hat were available to help meet specific customer requirements. Quality control systems and identification of failed parts were among these tools. The application of statistical methods was used to make efforts at improvement more effective. Two common statistical methods that were used are those that were associated with statistical process control and process capability analysis. The goal of a process control system was to make predictions about the cur Evaluation on a judgment rent and future state of a process. A process was said to be operating in statistical control when the only sources of variation were common causes (Down, Cvetkovski, Kerkstra & Benham, 2005, p. 19). Common causes referred to sources of variation that over time produced a stable and repeatable distribution. When common causes yielded stable results then the output was considered to be predictable. SPC involved the use of control charts though an integrated software package. In an article by Douglas Fair (2008), he viewed product defects from the eyes of the consumer. He stated that to truly leverage SPC to create a competitive advantage, key characteristics had to be identified and monitored. (Fair, 2008) The means for monitoring some of these characteristics involved the use of control charts. An article written on integrated control charts, introduced control charts based on time-between-events (TBE).These charts were used in manufacturing companies to gauge the reliability of parts and service related applications. An event was defined as an oc Evaluation on a judgment currence of a defect and time referred to the amount of time between the occurrence of defect events (Shamsuzzaman, Min, Ngee & Haiyun, 2008). Process capability was determined by the variation that came from common causes. It represented the best performance of a process. Other writers deemed that one way to improve quality and achieve the best performance was to reduce product deviation. The parameters they used included the process mean and production run times (Tahera, Chan & Ibrahim, 2007). Peter Roost (2007) favored the use of Computer-Aided Manufacturing tools as a means of improving quality. According Evaluation on a judgment  to the author, CAM allowed a company to eliminate errors that cause rework and scrap, improved delivery times and simplified operations, and identified bottlenecks which assisted in efficient use of equipment (Roost, 2007). Other articles on optimization introduced a lot size modeling technique to identify defective products. Lot-sizing emphasized the number of units of an item that could be produced without interruption on the machinery used in the production process (Buscher & Lindner, 2007).>