June 24, 2007
June 24, 2007
June 27, 2007
12.475.1 - 12.475.18
Determining Process Capability of an Industrial Process in Laboratory Using Computer Aided Hardware and Software Tools
Quality means suitability for use and it is inversely proportional to variability of product, service, people, processes, and environment. However, it is the dynamic state that is associated with each of the above and that meets or exceeds expectations of a customer. Quality improvement is therefore the progressive reduction of variability. The gradual reduction of process and product variability can be done by successive determination and removal of the causes responsible for the variability.
For a process industry, causes of product variability happen generally due to two reasons: (1) The process itself (2) Personnel that runs the process. Whatever the reasons are -- in order to rectify, they need to be determined. Since product and process variability can be described in statistical terms, determination of this in quantitative form using statistical methods will point us to the obvious direction of rectification. Process Capability is a measure of the uniformity of a process output. To estimate this, engineering and statistical analyses have to be launched. If a process is determined to be incapable of producing product within the required specification, Statistical Process Control (SPC) will not fix it or control it; however, it will exhibit that the process is incapable.
Often time’s workers are blamed for their poor workmanship even when the process machinery is incapable of producing the product to meet the newer and tighter specification. In such situation management tend to think, what can go wrong with the process? The thing the workers need to do is to run the machinery and produce the product of required specification. It is like someone have given you felt-tip pen having one millimeter thick tip and tell you to make a 0.1 millimeter thick line on a paper. No matter how hard you try it is quite impossible to do so. Similarly if a process is incapable of meeting the standard, no matter how well one tries to control it, it will not produce the product of desired specification.
Determination of Process Capability is not hard, but it is frequently overlooked. It should be done first in any quality improvement program. It must be repeated on a periodic basis to ensure that the process stay fit to produce product of desired specification. If the process is incapable, then it is management’s responsibility to either improve the process or accept poor quality product. The workers cannot be held responsible for failure to meet standards, if they do not have any means to achieve those specifications. Process Capability of a certain process is determined by collecting a set of data sample of an output product specification from the process that is under optimal control. Then calculating the upper and lower natural tolerance limits that is within 6σ (6-sigma, σ = standard deviation) spread in the distribution. In other words collected data samples should reveal that the product specification is within 6σ distribution limit. If µ (mu) is the target specification, then the 99.73% of the product produced by the process under
Hossain, A. (2007, June), Determining Process Capability Of An Industrial Process In Laboratory Using Computer Aided Hardware And Software Tools Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. https://peer.asee.org/2327
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2007 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015