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Chi-Hyuck Jun

Researcher at Pohang University of Science and Technology

Publications -  314
Citations -  8971

Chi-Hyuck Jun is an academic researcher from Pohang University of Science and Technology. The author has contributed to research in topics: Control chart & EWMA chart. The author has an hindex of 35, co-authored 309 publications receiving 7442 citations. Previous affiliations of Chi-Hyuck Jun include Electronics and Telecommunications Research Institute & University of Veterinary and Animal Sciences.

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Journal ArticleDOI

Mixed Control Charts Using EWMA Statistics

TL;DR: Two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution and the performance of both control charts is compared with each other and with the existing control chart.
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A new control chart for exponential distributed life using EWMA

TL;DR: In this article, a new control chart for exponentially distributed quality characteristics using variable transformation and exponentially weighted moving average (EWMA) is presented, which is based on the control chart presented in this paper.
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A new multiple dependent state sampling plan based on the process capability index

TL;DR: This new sampling plan for the inspection of measurable quality characteristics is developed based on the process capability index Cpk, where the quality characteristic under investigation follows the normal distribution with unknown mean and unknown variance.
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Mean value analysis of re-entrant line with batch machines and multi-class jobs

TL;DR: An approximate approach for estimating the performance measures of the re-entrant line with single-job machines and batch machines based on the mean value analysis (MVA) technique and some heuristic adjustments is proposed.
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Time Truncated Group Acceptance Sampling Plans for Generalized Exponential Distribution

TL;DR: In this article, two group acceptance sampling plans are considered for a two-parameter generalized exponential distribution when the life-test is truncated at a pre-specified time, and the design parameters such as the number of groups and the acceptance number are obtained by satisfying the producer's and consumer's risks at specified quality levels in terms of medians.