Analytic Solver Description
Analytic Solver Optimization is fully compatible with the Excel Solver, designed to tackle any conventional optimization issue, regardless of its size or type, without accommodating uncertainty. What sets it apart from other optimization tools is its ability to conduct an algebraic analysis of your model's structure while efficiently utilizing multiple cores on your computer for enhanced performance. This software can manage nonlinear models that are ten times larger and linear models that are forty times larger than those solvable by the Excel Solver, providing solutions at a significantly faster pace, along with the capability to integrate Solver Engines that can accommodate millions of variables. Additionally, Analytic Solver Simulation offers an intuitive interface for rigorous Monte Carlo simulations, risk analysis, decision trees, and simulation optimization, all powered by Frontline's sophisticated Evolutionary Solver. It features an impressive array of 60 probability distributions, including complex compound distributions, automatic fitting for these distributions, along with rank-order and copula-based correlations, plus 80 different statistics and risk measures, and tools for Six Sigma analysis, as well as multiple parameterized simulations that enhance decision-making processes. The comprehensive functionality of this software makes it an essential tool for professionals seeking to leverage advanced optimization and simulation techniques in their work.
Analytic Solver Alternatives
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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AlisQI is a cloud-based Quality Management platform built for process and batch manufacturers who want to move beyond reactive firefighting toward stable, predictable operations while maintaining full compliance control.
Rather than organizing quality around static documents and isolated events, AlisQI was designed as a data-first system. Quality, laboratory, and production data are structured and connected in a shared operational backbone. This gives cross-functional teams early visibility into deviations, faster response times, and greater confidence in product integrity and daily execution.
The platform combines configurable quality modules, including document control, training, deviations, CAPA, audits, risk management, supplier quality, SPC, and EHS, with targeted, ready-to-use Solvers. Solvers integrate forms, workflows, dashboards, and business logic to address specific operational problems without unnecessary scope.
Because the system is built on structured data, manufacturers can apply practical AI within workflows, from automated COA extraction to conversational access to quality data and pattern detection across incidents.
Solvers are production-ready from day one and evolve as processes, products, or plants change. This progression does not require custom development or disruptive IT projects.
Manufacturers use AlisQI to harmonize quality practices across sites, reduce waste and rework, strengthen audit readiness, accelerate root cause analysis, and connect shop-floor and lab data directly to quality decision-making across industries including chemicals, plastics, packaging, food and beverage, personal care, automotive, and industrial manufacturing.
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SSPLAX
SSPLAX is an intuitive no-code visual platform designed for the modeling and resolution of constrained operational decisions. Users can create models represented as networks, where stages, resources, and outcomes function as nodes, while routes, processes, and decisions act as edges. After constructing their models, users set an objective and specify constraints, which can include factors such as capacity, budget, labor, materials, and policy. The platform then transforms the model into a linear or mixed-integer optimization challenge, provides solutions, and elucidates the results by identifying which constraints hinder the outcome, explaining the reasons for target infeasibility, suggesting minor adjustments for maximum improvement, and assessing whether additional budget or capacity generates value or merely shifts the bottleneck. Furthermore, it enables tasks like assignment, blending and formulation, capacity allocation, and project portfolio selection. Users have the ability to compare different scenarios and analyze how recommendations shift under various conditions. Practical examples span diverse industries such as manufacturing, life sciences, artificial intelligence infrastructure, and decarbonization efforts. Notably, SSPLAX is versatile, accessible through a browser, and requires no installation or setup, making it an efficient tool for any user. Overall, its comprehensive functionality ensures that users can make informed decisions based on their unique operational challenges.
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Ansys Maxwell
Ansys Maxwell serves as a powerful electromagnetic field solver tailored for electric machines, transformers, wireless charging systems, permanent magnet latches, actuators, and various electromechanical devices. It adeptly addresses the challenges of static, frequency-domain, and time-varying electric and magnetic fields. Additionally, Maxwell comes equipped with specialized design interfaces specifically for electric machines and power converters. With the capabilities of Maxwell, users can accurately analyze the nonlinear and transient behaviors of electromechanical components, as well as their impact on drive circuits and control system designs. By utilizing Maxwell’s state-of-the-art electromagnetic field solvers in conjunction with integrated circuit and systems simulation technologies, engineers can gain insights into the performance of electromechanical systems well before any physical prototypes are created. Moreover, Maxwell is recognized for delivering reliable simulations of low-frequency electromagnetic fields pertinent to industrial components, making it a valuable tool in the design and analysis process. This comprehensive approach not only enhances design efficiency but also aids in minimizing potential issues during the development stage.
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Pricing
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Frontline Systems
Website:
www.solver.com
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Business Hours
Online Support
Analytic Solver Features and Options
Risk Management Software
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment
Predictive Analytics Software
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Simulation Software
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
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