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Quality and Process Management in a Spinning Mill
Published in A. Kanthimathinathan, Manufacturing Excellence in Spinning Mills, 2022
Process capability analysis is a set of tools used to find out how well a given process meets a set of specification limits. In other words, it measures how well a process performs in relation to the specification limits. The main objective of the process management is to prevent defects and to minimize the variability in the manufacturing process. To reduce the variability we need to establish the relationship between process variable and product results. Even though the product meets the specification limits and the process is in a state of control, the action may be initiated to quantify and further reduce the process variability to gain marvelous advantages. The statistical techniques can be used to quantify the variability. Process capability analysis helps in quantifying the process variability and assists manufacturing by eliminating or greatly reducing the variability. ProcessCapabilityRatioCp=(USL−LSL)/6σ
Quality in Design
Published in K. S. Krishnamoorthi, V. Ram Krishnamoorthi, Arunkumar Pennathur, A First Course in Quality Engineering, 2018
K. S. Krishnamoorthi, V. Ram Krishnamoorthi, Arunkumar Pennathur
The meaning of process capability and the method of measuring process capabilities are explained in detail in Chapter 4. Process capability refers to the ability of a process to produce a desired product characteristic within the variability allowed by (internal or external) customer specifications. At this stage of planning, the quality planning team should make certain that the processes have been chosen to produce the product characteristics within the allowable variability. Often, a pilot study may be necessary to evaluate the capability of the chosen process to perform the operations for a new product with acceptable capabilities. Such studies would give estimates for the expected capabilities of the new process and also reveal opportunities for improving those capabilities.
Work Measurement (WM) Techniques
Published in Munyai Thomas, Mbonyane Boysana, Mbohwa Charles, Productivity Improvement in Manufacturing SMEs, 2017
Munyai Thomas, Mbonyane Boysana, Mbohwa Charles
As found by Mishra and Sharma (2014:524–41), SPC is a tool that involves determining the process capability by means of a control chart (moving average) and a range chart capturing individual variation in manufacturing SMEs. Statistical process enforces the quality practice in production process, detecting the failure before it happens and applying corrective action, resulting in minimizing cost and product variability and inconsistencies, and thus improving productivity in manufacturing SMEs. This tool uses a histogram, Pareto diagram, and run chart to measure percentage defects occurring in the manufacturing process, resulting in quality failure of their businesses. The aim of using these measures in terms of SPC is to ensure that there is improvement in quality and, in turn, productivity progress in manufacturing SMEs. The types of systems that use SPC in manufacturing SMEs include mass volumes produced in the form of batches and continuous projects focusing on costs, quality, delivery, flexibility, and dependability so that the business can remain competitive in the market.
Fuzzy judgement model for assessment of improvement effectiveness to performance of processing characteristics
Published in International Journal of Production Research, 2023
Kuen-Suan Chen, Yuan-Lung Lai, Ming-Chieh Huang, Tsang-Chuan Chang
Although the proposed methodologies and models can assist manufacturing firms in improving efficiency of manufacturing process and optimising production resources, quality is a crucial factor determining the sustainability of a manufacturing company and represents a type of guarantee given to consumers (Ramanathan et al. 2017; Kumar, Batista, and Maull 2011). Thus, with the increasing depth and breadth of market competition, high levels of product quality can be regarded as a basic requirement for the maintenance of competitive advantage (Hill, Schilling, and Jones 2019; Albacete-Sáez, Fuentes-Fuentes, and Bojica 2011; Prajogo 2007). To produce high-quality products, manufacturing firms must continue to improve their production technologies and, more importantly, monitor the performance of processing characteristics during the production process. Many researchers suggest gauging process performance using process capability analysis (Wang, Hsu, and Shu 2021; Wu, Lee, and Huang 2021; Chen, Chung, and Chang 2021; Borgoni and Zappa 2020; Chen et al. 2020; Hadian and Rahimifard 2019; Adeoti and Olaomi 2018; Aslam, Mohsin, and Jun 2017; Otsuka and Nagata 2017; Jeang 2010). Process capability is the quality capability displayed by a production process under fixed conditions and stable control. Process capability indices (PCIs) are a numerical expression of whether the performance of a process meets manufacturing needs. Thus, in practice, most PCIs serve as analysis tools to measure processing characteristics and their relationships with specification tolerances.
Implementation of an operating procedure for quality control at production level in a RMG industry and assessment of quality improvement
Published in The Journal of The Textile Institute, 2018
Chowdhury Jony Moin, A. B. M. Sohail ud Doulah, Mohammad Ali, Ferdous Sarwar
Process capability indices, such as Cp and Cpk have been widely used as statistical tools to assess the manufacturing process performance. This is also a widely used statistical process control technique, to determine the ability for manufacturing process between tolerance limits and engineering specifications providing quantitative measures of process potential and performance (Statisti & Tehnike, 2009). It indicates the directions and magnitude of corrections and overall improvement. So, the producer can take steps to improve or redesign the process. For the process capability analysis following, four capability indices were widely used (Montgomery, 2007).Cp = Process Potential Index.Cpk = Process Performance Index.Cpu = Upper Process Performance Index.Cpl = Lower Process Performance Index.
Bibliometric analysis for process capability research
Published in Quality Technology & Quantitative Management, 2019
Shafiq Ahmad, Moath Alatefi, Mohammad Alkahtani, Saqib Anwar, Mohamed Sharaf, Mali Abdollahian
Process capability analysis deals with how to assess the capability of a manufacturing process, where information about the process is used to improve the capability. With process capability analysis, one can determine how well the process will perform relative to product design requirements. However, before assessing the capability of a process it is important to check whether the process is stable, quality characteristics under study are independent and normally distributed or not. This means, the process should be statistically stable and only natural (common) causes of variation may be present in the manufacturing process (Montgomery, 2007).