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Introduction: Clinical hypnosis has been proposed for post-surgical pain management for its potential vagal-mediated anti-inflammatory properties. Evidence is needed to understand its effectiveness for post-surgical recovery. Iin this secondary outcome study, it was hypothesized that surgical oncology patients randomized to receive perioperative clinical hypnosis (CH) would demonstrate greater heart-rate variability (HRV) during rest and relaxation at a 1-month post-surgery assessment compared to a treatment-as-usual group (TAU). Methods: After REB approval, trial registration and informed consent, 92 participants were randomized to receive CH (n = 45) or TAU (n = 47). CH participants received a CH session before surgery and during post-surgical inhospital stay HRV was assessed during rest (5 min) and relaxation (10 min) before and 1-month after surgery. Pain intensity was obtained using a 0-10 numeric rating scale pre and post 1-week and 1-month post surgery. Results: One month after surgery, HRV was significantly higher in CH group (n = 29) during rest and relaxation (both p < 0.05, d = 0.73) than TAU group (n = 28). By contrast, rest and relaxation HRV decreased from pre- to 1-month post-surgery for the TAU (both p < 0.001, d > 0.48) but not the CH group. Pain intensity increased from pre-surgery to 1-week post-surgery (p < 0.001, d = 0.50), and decreased from 1-week to 1-month post-surgery (p = 0.005, d = 0.21) for all participants. Discussion: The results suggest that hypnosis prevents the deleterious effects of surgery on HRV by preserving pre-operative vagal activity. These findings underscore the potential of clinical hypnosis in mitigating the adverse effects of surgery on autonomic function and may have significant implications for enhancing post-surgical recovery and pain management strategies. [ABSTRACT FROM AUTHOR]

A control chart for monitoring process variation by using multiple dependent state (MDS) sampling is constructed in the present article. The operational formulas for in-control and out-of-control average run lengths (ARLs) are derived. Control constants are established by considering the target in-control ARL at a normal process. The extensive ARL tables are reported for various parameters and shifted values of process parameters. The performance of the proposed control chart has been evaluated with several existing charts in regard of ARLs, which empowered the presented chart and proved far better for timely detection of assignable causes. The application of the proposed concept is illustrated with a real-life industrial example and a simulation-based study to elaborate strength of the proposed chart over the existing concepts. [ABSTRACT FROM AUTHOR]

A multiple state repetitive group sampling (MSRGS) plan is developed on the basis of the coefficient of variation (CV) of the quality characteristic which follows a normal distribution with unknown mean and variance. The optimal plan parameters of the proposed plan are solved by a nonlinear optimization model, which satisfies the given producer's risk and consumer's risk at the same time and minimizes the average sample number required for inspection. The advantages of the proposed MSRGS plan over the existing sampling plans are discussed. Finally an example is given to illustrate the proposed plan. [ABSTRACT FROM AUTHOR]

This article proposes a new control chart to monitor the process mean based on the sample statistics from two successive occasions. First occasion units are independently drawn to obtain information of the study variable, and the second occasion units are drawn collectively with a retained portion of first occasion as matched units, while the other portion is the collection of the fresh units from the remaining unselected units at first occasion. The in-control and out-of-control average run lengths (ARLs) are derived for performance assessment under mean shifts. The performance of the proposed control chart is compared with traditional Shewhart control chart and a EWMA chart in terms of ARLs, which exhibits better performance when process is shifted from the target mean. [ABSTRACT FROM AUTHOR]

The coefficient of variation (CV) is an important quality parameter to measure the product quality. A variable repetitive group sampling (VRGS) plan based on the CV is developed in this paper when the quality characteristic follows normal distribution. The optimal plan parameters of the proposed VRGS plan are determined by satisfying the commonly used producer’s risk and consumer’s risk at the same time by minimizing the average sample number (ASN) and then tabulated for various combinations of acceptance quality level and limiting quality level. Moreover, the efficiency of the proposed VRGS plan is compared with the single sampling plan and the two-stage sampling plan. The results show that proposed plan has better performance than existing sampling plans in terms of ASN. Finally, the proposed VRGS plan is illustrated with an industrial example. [ABSTRACT FROM AUTHOR]

