Multiple Dependent State Sampling Inspection Plan for Lindley Distributed Quality Characteristic

Abstract This article develops multiple dependent state (MDS) sampling inspection plans based on the mean of lifetime quality characteristic that follows non-normal distributions viz., exponential and Lindley distribution. In this plan, the lot quality is measured by the lot mean (𝜇). We have estimated the optimal plan parameters of the proposed technique by non-linear optimization approaches considering acceptable quality level and rejection quality level. We have compared the sample size between the MDS sampling inspection plan and the single sampling inspection plan for the variable. Finally, we have taken two examples to illustrate the proposed technique.

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Glossary

Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences ◽

10.1098/rsta.1989.0019 ◽

1989 ◽

Vol 327 (1596) ◽

pp. 635-638

Keyword(s):

Control Chart ◽

Quality Level ◽

Acceptance Sampling ◽

Sampling Inspection ◽

Inspection Plan ◽

Acceptable Quality ◽

Acceptable Quality Level ◽

Acceptance Control ◽

Control Limits ◽

Product Specification

Acceptance control chart A cross between a sampling inspection plan and a control chart. Control limits are based on product specification and are intended to detect assignable causes that would lead to the production of an unacceptable fraction of nonconforming product. Acceptable quality level (AQL) Maximum per cent defective considered satisfactory for a process average. Acceptance sampling Acceptance or rejection of a product or process on the basis of sampling inspection

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Selection of multiple deferred (dependent) state sampling plans for given acceptable quality level and limiting quality level

Journal of Applied Statistics ◽

10.1080/02664769300000041 ◽

1993 ◽

Vol 20 (3) ◽

pp. 423-428 ◽

Cited By ~ 23

Author(s):

K. Govindaraju ◽

K. Subramani

Keyword(s):

Quality Level ◽

Sampling Plans ◽

Acceptable Quality ◽

Acceptable Quality Level ◽

Limiting Quality Level ◽

Dependent State ◽

Selection Of

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VARIABLES QUICK SWITCHING SYSTEM WITH DOUBLE SPECIFICATION LIMITS

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539312500088 ◽

2012 ◽

Vol 19 (02) ◽

pp. 1250008 ◽

Cited By ~ 10

Author(s):

S. BALAMURALI ◽

M. USHA

Keyword(s):

Characteristic Curve ◽

Quality Characteristic ◽

Quality Level ◽

Switching System ◽

Sampling System ◽

Sample Number ◽

Specification Limits ◽

Acceptable Quality ◽

Acceptable Quality Level ◽

Limiting Quality Level

This paper investigates a variables quick switching sampling system when a measurable quality characteristic has double specification limits beyond which an item is considered to be a nonconforming. The quality characteristic of interest is assumed to follow a normal distribution. The optimal parameters of the variables quick switching system are determined for both known and unknown standard deviations which satisfy the producer's and consumer's risks at the corresponding specified quality levels. Symmetric and asymmetric cases based on the fraction nonconforming by the lower and the upper specification limits are also considered. The problem is formulated as a nonlinear programming where the objective function to be minimized is the average sample number and the constraints are related to a lot of acceptance probabilities at acceptable quality level and limiting quality level under the operating characteristic curve.

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Assessment of Strength Compliance with Standards for Tanzania Eucalyptus Wood Poles Treated with Copper-Chromium-Arsenic Compounds

Tanzania Journal of Engineering and Technology ◽

10.52339/tjet.v30i2.404 ◽

2007 ◽

Vol 30 (2) ◽

pp. 110-118

Author(s):

Alex Lyatonga Mrema

Keyword(s):

South African ◽

Power Transmission ◽

Quality Level ◽

Arsenic Compounds ◽

Loading Test ◽

Eucalyptus Wood ◽

Acceptable Quality ◽

Average Modulus ◽

Acceptable Quality Level ◽

Copper Chromium

Samples of copper-chromium arsenic compounds (CCA) treated Eucalyptus poles for power transmission were sampledfrom a lot following Military Standard MIL-STD 105D, Single sampling, Tightened Inspection, Acceptable Quality Level(AQL) of 4 as provided for in the South African Standard SABS 754:1994 from lots containing 151-500 poles. Sampleswere randomly selected from a lot. Maximum fiber stresses were evaluated taking into account the actual taper in eachpole. The cantilever loading test was performed on the samples following SABS 754:1994. It was found out that theaverage taper for the poles was smaller than that assumed in the standard due to the different pole growthcharacteristics and environment in Tanzania and that the average modulus of elasticity obtained for the poles was lowerthan the average assumed in SABS 754:1994. The poles also showed excessive deflections at working loads. It isrecommended to the Tanzania Bureau of Standards that although SABS 754:1994 is meant to be used for eucalyptuspoles grown in Southern Africa south of the Sahara that are treated with creosote or CCA there is a need to review it totake into account the actual characteristics of the poles grown in Tanzania where they are normally grown in highlandareas with higher rainfall and colder climates.

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Mejoramiento de la calidad en la recepción de materias primas, mediante la implementación de un plan de muestreo por variables

Revista de Ingeniería Industrial ◽

10.35429/jie.2020.13.4.19.31 ◽

2020 ◽

pp. 19-31

Author(s):

Fernando Hernández-Benito ◽

Martín González-Sóbal ◽

Montserrat Gómez-Márquez ◽

Miguel Ángel Solís-Jiménez

Keyword(s):

Sampling Plan ◽

Raw Material ◽

Quality Level ◽

Current State ◽

Acceptable Quality ◽

Inspection Process ◽

Acceptable Quality Level ◽

Action Strategies ◽

Process Methodology

Objective: To guarantee the adequate inspection of raw material and packaging material by the inspection-receipt area by implementing an effective sampling plan that allows reducing the percentage of defective raw material and its impact on the production process. Methodology: It is based on the continuous improvement cycle (PHVA) within which a diagnosis is made to determine the current state of the inspection process, which will allow defining new action strategies aimed at standardizing the inspection process, through the implementation of a sampling plan by variables based on the MIL-STD 414 standard, once implemented, this process is documented, at the same time the integration of suppliers is carried out, through periodic evaluations in order to know the dynamics of the new inspection process and work only with those suppliers committed to the quality of their inputs. Contribution: Reduction of the percentage of defective raw material, from 21% to 13%, which means an acceptable quality level of the materials of 87%.

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