Tolerance design plays a major role in the quality of the product life cycle. Its purpose not only can ensure the products quality. At the same time, it monitors the product manufacturing costs. The traditional the tolerance design devotes to the optimization target of minimizing the manufacturing cost. But due to the manufacturing process of a product, there is a nonlinear relation between tol...

Recent FDA presentations and media reports indicate that process understanding is critical to enhance manufacturing efficiency and reduce the likelihood of producing products of poor quality [1]. The FDA’s Process Analytical Technology (PAT) Guidance [2] also highlights the importance of process understanding and process control. Focusing on pharmaceutical manufacturing processes may open up un...

QbD is a systemic approach to pharmaceutical development. It means designing and developing formulations and manufacturing processes to ensure predefined product quality. Some of the QbD elements include defining a target product quality profile, designing product and manufacturing processes, identifying critical quality attributes, process parameters, and sources of variability and controlling...

Multivariate Process Capability Indices (MPCI) show how well a manufacturing process can meet specifica-tion limits when quality characteristics enclose a relative correlation. Process capability is an important and commonly used metric for assessing and improving the quality of a production process. When quality charac-teristics of a product are correlated then an attractive comes close to MPC...

although several methods have been developed to make gamma-aminobutyric acid (gaba) accumulate in tea, the active ingredients and health benefits vary widely depending on the manufacturing process of tea products. in this study, the levels of bioactive compounds and antioxidant activity in tea leaves given the continuous anaerobic condition were investigated. gaba and other free amino acids suc...

One current approach to quality control in DNA array manufacturing is to synthesize a small set of test probes that detect variation in the manufacturing process. These fidelity probes consist of identical copies of the same probe, but they are deliberately manufactured using different steps of the manufacturing process. A known target is hybridized to these probes, and those hybridization resu...

In practice, manufacturing systems are never perfect and may have low quality outputs. Therefore, different decisions such as reprocessing, sale at lower prices or diminishing are made according to industry and market. This paper investigates the importance of supply chain coordination through developing two models in centralized decision-making for an imperfect quality manufacturing system wit...

In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels. The manufacturing applications of neural networks comprise the design of manufacturing systems (including part-family and machine-cell formation for cellular manufacturing systems); modeling, planning, and scheduling of manufacturing ...

Metal forming processes, compared with machining ones, reduce production steps and increase manufacturing speed in addition to saving raw material. In this paper, forming process of column of a steering mechanism is investigated by finite element analyses and experimental tests; and optimum die design parameters are found. Forming process parameters including die opening angle, bearing length, ...

Tolerance plays a major role in the manufacturing industry, as it affects product design, manufacturing, and quality of the product. This paper considers product design, manufacturing, and quality simultaneously, and introduces a concurrent approach for tolerance allocation using evolutionary algorithms. A non-linear model that minimizes the combination of manufacturing cost and quality loss si...