Hypothesis Testing for Quality Control at a Manufacturing Company

2014 ◽  
pp. 60-77
Keyword(s):  
Quality Control ◽  
Hypothesis Testing ◽  
Manufacturing Company

scholarly journals Quality Control of “As Built” BIM Datasets Using the ISO 19157 Framework and a Multiple Hypothesis Testing Method Based on Proportions

2019 ◽  
Vol 8 (12) ◽  
pp. 569 ◽  
Author(s):  
Francisco Javier Ariza-López ◽  
José Rodríguez-Avi ◽  
Juan Francisco Reinoso-Gordo ◽  
Íñigo Antonio Ariza-López
Keyword(s):  
Quality Control ◽  
Data Quality ◽  
Hypothesis Testing ◽  
Evaluation Method ◽  
Residential Building ◽  
Multiple Hypothesis Testing ◽  
Quality Controls ◽  
Testing Method ◽  
Multiple Hypothesis ◽  
Building Information

Building information model (BIM) data are digital and geometric-based data that are enriched thematically, semantically, and relationally, and are conceptually very similar to geographic information. In this paper, we propose both the use of the international standard ISO 19157 for the adequate formulation of the quality control for BIM datasets and a statistical approach based on a binomial/multinomial or hypergeometric (univariate/multivariate) model and a multiple hypothesis testing method. The use of ISO 19157 means that the definition of data quality units conforms to data quality elements and well-defined scopes, but also that the evaluation method and conformity levels use standardized measures. To achieve an accept/reject decision for quality control, a statistical model is needed. Statistical methods allow one to limit the risks of the parties (producer and user risks). In this way, several statistical models, based on proportions, are proposed and we illustrate how to apply several quality controls together (multiple hypothesis testing). All use cases, where the comparison of a BIM dataset versus reality is needed, are appropriate situations in which to apply this method in order to supply a general digital model of reality. An example of its application is developed to control an “as-built” BIM dataset where sampling is needed. This example refers to a simple residential building with four floors, composed of a basement garage, two commercial premises, four apartments, and an attic. The example is composed of six quality controls that are considered simultaneously. The controls are defined in a rigorous manner using ISO 19157, by means of categories, scopes, data quality elements, quality measures, compliance levels, etc. The example results in the rejection of the BIM dataset. The presented method is, therefore, adequate for controlling BIM datasets.

scholarly journals ANALISA KECACATAN PRODUK SEPATU KAKI TANGGA ALUMINIUM DENGAN METODE SIX SIGMA (STUDI KASUS UD. CP)

JUMINTEN ◽  
2020 ◽  
Vol 1 (6) ◽  
pp. 109-121
Author(s):  
Nur Kholik ◽  
Yustina Ngatilah ◽  
Erlina Purnamawaty
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Total Production ◽  
Household Appliances ◽  
Manufacturing Company ◽  
Fishbone Diagram ◽  
Standard Quality ◽  
Machine Control ◽  
Fmea Method

UD. CP is a manufacturing company engaged in the manufacture of household appliances. One of the company's products is aluminum footwear. The problem that often arises in this product is the high defect that occurs in the aluminum footwear product which reaches 5% -6% of total production. The types of defects are hollow, torn, bump, melt, hollow, and melt and hollow. Given these problems, a study was conducted to reduce the percentage of defects in products with the Six Sigma method. Based on the analysis of the DPMO calculation and the company sigma value, the average DPMO value is 8705,201 and the sigma value of 3,8773 shows that the aluminum footwear products are included in the standard quality of the average industry in Indonesia. From these results an analysis of the root causes of disability is carried out using a fishbone diagram that has 5 factors that cause disability, namely humans, methods, materials, machinery, and the environment. After the cause of the disability is known, priority plans for improvement are made. From the results of this FMEA method the priority of the proposed improvement is to provide supervision to the operator, provide training to the operator, increase supervision of production results, Prevent maintenance of the machine, Control the machine correctly.                                                                                                   Keywords: Defect, DPMO, Six Sigma Quality Control, FMEA

scholarly journals Penerapan lean manufacturing dalam mereduksi pemborosan pada raw material bumbu dengan metode PDCA

Agromix ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 137-144
Author(s):  
Reka Firwayani Wigati ◽  
Devi Maulida Rahmah ◽  
Irfan Ardiansah ◽  
Totok Pujianto
Keyword(s):  
Quality Control ◽  
Lean Manufacturing ◽  
Raw Material ◽  
Dominant Factor ◽  
Processed Food ◽  
Know How ◽  
The Third ◽  
Manufacturing Company ◽  
Instant Noodles

PT. XYZ is a manufacturing company that produces processed food. Instant noodles is one of the type product that produced by PT. XYZ, which contains raw material for spice as one of the main complementary material. This research focused on the waste of raw material for instant noodles seasoning. The purpose of this research is to reduce the waste and to determine which factors that cause waste. This study using Plan Do Check Action method which is expected to reduce waste that occurs within the company. The highest waste within 18 days of production was 15.28%, the lowest was -2.3% and there was no waste, and the average waste during that period was 3.2%. the result of the highest and dominant factor in the waste of raw material was the lack of skill of the operator was just moved from screw division, thus they didn’t know how to operate machine. While the second factor was the lack of maintenance of the machine by quality control departement for pitch standardization. And the third factor was the cutter knife didn’t really cut because of the cutter block.

scholarly journals Quality Control in SBAS: Protection Levels and Reliability Levels

2009 ◽  
Vol 62 (3) ◽  
pp. 509-522 ◽  
Author(s):  
João Oliveira ◽  
Christian Tiberius
Keyword(s):  
Quality Control ◽  
Hypothesis Testing ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
The Common ◽  
Position Solution

This contribution extends the common documented approach of integrity through Protection Levels in Satellite-Based Augmentation System (SBAS) positioning for aeronautics, to reliability on the basis of statistical hypothesis testing, and as such provides a safeguard against model misspecifications as anomalies and outliers in the measurements. It is shown that when integrity is monitored through Protection Levels and reliability added through Reliability Levels, the availability of the SBAS position solution is more than 99% for APV-I precision approach. The availability for CAT-I is currently just a few percent. When the Galileo constellation is added, and current performance is copied ahead, the percentage for CAT-I increases to beyond 95%.

Health communication ethics and CDC quality-control guidelines for information

2003 ◽  
Vol 118 (3) ◽  
pp. 193-196 ◽  
Author(s):  
Jeffrey W McKenna ◽  
Terry F Pechacek ◽  
Donna F Stroup
Keyword(s):  
Quality Control ◽  
Health Communication ◽  
Communication Ethics
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