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Testing of Protective Effect against Liquid Chemicals
Published in Robert N. Phalen, Howard I. Maibach, Protective Gloves for Occupational Use, 2023
The two EN standard test methods can be used for standard quality control testing, as the whole glove is used. They also have the same requirements concerning the sampling procedure for inspection, with reference to the ISO 2859-1: Sampling Procedure for Inspections by Attributes.48,59 Three inspection levels determine the relationship between the lot or batch size and the sample size. The AQL (acceptable quality level) is a designated value of defects per hundred units that the consumer indicates will be accepted most of the time by the acceptance sampling procedure to be used. If more than a given number of the tested gloves fails (AQL), the lot/or batch shall be rejected. The standard quality control testing and virus penetration are discussed in more detail in Chapter 11.
Weighted Multi-Attribute Acceptance Sampling Plans
Published in Lirong Cui, Ilia Frenkel, Anatoly Lisnianski, Stochastic Models in Reliability Engineering, 2020
Xian Zhao, Congshan Wu, Leping Sun, Yu Fan
An acceptance sampling plan is defined as the inspection and classification of a sample of products selected at random from a larger lot and the ultimate decision about the disposition of the lot (Montgomery, 2009). It plays an important role in the field of statistics and has wide applications in industrial quality control, such as food classification management, epidemic control, and so on. The attributes sampling plan is one of the most important acceptance sampling plans and its basic form is the (n, c) sampling plan. For the (n, c) sampling plan, n products are selected at random from a lot, and the lot is accepted if the number of defectives is no more than a threshold c in the sample. Otherwise, the lot is rejected if there are more than c defectives in the sample (Montgomery, 2009).
Quality Management
Published in Susmita Bandyopadhyay, Production and Operations Analysis, 2019
Control charts are an effective way to determine in real-time whether any deviation in process parameters has happened (Nahmias, 2004). Acceptance sampling is another method of quality control which is used to check the quality of the manufactured products. Because of huge expensive task of checking each item produced, a sample is selected at random for inspection for the quality parameters on the basis of which the quality parameters of the entire population of items is inferred. Acceptance sampling was proposed by Dodge and Romig during World War II. Instead of testing each item of the entire lot, samples are checked for quality level mainly because of the following reasons. Checking each item is extremely time-consuming and extremely tedious100% inspection is expensiveThere is more chance of damaging the product in case of 100% inspectionMishandling of the product may cause damage to the product
Developing and Optimal Designing of a Two-Level Skip-Lot Sampling Reinspection Plan
Published in American Journal of Mathematical and Management Sciences, 2023
N. Murugeswari, P. Jeyadurga, S. Sridevi, S. Balamurali
Quality has emerged as one of the foremost factors in decision-making for the consumer in selecting products. Generally, people concentrate on selecting the products with the intention that the products should possess excellent quality. The foremost feature of quality assurance is the inspection of raw materials and finished products. Acceptance sampling is one of the tools of product control techniques used for evaluating the quality of the submitted lot based on the specified attribute or variable quality characteristics. It probably minimizes the time and cost of inspection as opposed to 100% inspection and motivates the producer efficiently to improve the quality of the product. Acceptance sampling involves the risk of accepting a poor quality lot (i.e., consumer’s risk β) as well as the risk of rejecting a good quality lot (i.e., producer’s risk α). Producer quality level (PQL) is the maximum proportion of nonconforming items in the sampled product considered to be acceptable, and the consumer quality level (CQL) is the highest proportion of nonconforming items to be restricted that the consumer has the willingness to accept the lot. Eventually, based on the result(s) of the sampled items randomly drawn from the submitted lot, the decision acceptance or rejection of the lot is taken with the help of acceptance sampling plans.
Repetitive acceptance sampling plan for odds exponential log-logistic distribution based on truncated life test
Published in Journal of Industrial and Production Engineering, 2021
K. Kalyani, G. Srinivasa Rao, K. Rosaiah, D.C.U. Sivakumar
In present situation quality became most important role in any business organizations to survey in a global business market. The high quality of the products will improve the lifetime of the products. So the product lifetime plays a significant factor to attract the consumer to branded products. It ultimately increases the consumer confidence with the longer lifetimes. Therefore, the companies are trying to maintain the quality at all stages of manufacturing process by using various statistical tools and techniques such that it minimizes the risk of accepting defective items. In practical situation, it may not be possible to inspect each and every item due to time and cost of expense. In such situation the acceptance sampling plan is most widely used for lot sentencing. Acceptance sampling scheme not only strengthen the producer to improve quality of the product but also helps in lot sentencing. There are mainly two types of acceptance sampling plans are there (1) Attribute sampling plan (2) variable sampling plan. The applications of the acceptance sampling plan can be found in [1, 2],and [3].
Optimum life test plan for Type-I hybrid censored Weibull distributed products sold under general rebate warranty
Published in International Journal of Production Research, 2020
Jimut Bahan Chakrabarty, Shovan Chowdhury, Soumya Roy
In manufacturing and production industries, acceptance sampling is one of the widely employed techniques for industrial quality control. It helps manufacturing houses in tackling the problem of selection of a lot or batch of raw materials or any other component units. The disparity between the required and the actual quality of supplied manufactured goods can be diminished considerably with acceptance sampling plans (Wu, Wu, and Chen 2015). Acceptance sampling is also considered as a cost-effective and time-effective inspection tool adopted by the vendor and the buyer for product quality or reliability assurance (Wu and Wang 2017) and forms a major part of the supplier–buyer manufacturing and purchasing contract (Wu, Wang, and Shu 2015). Quality of a product shapes beliefs of customers and hence can have an impact on sales which further justifies the importance of acceptance sampling plans. Typically an acceptance sampling plan can be described as follows: Let us suppose that a shipment of raw materials of size N is received by a manufacturing unit. A sample of size n is drawn from a lot of raw materials received and some pre-specified quality characteristics are examined. The information obtained from the inspected sample is wielded to reach the conclusion on acceptance or rejection of the lot. Acceptance sampling plans which deal with the lifetime of products as a quality attribute are called reliability acceptance sampling plans or life testing plans (LTP).