Sentence examples for improve lifecycle from inspiring English sources

Cardin, M.-A., Kolfschoten, G. L., de Neufville, R., Frey, D. D., de Weck, O. L., Geltner, D. M., 2013, "Empirical Evaluation of Procedures to Generate Flexibility in Engineering Systems and Improve Lifecycle Performance", Research in Engineering Design 24:247-245.

Another novelty is in how the concept of flexibility is exploited to deal with uncertainty and improve expected lifecycle performance (e.g. cost).

Due to the complex and highly dynamic contexts in which systems operate nowadays, it has become crucial that, early in the architecting phase, System Architects take into account options to be utilized throughout the system's lifecycle to improve performance and lifecycle properties, such as flexibility.

Motivated by the rapidly transforming landscape for big data analytics and predictive maintenance decision making, we have created a system capable of providing end users with recommendations to improve asset lifecycles.

Utilization of hydrous ethanol in diesel engines is beneficial not only for reducing the exhaust pollutant emissions but also for improving the lifecycle fuel efficiency including both in engines and refineries.

This study explores the concepts of real options and flexibility analysis as an approach to address uncertain demand growth in mobility on-demand (MoD) vehicle-sharing systems, with the goal of improving expected lifecycle performance.

Object-oriented frameworks have become a popular paradigm used to improve the software development lifecycle.

Linking engineering, supply chain operations, and services data through the cloud means operators can optimize factories and products in real time and continuously improve them throughout their lifecycle.

Since charitable fundraising relies heavily on direct mail, this paper studies how tailoring donation requests along the donor lifecycle could improve campaign success rate.

Brands like Corkcicle and Maggie Sottero are also leveraging voice of customer data in determining pricing, selection and personalization, and are testing designs sooner in the product development lifecycle to improve forecast accuracy and bring new styles to market weeks, if not months earlier.

We present a few examples here that show how adoption of these technologies can improve the data management lifecycle.