
Wimonmas BamrungsetthapongRajamangala University of Technology · Mathematics and Computer Science
Wimonmas Bamrungsetthapong
Doctor of Philosophy
About
16
Publications
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Publications
Publications (16)
This study presents the design of a modified attributed control chart based on a double sampling (DS) np chart applied in combination with generalized multiple dependent state (GMDS) sampling to monitor the mean life of the product based on the time truncated life test employing the Weibull distribution. The control chart developed supports the exa...
A novel adaptive multiple dependent state sampling plan (AMDSSP) was designed to inspect products from a continuous manufacturing process under the accelerated life test (ALT) using both double sampling plan (DSP) and multiple dependent state sampling plan (MDSSP) concepts. Under accelerated conditions,
the lifetime of a product follows the Weibull...
The design of a new adaptive version of the multiple dependent state (AMDS) sampling plan is presented based on the time truncated life test under the Weibull distribution. We achieved the proposed sampling plan by applying the concept of the double sampling plan and existing multiple dependent state sampling plans. A warning sign for acceptance nu...
A sampling plan can help to determine the quality of products, monitor the goodness of materials, and validate whether
the yields are free from defects. When the manufacturing process is precisely aligned, defects are minimized during sampling
inspection. This study proposed a multiple dependent state (MDS) sampling plan under a zero-inflated Poiss...
In this article, the fuzzy concepts are applied in analysis of the system reliability problem. The fuzzy number is used to construct the fuzzy reliability of the non-repairable multi-state series–parallel system (NMSS). The fuzzy failure rate function is represented by an exponential fuzzy number. By using this innovative approach, the fuzzy system...
This research proposed a design of mixed control charts to monitoring the process quality based on attribute data together with variable data called a Mixed NE chart. The integration of Genetic Algorithm (GA) and Monte Carlo (MC) simulation are used to simultaneously assess the efficiency of a Mixed NE chart based on three different scenarios of th...
This article is purpose a hybrid estimation of the fuzzy system reliability for the Non-repairable multi-state series-parallel system (NMSS). Considering the fuzzy parameter of NMSS are prior fuzzy parameters. Then the posterior fuzzy parameters of NMSS are constructed by fuzzy Bayesian point estimate of fuzzy system reliability. Moreover, an appro...
The purpose of this paper is to create an interval estimation of the fuzzy system reliability for the repairable multistate series–parallel system (RMSS). Two-sided fuzzy confidence interval for the fuzzy system reliability is constructed. The performance of fuzzy confidence interval is considered based on the coverage probability and the expected...
The purpose of this paper is to create an interval estimation of the fuzzy system reliability for the repairable multistate series–parallel system (RMSS). Two-sided fuzzy confidence interval for the fuzzy system reliability is constructed. The performance of fuzzy confidence interval is considered based on the coverage probability and the expected...
This research investigates series-parallel systems undergoing two-level burn-in procedure. In general,the system (product) that survived a burn-in process is sold under the renewable full service warranty (RFSW). In this study, a cost model is developed to calculate the optimal burn-in time and to minimize the total cost of products. The system cos...
The aims of this research are to study for an approach used in establish-ment of fuzzy reliability for non-repairable multi-state system under fuzzy environment. The Bayesian inference is used to create the fuzzy Bayes in-terval estimator for fuzzy reliability. For calculating the fuzzy Bayes interval estimator, the traditional Bayesian formula is...
This research aimed to study a series system undergoing a two-level burn-in procedure. A cost model was developed to calculate the optimal burn-in time and minimal total cost of products. Then the system cost model was used to analyze the effect of components and the systems that undergo a burn-in process. The numerical examples illustrated the fai...
Questions
Question (1)
I'm Ph.D. student in Applied Mathematics. My advisor and I look for professor that he can cooperate and apply our work for fuzzy Bayesian inference and fuzzy reliability. I have a fund for Short-term cooperation in research.