Example of International Journal of Quality Engineering and Technology format
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Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format
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Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format Example of International Journal of Quality Engineering and Technology format
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open access Open Access

International Journal of Quality Engineering and Technology — Template for authors

Categories Rank Trend in last 3 yrs
Safety, Risk, Reliability and Quality #158 of 165 down down by 52 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 34 Published Papers | 5 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 12/07/2020
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Related Journals

open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 4.0
SJR: 0.545
SNIP: 1.328
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Springer

Quality:  
High
CiteRatio: 16.1
SJR: 2.831
SNIP: 5.451
open access Open Access

De Gruyter

Quality:  
High
CiteRatio: 3.5
SJR: 0.304
SNIP: 0.667

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.1

50% from 2019

CiteRatio for International Journal of Quality Engineering and Technology from 2016 - 2020
Year Value
2020 0.1
2019 0.2
2018 0.6
2017 0.8
2016 0.5
graph view Graph view
table view Table view

0.152

11% from 2019

SJR for International Journal of Quality Engineering and Technology from 2016 - 2020
Year Value
2020 0.152
2019 0.171
2018 0.21
2017 0.134
2016 0.125
graph view Graph view
table view Table view

0.049

70% from 2019

SNIP for International Journal of Quality Engineering and Technology from 2016 - 2020
Year Value
2020 0.049
2019 0.163
2018 0.514
2017 0.194
2016 0.16
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 50% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 11% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 70% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Quality Engineering and Technology

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Inderscience Publishers

International Journal of Quality Engineering and Technology

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Quality Engineering and Technology formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 12 Jul 2020 and has been used by 968 authors to write and format their manuscripts to this journal.

i
Last updated on
12 Jul 2020
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ISSN
1757-2177
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
i
Bibliography Name
plainnat
i
Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJQET.2011.041227
EWMA control charts for multivariate Poisson-distributed data
Busaba Laungrungrong1, Connie M. Borror2, Douglas C. Montgomery1

Abstract:

Much of the research involving simultaneous monitoring of several related quality characteristics that follow a multivariate Poisson distribution has relied on using the normal approximation to the Poisson distribution in order to determine the appropriate control limits. In this paper, evaluation and implementation of MEWMA ... Much of the research involving simultaneous monitoring of several related quality characteristics that follow a multivariate Poisson distribution has relied on using the normal approximation to the Poisson distribution in order to determine the appropriate control limits. In this paper, evaluation and implementation of MEWMA schemes for count rates using the multivariate Poisson framework itself are presented. We demonstrate that the multivariate EWMA chart-based directly on the multivariate Poisson distribution is superior to one based on normal-theory with respect to the in-control average run length. The proposed scheme performs similarly to one based on normal-theory for detecting an out-of-control process. We also illustrate a step-by-step numerical example on the practical use of the new control chart. read more read less

Topics:

EWMA chart (70%)70% related to the paper, Poisson distribution (62%)62% related to the paper, Control chart (59%)59% related to the paper, Multivariate statistics (58%)58% related to the paper, Control limits (57%)57% related to the paper
28 Citations
Journal Article DOI: 10.1504/IJQET.2012.049699
Development of multiple deferred state sampling plan based on minimum risks using the weighted Poisson distribution for given acceptance quality level and limiting quality level
K. Subramani1, V. Haridoss2

Abstract:

Since the first acceptance sampling plans have been developed 80 years ago, a number of selection principles have emerged. The majority of these principles are characterised by the fact that they look upon producer and consumer as two opposing parties. However, in many occasions, e.g., in final inspection, producer and consum... Since the first acceptance sampling plans have been developed 80 years ago, a number of selection principles have emerged. The majority of these principles are characterised by the fact that they look upon producer and consumer as two opposing parties. However, in many occasions, e.g., in final inspection, producer and consumer represent the same party and, therefore, the used sampling plan should not make an attempt to discriminate between their interests. In this case the interest is to avoid wrong decisions, i.e., reject product of sufficient quality and accept product of insufficient quality. Thus, the natural objective in these cases is to use overall risk for a wrong decision as optimisation criteria. Optimum result can be arrived further by the weighted Poisson distribution. In this paper, a table and procedure are given for finding the multiple deferred state-(c1, c2) sampling plan involving minimum sum of producer’s and consumer’s risks for specified acceptance quality level and limiting quality level using the weighted Poisson distribution. This is the case with so called ‘multiple deferred state-(c1, c2) sampling plan for given acceptance quality level and limiting quality level involving minimum risks using the weighted Poisson distribution’. read more read less

