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Manufacturing EngineeringTop 10 Best Control Design Software of 2026
Ranking roundup of control design software for engineers, with criteria-based comparisons and tradeoffs for COMSOL Multiphysics and others.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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COMSOL Multiphysics is the strongest fit if controller design must be anchored to coupled plant physics through repeatable simulation and co-simulation studies, whereas 20-sim is better for mechatronics teams that want controller iteration tied directly to deployable code.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
COMSOL Multiphysics
Unified multiphysics plant and controller co-simulation lets sensor and actuator dynamics shape control performance during tuning.
Best for: Fits when controller design must reflect coupled physics and repeatable simulation studies before field deployment.
20-sim
Editor pickModel-based simulation and controller creation share the same execution context, which keeps controller I/O mapping consistent across test and build.
Best for: Fits when mechatronics teams need controller iteration anchored to plant dynamics and deployable code.
AnyLogic
Editor pickHybrid system modeling ties sequencing logic to continuous dynamics, supporting end-to-end simulation of controller behavior.
Best for: Fits when controller logic must be co-validated with plant models using a single hybrid workflow.
Comparison Table
COMSOL Multiphysics
enterpriseMultiphysics simulation platform used for control-oriented modeling, dynamic system design, and co-simulation workflows.
Unified multiphysics plant and controller co-simulation lets sensor and actuator dynamics shape control performance during tuning.
COMSOL Multiphysics targets controller design where plant physics and actuator dynamics materially affect control performance. Control design uses a model-first workflow with simulation runtime that can include sensors, actuators, delays, and nonlinearities while control signals update each time step. Automation is supported through scripting and reusable model components so experiments can be rerun across parameter sweeps and scenarios without rebuilding diagrams.
A tradeoff is that COMSOL does not function as a PLC programming editor with IEC 61131-3 code generation for a specific soft PLC runtime. Controller logic can be modeled and tested, but deployment to PLC or motion controllers typically requires manual translation or separate code generation paths. COMSOL fits best for usage situations where controller tuning must reflect realistic plant behavior and where engineering teams value repeatable simulation studies more than scan-cycle-specific implementation details.
- +Controller testing uses the same multiphysics plant model and sensor models
- +Parameter sweeps and batch runs support repeatable tuning experiments
- +Scripting enables automation of setup, runs, and result extraction
- +Co-simulation workflows connect control models to external simulation components
- –PLC-style structured control programming tooling is not its primary interface
- –Code generation for direct PLC deployment is limited for scan-cycle exactness
- –High-fidelity models can be slow to run for rapid iteration
Controls engineers in research labs
Tune controllers against nonlinear plant physics
Fewer tuning iterations
Manufacturing engineering teams
Validate control under disturbances
Clearer robustness decisions
Show 2 more scenarios
Aerospace and process modelers
Co-simulate controllers with plant models
Integration issues detected early
External controller components can interact with COMSOL models to test integration behavior in simulation.
R&D teams with actuator constraints
Include saturation and delay effects
More realistic control results
Actuator dynamics and sensing delays are represented during controller evaluation, not added later as assumptions.
Best for: Fits when controller design must reflect coupled physics and repeatable simulation studies before field deployment.
20-sim
vertical specialistModeling and simulation software for mechatronic systems with control design and real-time code generation support.
Model-based simulation and controller creation share the same execution context, which keeps controller I/O mapping consistent across test and build.
20-sim is a fit for controller engineers working on mechatronics systems where plant dynamics, sensors, and actuators must be represented in the same model as the control logic. The tool’s controller development workflow emphasizes a repeatable model-to-execution path, with disciplined configuration of simulation scenarios and I/O mapping for testing. It also supports code generation for deployment targets so controller logic can move from simulation toward runtime tests.
A tradeoff is that the modeling depth and workflow structure demand upfront investment in model organization and interface conventions before controller iteration feels fast. A common usage situation is benchmarking control strategies against cycle time and signal latency assumptions by running controlled simulation scenarios and re-targeting the controller build.
- +Tight coupling between plant modeling and controller design reduces handoff friction
- +Code generation supports moving controller logic toward deployment targets
- +Simulation-first workflow enables repeatable scenario testing and parameter sweeps
- +Industrial I/O connectivity supports practical end-to-end controller validation
- –Strong modeling discipline is required to keep large projects maintainable
- –Integration outside the tool can be harder than staying within the model workflow
Control engineering teams
Design PID and state feedback controllers
Faster controller validation cycles
Mechatronics R&D teams
Tune controllers on actuator-limited plants
More reliable control behavior
Show 2 more scenarios
Automation integration engineers
Test controller I/O before hardware commissioning
Lower integration risk
Use interface connectivity to validate signal scaling, timing, and controller responses under test conditions.
Safety-focused engineering teams
Prototype interlocks and fault handling
Clearer fault response design
Model protective logic with system behavior to verify responses before controller code generation.