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We will design a new mixed acceptance sampling plan based on the exponentially weighted moving average statistic in this article. The plan parameters of the proposed plan are determined by an optimization problem. The efficiency of the proposed plan is compared with the existing attribute sampling plan. An industrial example is given for illustration purpose. [ABSTRACT FROM AUTHOR]

A new mixed sampling plan which is a combination of the attribute single sampling plan and variables resampling scheme based on EWMA statistic is proposed in this paper. The operating characteristic function of the proposed plan is derived and the plan parameters are determined such that the probability of acceptance of good lot is larger than the specified producer's confidence level and the bad lot acceptance probability is smaller than the consumer's confidence level. The efficiency and the advantages of the proposed plan are discussed over the existing attribute sampling plan. The extensive tables are provided for industrial applications. The use of tables is discussed with the help of a real-time industrial example. [ABSTRACT FROM PUBLISHER]

In this paper, we propose a control chart using exponentially weighted moving average (EWMA) statistic for count data based on the Conway-Maxwell-Poisson (called COM-Poisson) distribution. Repetitive sampling is considered by constructing two pairs of control limits for the proposed control chart. The performance of the proposed control chart is evaluated using the average run length (ARL) for various values of specified parameters. It has been observed that the proposed control chart is more efficient in terms of ARLs as compared to the existing control charts. The tables are provided and explained with the help of example. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In this paper, a cost model for a group sampling scheme is proposed for inspection of the lifetime of a product when the lifetime of the product follows a Weibull distribution. The optimal parameters of the group sampling plan are determined by minimizing the total cost and satisfying both the producer's risk and the consumer's risk simultaneously for the specified values of termination time, number of testers, and median ratio as the quality parameter. The application of the proposed plan is given in metrology for the inspection of chip products. We have conducted a comparative study, and it shows that the use of the proposed plan for testing the chips minimized the cost more than the existing acceptance sampling plan. Tables are provided, along with the total cost required for the life test. [ABSTRACT FROM AUTHOR]

A new mixed sampling plan with a variable lot size plan is developed in this manuscript using the process capability index. The operating characteristic function of the proposed plan is derived and the plan parameters are determined using the non-linear optimization procedure for symmetric and asymmetric fraction non-conforming cases. It is also shown that the proposed plan is more efficient than existing acceptance sampling plans. Industrial data is presented to explain the application of the proposed plan. [ABSTRACT FROM AUTHOR]

In this manuscript, three repetitive types of sampling plans using the generalized process capability index of multiple characteristics are presented, which include a repetitive sampling plan, a resubmitted sampling plan and a multiple dependent state repetitive sampling plan. The plan parameters of these sampling schemes are determined through the nonlinear optimization solution. The comparison among these proposed plans is made in terms of the average sample number required. The use of the proposed plans is given with the help of an industrial example. [ABSTRACT FROM AUTHOR]

In this manuscript, we will focus on the development of a lot acceptance sampling plan for a multi-stage process based on time-truncated tests when the lifetime of a product follows a Weibull distribution. We will consider a plan when a single item is installed on a single tester (ordinary sampling plan) and another plan when multiple number of items can be installed on a single tester (group sampling plan). We will determine the plan parameters of the proposed sampling plans using the nonlinear optimization solution so as to minimize the average sample number. The tables are presented and explained with the help of an industrial example. [ABSTRACT FROM AUTHOR]

In this paper, we will present a control chart for exponentially distributed quality characteristics using multiple dependent state sampling. The proposed control chart has double control limits with two control coefficients, which is based on a normal approximation through transformation. The control coefficients are determined by considering the average run length (ARL) when the process is in control. The ARL for the shifted process is reported according to various shift ratios. The efficiency of the proposed control chart over the existing t-chart is compared in terms of the ARL. [ABSTRACT FROM AUTHOR]

