Preview

Knitwear Product Quality Analysis and Development of Spc Plan

Powerful Essays
Open Document
Open Document
3363 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Knitwear Product Quality Analysis and Development of Spc Plan
KNITWEAR PRODUCT QUALITY ANALYSIS AND DEVELOPMENT OF SPC IMPLEMENTATION PLAN
Tajammal Hussain
Institute of Quality and Technology Management
University of the Punjab, Lahore
Phone:042-9230344
E-mail: mtqm32@yahoo.com
And
Muhammad Mohsin
Department of Mathematical Sciences
COMSATS Institute of Information Technology Defence Road, Off-Raiwind Road, Lahore.
Phone: 042-5321090-ext-233
E-mail: mohsinshahid@yahoo.com Abstract Statistical process control (SPC) is a powerful technique which knitwear industry can use in its pursuit of continuous effort to achieve sustainable and compatible garments quality at optimum cost reducing the magnitude of nonconforming garments in continuous mode of production.
In this paper scientific investigation highlights the need for implementation of SPC to knitwear industry by exploring the nature of defects, which cause cost of quality to raise an intolerable level taking away the competitive edge of industry from its competitors in international market. It is scientifically observed that these defects occurring in garments manufacturing, in some extent, are overlapping and these overlapping are highlighted in three major factors. Further, it illustrates some prerequisites to successful implementation of SPC and a comprehensive framework for the introduction and application of SPC program in knitwear industry, to control the over all process.

Key words. Statistical process control, quality, Factor Analysis, inspection and prevention models

1. Introduction
Pakistan Knitwear industry is renowned and poised for victory and rapid progress in the ever-hot competition international market, which is conceived and appreciated by the statistical facts and figures. Although, Being one of the largest cotton producer and very economical and easily available workforce, Pakistan has competitive advantage over rest of its rivals in international market that can lead it to excel the opportunities which are exposed by the



References: (i) Antony, J. (2000), "Ten key ingredients for making SPC successful in organizations", Measuring Business Excellence, Vol. 4 No. 4, pp. 7-11. (ii) Antony, J. and Kaye, M. (1999), Experimental Quality: A Strategic Approach to Achieve and Improve Quality, (iii) Bird, R (iv) Does, R.J.M.M. et al., (1997), "A framework for implementation of statistical process control International Journal of Quality Science, Vol. 2 No. 3, pp. 181-98. (v) Does, R.J.M.M. et al. (1999), Statistical Process Control in Industry, Kluwer Academic Publishers, Norwall, MA. (vi) Gaafar, L.K. and Keats, J.B. (1992), "Statistical process control: a guide for implementation", International Journal of Quality & Reliability Management, Vol. 9 No. 4, pp. 9-20. (vii) Goh, T.N. and Xie, M. (1998), "Prioritizing processes in initial implementation of SPC", IEEE Transactions on Engineering Management, Vol. 45 No. 1, pp. 66-71. (viii) Little, T.A. (2001), "10 requirements for effective process control: a case study", Quality Progressive. 34 No. 2, pp. 46-52. (ix) Mason, B. and Antony, J. (2000), "Statistical process control: an essential ingredient for improving service and manufacturing quality", Managing Service Quality, Vol. 10 No. 4,pp. 233-8. (x) Montgomery, D.C. (1991), Introduction to Statistical Quality Control, John Wiley & Sons, NewYork, NY. (xi) Oakland, J. (1999), Statistical Process Control, Butterworth-Heinemann, Oxford... (xii) Xie, M. and Goh, T.N. (1999), "Statistical techniques for quality", The TQM Magazine, Vol. 11 No. 4, pp. 238-41 Comparison of Originations Defect Categories

You May Also Find These Documents Helpful

  • Satisfactory Essays

    In this file OPS 571 Week 5 Individual Assignment Process Improvement Plan you can find overview of the Statistical process control (SPC)…

    • 468 Words
    • 3 Pages
    Satisfactory Essays
  • Good Essays

    The main task of statistical process improvement methods such as Statistical Process Control, Six Sigma and Measurement Systems Analysis and the Taguchi approach to Experimental Design is to control and reduce process variation.…

    • 1701 Words
    • 7 Pages
    Good Essays
  • Better Essays

    Ops-571 Assignment

    • 1146 Words
    • 5 Pages

    Successful organizations continuously strive to improve the processes they have in place. Process improvement leads to better quality control, higher efficiencies and lower costs. In order to implement a process improvement plan, it is necessary to collect and analyze data from the process. In this paper, I present an analysis of the metric data collected for the process I identified during week #1. As part of the analysis, the control and confidence limits are calculated, as well as other relevant statistics. With this information, a process improvement plan is developed.…

    • 1146 Words
    • 5 Pages
    Better Essays
  • Powerful Essays

    Carey RG Lloyd RC (1995) Measuring quality improvement in healthcare:A guide to statistical process control application, Madison, Wisconsin: Quality Press…

    • 2463 Words
    • 8 Pages
    Powerful Essays
  • Good Essays

    References: Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2006). Process selection design (11th ed.).…

