Deciding when to release a new product requires a tradeoff between costs, potential profits and the underlying reliability of a product. Many new products go through a “Test Analyze and Fix” process. When a failure occurs, an immediate design “fix” may occur or the product might undergo a minimal fix with design changes being delayed until later when many changes can be introduced at the same time. We introduce a Bayesian model that allows for the introduction of managerial knowledge and experience. Unlike most approaches, we do not build in an assumption that the product always improves throughout the process.
CITATION STYLE
Wilson, J. G. (2020). Bayesian Modelling for Product Testing and Release. In IFIP Advances in Information and Communication Technology (Vol. 591 IFIP, pp. 63–70). Springer. https://doi.org/10.1007/978-3-030-57993-7_8
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