Calculating Combined Production Time When Machines Work Together

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Introduction

In the realm of manufacturing and industrial operations, efficiency is paramount. Businesses constantly seek ways to optimize their production processes, minimize downtime, and maximize output. One common scenario involves multiple machines working together to complete a task. Understanding how to calculate the combined production time when machines operate simultaneously is crucial for effective resource allocation and production planning. This article delves into the mathematical principles behind this calculation, providing a step-by-step guide and illustrative examples. We'll explore the concepts of work rate, combined work rate, and how these principles can be applied to real-world manufacturing scenarios. By mastering these calculations, businesses can make informed decisions about machine utilization, staffing, and overall production efficiency.

This article aims to provide a comprehensive understanding of how to determine the time it takes for multiple machines to complete a task when working concurrently. We will break down the calculation process into manageable steps, ensuring clarity and ease of comprehension. Through illustrative examples and practical applications, we will demonstrate how this knowledge can be leveraged to optimize production processes in various manufacturing settings. Our goal is to empower readers with the skills and knowledge necessary to effectively manage their resources and improve overall operational efficiency. Whether you're a seasoned engineer or a budding entrepreneur, this article will provide valuable insights into the world of production optimization.

Understanding the combined work rate of machines is not just an academic exercise; it has direct implications for business profitability. By accurately calculating the time required to complete a task with multiple machines, businesses can better estimate production costs, set realistic deadlines, and make informed decisions about resource allocation. Moreover, this knowledge can be instrumental in identifying bottlenecks in the production process and implementing strategies to mitigate them. In today's competitive business landscape, where efficiency and productivity are key to success, mastering these calculations is an invaluable asset.

Problem Statement: A Manufacturing Scenario

Let's consider a scenario where a manufacturing factory has two machines capable of fulfilling a specific order. The first machine, which we'll refer to as Machine A, can complete the order in 5 hours when operating independently. This means that Machine A's work rate is 1/5 of the order per hour. The second machine, Machine B, is more modern and efficient, completing the same order in 3.5 hours. Machine B's work rate, therefore, is 1/3.5 of the order per hour. The central question we aim to answer is: How long will it take to manufacture the order if both machines work simultaneously?

This problem is a classic example of a combined work problem, often encountered in mathematics and engineering contexts. It requires us to understand the concept of work rate, which is the amount of work completed per unit of time. In this case, the work rate of each machine represents the fraction of the order it can complete in one hour. By combining the work rates of the two machines, we can determine their combined work rate, which will allow us to calculate the time required to complete the order when both machines are operating in tandem.

The significance of this problem extends beyond the theoretical realm. In real-world manufacturing settings, optimizing production time is crucial for meeting deadlines, reducing costs, and maximizing profitability. By accurately calculating the combined production time of multiple machines, factory managers can make informed decisions about resource allocation, scheduling, and overall production planning. This problem serves as a practical illustration of how mathematical principles can be applied to solve real-world challenges in the manufacturing industry.

Understanding Work Rate

To effectively tackle this problem, we must first grasp the concept of work rate. Work rate is defined as the amount of work completed per unit of time. In the context of our manufacturing scenario, the "work" is the completion of the order, and the unit of time is an hour. Therefore, the work rate of a machine represents the fraction of the order it can complete in one hour. For instance, if a machine can complete an order in 4 hours, its work rate is 1/4 of the order per hour. This means that in one hour, the machine completes one-fourth of the total work required.

Understanding work rate is fundamental to solving combined work problems. It allows us to quantify the individual contributions of each machine and then combine them to determine the overall efficiency when multiple machines are working together. The concept of work rate is not limited to manufacturing; it can be applied to various scenarios, such as painting a house, filling a pool, or completing a project. In each case, the work rate represents the amount of task completed per unit of time, whether it's gallons of paint applied per hour, liters of water filled per minute, or tasks completed per day.

The relationship between time and work rate is inversely proportional. This means that as the time taken to complete a task decreases, the work rate increases, and vice versa. For example, a machine that completes an order in 2 hours has a higher work rate (1/2 per hour) than a machine that completes the same order in 6 hours (1/6 per hour). This inverse relationship is crucial for understanding how the combined work rate of multiple machines affects the overall completion time. By accurately calculating the work rates of individual machines, we can predict the time it will take for them to complete a task when working together.

Calculating Individual Work Rates

Now that we understand the concept of work rate, let's apply it to our specific problem. We know that Machine A completes the order in 5 hours, so its work rate is 1/5 of the order per hour. This means that in one hour, Machine A completes one-fifth of the total order. Similarly, Machine B completes the order in 3.5 hours, which can also be expressed as 7/2 hours. Therefore, its work rate is 1 / (7/2), which simplifies to 2/7 of the order per hour. This indicates that Machine B completes two-sevenths of the order in one hour.

