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Quality Management Practices
Published in Sunil Luthra, Dixit Garg, Ashish Agarwal, Sachin K. Mangla, Total Quality Management (TQM), 2020
Sunil Luthra, Dixit Garg, Ashish Agarwal, Sachin K. Mangla
A check sheet is a simple and useful tool of quality control. A check sheet is a planned document that is used to record all the activities that happen during a specific period of time on the shop floor. It collects real-time data at the location where the process has occurred. It provides the required information in a quick, easy, and efficient manner. A check sheet is a quality control tool that allows the collection and compilation of data in an efficient manner. It is a simple form in which all the information has been recorded in an organised manner by simply putting a tick mark in the column. A check sheet contains all the information regarding the process, including the location. A check sheet is a fundamental quality control tool that collects information in the required format. The check sheet shows how frequently an event occurs during a defined period of time. A check sheet, in short, can be defined as a structured form for collecting and analysing real-time data. It is used for the collection and organisation of the real-time data in a systematic process. It can collect and analyse both qualitative and quantitative data.
Techniques and Tools for Systematic Analysis
Published in Maharshi Samanta, Lean Problem Solving and QC Tools for Industrial Engineers, 2019
Let us refer to the discussions in the previous chapters. After the data are collected in the standardized format of a check sheet, one needs to look for any pattern or trend in the data set. A quick tool to use may be a histogram. A histogram is a graphical representation of frequency distribution for a set of data (usually depicted either with horizontal or vertical bars), which may display variations in a process. Histograms also show dispersion and shape (relative frequency) of data; they are used to check where the greatest variations occur in a process. They may also give some indication whether the process specifications are exceeded anywhere. They help us understand that a process is capable of meeting its specifications.
Useful risk management tools
Published in Dennis Lock, Shane Forth, The Practitioner Handbook of Project Controls, 2020
A check sheet is a structured format that makes it easy to record and analyse data. Tally marks are made to indicate how often something occurs. That displays gathered data in a clear format allows easy analysis. Check sheets can identify and quantify possible causes, types and locations of problems. They are also useful for standardizing data collection for a process, ensuring that everyone collects comparable data in the same format. They can be used during the first stage of problem-solving to identify a problem. In the second stage they can help to identify the root causes of problems. The process for designing and using a check sheet is as follows: Decide which data are needed.Decide how the results will be analysed and used.Keep the form simple and easy to understand.Include only information that you intend to use.Make sure that everyone will interpret the categories in the same way.Compile separate check sheets for different days.Try out the form in advance and validate it by testing it on someone not involved in its design.Gather the actual data.
Evolution of process capability in a manufacturing process
Published in Journal of Management Analytics, 2018
Sérgio Sousa, Nuno Rodrigues, Eusébio Nunes
QT and methods are key to reduce the level of defective items, and thus reducing the overall quality costs contributing to increasing organization’s competitiveness and sustainability (Awaj, Singh, & Amedie, 2013; Ismyrlis & Moschidis, 2015; Tague, 2005). Quality improvement could be done through structured and systematic problem-solving processes (PDCA, DMAIC, Juran Trilogy) where QT can make the process more efficient (Campos, Luz, Rivabem, & Mocelin, 2017). The “seven basic quality control tools” are highlighted by Kaoru Ishikawa for solving the vast majority of problems related to quality in companies: check sheet, Pareto chart, histogram, scatter diagram, flowchart, cause-and-effect diagram and control charts (Ishikawa, 1985). The ability to correctly identify the problem, use the appropriate tools based on the nature of the problem and communicate the solution quickly to others are the key aspects to successful problem resolution (Ishikawa, 1985). These tools are not characterized as complex and they are the easiest to use. Other tools and techniques more complex, like Design of experiments, Quality costing, Quality function deployment, Six Sigma, Benchmarking and Quality circles are also used for manufacturing companies but do not have the same level of use (Fonseca et al., 2015; Lopes, Nunes, Sousa, & Esteves, 2011). However, the use of such methodologies and tools has associated costs (which are part of the manufacturing costs) and different control mechanisms have different associated costs (Germani, Mandolini, & Cicconi, 2011; Peruzzini & Pellicciari, 2017; Xiao et al., 2017).
On efficient CUSUM-type location control charts using auxiliary information
Published in Quality Technology & Quantitative Management, 2018
Ridwan A. Sanusi, Nasir Abbas, Muhammad Riaz
The output of all manufacturing and non-manufacturing processes always includes certain amount of variation in it. The examples include: in the process of filling bottles with cooking oil, the amount of oil filled in any two bottles will not be exactly same; in the process of making tube light rods, the diameter or length of any two rods will not be the same. This inherent part of the process is known as a common cause variation. The variations outside this common cause pattern are called special cause variations. These variations are usually large in magnitude, controllable in nature and due to many inescapable causes. Statistical Quality Control () includes some tools that can be used to discriminate between common and special cause variations. There are seven most commonly referred tools (Pareto diagram, Cause and effect diagram, Flowcharts, Control chart, Histogram, Scatter diagram and Check sheet), and these tools are jointly known as tool-kit. The most important and the most powerful tool of this kit is the control chart which is the graphical display of a quality characteristic plotted against three lines named as: Upper Control Limit (), Centre Line (CL) and Lower Control Limit (). The two control limits (i.e. and ) are basically the parameters of a control chart. These limits are selected in such a way that there is a very small probability of the in-control data points falling outside these limits. Generally, this probability is referred to as False Alarm Rate () in quality control literature and denoted by (α).
Determining which of the classic seven quality tools are in the quality practitioner’s RCA tool kit
Published in Cogent Engineering, 2023
Quality tools are needed when performing an RCA, and they are used for analyzing problems, generating ideas, and solving problems (Lee et al., 2018). Kaoru Ishikawa (1991) introduced the world to a collection of seven quality tools, which are now used by quality professionals. Ishikawa’s originals even quality tools were the cause and effect diagram, check sheet, control chart, histogram, Pareto chart, scatter plot, and stratification. However, other authors may list different quality tools (Borror, 2009; Okes, 2002).