Modern virtual prototyping solutions for optical and illumination systems

Share On

Loading...
PROCESSING. PLEASE WAIT...

"Modern virtual prototyping solutions for optical and illumination systems"

Get optical products to market faster using modern virtual prototyping

Get optical products to market faster using modern virtual prototyping

White Paper: Zemax

How Modern Virtual Prototyping Can Change The Product Development Process?

Outdated workflows limit team collaboration and compromise design integrity causing failures in physical prototypes or production impacting the schedules of an organization. As a result, leading companies have moved away from a linear process to a parallel design environment, in which design faithfulness is maintained throughout the workflow. By collaborating over a shared virtual prototype, optical and mechanical engineers can easily identify and correct design errors early in the design phase. Having the product designed right in the early stage leads to higher top-line revenue, lower cost, and a faster time to market.

By harnessing the power of OpticStudio and LensMechanix, optical and mechanical engineers can share complete design data and analyze optical performance in a virtual model, reducing design iterations and physical prototypes—saving time and money.

Move ahead and read the following whitepaper that will address all your questions, including these:

  • How outdated workflows limit team collaboration and cause design delays?​
  • What is the importance of modern virtual prototyping?​
  • How OpticStudio and LensMechanix together can create a modern virtual prototyping solution?

Login With

Related White Papers

How to Make the Most of Your Data-Science Dollar

By: Mosaic Data Science

Data scientists are a scarce commodity, and are likely to remain so for years to come. At the same time, data science can create a substantial competitive advantage for early adopters who make the best use of their scarce data-science resources. data scientists often struggle to recognize that every data-science project is an optimization problem.iii In business the objective function is usually expected value, but sometimes expected value is and should be traded away to avoid the possibility of catastrophic losses. Data science has a long, highly technical learning curve. An inexperienced team with limited background has two ways to shorten its learning curve. The first is training. For example, Coursera offers a series of online classes designed to train data scientists in specific computational techniques and tools.  This paper explains how management can make the most of data-science resources and opportunities, to achieve data-driven competitive advantage.    

Your Cloud Strategy Demands a Strong Network Strategy

By: Frost & Sullivan

Cloud computing has completely redefined the IT buying process for enterprise IT managers. With Infrastructure as a Service (IaaS) offerings, enterprises can procure compute and storage resources in a pay-as-you-go model. Similarly, enterprises can deploy applications and services faster by purchasing pre-configured platforms that run on third-party Platform-as-a-Service (PaaS) offerings. However, the simplest and the quickest option for deploying cloud-based services is through the Software as a Service (SaaS) model, in which enterprises can purchase the entire application or service, on-demand.

follow on linkedin follow on twitter follow on facebook 2018 All Rights Reserved | by: www.ciowhitepapersreview.com