Calculating the individual work rates is a crucial step in determining the combined production time. These individual work rates serve as the building blocks for calculating the combined work rate, which will ultimately allow us to solve the problem. It's important to note that the work rate is expressed as a fraction of the total work completed per unit of time. In this case, the total work is the completion of the order, which we consider as a single unit (1). Therefore, the work rate represents the fraction of this unit completed per hour.

The difference in work rates between Machine A and Machine B reflects their different levels of efficiency. Machine B, being the more modern machine, has a higher work rate (2/7 per hour) compared to Machine A (1/5 per hour). This means that Machine B can complete a larger portion of the order in the same amount of time. This difference in efficiency will play a significant role in the overall time it takes to complete the order when both machines are working together. By accurately calculating these individual work rates, we can proceed to determine the combined work rate and the total production time.

Determining the Combined Work Rate

To find out how long it takes for both machines to complete the order working together, we need to determine their combined work rate. The combined work rate is simply the sum of the individual work rates of the machines. In our case, Machine A's work rate is 1/5 of the order per hour, and Machine B's work rate is 2/7 of the order per hour. Therefore, to find the combined work rate, we add these two fractions together.

The mathematical expression for the combined work rate is: Combined Work Rate = Work Rate of Machine A + Work Rate of Machine B. Substituting the values we calculated earlier, we get: Combined Work Rate = (1/5) + (2/7). To add these fractions, we need to find a common denominator. The least common multiple of 5 and 7 is 35, so we convert both fractions to have a denominator of 35.

Converting the fractions, we have: (1/5) = (7/35) and (2/7) = (10/35). Now we can add the fractions: Combined Work Rate = (7/35) + (10/35) = 17/35. This means that when both machines are working together, they complete 17/35 of the order in one hour. The combined work rate is a crucial piece of information that will allow us to calculate the total time required to complete the order with both machines operating simultaneously.

Calculating the Combined Time

Now that we have determined the combined work rate of both machines, we can calculate the time it will take for them to complete the order when working together. The combined work rate is 17/35 of the order per hour. To find the time it takes to complete the entire order (which we consider as 1 unit of work), we need to take the reciprocal of the combined work rate. This is because time is inversely proportional to the work rate.

The formula for calculating the combined time is: Combined Time = 1 / Combined Work Rate. Substituting the value we calculated for the combined work rate, we get: Combined Time = 1 / (17/35). Dividing by a fraction is the same as multiplying by its reciprocal, so we have: Combined Time = 1 * (35/17) = 35/17 hours.

To express this time in a more understandable format, we can convert the improper fraction 35/17 to a mixed number. Dividing 35 by 17, we get a quotient of 2 and a remainder of 1. Therefore, 35/17 is equal to 2 and 1/17 hours. This means that it will take approximately 2 hours and a fraction of an hour for both machines to complete the order when working together. To find the exact number of minutes in the fractional part, we can multiply 1/17 by 60 minutes per hour: (1/17) * 60 ≈ 3.53 minutes. Therefore, the combined time is approximately 2 hours and 3.53 minutes.

Solution and Conclusion

In conclusion, it will take approximately 2 hours and 3.53 minutes for both machines to complete the order when working together. This solution demonstrates how the principles of work rate and combined work rate can be applied to solve real-world manufacturing problems. By understanding the individual work rates of the machines and combining them, we were able to accurately calculate the time required to complete the order when both machines are operating simultaneously.

This calculation has significant implications for production planning and resource allocation. By knowing the combined production time, factory managers can optimize scheduling, estimate costs, and ensure timely delivery of orders. Furthermore, this approach can be extended to scenarios involving more than two machines, allowing for even more complex production planning scenarios to be addressed.

The problem we addressed highlights the importance of mathematical principles in optimizing industrial operations. The concepts of work rate, combined work rate, and their inverse relationship with time are fundamental tools for improving efficiency and productivity in manufacturing settings. By mastering these concepts, businesses can gain a competitive edge in today's demanding marketplace. This exercise not only provides a solution to a specific problem but also underscores the broader applicability of mathematical reasoning in practical scenarios.

This detailed analysis showcases the power of combining mathematical principles with real-world scenarios. The ability to calculate combined work rates and predict production times is a valuable asset for any manufacturing operation. By understanding these concepts, businesses can make data-driven decisions, optimize resource allocation, and ultimately improve their bottom line. The solution presented here serves as a testament to the importance of mathematical literacy in the modern industrial landscape.