Manual vs. Automated Statistical Process Control: Food Industries

13. Which of the following characteristics makes it EASIER to measure the quality of a service, relative to that of a product or facilitating good?

Quality Associates, Inc., a consulting firm, advises its clients about sampling and statistical procedures that can be used to control their manufacturing processes. IN one particular application, a client game quality associates a sample of 800 observations taken during a time in which that client's process was operating satisfactorily. The sample standard deviation for there data was .21 ; hence, with so much data, the population standard deviation was assumed to be .21. Quality associates then suggested that random samples of size 30 be taken periodically to monitor the process on an ongoing basis. BY analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. when the process was not

A process that monitors standards by take measurements and corrective action as needed. It is in control when only variation is natural, if variation is assignable then discover cause eliminate it. Take samples to inspect/ measure- reduce inspection time, reduce opportunity of bad quality. Control charts graph of process data over time-show natural and assignable causes. Control charts for variable data (characteristic that is measured, length,height, etc) are X-chart (average) and R-chart (range)must use x and r to get correct results. central limit theorem follow normal curve. When we know . When we don’t know . Control charts for attributes (categorical-defective, good/bad) P-chart (percent) or C-chart

by subtracting the cost of the active ingredients per case and the re-work costs per case from the expected

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

Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle.

Quality Associates, Inc. is a consulting firm that advises its clients about sampling and statistical procedures that can be used to control manufacturing processes. In one case, a client provided Quality Associates with a sample of 800 observations that were taken during a time when the client's process was operating satisfactorily. The sample standard deviation for these data was .21, hence, the population standard deviation was assumed to be .21. Quality Associates then suggested that random samples of size 30 be taken periodically to monitor the process on an ongoing basis. By analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. When the process was not operating

Quality Associates, Inc., a consulting firm advises its clients about sampling and statistical procedures that can be used to control their manufacturing processes. In one particular application a client gave Quality Associates a sample of 800 observations taken during a time in which the client’s process was operating satisfactorily. The sample standard deviation of this data was 0.21; hence with so much data, the population standard deviation was assumed to be 0.21. Quality Associates then suggested that random samples of size 30 be taken periodically to monitor the process on an ongoing basis. By analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. When the process was not operating satisfactorily, corrective action could be taken to eliminate the problem. The design specification indicated the mean for the process should be 12. The hypothesis test suggested by Quality Associates follows.

Issue: Dynamic Seal, a precision parts manufacturer with a reputation for high quality, does not currently utilize a Statistical Process Control (SPC) system. However, United Airlines (UA), a major customer representing 14% of Dynamic Seal’s business, insists they implement an SPC system or loose United Airlines’ business. In addition Dynamic Seal do not have a sound preventative measure quality control system in place, preferring 100% inspection to cull bad quality, rather than building parts correctly from inception.

The average of fraction defective is merely a number which cannot tell us what to do with it even when we get it. Thus SPC is more accurate and systematic to analyze the process of customer service operation.

Dr. Edward Deming created the Red Bead Experiment to describe his theories on statistical variation measurements and management use of these tools. Dr. Deming believed that quality was driven by variability and that if that variability could be identified, measured, and controlled then the overall quality of the process and the product would increase. Deming uses his Red Bead Experiment as an educational tool to teach both workers and management that variability will exist in every process and the key to quality control is to predict as best as possible sources of variation, versus focusing on the apparent problem. In the Red Bead Experiment the apparent problem was the inability of the workers to meet quota, but the underlying problem

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

The premise of this paper is to identify deficiencies in daily managerial processes by using systematic statistical process controls and make the necessary improvements. The paper will employ various examples and calculations along with supporting data to explain control limits and its importance to the statistical process control. The effects of seasonal factors and its relevance to a process will also be highlighted and how confidence intervals are important in giving insights into data sets that improve the entire statistical process control.

Another strength of Auditing Alchemy’s internal control system is there extensive amount of check and balances throughout the production process. The organization sets budgeted production goals based on historical cost and usage standards for both the organization as a whole and different product types. Each type of sphere is placed in its respective bin and is tallied; once each sphere has been differentiated and tallied, they are compared against the production budget. The actual sphere production is compared with budgeted production amounts to verify that production was efficiently and effectively performed. Production staff and production manager Jennifer Smith verify that the budgeted and actual production amounts are in agreement. If there is variance between budgeted and actual production, the production manager requires staff to recount actual production to verify that no human or clerical errors have occurred. If the actual inventory count still does not match the budgeted production, then the production tally sheet is handed over to the production manager for

Analysts forecast the Global Process Analytical Instrumentation market to grow at a CAGR of 3.47 percent over the period 2013-2018. One of the key factors contributing to this market growth is the need to comply with stringent governmental regulations. The Global Process Analytical Instrumentation market has also been witnessing the emergence of technically advanced instruments. However, the need to offer customized instruments could pose a challenge to the growth of this market.