This article deals with the optimal designing of skip-lot sampling plan of type SkSP-2 based on time-truncated life tests by considering two-stage group sampling plan as the reference plan under Burr type X and XII distributions. The optimal plan parameters are determined such that the specified producer's risk and consumer's risk are satisfied for given values of experiment time, percentile ratios, and percentile values. Extensive tables are also provided for various values of shape parameters. Examples reveal the use of the plan in laboratory experiments. [ABSTRACT FROM PUBLISHER]

Abstract: A repetitive mixed sampling plan based on the process capability index is proposed in this manuscript. The proposed plan is applicable to the inspection of the product whose lifetime follows the normal distribution. The plan parameters of the proposed mixed plan are determined by satisfying the given producer’s risk and consumer’s risk at the same time for the specified acceptable quality level and limiting quality level. Symmetric and asymmetric cases in quality levels beyond specification limits are discussed and tables are presented for both cases. The comparison of the proposed mixed plan is made with the attributes repetitive plan and variables repetitive plan. Real example is given to explain the proposed plan. [Copyright &y& Elsevier]

A two-stage group acceptance sampling plan for the percentile of lifetimes which have the Burr type X distribution is discussed under the time truncated life test. The sampling plan parameters for the two-stage sampling plan are determined such that the producer's risk and consumer's risk are satisfied simultaneously for the given tester size and experiment time. The advantage of the proposed two-stage sampling plan over the single-stage sampling plan is also discussed. Useful tables are given for practical purpose. [ABSTRACT FROM AUTHOR]

This paper extends the idea of multiple dependent state sampling plans to the case of using process capability index when the quality characteristic of the product follows the normal distribution. The plan parameters are determined using the optimization process with minimum values of sample size so that the specified producer's risk and consumer's risk should be satisfied simultaneously for given values of acceptable quality level and limiting quality level in terms of fraction defective beyond two specification limits. The plan parameters are determined under symmetric and asymmetric cases of fraction defective. The advantage of the proposed plan is discussed over the single variable sampling plan. A real example is presented to illustrate the proposed plan in practice. [ABSTRACT FROM AUTHOR]

Vidya (2008) proposed the chain sampling plan ChSP-4 (c1,c2) and determined the plan parameters by minimizing the variance and VOQL. In this paper, ChSP-4 (c1,c2) plan is presented under the re-submitted sampling plan. The optimal parameters of the proposed plan are determined using the optimization procedure so that producer's risk and consumer's risk are simultaneously satisfied. Tables for the proposed and ChSP-4 (c1,c2) plans are presented. The advantage of the proposed plan over the Vidya (2008) plan is discussed. The proposed plan is illustrated by suitable example. [ABSTRACT FROM AUTHOR]

The problem of estimation of the population variance for the current occasion based on the samples selected over two successive occasions has been considered. Expressions for the Optimum estimator and its variance have been derived for both the occasions. Also the expression has been derived when no information has been collected on the first occasion. Expression for the Optimum fraction of unmatched observations has been derived. The values of Optimum matched and unmatched fractions have been tabulated. The gain in efficiency of the proposed estimator is compared to the estimator without using the information collected on the first occasion. An empirical study has also been conducted to study the performance of the proposed strategy. [ABSTRACT FROM AUTHOR]

Abstract: In this article, a variables sampling inspection plan for resubmitted lot based on the process capability index Cpk is developed for normally distributed items with unknown mean and variance. The three plan parameters, sample size n, critical acceptance value ka and the number of resubmissions m, are determined simultaneously by minimizing average sample number (ASN) with two conditions specified by the producer and the consumer. The advantages of the proposed resubmitted sampling plan over the variables single sampling plan are also discussed. Tables of plan parameters for selected values of acceptable quality level (AQL), limiting quality level (LQL), producer’s α-risk and consumer’s β-risk are provided and discussed with the help of an application example. [Copyright &y& Elsevier]