Best for: Fits when mechatronics teams need controller iteration anchored to plant dynamics and deployable code.
AnyLogic
SMBSimulation modeling platform that supports hybrid dynamic modeling including system dynamics and control-related behavior.
Hybrid system modeling ties sequencing logic to continuous dynamics, supporting end-to-end simulation of controller behavior.
AnyLogic is a strong fit when control design must be validated against a behavioral plant model, not just against block-level logic. Its hybrid modeling workflow combines continuous dynamics with discrete decision logic, which helps teams test sequencing, interlocks, and timing-sensitive behavior using one unified model. Integration becomes a key advantage when controller code must be generated from the same model used for verification.
A tradeoff is that PLC-style workflows focused purely on ladder logic or IEC-style structured text can feel indirect because the primary authoring surface is model-driven rather than PLC-editor-first. AnyLogic fits best when simulation runtime speed, controller logic iteration, and plant co-evaluation matter more than matching a specific PLC editor experience.
- +Hybrid modeling connects discrete logic with continuous plant behavior
- +Model-to-controller workflow enables design validation before runtime testing
- +Multiple controller target paths support code generation and co-simulation workflows
- +Extensibility enables custom blocks and integration components
- –PLC-editor-first users may need time to adapt to model-driven authoring
- –Controller workflows that assume IEC-style interchange can require extra engineering
Controls engineers
Validate interlocks with plant co-simulation
Fewer late logic surprises
Automation architects
Generate controller logic from one source
Single-model traceability
Show 1 more scenario
System integrators
Bridge model logic to runtime targets
Reduced hand-coding effort
Produce controller artifacts aligned with the chosen deployment target path.
Best for: Fits when controller logic must be co-validated with plant models using a single hybrid workflow.
Schneider Electric Control Expert
enterpriseControl Expert programs Modicon controllers with ladder logic, function block diagrams, structured text, and sequential function charts.
Online editing tied to controller target details reduces friction between design-time changes and controller behavior.
Schneider Electric Control Expert is a controller programming and engineering environment built for Schneider PLC families, with a development workflow that centers on reusable logic components and tight controller alignment. Code generation supports function block and other IEC 61131-3 structures, and the tool targets deployment to specific controller models and firmware versions.
- +Strong controller-target coupling reduces mismatch between logic and PLC capabilities
- +Function block workflow supports modular reuse across projects
- +Online editing supports in-place iteration against live controller behavior
- +Fieldbus and I/O mapping stay aligned with Schneider controller engineering
- –Vendor-specific controller focus limits vendor-neutral controller development reuse
- –Thick project structure increases governance overhead for large multi-team changes
- –Cross-vendor import paths for existing programs can require manual refactoring
- –Simulation and benchmarking depth depends on controller and configuration details
Best for: Fits when teams build PLC programs for Schneider controllers and need fast online iteration.
Mitsubishi GX Works3
enterpriseGX Works3 programs Mitsubishi Electric MELSEC controllers with ladder, structured text, function blocks, and diagnostics.
Online editing with live variable watching tied to Mitsubishi controller execution state during commissioning.
Mitsubishi GX Works3 is the engineering environment used to design Mitsubishi PLC control logic, build tag and I/O mappings, and manage project-wide monitoring settings. It supports multi-language IEC 61131-3 programming workflows and provides a code generation path that targets specific controller models and firmware versions.
- +Project tooling aligns with Mitsubishi controller target and firmware selection
- +Tag and I/O configuration stay centralized for logic, I/O, and monitoring
- +Debug workflow supports online observation of variables and logic states
- +IEC 61131-3 editors cover ladder, structured text, and function block styles
- –Vendor workflow is tightly coupled to Mitsubishi programming conventions
- –Large projects can feel heavy due to interface layering across editors
- –Online editing depends on controller support and safety-related operating modes
- –Cross-vendor data exchange requires manual configuration and mapping discipline
Best for: Fits when teams standardize on Mitsubishi PLCs and need repeatable engineering for controller targets.
Python Control Systems Library
API-firstPython Control Systems Library provides programmatic analysis and design for linear and nonlinear feedback systems.
LQR and pole placement routines operate directly on state space objects with simulation-ready outputs.
Python Control Systems Library provides control modeling and analysis routines in Python, including state space and transfer function workflows. It supports controller design through classical methods like pole placement and LQR, plus simulation utilities for time response and frequency response checks.
- +Python-first state space and transfer function objects integrate with existing tooling
- +Consistent controller design routines like LQR and pole placement reduce glue code
- +Built-in simulation for time and frequency response supports rapid verification
- +Tight NumPy-based numerics make batch design studies straightforward
- –No built-in PLC-style scan cycle model for translating to soft PLC behavior
- –Modeling and actuator limits need manual handling with extra logic
- –Hardware I O integration is not a native workflow for closed-loop deployment
- –Advanced synthesis beyond classical linear control often requires external packages
Best for: Fits when teams prototype linear controllers in Python, then translate results to a separate controller stack.
