Attribute sampling is a method used to evaluate whether a product meets quality standards. It involves randomly selecting samples from each batch of goods to determine if they are acceptable or defective. While it is efficient, there is a risk of overlooking inferior units, so some manufacturers use a two-pronged approach.
Attribute sampling is a strategy used to determine whether or not a particular product meets the standards of a buyer or seller. Companies often use this approach as a means of evaluating raw materials for use in the production of goods and services, as well as a mechanism for making sure that finished products meet the quality standards set by the manufacturer. There are several benefits to this type of inspection process, as well as a couple of potential liabilities.
Attribute sampling follows a basic approach of randomly selecting samples from each batch of goods under investigation. The exact number of samples will vary, depending on the type of commodity being tested and the number of units included in the lot. Typically, the idea of an attribute sampling plan is to include enough units to develop a good sense of the overall quality of the lot. By evaluating each of the samples and deciding whether each is acceptable or defective, it is possible to determine if the lot is good enough for sale or should be rejected.
Using an attribute sampling approach works very well in a production environment. Companies such as textile companies depend on the use of quality raw materials to produce their finished product lines. In the event that these raw materials are not up to the standards set by the company, the manufactured products will also be inferior to the first quality. This in turn means that the units have to be sold as secondary or low-quality goods at greatly reduced rates, meaning that manufacturing makes very little profit on such low-quality goods. By taking random samples of raw materials before they are actually introduced into the manufacturing process, it is possible to minimize the production of second-rate products and produce more first-rate items that can be sold at a higher per-unit profit.
While attribute sampling is a quick and efficient way to evaluate lots for purchase or sale, there is one drawback to keep in mind. By choosing to go with this approach rather than a full inspection of all the goods in question, there is the possibility of overlooking one or more units which are obviously inferior. This can cause a variety of quality issues during the manufacturing process, as well as damage customer relationships in the event that manufactured defective goods are actually shipped to customers. For this reason, many manufacturers adopt a two-pronged approach that begins with attribute sampling and progresses to a full lot-wide evaluation if a certain percentage of defective units are found during random sampling.
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