scholarly journals PENGENDALIAN KUALITAS PEMOTONGAN KAIN SATEN PADA PROSES PEMBUATAN TAS DI HOME INDUSTRI X DI KABUPATEN SIDOARJO

Heuristic ◽  
2016 ◽  
Vol 11 (01) ◽  
Author(s):  
Erni Puspanantasari Putri
Keyword(s):  
Quality Control ◽  
Control Chart ◽  
Performance Index ◽  
Process Capability Index ◽  
Specification Limit ◽  
Capability Index ◽  
Ongoing Process ◽  
A Value ◽  
Lower Specification Limit ◽  
Home Industries

purchasing power, making a number of craftsmen home industry in Sidoarjo either small,medium or produced in homes facing bankruptcy. Their products are not only competingwith a medium or large industrial products that use semi-modern machinery, but alsoimported products, especially from China and Vietnam which relying on cheaper productprices. Ironically, consumers now also its orientation, to model and quality. It which notowned by the craftsman home industry, because their manual production. With thiscondition, resulted in the emergence difficulties for home craftsmen in the industry toimprove and expand its business.With the variety of backgrounds, as described above, the purpose of this researchare to provide recommendations about the quality control, cutting sateen in the process ofmaking bags in the Home Industries X.Solving problems in this research using the method to determine the source ofvariation of the process, that is using the Control Chart of X-bar (average) and R(Range). The results showed that the value of Process Capability Index (Cp) in the HomeIndustry X has a value of Cp = 0.525 <1.00. This means that the process has a lowcapability to meet the specifications of the expected measurement. As well as with size ofKane Performance Index (Cpk = 0.367) were the criteria CPL = 0.367, or CPU = 0.682<1.00, which means that the process is not able to meet the lower specification limit(LSL) and upper (USL). With this condition, it is necessary to control the use of controlchart from the X-bar and R to monitor the ongoing process from time to time, to soquickly take corrective action, if any changes which not desirable in the process ofmaking bags at Home industrial X.Kata Kunci : Pengendalian Kualitas, Indek Kapabilitas Proses (Cp), Indeks Kinerja Kane(Cpk)

A mixed control chart using process capability index

2017 ◽  
Vol 36 (2) ◽  
pp. 278-289 ◽  
Author(s):  
Muhammad Aslam ◽  
N. Khan ◽  
Liaquat Ahmad ◽  
Chi-Hyuck Jun ◽  
Jaffer Hussain
Keyword(s):  
Control Chart ◽  
Process Capability ◽  
Process Capability Index ◽  
Capability Index ◽  
Mixed Control

scholarly journals A Variable Control Chart Based on Process Capability Index Under Generalized Multiple Dependent State Sampling

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 34031-34044 ◽  
Author(s):  
G. Srinivasa Rao ◽  
Muhammad Ali Raza ◽  
Muhammad Aslam ◽  
Ali Hussein AL-Marshadi ◽  
Chi-Hyuck Jun
Keyword(s):  
Control Chart ◽  
Process Capability ◽  
Process Capability Index ◽  
Capability Index ◽  
Variable Control ◽  
Dependent State

scholarly journals Hybrid censoring samples in assessment the lifetime performance index of Chen distributed products

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 607-616
Author(s):  
Majdah Mohammed Badr ◽  
Ahmed Ibrahim Shawky ◽  
Gamal Amen Abd-Elmougod
Keyword(s):  
Monte Carlo Simulation ◽  
Performance Index ◽  
Shape Parameters ◽  
Monte Carlo Simulation Study ◽  
Specification Limit ◽  
Hybrid Censoring ◽  
Lifetime Performance ◽  
Lower Specification Limit ◽  
Censoring Scheme ◽  
Theoretical Results

Abstract The performance and potential of a process of industrial products is assessed under lower specification limit L by lifetime performance index (CL). In this paper, under consideration the independent lifetimes Chen products with known one shape parameters the CL of the performance of a process is evaluated. For the hybrid censoring scheme the maximum likelihood (ML) estimate of CL is constructed as well as confidence interval for CL is developing. Also, Bayesian approach is adopted to estimates CL and credibly interval is constructed. Some theoretical results of hypothesis tests of CL is adopted. Finally, our obtaining results will be assessed and compared through Monte Carlo simulation study and numerical example.

scholarly journals Uniformity microsprinkler irrigation system using statistical quality control

2017 ◽  
Vol 47 (4) ◽  
Author(s):  
Maurício Guy de Andrade ◽  
Marcio Antonio Vilas Boas ◽  
Jair Antonio Cruz Siqueira ◽  
Mireille Sato ◽  
Jonathan Dieter ◽  
...  
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Irrigation System ◽  
Process Capability ◽  
Process Capability Index ◽  
Statistical Quality Control ◽  
Uniformity Coefficient ◽  
Statistical Quality ◽  
Capability Index ◽  
Shewhart Control

ABSTRACT: The objective of this study was to evaluate the use of statistical quality control tools in the analysis of the uniformity of a microsprinkler irrigation system. For the analysis of irrigation Christiansen uniformity coefficient (CUC) and the distribution uniformity coefficient (DU) were statistically analyzed by means of the Shewhart control charts and process capability index (Cp). For the experiment 25 tests were carried out with a single micro sprinkler and subsequently seven different spacing between micro sprinklers were simulated. Control charts contributed to the diagnosis of the treatments to be under control and with satisfactory uniformity outcomes. Increase in process capability index was directly proportional to the average of CUC and DU.

scholarly journals ANALISIS SIX SIGMA DENGAN DECISION ON BELIEF CHART PADA PRODUK HOT STRIP MILL

2021 ◽  
Vol 10 (1) ◽  
pp. 94-103
Author(s):  
Alifia Hanifah Mumtaz ◽  
Mustafid Mustafid ◽  
Sudarno Sudarno
Keyword(s):  
Normal Distribution ◽  
Control Chart ◽  
Six Sigma ◽  
Hot Strip Mill ◽  
Specification Limit ◽  
Capability Index ◽  
Hot Strip ◽  
Quality Control Process ◽  
Calculation Step ◽  
Normally Distributed

The Decision On Belief (DOB) control chart is a univariate control chart that was initially introduced as a solution to the problem of less than optimal control limits from the shewhart attribute diagram, especially the control chart C. The new scheme based on the DOB control chart is that the calculation step , can change the data which initially is not normally distributed into a normal distribution, then can diagnose quality control process errors. . defines belief or an assumption in the new observation vector  and . The aim of this research is to apply the DOB control chart to data that is not normally distributed, so that it becomes a normal distribution. The result of the DOB control chart shows that the value of . is between the BKA and BKB values, which indicates a statistically controlled process. In this study, using one specification limit, namely the upper specification limit (USL) given by the company, which is 15 percent of the average production. The capability index used is  for 3 sigma using the transformation result . Based on the sample data, the result shows that the  value is 0.40633 and the sigma level is 2.719, so it can be concluded that the Hot Strip Mill production process is still not capable and has not reached the level of three sigma.Keywords: Six Sigma, Decision On Belief, capability index, , DPMO, level sigma. 

Sign in / Sign up

Export Citation Format

Share Document