Process Engineering Simulation Software Selection

ARC has been covering Process Engineering Simulation Software (PES) for over two decades. Based on this knowledge, ARC analysts have developed a comprehensive set of criteria to help you select the best process engineering simulation solution available on the market.

Process Engineering Simulation Selection Overview

The process engineering market is at an inflection point.  Artificial intelligence, advanced analytics, and cloud computing are creating a disruption in this market.  Cloud computing accelerates the opportunities for business improvement, enabling engineering organizations to create value from Industrie 4.0-type agility and digitization by Software-as-a-Service (SaaS) models.  The market is moving to expand the scope of simulation beyond traditional engineering designs to asset lifecycle optimization.  SaaS leverages the respective strengths of both engineering simulation and cloud infrastructure providers to transform simulation to a higher value agile service, to provide a scalable web access for legacy software, and to allow users to retain invaluable intellectual property (IP) for engineering.

Simulation Driven Engineering.jpgImplementing a process engineering simulation solution can be time consuming and costly, particularly if the solution selected is not compatible with other process engineering software.  Today, the "platforming" of PES tools helps users create reusable workflows and automate data authoring on a broader platform for simulation.  The new work processes created enable people to focus on more value-adding activities and shortening the time needed to design and optimize by moving from sequential to simultaneous engineering.  These simulation platforms allow engineers to model multiple sets of "conditioned data" conditions within simulation environment.  EPCs also care about validation of models, whereas in the past, validation was difficult and time consuming.

Process Engineering Simulation Strategic Issues

ARC has been researching the process engineering simulation market for over two decades and we know the issues:

  • Combining the virtual, physical, and chemical
  • Model identification and scalability from application to multi-process
  • Integration of PES with analytics tools
  • Industry focus, installations, and application
  • Understanding engineering support models, staff training, and globalization
  • Understanding sustainability methods
  • Leveraging new technologies like Cloud, virtualization, and new licensing models
  • Identify suppliers that match your long-term visions

This ARC Selection Guide will help you select a Process Engineering Simulation software solution for the future.

Table of Contents

Executive Summary

  • Major Trends
  • Industry Trends
  • Regional Trends
  • Strategies for Buyers


Partial List of Selection Criteria Topics

  • Business Goals
  • System Functions and Features
    • General Product and Technology
    • Core Functionality
    • Solution Completeness
    • Integration Capabilities
  • Service Requirements
    • Training
    • Project
    • Lifecycle

Leading Supplier Analysis

  • Market Shares of the Leading Suppliers
  • Market Shares by Region
  • Market Shares by Customer Type
  • Market Shares by Industry

Leading Supplier Profiles

For More Information

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