Choosing a lower specification limit for an exponential process with ‘the larger the better’ tolerance: A simple, exact solution

2000 ◽  
Vol 27 (8) ◽  
pp. 1045-1049
Author(s):  
Peter A. Wright
2021 ◽  
Vol 25 (8) ◽  
pp. 1477-1482
Author(s):  
O.F. Odeyinka ◽  
F.O. Ogunwolu ◽  
O.P. Popoola ◽  
T.O. Oyedokun

Process capability analysis combines statistical tools and control charts with good engineering judgment to interpret and analyze the data representing a process. This work analyzes the process capability of a polypropylene bag producing company. The case study organization uses two plants for production and data was collected over a period of nine months for this study. Analysis showed that the output spread of plant 1 was greater than the specification interval spread which implies poor capability. There are non-conforming parts below the Lower Specification Limit (LSL: 500,000 metres) and above the Upper Specification Limit (USL: 600,000 metres) and that the output requires improvement. Similarly, the capability analysis of plant 2 shows that the overall output spread is greater than the specification interval spread (poor capability). The output centre in the specification and overall interval are vertically aligned, thus specifying that the output from plant 2 is also process centered and requires improvement. Recommendations were made to improve the outputs from each production plant.


2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Sudhansu S. Maiti ◽  
Mahendra Saha

Process capability indices (PCIs) aim to quantify the capability of a process of quality characteristic (X) to meet some specifications that are related to a measurable characteristic of its produced items. One such quality characteristic is life time of items. The specifications are determined through the lower specification limit (L), the upper specification limit (U), and the target value (T). Maiti et al. (2010) have proposed a generalized process capability index that is the ratio of proportion of specification conformance to proportion of desired conformance. Bayesian estimation of the index has been considered under squared error loss function. Normal, exponential (nonnormal), and Poisson (discrete) processes have been taken into account. Bayes estimates of the index have been compared with the frequentist counterparts. Data sets have been analyzed.


2008 ◽  
Vol 580-582 ◽  
pp. 201-204 ◽  
Author(s):  
J. Lee ◽  
Michael Mayer ◽  
Y. Zhou ◽  
S.J. Hong ◽  
S.M. Lee

Tail breaking forces (TBFs) are measured for various process conditions to understand phenomena such as short tail formation. TBFs obtained with several Cu wires are compared to find the most suitable Cu wire type that improves consistent tail formation. In situ online TBF measurement method is developed. The highest TBF obtained is 61.59 + 9.10mN. The highest Cpk value obtained is 2.97 + 0.33 when lower specification limit of 10 mN is assumed.


Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 607-616
Author(s):  
Majdah Mohammed Badr ◽  
Ahmed Ibrahim Shawky ◽  
Gamal Amen Abd-Elmougod

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.


Heuristic ◽  
2016 ◽  
Vol 11 (01) ◽  
Author(s):  
Erni Puspanantasari Putri

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)


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