Research and discuss why a quality control system is important in logistics management.The requirements below must be met for your paper to be accepted and graded:Write between 750 – 1,250 words (approximately 3 – 5 pages) using Microsoft Word in APA style, see example below.Use font size 12 and 1” margins.Include cover page and reference page.At least 80% of your paper must be original content/writing.No more than 20% of your content/information may come from references.Use at least three references from outside the course material, one reference must be from EBSCOhost. Text book, lectures, and other materials in the course may be used, but are not counted toward the three reference requirement.Cite all reference material (data, dates, graphs, quotes, paraphrased words, values, etc.) in the paper and list on a reference page in APA style.References must come from sources such as, scholarly journals found in EBSCOhost, CNN, online newspapers such as, The Wall Street Journal, government websites, etc. Sources such as, Wikis, Yahoo Answers, eHow, blogs, etc. are not acceptable for academic writing. LECTURE: Quality Improvement ToolsStatistical Process Control (SPC) is a method for monitoring, controlling and, ideally, improving a process through statistical analysis. The philosophy states that all processes exhibit intrinsic variation. However, sometimes processes exhibit excessive variation that produces undesirable or unpredictable results. SPC, in a manufacturing process optimization context, is used to reduce variation to achieve the best target value.In the mid-1920s, Dr. Walter A. Shewhart developed the fundamentals of Statistical Process Control (though that was not what it was called at the time) and the associated tool, the Control Chart. His reasoning and approach were practical, sensible and positive. In order to be so, he deliberately avoided overdoing mathematical detail. In later years, significant mathematical attributes were assigned to Shewhart’s thinking with the result that this work became better known than the pioneering application that he had created.A process must be capable of operating with little variability around the target or nominal dimensions of the product’s quality characteristics in order to meet or exceed customer expectations.SPC is a powerful collection of problem-solving tools useful in achieving process stability and improving capability through the reduction of variability.A process is an organized sequence of activities that produces an output (product or service) that adds value to the organization. While we traditionally think of SPC as being applied to manufacturing processes, it can really be applied to any kind of process including service processes.SPC is one of the greatest technological developments of the twentieth century because it is based on sound underlying principles, is easy to use, has significant impact, and can be applied to any process.Its seven major tools are:Histogram or stem-and-leaf plotCheck sheetPareto chartCause-and-effect diagramDefect concentration diagramScatter diagramControl chart“The Magnificent Seven” are an important part of SPC but they comprise only the technical aspects. The proper deployment of SPC helps create an environment in which all individuals in an organization seek continuous improvement in quality and productivity. This environment is best developed when management becomes involved in the process.Many of the examples used to reinforce the SPC principles are in an industrial, product oriented framework. There have been many successful applications of SPC methods in the manufacturing environment. However, the principles themselves are general; there are many applications of SPC techniques and other quality engineering and statistical tools in nonmanufacturing settings, including transactional and service businesses.There seem to be two primary reasons for the difference between transactional and service industry applications and manufacturing applications:Most transactional and service businesses do not have a natural measurement system that allows the analyst to easily define quality.The system that is to be improved is usually fairly obvious in a manufacturing setting, whereas the observability of the process in a nonmanufacturing setting may be fairly low.Designed experiments, simulation models, and control charts can all have many applications in the service economy. One difference in the service economy is that you are more likely to encounter attribute data. Even when continuous data is encountered in service and transactional businesses, such as cycle time, it may not be normally distributed.References…Montgomery, D., Jennings, C. & Pfund, M. (2011). Managing, controlling, and improving quality. Hoboken, NJ: John Wiley & Sons.

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