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Utilizing statistical quality control tools in improving the quality of the weights of animal-feed bags
Author(s):
1. Romano A. Pimentel: University of Science and Technology of Southern Philippines, Lapasan Cagayan de Oro City, Philippines
2. Dexter L. Duat: University of Science and Technology of Southern Philippines, Lapasan Cagayan de Oro City, Philippines
3. Paul Joseph Estrera: University of Science and Technology of Southern Philippines, Lapasan Cagayan de Oro City, Philippines
4. Al-rashyn M. Sayadi: Division of Engineering Technology College of Engineering, Mindanao State University-Main Campus, Marawi City, Philippines
5. Consorcio S. Namoco Jr.: University of Science and Technology of Southern Philippines, Lapasan Cagayan de Oro City, Philippines
Abstract:
The role of quality measurement and improvement in the examination of continuous product and service improvement has expanded over time. Control charts for statistical process control (SPC) are useful in assessing and optimizing industrial processes. The data were obtained during every batch of Feed types. The first three (3) bags output of the Automatic Bag Weighing Machine was monitored and recorded was entered into IBM SPSS Software for descriptive analysis of the mean, standard deviation, maximum and lowest values for the various types of Mash Feeds. The analysis of the reasons for the departure of some points from the control units discovered that they were caused by a change in machine settings. These charts will be used in the future to control the quality of the bag's weight, and the responsible parties will use these charts in the future by taking samples of the production and calculating each of the R, and these values on the monitoring charts, and making the appropriate decision in terms of the production process being under control or out of control.
Page(s): 441-445
DOI: DOI not available
Published: Journal: Science International, Volume: 34, Issue: 5, Year: 2022
Keywords:
Bags , Animal feed , Statistical Quality Control , Weights , Tool , Batch , IBM SPSS software
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