Improving Quality Of Production And Manufacturing Using Acceptance Sampling

By Patty Goff


Numerous questions have been fronted on the ways organizations designs and implements strategies to ensure that its products are compliant with the set standards. This is often done by most organizations through checking inputs. Information obtained is further compared with their own set quality standards and generated information is used for certificate analysis. This is significant in either accepting or rejecting the shipment. The usage of acceptance sampling as fronted by MIL STD is often implemented in most organizations.

Organizations also use modern sampling procedures as fronted by the American National Standards Institute (ANSI) as well as American Society for quality (ASQ). Regardless of the strategy employed, it assists in minimizing inspection costs, prevent low quality manufactured goods from entering the organization production process and manage risks.

Most quality professional views this strategy as just another inspection tool. It is essential to expand resource inspection to better production by inspection of critical received goods. By not inspecting such materials, the organizations might just basically cross their corporate fingers with a hope that their products will meet the set standards.

It occupies a middle ground between no inspection and a hundred percent inspection. These techniques have been viewed just as another set of inspections tools. In addition, most quality professionals confers the strategy as unworthy of being associated with quality improvement tool as the end result of all such statistical is a stand alone, meek accept or reject conclusions. Such assertion was perceived to be true however, in the recent times; such sampling strategy has been deemed to be more effective means of improving quality.

For example, in a situation where the company inspector uses such approaches in checking incoming products or the materials as such information obtained are further used for making decision on accepting or rejecting conclusion. Through this, it will be possible to notice the actual defect as well failure might be noted along with the name of the supplier, product code and various important traceability elements associated with the supply unlike if the inspectors perform an inspection using ANSI/ASQ Z1.4.

Through this, it is possible to access important data from the product, supplier and indicating traceability elements. Research also suggests that this quality information can only be achieved through sampling approach. This information can further be analyzed using Pareto charts, control charts, histograms, and statistical analysis through analyzing the data obtained from inspection.

Such critical information can be used to compare the defects between products supplied by different suppliers. A confirmation of lack of control or control by the supplier on the production process can also be made. Vendors can be able to improve the quality of supplied products and manufacturing processes through collaborating with the suppliers.

This servers as compliment procedure for typical quality improvement along with the accept or reject conclusion. In the past unidentified vendor specific quality levels could be quantified and that information used significantly in reducing cost from corner to corner the supply chain and improving the quality. This can be done simply with no cost or a little to those organizations who already using ANSI/ASQ steps. Quality improvement should be the focus of all organization interested in remaining competitive in the current market.




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