Process yield analysis for autocorrelation between linear profiles

Wang, Fu‐Kwun; Tamirat, Yeneneh

doi:10.1016/j.cie.2014.02.006

Cited by 25 publications

(18 citation statements)

References 24 publications

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“…Wang and Tamirat [5] derived the following process yield index for autocorrelation between linear profiles. This index is used to describe the relationship between manufacturing specifications and actual process yield.…”

Section: Yield Index For Autocorrelation Between Linear Profilesmentioning

confidence: 99%

“…Furthermore, [5] derived the asymptotic normal distribution of index ;AR (1) , which is given as follows:…”

Section: Yield Index For Autocorrelation Between Linear Profilesmentioning

confidence: 99%

“…A process yield index with the lower confidence bound for simple nonlinear and linear profiles can be found in [3] and [4], respectively. In the presence of autocorrelation between profiles [5] developed a process yield index ;AR (1) with its approximate lower confidence bound. The author's simulation study confirmed the method performs well-regarding bias and coverage rate.…”

Section: Introductionmentioning

confidence: 99%

“…However, in some manufacturing processes, data is correlated or self-dependent. The effect of autocorrelations on the statistical properties of yield indices can be found in [5]. Accordingly, when dealing with sampling plans based on yield index the autocorrelation effect has to be taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

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Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Tamirat

Wang

Chen³

2017

Mathematical Problems in Engineering

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We present four new sampling schemes by variables inspection to deal with the first-order autoregressive model between linear profiles. The first plan is based on exponentially weighted moving average (EWMA) and the rest of three plans are using the resubmitted sampling, repetitive group sampling (RGS), and multiple dependent state (MDS) sampling schemes. The nonlinear optimization problem is developed to find the number of profiles and the corresponding acceptance criteria, such that the producer's and consumer's risk are satisfied simultaneously. The efficiency of the proposed plans is compared with the conventional single sampling plan in terms of average sample number and the probability of acceptance. The result implies that all of the proposed sampling plans are superior to the single acceptance sampling plan by variables. In addition, the EWMA method appeared to be better than the others. The applications of proposed plans are shown with the help of industrial examples taken from calibration of an optical imaging system, and tire cornering stiffness test.

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Section: Yield Index For Autocorrelation Between Linear Profilesmentioning

confidence: 99%

“…Furthermore, [5] derived the asymptotic normal distribution of index ;AR (1) , which is given as follows:…”

Section: Yield Index For Autocorrelation Between Linear Profilesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Tamirat

Wang

Chen³

2017

Mathematical Problems in Engineering

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“…Recently, many studies have proposed different approaches in order to overcome this problem. For example, Chou et al, [24] Chen and Chen, [25] and Wang and Tamirat [26] used the sampling distribution of PCIs to derive an approximate lower confidence limit (LCL) of PCIs. Tong and Chen [27] and Pearn and Wu [28] applied a bootstrap approach to compute the LCLs of the PCIs.…”

Section: Introductionmentioning

confidence: 99%

Construction of closed interval for process capability indicesC_pu,C_pl, andS_pkbased on Boole’s inequality and de Morgan’s laws

Hsu

Chen

Yang

2016

Journal of Statistical Computation and Simulation

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Considerable effort has been spent on the development of confidence intervals for process capability indices (PCIs) based on the sampling distribution of the PCI or the transferred PCI. However, there is still no definitive way to construct a closed interval for a PCI. The aim of this study is to develop closed intervals for the PCIs C pu , C pl , and S pk based on Boole's inequality and de Morgan's laws. The relationships between different sample sizes, the significance levels, and the confidence intervals of the PCIs C pu , C pl , and S pk are investigated. Then, a testing model for interval estimation for the PCIs C pu , C pl , and S pk is built as a powerful tool for measuring the quality performance of a product. Finally, an applied example is given to demonstrate the effectiveness and applicability of the proposed method and the testing model. ARTICLE HISTORY

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Microbial biosurfactants: A broad analysis of properties, applications, biosynthesis, and techno‐economical assessment of rhamnolipid production

Moutinho

Moura

Silvestre

et al. 2020

Biotechnology Progress

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Biosurfactants are surface-active molecules originated from renewable resources, which are produced by microbial fermentation or chemical/enzymatic catalysis. These molecules present important advantages as compared to petrochemical surfactants, given their resistance to extreme conditions, biodegradability, specificity, and environmental compatibility. Besides that, the high production costs hinder its commercialization. In this way, this article aimed to analyze microbial biosurfactants production, focusing on the optimization of metabolic pathways and production processes, to identify key aspects and provide alternatives to allow a cost-effective production at industrial scale. This was achieved by a broad analysis of biosurfactants properties, applications, and biosynthetic pathways (in terms of yield, cofactors, and energy), in addition to an assessment of production-associated costs. As a result of the present extensive data survey and analysis, key production aspects are disclosed. The metabolic pathway yield analysis demonstrated that production of biosurfactants can be significantly improved (highest theoretical yield was 0.47 g biosurfactant /g substrate ) by the use of biomolecular engineering techniques to generate optimized synthetic pathways. With an alternative proposed pathway for surfactin, yield was improved and imbalance in cofactors and ATP was reduced. Analysis of productive costs indicated that to make rhamnolipids commercial production feasible, the main efforts should focus on lowering substrate costs as well as the identification of energy-efficient unit operations to lower electricity cost, since these parameters accounted for 19.36 and 78.22%, respectively, of the production costs. The data generated by this analysis highlight the need for multidisciplinary collaboration to make rhamnolipids economically feasible, including biomolecular engineering and process intensification.

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Process yield analysis for autocorrelation between linear profiles

Cited by 25 publications

References 24 publications

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Construction of closed interval for process capability indicesC_pu,C_pl, andS_pkbased on Boole’s inequality and de Morgan’s laws

Microbial biosurfactants: A broad analysis of properties, applications, biosynthesis, and techno‐economical assessment of rhamnolipid production

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Process yield analysis for autocorrelation between linear profiles

Cited by 25 publications

References 24 publications

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Construction of closed interval for process capability indicesCpu,Cpl, andSpkbased on Boole’s inequality and de Morgan’s laws

Microbial biosurfactants: A broad analysis of properties, applications, biosynthesis, and techno‐economical assessment of rhamnolipid production

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Product

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Construction of closed interval for process capability indicesC_pu,C_pl, andS_pkbased on Boole’s inequality and de Morgan’s laws