Statistical Process Control

A process is a series of steps or sequence of business activities conducted to achieve customer satisfaction. Customer satisfaction would be achieved by providing customers with what they need, when they need it and in the way that they need it. An input and an output are always associated with a process. There are many variables that are involved at each stage of the process between he input and the output. The variables consist of the quality of activities involved, how the activities are organized, cost, people resources, accuracy and speed (Cook, 1996). Process improvement is a method of identifying and analyzing how a set of business activities is organized and managed within an organization.   This paper will complete the statistical process control for preparing dinner, analyze the control limits and the effect of any seasonal factors, as well as discuss the confidence intervals.
Statistical Process Control
Statistical process control (SPC) uses statistical techniques to measure and analyze the variation in processes to ensure the process operates at maximum potential to produce a consistent product. The goals of SPC are to maximize profits by improving production quality, improving productivity, streamlining processes, reducing waste, and improving customer service. Each day I must decide what my family will eat for dinner. According to Chase et al, SPC involves testing a random sample of output from a process to determine whether the process is producing in a pre-selected range (2006). After creating a flowchart to outline each step of the dinner making process, I collected data for 20 days on how long it took me to prepare dinner during the weeknights. I used the time study method to measure the sample data. A standard approach to controlling processes is variables sampling and attribute sampling. Attribute sampling determines whether something is good or bad, fits or doesn’t fit. However, for these purposes, variables sampling will be used. In variable...