Estadistica

Statistics are more than numbers in industrial processes.

Statistics can be extremely helpful for any process in an industry, but statistical quality control can be better for maintaining qualitystandards and increasing productivity. Statistical quality control is the term used to describe the set of statistical tools used by quality professionals. In fact, many quality processes depend onthis kind of statistics. It is important to mention, the use of statistical quality control, its close relation with descriptive statistics like: mean variance and standard deviation and thestatistical methods that are implemented in order to improve quality.
On the first place, the use and efficiency of statistical quality control can improve not only processes quality, but also products in anindustry. Furthermore, quality plays an important role in an organization overall strategy. The biggest challenge for an International company in gaining global market share is to first understand theglobal customer. Apart from this, Industries need to fit with Total Quality Managements (TQM), which is as a set of management processes and systems that create delighted customers through empoweredemployees, leading to higher revenue and lower cost. If an industry can implemented TQM it will be easier to maintain control of production and to satisfied the costumer´s requirement. Be capable ofusing statistical tools can open many doors to progress and higher profit (Kairong, 2009).
In addition to this, it is necessary to talk about the close relation between Statistical quality control anddescriptive statistics. Research has shown that a new methodology based on a multivariate quality control system can increase levels of productivity in industries. This system is basically composedby descriptive statistics and quality tools which can assure a better production. manufacturing environment during later several decades has changed very much, it became modern and competitive for...