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Lean Wiki

Lean Wiki is the latest online encyclopedia of lean tools and resources. It provides an easy way to access a range of high-quality articles on lean topics. The tools and resources are neatly organized into categories, making it easy for you to find what you need.

Latest Article: Process Cycle Efficiency (PCE): An Explanation

Focused on lean tools, concepts and ideas, our Lean Wiki is a selection of key explanations to help you become familiar with the Lean methodology. We explore some of the key ideas behind Lean Thinking and explore core Lean terminology and principles.

Process Cycle Efficiency
Last Update: Process Cycle Efficiency (PCE): An Explanation
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Lean Wiki Articles

Process Cycle Efficiency

Process Cycle Efficiency (PCE): An Explanation

In simple terms, PCE tells us how much of the total time spent on a process is actually adding value from the customer’s perspective. A high PCE indicates a highly efficient process where most of the time is spent on value-adding activities, while a low PCE suggests the presence of significant waste or non-value-added activities in the process.

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Process Capability

An Introduction to Process Capability

Process capability is the ability of a process to meet customer requirements and expectations. Preliminary process capability involves statistical measurements that assess a process’s ability to produce outputs within specified limits, focusing on newer or unregulated processes. It is a quality control measure and can be determined using three primary tools: specification limits, statistical process control (SPC) tools such as X-bar and R charts, and calculation of Cp and Cpk values. Process capability can be improved by analyzing existing processes, identifying underlying causes of variability, and responding to identified issues quickly and effectively.

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Probability Distribution

Using the Probability Plot | Probability Distribution Tool

Idea Summary: Probability Distribution

A probability plot is a powerful tool for data analysis that provides a visual representation of the underlying probability distribution of a dataset. By plotting each measurement against probability paper, it is possible to identify outliers and non-normal distributions within the dataset, which can help inform process adjustments and better understand variation in the system.

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Priortisation Matrix

What is a Priortisation Matrix

Idea Summary: Priortisation Matrix

 

A priortisation matrix is a powerful tool that can be used to quickly and effectively assign priority levels to tasks, projects, and goals. This allows users to identify which tasks should be completed first, taking into account any time or budget constraints. By establishing criteria for what is most important within a project, it is possible to make better decisions regarding how resources and efforts should be allocated for optimal outcomes. A well-crafted prioritisation matrix allows project managers, team members, stakeholders, and other participants to better visualise the order in which tasks should be handled while taking into account any constraints they may face. Ultimately, this can save time and money while ensuring that customer needs are met within the agreed-upon timeline.

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Sources of Measurement Error - Bias and Precision

Sources of Error in Measurement in Research Methodology: Bias and Precision – LeanScape

In the exploration of measurement errors within research methodology, LeanScape delves into two critical components: bias and precision. The article illuminates how bias, stemming from systematic discrepancies between the measured values and true values, can significantly skew research outcomes. It further articulates that precision, or the consistency of repeated measurements under unchanged conditions, plays an equally pivotal role in ensuring the reliability of research findings. By comprehensively analysing these elements, LeanScape underscores their influence on the validity of research methodologies, advocating for meticulous attention to minimise errors and enhance the integrity of scientific inquiry.

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Cycle Time

What is cycle time?

Cycle Time in Lean is the total amount of time required to complete an individual process or task from start to finish. It measures the efficiency and effectiveness of a process, and helps identify areas where improvements can be made. Cycle Time encourages continuous improvement and increases productivity by reducing waste and unnecessary steps.

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5S Workplace Organisation

What is 5S? And What Are the Benefits?

The Lean 5s principles are a methodology used to promote workplace organization and efficiency. The five Ss (Seiri, Seiton, Seiso, Seiketsu, and Shitsuke) collectively create a system of cleanliness and order that makes operations more efficient and eliminates waste. Seiri is the process of taking inventory of what you have and discarding what is not needed. Seiton is the act of organizing all necessary items in a neat and orderly fashion. Seiso involves frequent cleaning to ensure quality and eliminate dirt or defects. Seiketsu ensures standardization across all areas, so everyone knows where everything belongs. Finally, Shitsuke emphasizes continuous improvement so the system can be improved over time.

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6 Sigma Control Charts

Control Charts Six Sigma: Statistical Process Control Charts

Statistical Process Control (SPC) is a powerful tool for monitoring and controlling production processes. It involves the use of statistical techniques, such as control charts and process capability indices, to monitor process performance. SPC also helps to identify potential sources of variation in the process, allowing managers to take corrective action before quality problems arise. In addition to monitoring the process, SPC can be used to optimize production, reduce costs, and ensure that the product meets customer requirements. By improving the performance of the process, SPC can help organizations increase their overall competitiveness. Control charts in Six Sigma are essential for monitoring and controlling process variation, stabilizing the process before initiating a project.

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what are p-values

What are P-Values and How to Use Them in Six Sigma

The P-Value in Statistics is a measure of the probability that a given result occurred by chance. It is used to determine whether or not to reject the null hypothesis in hypothesis testing. The lower the p-value, the more likely it is that the null hypothesis should be rejected. Generally, if a p-value is less than 0.05 (5%), the result can be considered statistically significant and it can be said that there is an effect.

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