A Big Data Analytics Approach to Quality, Reliability and Risk Management
Big Data has rapidly moved to be a mainstream activity in the organisations, changing the way people within organisations work together. The culture in which business and IT leaders have to join forces to achieve value from all data is changing. On the other hand, increasing demand for insights requires a new approach for defining tools and practices. In the current competitive business and industrial environment, top management has to be fully knowledgeable about new thinking, techniques and developments in the field. All the mentioned studies and the others founded in literature highlight the enormous potentiality of big data approach in Quality, Reliability and Risk Management. However, it is necessary to develop and improve new analytic methods to obtain more significant results.
- A big data analytics approach to quality, reliability and risk management,Cloud-based sustainable management of electrical and electronic equipment from production to end-of-life,Defining a data-driven maintenance policy: an application to an oil refinery plant,Evaluating the elements of Just in Time (JIT) for implementation in maintenance by exploratory and confirmatory factor analysis,Manager perceptions of big data reliability in hotel revenue management decision making.,Thai Airways: key influencing factors on customers' word of mouth,To what extent do quality procedures determine the performance of French SMEs?
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