process information using digital techniques

This means that experimentation time and cost can be kept to a minimum, enhancing R&D effectiveness. technology will be explored using a mixed method (QUANTQUAL) process. Model-targeted experimentation is used to support the creation of a validated, predictive model, rather than to perfect the process or product design (that is the role of the predictive model). The information produced can help homes plan and evaluate infection control. Global system analysis enables you to can quantify technology risk systematically and manage the effects of uncertainty, to make sure you can produce profitably come what may. It also enables faster screening of formulations for viability early in the cycle. Digital design makes possible the integrated design of formulated products and their manufacturing processes, resulting in better, higher-quality products. Full, rigorous optimization means better-designed, better-performing and more flexible processes able to produce the right quality product in the face of variability. The ability to explore the decision space systematically, reduce experimentation time and integrate experimentation and design means faster time-to-market with new processes and products. Primary sources are direct, firsthand sources of information or data. Digital design techniques are being systematically adopted by the process industries’ leading innovators because of the many benefits: Writers classify research resources in two categories: primary sources and secondary sources.

Process information using digital techniques