Topics:

Acceptance sampling (64%)64% related to the paper, Acceptable quality limit (58%)58% related to the paper, Poisson distribution (52%)52% related to the paper, Quality (business) (51%)51% related to the paper
19 Citations
Journal Article DOI: 10.1504/IJQET.2010.035585
Analysis strategies for multiple responses in quality improvement experiments
Rabindra Nath Das1, Youngjo Lee2

Abstract:

Quality improvement experiments often aim to find operating condition that achieves the target value for the mean of a process characteristic, and simultaneously minimises the process variability. For this purpose, Taguchi's techniques of analysis based on signal-to-noise ratios and dual response surface methodology are commo... Quality improvement experiments often aim to find operating condition that achieves the target value for the mean of a process characteristic, and simultaneously minimises the process variability. For this purpose, Taguchi's techniques of analysis based on signal-to-noise ratios and dual response surface methodology are commonly used to achieve this goal. This paper shows how the generalised linear models approach of modelling the 'mean function' and 'variance function' jointly can be used to achieve the goal. Two examples illustrate differences among three approaches. read more read less

Topics:

Variance function (53%)53% related to the paper, Taguchi methods (52%)52% related to the paper
18 Citations
open accessOpen access Journal Article DOI: 10.1504/IJQET.2010.03461
On the economic-statistical design of control charts constrained by the inspection workstation configuration
Giovanni Celano1

Abstract:

A key issue for the use of control charts in a manufacturing process is the selection of their design parameters. At the moment of chart design, it is important to consider the inspection resources available at the workstation and the process operating parameters, which can strongly constrain the search for optimal chart desi... A key issue for the use of control charts in a manufacturing process is the selection of their design parameters. At the moment of chart design, it is important to consider the inspection resources available at the workstation and the process operating parameters, which can strongly constrain the search for optimal chart design parameters. In this paper, the constrained economic-statistical designs of EWMA and Shewhart charts monitoring the sample mean are compared: the SPC inspection activities are locally self-managed by a worker demanded also to perform the manufacturing activities at the workstation. The shift to the out-of-control condition for the monitored quality characteristic is assumed as a random variable. A benchmark of 64 process scenarios has been generated to investigate the influence of several process operating parameters and workstation configuration. Finally, the accuracy of the expected inspection cost estimation has been computed for several distributions fitting the random shift behaviour. read more read less

Topics:

Statistical process control (62%)62% related to the paper, EWMA chart (60%)60% related to the paper, Control chart (60%)60% related to the paper, Chart (53%)53% related to the paper, Workstation (50%)50% related to the paper
15 Citations
Journal Article DOI: 10.1504/IJQET.2010.034611
A Johnson's type transformation EWMA-S² control chart
Philippe Castagliola1, Giovanni Celano2, Sergio Fichera2

Abstract:

This article demonstrates how a four parameters (bounded) Johnson SB transformation combined with an EWMA approach can be used to monitor the sample variance of a process. The resulting chart will be called an EWMA-J-S² chart. In this article, the computation of both the control limits and the parameters of the Johnson SB tra... This article demonstrates how a four parameters (bounded) Johnson SB transformation combined with an EWMA approach can be used to monitor the sample variance of a process. The resulting chart will be called an EWMA-J-S² chart. In this article, the computation of both the control limits and the parameters of the Johnson SB transformation of the EWMA-J-S² chart are explained. An easy-to-use table providing useful constants and an illustrative example are given. The distributional properties of the transformed sample variance are derived and, finally, an optimal design strategy based on the ARL is presented and a list of optimal design parameters for the EWMA-J-S² chart is provided. read more read less

Topics:

EWMA chart (73%)73% related to the paper, Shewhart individuals control chart (67%)67% related to the paper, Chart (66%)66% related to the paper, Control limits (61%)61% related to the paper, X-bar chart (60%)60% related to the paper
13 Citations
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3. Can I cite my article in multiple styles in International Journal of Quality Engineering and Technology?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Quality Engineering and Technology citation style.

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Quality Engineering and Technology?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Quality Engineering and Technology. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Quality Engineering and Technology?

The 5 most common citation types in order of usage for International Journal of Quality Engineering and Technology are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download International Journal of Quality Engineering and Technology in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Quality Engineering and Technology Endnote style according to Elsevier guidelines.

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