Process Simulation and Optimization

The Process Simulation and Optimization market research delivers current market analysis plus a five year market and technology forecast.  It is available in multiple editions including worldwide, all regions, and most major countries.

Process Simulation and Optimization Market Driven by Asset Lifecycle Optimization

New ARC research on the process simulation and optimization market reveals that demand for asset lifecycle optimization is driving market growth. To optimize their processes and their businesses, industrial organizations must address multiple dimensions and factors simultaneously. The most successful simulation software companies bring together multiple disciplines and perspectives to optimize design and operations. Using a well-crafted engineering process and cross-disciplinary teamwork, industrial manufacturers can leverage an integrated, “big-picture” approach to engineering design and optimization.

Process Simulation and Optimization Strategic Issues

In addition to providing a five-year market forecast, the Process Simulation market research provides detailed quantitative current market data and addresses key strategic issues as follows.

R&D and Process Development

Develop the optimal process by quickly evaluating process development options with stakeholders using integrated batch and continuous process modeling. For faster time-to-market with shared models, accelerate and scale-up collaboration across sites and functional groups.

Concurrent Conceptual Engineering

Move from a sequential approach to concurrent engineering; different tasks involved in the process design cycle performed simultaneously. Faster time-to-market with shared models accelerating scale-up collaboration across sites and functional groups.

Front-end Engineering Design (FEED)

Accelerate multidisciplinary collaboration and automated handover from conceptual engineering to front-end design. Integrated conceptual layout accelerates FEED. A single source of truth for FEED collaborators via a data-centric approach derives collaboration between process engineering, mechanical engineering, estimators, and other groups.

Economic Evaluation

Improve estimation efficiency and reduce project risk with model-based estimation across the lifecycle. Integrated layout improves estimation accuracy and speed. Integrated model based estimates results in speed, accuracy and efficiency in estimating starting with quick relative economics from process simulation to detailed cost estimates for equipment and associated plant bulks, as well as indirect costs.