dc.contributor.advisor |
Amarasinghe, S |
|
dc.contributor.author |
Perera, SCD |
|
dc.date.accessioned |
2011-06-18T10:25:31Z |
|
dc.date.available |
2011-06-18T10:25:31Z |
|
dc.identifier.citation |
Perera, S.C.D. (2003). Quality analysis for uPVC pipes [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/1221 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/1221 |
|
dc.description.abstract |
There is 110 doubt that quality has become a major feature in the survival plan of many companies today. Each company employee must be committed to the use of effective methods to achieve optimum efficiency, productivity, and quality to produce competitive goods. Statistical Process Control (SPC), in its broad sense, is a collection of production methods and management concepts and practices that can be used throughout the company. SPC involves the use of statistical signals to identify sources of variation, to improve performance, and to maintain control production at higher quality levels.
This work investigates the implementation phase of SPC in a company, which produce rigid unplasticized poly vinyl chloride (uPVC) pipes for cold water supplies. SPC techniques were used to identify the variations of finished pipes quality parameters and quantify these variations. Stepwise approach was initiated to control the processes and uplift the quality of the finished pipes. Selected -processes were monitored, analyzed and improved through multi-disciplinary process actions teams. By using awareness and pilot project phases SPC was successfully implemented in a pipe extrusion line.
Process flow chart was used to define variable and attribute data of pipe extrusion line. Flow chart was helped to control and minimize external causes to a great extent. Intemal and external customer satisfaction was achieved due to through monitoring of variable and 'attribute data from the incoming raw materials to finished pipe storage. Root causes for variations in the extrusion line were studied through detailed cause and effect relations. Improvements were initiated by treating to the root causes. Using control charts out of control situations were identified and out of control action plan was prepared to take prompt actions. Accuracy of the testing methods and calibration of measuring equipments were given more attention at each process step. From planed control charts PATs managed to obtain well-described measurements, knowledge on process control and detection of process disturbances, product
assurance, knowledge on the level of control of the process, and control limits for process inherent variation.
Improvements in uPVC pipe quality and consistency was achieved through the use of SPC. This step was not easily or quickly achieved. It required extensive training at all levels, considerable planning, and most importantly, the consistent support of upper management in committing the manpower and funds to make it happen. |
|
dc.language.iso |
en |
en_US |
dc.subject |
CHEMICAL AND PROCESS ENGINEERING-Thesis |
|
dc.subject |
POLYMER TECHNOLOGY-Thesis |
|
dc.subject |
RUBBER, SYNTHETIC |
|
dc.subject |
POLYVINYL CHLORIDES |
|
dc.subject |
RUBBER PRODUCTS-Quality |
|
dc.subject |
STATISTICAL METHODS-Statistical process control |
|
dc.title |
Quality analysis for uPVC pipes |
|
dc.type |
Thesis-Abstract |
|
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc |
en_US |
dc.identifier.department |
Department of Chemical Engineering |
en_US |
dc.date.accept |
2003 |
|
dc.identifier.accno |
78478 |
en_US |