    • 659 Words
    • 3 Pages
    Good Essays
  • Powerful Essays

    Ms Kluck was advocating the SPC as a means of improving the efficiency and accuracy of the Customer Service operations. Reducing errors increases the productivity, lowers the costs to the company. Customers benefit from an improved customer service aspect and over time will lead to higher revenues. Any time costs can be reduced and revenues can be influenced higher, is a good capitalist practice. The challenges with applying SPC to the service industry as compared to the manufacturing industry are in manufacturing there are processes that are repeated. Measuring these processes is inherently easier because they are more common. The service industry is not replete with processes throughout. There are some areas within the service that SPC lends itself as an analytical tool, such as back office operations. Service industry interaction is many time customer facing and interactions with customers are as varied as there are customers.…

    • 775 Words
    • 4 Pages
    Powerful Essays
  • Better Essays

    OM300 Study Guide 22

    • 1172 Words
    • 4 Pages

    The objective of a process control system is to provide a statistical signal when assignable causes of variation are present “ if you can’t describe and measure it the you can’t control or improve it.” SPC a process used to monitor standards by taking measurements and corrective action as a product or service is being produced. Control chart a graphical presentation of process data over time. A process is said to be orperating in SC when only source of variation is common(natural) causes. The process must first be brought in statistical control by dectecting and elimination special(assignable) causes of variation. The objective of Process Control Sysytem is to provide a statistical signal when assignable causes of variation are present. Natural variation variability that affects every production process to some degree and is to be expected also known as common cause. Control charts for the mean x or x-bar and the range R are used to monitor processes that have variables (continuous dimensions). X-chart tells us whether changes have occurred in the central tendency(the mean) of a process. The R-chart values indicate that a gain or loss in dispersion has occurred. The theoretical foundation for x-charts is the central limit theorem which states that regardless of the distribution of the population of all parts or services, the distribution of x’s tends to follow a normal curve as the number of samples increases. 95.45 % +/- 2 std dev. 99.73% +/- 3 std dev. Attributes are typically classified as defective or nondefective. 2 attribute charts p-chart measure the percent defective in a sample and c-chart count the number of defects in a sample. Acceptance sampling method of measuring random samples of lots or batches of products against predetermined standards.…

    • 1172 Words
    • 4 Pages
    Better Essays
  • Powerful Essays

    Mod10-Control Charts

    • 9450 Words
    • 38 Pages

    A control chart is a statistical tool used to distinguish between variation in a process resulting from common causes and variation resulting from special causes. It presents a graphic display of process stability or instability over time (Viewgraph 1). Every process has variation. Some variation may be the result of causes which are not normally present in the process. This could be special cause variation. Some variation is simply the result of numerous, ever-present differences in the process. This is common cause variation. Control Charts differentiate between these two types of variation. One goal of using a Control Chart is to achieve and maintain process stability. Process stability is defined as a state in which a process has displayed a certain degree of consistency in the past and is expected to continue to do so in the future. This consistency is characterized by a stream of data falling within control limits based on plus or minus 3 standard deviations (3 sigma) of the centerline [Ref. 6, p. 82]. We will discuss methods for calculating 3 sigma limits later in this module. NOTE: Control limits represent the limits of variation that should be expected from a process in a state of statistical control. When a process is in statistical control, any variation is the result of common causes that effect the entire production in a similar way. Control limits should not be confused with specification limits, which represent the desired process performance.…

    • 9450 Words
    • 38 Pages
    Powerful Essays
  • Good Essays

    Quality Associates

    • 691 Words
    • 3 Pages

    Quality Associates, a consulting firm has been approached by a client to analyze their manufacturing process. The client came to Quality Associates with a sample of 800 observations that they had collected during times when the manufacturing process was running smoothly. The sample of 800 yielded a sample standard deviation of 0.21. Quality Associates suggested that the company periodically take a sample of 30 to monitor their process on an ongoing basis to quickly learn if process was operating at a satisfactory level, and if not it could quickly be adjusted. The specifications of the design calls for the mean of the process to be 12.…

    • 691 Words
    • 3 Pages
    Good Essays
  • Better Essays

    Lind, D. A., Marchal, W.G., Wathen, S.A. (2004). Statistical Techniques in Business & Economics. The McGraw Hill, 12th Edition, Web Site : https://ecampus.phoenix.edu/content/eBookLibrary/content/eReader.h…

    • 889 Words
    • 4 Pages
    Better Essays
  • Good Essays

    Dav Case Study

    • 1003 Words
    • 3 Pages

    Statistical Process Control is an effective method of monitoring a process through the use of control charts. It would involve using Statistical techniques to measure and analyze the variation in processes. It can detect the presence of special causes of variation.…

    • 1003 Words
    • 3 Pages
    Good Essays
  • Good Essays

    Process Improvement Plan

    • 818 Words
    • 4 Pages

    References: . Wadsworth, H., Stephens , K., Godfrey, B. (2002).Modern Methods for Quality Control and…

    • 818 Words
    • 4 Pages
    Good Essays
  • Good Essays

    control charts: process performance, based on existing data, is monitored over time and between populations to identify problems and patterns.…

    • 720 Words
    • 3 Pages
    Good Essays
  • Powerful Essays

    Polaroid Case

    • 1849 Words
    • 8 Pages

    * Introduces the construction and use of statistical process control (SPC) charts and an understanding of the relationship between SPC and conformance quality.…

    • 1849 Words
    • 8 Pages
    Powerful Essays
  • Satisfactory Essays

    House of quality (HOQ), building a HOQ, QFD process. Failure mode effect analysis (FMEA) –…

    • 263 Words
    • 2 Pages
    Satisfactory Essays