Economic design of EWMA control charts based on loss function
dc.citation.epage | 759 | en_US |
dc.citation.issueNumber | 3-4 | en_US |
dc.citation.spage | 745 | en_US |
dc.citation.volumeNumber | 49 | en_US |
dc.contributor.author | Serel, D. A. | en_US |
dc.date.accessioned | 2016-02-08T10:05:27Z | |
dc.date.available | 2016-02-08T10:05:27Z | |
dc.date.issued | 2009 | en_US |
dc.department | Faculty of Business Administration | en_US |
dc.description.abstract | For monitoring the stability of a process, various control charts based on exponentially weighted moving average (EWMA) statistics have been proposed in the literature. We study the economic design of EWMA-based mean and dispersion charts when a linear, quadratic, or exponential loss function is used for computing the costs arising from poor quality. The chart parameters (sample size, sampling interval, control limits and smoothing constant) minimizing the overall cost of the control scheme are determined via computational methods. Using numerical examples, we compare the performances of the EWMA charts with Shewhart over(X, -) and S charts, and investigate the sensitivity of the chart parameters to changes in process parameters and loss functions. Numerical results imply that rather than sample size or control limits, the users need to adjust the sampling interval in response to changes in the cost of poor quality. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T10:05:27Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009 | en |
dc.identifier.doi | 10.1016/j.mcm.2008.06.012 | en_US |
dc.identifier.issn | 0895-7177 | |
dc.identifier.uri | http://hdl.handle.net/11693/22843 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.mcm.2008.06.012 | en_US |
dc.source.title | Mathematical and Computer Modelling | en_US |
dc.subject | Average run length | en_US |
dc.subject | Economic design | en_US |
dc.subject | EWMA control chart | en_US |
dc.subject | Markov chain | en_US |
dc.subject | Statistical process control | en_US |
dc.subject | Design | en_US |
dc.subject | Digital signal processing | en_US |
dc.subject | Flowcharting | en_US |
dc.subject | Functions | en_US |
dc.subject | Graphic methods | en_US |
dc.subject | Markov processes | en_US |
dc.subject | Probability density function | en_US |
dc.subject | Process control | en_US |
dc.subject | Process engineering | en_US |
dc.subject | Quality control | en_US |
dc.subject | Surface treatment | en_US |
dc.subject | Average run length | en_US |
dc.subject | Control charts | en_US |
dc.subject | Control limits | en_US |
dc.subject | Control schemes | en_US |
dc.subject | Economic design | en_US |
dc.subject | Ewma charts | en_US |
dc.subject | EWMA control chart | en_US |
dc.subject | Exponential loss functions | en_US |
dc.subject | Exponentially weighted moving averages | en_US |
dc.subject | In processes | en_US |
dc.subject | Loss functions | en_US |
dc.subject | Markov chain | en_US |
dc.subject | Numerical examples | en_US |
dc.subject | Numerical results | en_US |
dc.subject | Overall costs | en_US |
dc.subject | Sample sizes | en_US |
dc.subject | Sampling intervals | en_US |
dc.subject | Shewhart | en_US |
dc.subject | Smoothing constants | en_US |
dc.subject | Statistical process control | en_US |
dc.title | Economic design of EWMA control charts based on loss function | en_US |
dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Economic design of EWMA control charts based on loss function.pdf
- Size:
- 620.26 KB
- Format:
- Adobe Portable Document Format
- Description:
- Full printable version