The Kingman Law - Capacity Utilization vs Queue Time

Laurence Gartside
27 Mar 202303:04

Summary

TLDRThe Kingman formula from queuing theory illustrates the exponential relationship between capacity utilization and queue time. As utilization increases beyond 80%, queue times soar, leading to increased inventory, working capital, and customer wait times. This can result in a vicious cycle of disruption and potential business failure. The formula highlights the importance of balancing capacity utilization to avoid operational pitfalls and maintain customer satisfaction.

Takeaways

  • 📐 The Kingman formula is a mathematical model from queuing theory that illustrates the relationship between queue time and capacity utilization.
  • 📈 As capacity utilization increases, the queue time grows exponentially, not linearly.
  • 🚨 When capacity utilization exceeds 80%, there is a significant and sudden increase in queue time.
  • 🔄 Higher capacity utilization leads to increased work in progress, inventory, working capital, and customer wait times.
  • 🆘 Urgent tasks arriving at high capacity utilization can cause disruption, either by long waits or by expediting and causing further delays.
  • 🔄 A vicious cycle of increased workload and customer dissatisfaction can lead to business failure if not managed properly.
  • 💡 The choice of capacity utilization is a critical decision that can impact the success or failure of an organization.
  • 🚫 The temptation to maximize capacity utilization can be detrimental, as it can lead to system overload and inefficiency.
  • 🔄 Reducing variation in demand and capacity can lower the queue time and allow for higher capacity utilization.
  • 🔄 Operations that can manage variation effectively can achieve higher efficiency and better performance.

Q & A

  • What is the Kingman formula?

    -The Kingman formula is a mathematical formula from queuing theory that illustrates the relationship between queue time and capacity utilization in systems with varying levels of demand and supply.

  • How does the Kingman formula apply to real-world scenarios?

    -In real-world scenarios, the Kingman formula helps to understand the impact of capacity utilization on wait times. It shows that as utilization increases, wait times increase exponentially, not linearly.

  • What happens when capacity utilization is low?

    -When capacity utilization is low, the queue or wait time is also low, indicating that there is less demand and more capacity to handle it.

  • Why does queue time increase exponentially with higher capacity utilization?

    -Queue time increases exponentially with higher capacity utilization because each additional percentage point of utilization has a greater impact on wait times than the previous one, due to the diminishing returns on capacity.

  • At what point does capacity utilization start to cause a dramatic increase in queue time?

    -Capacity utilization starts to cause a dramatic increase in queue time when it climbs past about 80 percent.

  • What are the consequences of high capacity utilization on a business?

    -High capacity utilization can lead to increased work in progress inventory, higher working capital, longer customer wait times, and potential disruption from urgent tasks, which can disrupt the overall output and lead to a vicious cycle.

  • How does the Kingman formula relate to customer satisfaction?

    -The Kingman formula implies that high capacity utilization can lead to long wait times, which can frustrate customers and cause them to seek alternatives, thus affecting customer satisfaction negatively.

  • What is the 'vicious downward cycle' mentioned in the script?

    -The 'vicious downward cycle' refers to the situation where increased capacity utilization leads to longer wait times, which in turn causes customer dissatisfaction, loss of demand, and potential financial failure for the business.

  • What is the significance of the 'perfect efficiency' of 100% capacity utilization mentioned in the script?

    -The 'perfect efficiency' of 100% capacity utilization is a theoretical point where the system is operating at maximum capacity without any idle time. However, striving for this level can be risky as it may lead to excessive wait times and system breakdown.

  • How can an organization reduce the level of variation in demand and capacity?

    -An organization can reduce the level of variation by implementing strategies such as better demand forecasting, inventory management, flexible workforce, and efficient scheduling to achieve higher capacity utilization without increasing queue times.

  • What insights does the Kingman formula offer for improving operations?

    -The Kingman formula offers insights into the importance of balancing capacity utilization with queue times to maintain efficient operations. It suggests that reducing variation in demand and capacity can lead to higher utilization without increasing wait times.

Outlines

00:00

📏 Understanding the Kingman Law

The Kingman Law, a formula from queuing theory, illustrates the relationship between queue time and capacity utilization in systems with fluctuating demand and supply. At low capacity utilization, wait times are minimal, but they increase exponentially as utilization rises. Beyond 80% capacity utilization, the queue time escalates dramatically, leading to increased work in progress inventory, working capital, and customer wait times. This can result in a vicious cycle of disruption, extra tasks, changeovers, and loss of output, potentially causing a business to fail due to high working capital and cash flow issues. The formula highlights the importance of balancing capacity utilization to avoid these negative outcomes.

Mindmap

Keywords

💡Kingman Law

The Kingman Law, also known as the Kingman formula, is a mathematical formula from queuing theory that describes the relationship between queue time and capacity utilization. It is crucial in understanding how systems with limited capacity respond to varying demands. In the video, this law is used to illustrate how increasing capacity utilization exponentially increases wait times, which is a critical concept for managing operations efficiently.

💡Queuing Theory

Queuing Theory is a branch of operations research that deals with the analysis of waiting lines or queues. It is used to predict the time people spend waiting in line or the time a task spends waiting to be processed. In the context of the video, queuing theory is applied to analyze the impact of capacity utilization on wait times and operational efficiency.

