scholarly journals Economic Design of Acceptance Sampling Plans in a Two-Stage Supply Chain

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Lie-Fern Hsu ◽  
Jia-Tzer Hsu
Keyword(s):  
Supply Chain ◽  
Computer Software ◽  
Sampling Plan ◽  
Acceptance Sampling ◽  
Optimal Sampling ◽  
Total Quality ◽  
Two Stage ◽  
Quality Cost ◽  
Acceptance Sampling Plan ◽  
Acceptance Sampling Plans

Supply Chain Management, which is concerned with material and information flows between facilities and the final customers, has been considered the most popular operations strategy for improving organizational competitiveness nowadays. With the advanced development of computer technology, it is getting easier to derive an acceptance sampling plan satisfying both the producer's and consumer's quality and risk requirements. However, all the available QC tables and computer software determine the sampling plan on a noneconomic basis. In this paper, we design an economic model to determine the optimal sampling plan in a two-stage supply chain that minimizes the producer's and the consumer's total quality cost while satisfying both the producer's and consumer's quality and risk requirements. Numerical examples show that the optimal sampling plan is quite sensitive to the producer's product quality. The product's inspection, internal failure, and postsale failure costs also have an effect on the optimal sampling plan.

The economic design of variable acceptance sampling plan with rectifying inspection

Kybernetes ◽  
2015 ◽  
Vol 44 (3) ◽  
pp. 440-450 ◽  
Author(s):  
Ching-Ho Yen ◽  
Heng Ma ◽  
Chi-Huang Yeh ◽  
Chia-Hao Chang
Keyword(s):  
Sampling Plan ◽  
Acceptance Sampling ◽  
Total Quality ◽  
Quality Cost ◽  
Content Type ◽  
Acceptance Sampling Plan ◽  
Variable Sampling ◽  
Capability Indices ◽  
Sampling Cost ◽  
The One

Purpose – The purpose of this paper is to develop an economic model, which could determine the acceptance sampling plan that minimizes the quality cost for batch manufacturing. Design/methodology/approach – The authors propose a variable sampling plan based on one-sided capability indices for dealing with the quality cost requirement. Findings – The total quality cost is much more sensitive to process capability indices and inspected cost than internal and external failure costs. Research limitations/implications – The experimental data were randomly generated instead of real world ones. Practical implications – The proposed model is specifically designed for manufacturing industries with high sampling cost. Originality/value – The one-sided capability indices were utilized for the first time to be suitable for the purpose.

scholarly journals A Rectifying Acceptance Sampling Plan Based on the Process Capability Index

Mathematics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 141
Author(s):  
Ching-Ho Yen ◽  
Chun-Chia Lee ◽  
Kuo-Hung Lo ◽  
Yeou-Ren Shiue ◽  
Shu-Hua Li
Keyword(s):  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Superior Performance ◽  
Acceptance Sampling ◽  
Total Quality ◽  
Quality Cost ◽  
Capability Index ◽  
Acceptance Sampling Plan ◽  
Failure Cost

The acceptance sampling plan and process capability index (PCI) are critical decision tools for quality control. Recently, numerous research papers have examined the acceptance sampling plan in combination with the PCI. However, most of these papers have not considered the aspect of rectifying inspections. In this paper, we propose a quality cost model of repetitive sampling to develop a rectifying acceptance sampling plan based on the one-sided PCI. This proposed model minimizes the total quality cost (TQC) of sentencing one lot, including inspection cost, internal failure cost, and external failure cost. In addition, sensitivity analysis is conducted to investigate the behavior of relevant parameters against TQC. To demonstrate the advantages of the proposed methodology, a comparison is implemented with the existing rectifying sampling plan in terms of TQC and average outgoing quality limit. This comparison reveals that our proposed methodology exhibits superior performance.

scholarly journals Acceptance Sampling Plans Based on Truncated Life Tests for Gompertz Distribution

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Wenhao Gui ◽  
Shangli Zhang
Keyword(s):  
Sampling Plan ◽  
Acceptance Sampling ◽  
Gompertz Distribution ◽  
Confidence Levels ◽  
Acceptance Sampling Plan ◽  
Operating Characteristic Function ◽  
Acceptance Sampling Plans ◽  
Mean Lifetime ◽  
Truncated Life Test ◽  
Life Tests

An acceptance sampling plan for Gompertz distribution under a truncated life test is developed. For different acceptance numbers, consumer’s confidence levels and values of the ratio of the experimental time to the specified mean lifetime, the minimum sample sizes required to ensure the specified mean lifetime are obtained. The operating characteristic function values and the associated producer’s risks are also presented. An example is provided to illustrate the acceptance sampling plan.

