• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.41
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• pp.147-156
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• 1997

This Study deals with the problem of determining a minimum cost sampling inspection plan for destructive testing by attribute. The linear cost model(LCM) is constructed under the assumption that unit cost, destructive testing cost, producer's risk cost, consumer's risk cost are given. For the solution from the LCM, we assumed the uniform distribution as a prior distribution.

• Journal of Korean Society for Quality Management
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• v.13 no.2
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• pp.48-55
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• 1985

This paper intends to decide the optimum OC curves and to find the minimized ${\alpha}$, ${\beta}$-risk based upon the Linear Cost Model (L.C.M.) for the destructive or nondestructive acceptance sampling inspection plan. For the solution from the L.C.M., we assume the uniform distribution as a Prior-distribution and use numerical analysis by computer.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.255-267
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• 2006

제품을 로트(lot)단위로 구분하고 로트에서 취한 샘플을 검사하여 얻은 품질 특성의 값을 이용해서 로트의 합격여부를 판정하는 것을 샘플링검사(sampling inspection)라 하고, 검사하는 품질특성이 제품의 수명 특성치인 경우에 이를 신뢰성 샘플링 검사(reliability sampling inspection)라 한다. 그 중 벌크재료에 대한 샘플링 검사방식을 알아 보도록한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.14 no.24
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• pp.187-192
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• 1991

We consider a filling process problem on a production line. Up to present this problem have examined by 100% inspection. Thus a target value is determined which takes into account the regular selling prices, the reprocess cost, the excess quality cost and the process variability and so on. However, in this paper we propose a solution under specified sampling plan when the inspection is nondestructive.

• Journal of Korean Society for Quality Management
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• v.27 no.1
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• pp.135-150
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• 1999

The second edition of the International Standard ISO/DIS 2859-1(1997) is the revised version of ISO 2859-1(1989). Significant changes in this edition include the following; ⅰ) a new procedure for switching from normal to reduced inspection is used, ⅱ) optional fractional acceptance number sampling plans are added, and ⅲ) reduced plans are changed to eliminate the gap between the acceptance and rejection numbers. In this paper, major changes and additions incorporated into the revised version are discussed.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.811-818
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• 2008

This paper is the generalization of the modified two-level skip-lot sampling plan(MTSkSP2) to n-level. The general formulas of the operating characteristic(OC) function, average sample number(ASN) and average outgoing quality(AOQ) for the plan are derived using Markov chain properties.

• Journal of Ship and Ocean Technology
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• v.2 no.1
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• pp.42-57
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• 1998

Genetic Algorithm (GA) is applied to obtain optimal Inspection plan for fatigue deteriorating structures. The optimization problem is defined so as to minimize inspection cost in the 1ifs-time of the structure under the constraint that the increment of failure probability in each inspection interval is maintained below a target value. Optimization parameters are the inspection timing and the inspection quality. The inspection timing is selected from the discrete intervals such as one year, two years, three years, etc. The inspection quality is selected from the followings; no inspection, normal inspection, sampling inspection or precise inspection. The applicability of the proposed GA approach is demonstrated through the numerical calculations assuming a structure consisting of four member sets. Influences of the level of target failure probability, initial defect condition and stress increase due to plate thickness reduction caused by corrosion on inspection planning are discussed.

• Journal of the Korea Safety Management & Science
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• v.6 no.4
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• pp.83-97
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• 2004

The growing importance of product quality is becoming more and more daily apparent as we enter the age of globalization around the world. And the product safety is getting more focus as well as product quality. As a result, many domestic companies are putting a lot of emphasis on safety measures and management activities and these companies' products are mainly superior to other companies' product. When we separate the product quality procedure into 3 steps, i.e. quality secure-quality confirm-quality guarantee, of course the 1st step is the most important, but also End step of product quality confirm process is important. And in mass production environment, sampling inspection is more desirable than the 100 % inspection procedure. As a part of globalization trend, KS system is also being revised and reestablished based on ISO, IEC, etc. which are based on international standard. Conventional KS sampling inspection standards were in many areas quite different from ISO sampling standards, only KS A 3102, 3104, 3151 are left and the rest become obsolete, and even the ones that are still around are planned to the gone step by step. It has been already 3 years since the new KS A ISO 2859-0-3 sampling inspection process has been established which the abolition of the popular KS A 3101, KS A 3105, KS A 3109, yet the implementation rate is very slow. This study will attempt to analyze the new KS A ISO 2859-2 and KS A ISO 2859-3, and try to understand the difference as that the new standard can be easily understood and used widely among companies, by using examples. Our attempt is to help implement with the companies with active safety involvement but the final result can be spread among other companies as well in the near future.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.153-164
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• 2004

The growing importance of product quality is becoming more and more daily apparent as we enter the age of globalization around the world. And the product safety is getting more focus as well as product quality. As a result, many domestic companies are putting a lot of emphasis on safety measures and management activities and these companies' products are mainly superior to other companies' product. When we separate the product quality procedure into 3 steps, i.e. quality secure-quality confirm-quality guarantee, of course the 1st step is the most important, but also 2nd step of product quality confirm process is important. And in mass production environment, sampling inspection is more desirable than the $100\;\%$ inspection procedure. As a part of globalization trend, KS system is also being revised and reestablished based on ISO, IEC, etc. which are based on international standard. Conventional KS sampling inspection standards were in many areas quite different from ISO sampling standards, only KS A 3102, 3104, 3151 are left and the rest become obsolete, and even the ones that are still around are planned to the gone step by step. It has been already 3 years since the new KS A ISO $2859-0\sim3$ sampling inspection process has been established which the abolition of the popular KS A 3101, KS A 3105, KS A 3109, yet the implementation rate is very slow. This study will attempt to analyze the new KS A ISO 2859-2 and KS A ISO 2859-3, and try to understand the difference as that the new standard can be easily understood and used widely among companies, by using examples. Our attempt is to help implement with the companies with active safety involvement but the final result can be spread among other companies as well in the near future.

• IE interfaces
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• v.24 no.1
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• pp.87-96
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• 2011

In this paper, we address an optimization problem for minimizing the inspection and rework cost in an inspection-rework system, which forms a network of nodes including a K-stage inspection system, storage areas for items, a source inspection shop, and a re-inspection shop. We assume that (n, 0) acceptance sampling is performed in the source inspection shop and that only 100(1-r)% of items of rejected lots are re-inspected in the re-inspection shop. Since all the nodes are interrelated, in order to formulate our steady-state objective function, we make a steady-state network flow analysis between nodes, and derive both the steady-state amount of flows between nodes and the steady-state fraction defectives by solving a nonlinear balance equation. Finally we provide some fundamental properties and an enumeration procedure for determining the optimal values of (K, r) which both minimizes our objective function and attains a given target average outgoing quality.