💡Capacity Utilization

Capacity Utilization refers to the extent to which a company or system is using its potential output or capacity. It is a measure of how efficiently a system is operating. The video script highlights that as capacity utilization increases, the queue time also increases, indicating the delicate balance needed to maintain efficient operations without overwhelming the system.

💡Queue Time

Queue Time, also known as wait time, is the amount of time a customer or task spends waiting to be served. The video emphasizes that queue time increases exponentially with capacity utilization, which is a significant factor in customer satisfaction and operational efficiency.

💡Demand

Demand in this context refers to the quantity of goods or services that consumers are willing and able to purchase. The video script discusses how variations in demand can affect queue times and capacity utilization, emphasizing the need for businesses to manage demand effectively to maintain efficient operations.

💡Exponential Increase

An Exponential Increase refers to a rapid and continuous growth at an increasing rate. The video uses this term to describe how queue times increase as capacity utilization approaches higher percentages, which is a critical point for businesses to avoid inefficiencies and customer dissatisfaction.

💡Work in Progress Inventory

Work in Progress Inventory (WIP) refers to the inventory of goods that are in the process of being produced but are not yet complete. The video script mentions that as capacity utilization increases, so does WIP, which can lead to increased costs and delays if not managed properly.

💡Working Capital

Working Capital is the difference between a company's current assets and current liabilities. It represents the liquid capital available to a company to cover its day-to-day operational costs. The video script points out that high capacity utilization can lead to increased working capital requirements, which can strain a company's financial resources.

💡Customer Wait Times

Customer Wait Times are the periods customers must wait before receiving a service or product. The video script discusses how increasing queue times can lead to longer customer wait times, which can negatively impact customer satisfaction and loyalty.

💡Capacity Variation

Capacity Variation refers to the fluctuation in the capacity of a system to handle demand. The video script suggests that reducing variation in capacity can help lower queue times and improve operational efficiency, which is a key strategy for businesses to consider.

💡Operational Efficiency

Operational Efficiency refers to the optimal use of resources to produce the maximum output. It is a measure of how well a company can convert its inputs into outputs. The video script uses the concept of operational efficiency to discuss the importance of balancing capacity utilization to avoid inefficiencies and maintain a healthy business.

Highlights

Kingman formula is a mathematical formula from queuing theory.

It applies to systems with capacity and demand.

The formula shows the relationship between queue time and capacity utilization.

At low capacity utilization, queue time is very low.

Queue time increases exponentially with capacity utilization.

Every extra percentage point of capacity utilization significantly increases queue time.

Past 80% capacity utilization, queue time increases dramatically.

High capacity utilization leads to increased work in progress inventory and working capital.

Customers experience longer wait times with higher capacity utilization.

Urgent tasks cause disruption when capacity utilization is high.

A vicious cycle can occur leading to a new equilibrium or business failure.

The choice of capacity utilization is a deliberate decision for an organization.

The temptation to increase capacity utilization can be dangerous.

Reducing variation in demand and capacity can lower the queue time for the same utilization rate.

Operations that reduce variation can achieve higher capacity utilization.

Improving operations can be achieved by understanding and applying the Kingman formula.

Transcripts

play00:01

the Kingman law or Kingman formula is a

play00:05

mathematical formula from queuing Theory

play00:08

applicable to systems with capacity and

play00:11

demand

play00:12

it shows us the relationship between the

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queue time or wait time against

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different levels of capacity utilization

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in the real world where variation of

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capacity and demand exists

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we see that when we have low levels of

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capacity utilization the queue or wait

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time is very low but as capacity

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utilization increases the queue time

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increases too but not linearly

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exponentially

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every extra percentage point of capacity

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utilization increases the queue Time by

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more than the last

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as capacity utilization climbs past

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about 80 percent extra capacity

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utilization starts to cause a dramatic

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increase in the queue time

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this means corresponding increases in

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work in progress inventory working

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capital and customer wait times

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if an urgent new task arrives it must

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either wait at the back of a massive

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queue or be expedited forward causing

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further disruption extra tasks changing

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changeovers and loss of overall output

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it's a vicious downward cycle often only

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reaching a new equilibrium balance as

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the demand disappears

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fed up with missed deliveries and huge

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unpredictable wait times

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customers go elsewhere reducing the

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demand or the business fails financially

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unable to sustain themselves with such

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high working capital and causing a cash

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flow crisis

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there are many factors in the success

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and failures of an organization but this

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one what capacity utilization to go for

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is a deliberate choice

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the Temptation in businesses to always

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take on a bit more work or to trim back

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on capacity to try to get closer towards

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the perfect efficiency of 100 capacity

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utilization

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but trying to squeeze just that little

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extra out of the system can be fatal

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the position of the line is not the same

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for every operation

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if we are able to reduce the level of

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variation then the line moves down same

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shape but lower down

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four operations that can reduce their

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variation of demand and capacity they

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can achieve higher capacity utilization

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for the same queue time obviously a big

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plus and an exciting insight into what

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we can do to improve our operations

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