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  <controlfield tag="001">UP-99796217610571662</controlfield>
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   <subfield code="a">(iLib)UPD-00192603339</subfield>
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   <subfield code="a">DENG</subfield>
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   <subfield code="a">eng</subfield>
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   <subfield code="a">LG 993 1999 E66</subfield>
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   <subfield code="a">Empamano, Cherry A.</subfield>
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  <datafield tag="245" ind1="1" ind2="2">
   <subfield code="a">A quality control study</subfield>
   <subfield code="b">Container Corporation of the Philippines</subfield>
   <subfield code="c">Cherry A. Empamano, Marie Abigail Gavino, Elsie P. Pon-an.</subfield>
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  <datafield tag="264" ind1=" " ind2="1">
   <subfield code="a">Diliman, Quezon City</subfield>
   <subfield code="b">College of Engineering</subfield>
   <subfield code="c">1999</subfield>
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   <subfield code="a">34 leaves</subfield>
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   <subfield code="a">Feasibility study</subfield>
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   <subfield code="a">Access exclusively for UP IE students. Written permission required from the department head for NON-IE and NON-UP students or researchers</subfield>
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   <subfield code="a">Submitted in partial fulfillment of the course requirements in IE 135 : Industrial Quality Control</subfield>
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   <subfield code="a">This paper deals with the application of quality control concepts in an actual industrial setting, specifically in Container Corporation of the Philippines (CCP), a paper manufacturer. The group conducted an on sight study of the processes involved in papermaking. The paper making process was documented. Then historical data was gathered and analyzed. The main tool that the group used in the analysis of the company's processes and quality activities is the statistical process control. Statistical process control is a powerful collection of problem solving tools such as Pareto Chart, cause and effect diagram (Ishikawa Diagram) scatter graph and control charts. Design of experiments was also used in analyzing the papermaking process. Problems in the paper industry are all the same, all of it just repeats itself over time. The group tried to analyzr the historical data that was given to use by the company. from December 1997 - May 1998, a lot of rolls of paper were rejected. Low strength was identified as the most commonly encountered defects. Thus the causes of these defects were identified and analyzed. The group also conducted a Failure Mode Effects and Analysis (FMEA). It also showed that low paper strength really needs to be studied, since its RPN of 120 exceeds the minimum rating of 90.</subfield>
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  <datafield tag="520" ind1="0" ind2=" ">
   <subfield code="a">The factors that have a major impact on the strength of the finished products are freeness, consistency, and the combination of raw materials or furnish. Consistency and freeness has a significant effect on the resulting top liner and bottom liner strength of the products. Consistency could be easily controlled. It needs only some adjustments in the water valves to be able to come up with the appropriate consistency level. On the other hand, freeness could not be directly adjusted. Therefore, freeness was the focus of this study. From the result of the process capability analysis, it was seen that the PCT and PCRk are equal, since there is no upper control limit. This signifies that the process is centered. But  the PCR of the process is less than one. From here, the group colcluded that the process is potentially incapable. The group decided to conduct a design of experiments on the effect of refining (Current in Amperes used) on freeness, given a specific furnish combination. Linear regression equations were developed for each of the furnish combinations representing the regression line in the diagrams. These equations might be used for interpolation, that is, for predicting the freeness level at levels of refining between those actually used in the experiment. From the analysis, the group proved that the low strength of the outgoing products should be examined more. Freeness, which significantly affects low strengh at the wet end section, should also be controlled better. THe group recommends several tools that the company may use in controlling freeness. They could start with statistical process control with the use of control charts to control freeness, increasing the sampling frequency. They may also use design of experiments to reduce the inherent variability in the freeness and strength. It is recommended that thy use both methods of SPC and design of experiments simultaneously, because at this point in time, the process is potentially incapable.</subfield>
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   <subfield code="a">Container Corporation of the Philippines.</subfield>
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   <subfield code="a">Container industry.</subfield>
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   <subfield code="a">Quality control.</subfield>
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   <subfield code="a">Industrial Quality Control</subfield>
   <subfield code="c">IE 135.</subfield>
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   <subfield code="a">Gavino, Marie Abigail.</subfield>
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   <subfield code="a">Pon-an, Elsie P.</subfield>
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   <subfield code="a">UP</subfield>
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   <subfield code="a">Paper</subfield>
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   <subfield code="a">UPD</subfield>
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   <subfield code="h">LG 993 1999 E66</subfield>
   <subfield code="i">E477</subfield>
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   <subfield code="a">Thesis</subfield>
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