 \implies x = 13 \iff y = 26$Hence the production levels which minimize the company's costs are $x = 13$ and $y = 26$, with a total cost of $C(13, 26) = 4349$ (thousands of dollars).
 
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FAQ: Can you solve this week's production cost optimization problem?

What is the goal of production cost optimization?

The goal of production cost optimization is to minimize the cost of manufacturing a product while maintaining or improving its quality. This involves identifying and implementing strategies to reduce expenses, increase efficiency, and maximize resources.

How do you identify areas for cost optimization in production?

The first step in identifying areas for cost optimization is to conduct a thorough analysis of the production process. This may involve looking at data on material and labor costs, identifying bottlenecks or inefficiencies, and evaluating the effectiveness of current processes. Gathering input from various departments and stakeholders can also help identify potential areas for improvement.

What are some common strategies for production cost optimization?

Some common strategies for production cost optimization include streamlining processes, reducing waste, negotiating better prices with suppliers, implementing new technologies, and optimizing inventory levels. Other strategies may include improving employee training and efficiency, outsourcing certain tasks, and implementing lean manufacturing principles.

How do you measure the success of a production cost optimization strategy?

The success of a production cost optimization strategy can be measured in various ways, including cost savings, improved efficiency, and increased profitability. It is important to establish clear metrics and benchmarks before implementing a strategy to track progress and measure the impact of any changes made.

What are some challenges that may arise during production cost optimization?

Challenges that may arise during production cost optimization include resistance to change from employees, difficulty in implementing new technologies or processes, and potential disruptions to the production process. It is important to have a solid plan in place and to communicate any changes effectively to all stakeholders to minimize these challenges.

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