Sentence examples for automation strategy from inspiring English sources

Separating these tasks lets you move on to the harder questions when developing your company's automation strategy.

The proposed automation strategy denoted MFLC-MSA is based on the integration of reinforcement learning with multiple step actions.

Major decisions around bioprocess automation strategy should involve all relevant stakeholders; communication between technical and business strategy decision-makers is of particular importance.

And what is the expected return from automation in terms of productivity, speed to capability, cost, risk, etc.? These are just a few of the questions companies need to ask, and only one part of a full automation strategy.

The aim of this paper is therefore to present an approach to adopt a design automation strategy towards supporting the configuration of fixtures and to discuss opportunities for moving towards a Product-Service System-paradigm in this domain.

To fully exploit the opportunities of bioprocess automation, therapeutics developers must closely consider whether an automation strategy is applicable, how to design an 'automatable' bioprocess and how to implement process modifications with minimal disruption.

Automation strategies for performing the method development approaches presented here are discussed in Chapter 13.

It is critical to recognize that industrial automation differs from other automation strategies, especially in the enterprise or office automation disciplines.

Detailed analysis of various incidents indicates that reduced staffing levels in control rooms and inadequate operator training with complex automation strategies as common reasons for human errors.

The simulator can be used for the design, test and optimisation of automation strategies, for industrial and academic education and for process optimisation.

Typical challenges include the appropriate selection of analytical software tools, the speedup of the overall procedure using HPC parallelization and acceleration technology, the development of automation strategies, data storage solutions and finally the development of methods for full exploitation of the analysis results across multiple experimental conditions.