A new economical scheme of acceptance sampling plan in a two-stage approach based on the maxima nomination sampling technique

2016 ◽  
Vol 39 (7) ◽  
pp. 1097-1103 ◽  
Author(s):  
MS Fallahnezhad ◽  
E Qazvini
Keyword(s):  
Sampling Technique ◽  
Sampling Plan ◽  
Quality Level ◽  
Acceptance Sampling ◽  
Two Stage ◽  
Sampling Inspection ◽  
Assurance System ◽  
Economical Design ◽  
Acceptance Sampling Plan ◽  
Proposed Model

An acceptance sampling plan plays a very important role in any quality assurance system. In this new economical design of acceptance sampling plan, three types of costs are included in the objective function by considering average outgoing quality limit (AOQL), average quality level (AQL) and lot tolerance percent defective (LTPD) constraints based on the maxima nomination sampling (MNS) method in a two-stage approach. The design of this sampling inspection plan involves the minimum average total inspection (ATI). The model is designed to minimize the summation of costs and the proposed MNS economical sampling plan is compared with the classical one. Practitioners can use the proposed model to decrease the total cost of inspection.

Two-Stage Group Acceptance Sampling Plan for Burr Type X Percentiles

2013 ◽  
Vol 41 (4) ◽  
pp. 20120209 ◽  
Author(s):  
Muhammad Aslam ◽  
Muhammad Azam ◽  
Y. L. Lio ◽  
Chi-Hyuck Jun
Keyword(s):  
Sampling Plan ◽  
Acceptance Sampling ◽  
Two Stage ◽  
Acceptance Sampling Plan ◽  
Group Acceptance

scholarly journals Group Acceptance Sampling Plans for Lifetimes Following an Exponentiated Fréchet Distribution

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
G. Srinivasa Rao ◽  
K. Rosaiah ◽  
M. Sridhar Babu
Keyword(s):  
Sampling Plan ◽  
Design Parameters ◽  
Acceptance Sampling ◽  
Fréchet Distribution ◽  
Acceptance Sampling Plan ◽  
Acceptance Sampling Plans ◽  
Truncated Life Test ◽  
Frechet Distribution ◽  
Termination Time ◽  
Group Acceptance

In this article, a group acceptance sampling plan is developed for exponentiated Fréchet distribution based on truncated lifetime with a known shape parameters. A group acceptance sampling plan for a truncated life test is proposed when a multiple number of items as a group can be tested simultaneously in a tester. The design parameters such as the number of groups and the acceptance number are determined using the two-point approach by satisfying the producer’s and the consumer’s risks at the specified quality levels, while the termination time and the number of testers are specified. The results are explained with tables and examples.

scholarly journals A Two-stage Group Sampling Plan Based on Truncated Life Tests for an Odd Generalized Exponential Log-logistic Distribution

2019 ◽  
pp. 1-14
Author(s):  
D. C. U. Sivakumar ◽  
G. Srinivasa Rao ◽  
K. Rosaiah ◽  
K. Kalyani
Keyword(s):  
Group Size ◽  
Sampling Plan ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Two Stage ◽  
Sample Number ◽  
Average Sample Number ◽  
Acceptance Sampling Plan ◽  
Group Acceptance ◽  
Average Sample

In this article, a time truncated life test based on two-stage group acceptance sampling plan is proposed for lifetime of an item follows odd generalized exponential log-logistic distribution (OGELLD). The ability about the lot acceptance can be made in the first or second stage according to the number of failures from each group. The optimal parameters for the proposed plan are determined such that both producer’s as well as consumer’s risks are contented simultaneously for the specified unreliability when group size and test duration are specified. The efficiency of the proposed sampling plan is evaluated in terms of average sample number with the existing sampling plan. The results are explained with the help of industrial example.  Using exploratory data analysis and then goodness-of-fit, we show a rough indication of the goodness of fit for our model by plotting the superimposed for the data shows that the OGELLD is a good fit and also it is emphasized with Q-Q plot, displayed in Fig. 1. We observed from the tables / results that the number of groups required decrease as the group size increases from  and also the ASN increases marginally, sample size decreases as the group size increases, which indicates that a larger group size may be more economical and it reduces the experimental time and cost. We proposed two-stage group acceptance sampling plan, since it performs much better in terms of the average sample number (ASN) and the operating characteristics than in single-stage group acceptance sampling plan. The advantage of two stage group sampling plan is that it reduces the average sample number (ASN) as compared to the GASP.

Sign in / Sign up

Export Citation Format

Share Document