B&R Automation Studio
enterpriseAutomation Studio covers B&R PLC, motion, robotics, safety, HMI, and industrial communication development.
Unified engineering workflow that binds controller configuration with PLC logic and commissioning steps inside the same project system.
B&R Automation Studio is tightly coupled to B&R controller ecosystems, with project engineering workflows that connect PLC development, configuration, and commissioning in one runtime-oriented environment. Core capabilities include IEC 61131-3 programming with PLCopen-style function block workflows, plus model-driven motion and machine automation libraries that map directly to B&R hardware features.
- +B&R controller target tooling keeps configuration, download, and commissioning workflows aligned
- +IEC 61131-3 function block workflows fit PLCopen-style automation projects
- +Simulation support helps validate logic and task behavior before hardware download
- +Fieldbus and motion engineering libraries reduce glue code between controller functions
- –Integration depth favors B&R hardware, which limits portability to mixed-vendor controller stacks
- –Advanced sequencing and timing needs careful task and cycle-time planning during design
Best for: Fits when teams build B&R-centered machines that need tight controller integration across PLC, motion, and commissioning.
AutomationDirect Productivity Suite
SMBProductivity Suite programs Productivity-series PLCs, HMIs, and motion devices with ladder logic and tag-based configuration.
Controller-aware project building that links logic assets to the controller target and firmware version in the same workflow.
AutomationDirect Productivity Suite is a control design toolchain centered on the AutomationDirect ecosystem, with project, library, and device workflows built around its controller lineup. It supports creating control logic in IEC 61131-3 formats, organizing reusable blocks, and targeting specific controller models with controller-aware build outputs.
- +Controller-targeted builds reduce mismatches between design and firmware targets
- +Reusable library blocks speed repeated ladder and function logic patterns
- +Integrated HMI workflow supports a single project path into runtime views
- +Direct support for AutomationDirect communications workflows during deployment
- –Less controller-agnostic than tools that treat targets as interchangeable
- –Advanced multi-vendor integration requires extra steps outside the core suite
Best for: Fits when projects target AutomationDirect PLC and HMI hardware and need fast, controller-specific deployment.
Phoenix Contact PLCnext Engineer
API-firstPLCnext Engineer develops PLCnext controllers with IEC 61131-3 languages, C++ extensions, and industrial networking.
PLCnext runtime alignment that packages logic with hardware and task behavior for the selected controller target.
Phoenix Contact PLCnext Engineer is the control and automation engineering environment for PLCnext controllers, with IEC 61131-3 programming support and a workspace that targets specific controller firmware. Engineers build logic in ladder logic, function block diagram, and structured text, then validate and download projects to the controller with online monitoring features.
- +IEC 61131-3 editor set covers ladder logic, function block diagram, and structured text
- +Controller-targeted project configuration links downloads to specific PLCnext firmware
- +Online editing and monitoring fit common commissioning workflows
- +Module-based extension path supports vendor-specific controller capabilities
- –Vendor-coupled project targeting limits portability to non-PLCnext controller stacks
- –Real-time task and cycle-time tuning needs disciplined configuration planning
Best for: Fits when PLCnext-based projects need IEC 61131-3 authoring plus controller-targeted deployment controls.
ABB Automation Builder
enterpriseAutomation Builder configures ABB PLCs, drives, robots, safety devices, HMIs, and industrial networks.
Single project workspace that keeps program blocks, controller configuration, and deployment artifacts aligned for ABB controller targets.
ABB Automation Builder is a control design environment built around ABB PLC and controller targets, with a workflow that connects function block engineering to project commissioning artifacts. It emphasizes configuration for I O mapping, runtime tasking, and controller deployment steps inside one project workspace. Core deliverables include IEC 61131-3 language support, generated controller code, and interfaces for connecting to HMI and external systems for data exchange.
- +Tight ABB controller target workflow from engineering to deployment
- +IEC 61131-3 editor set supports mixed projects without tool switching
- +Code generation ties program organization to controller configuration
- +Hardware I O and device connections stay linked to project artifacts
- –Vendor coupling limits portability to non-ABB controller ecosystems
- –Project complexity increases when multiple execution contexts are used
- –Advanced automation and integration work needs AB B-specific tooling knowledge
- –Debugging across external systems is harder than inside the ABB runtime
Best for: Fits when ABB-centric teams need IEC 61131-3 control engineering tied to controller deployment and commissioning.
Conclusion
After evaluating 10 control design software, COMSOL Multiphysics stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Control Design Software
Control design software covers workflows where control logic, plant or system models, and controller deployment targets stay connected through simulation and engineering steps. This guide covers COMSOL Multiphysics, 20-sim, AnyLogic, Schneider Electric Control Expert, Mitsubishi GX Works3, Python Control Systems Library, B&R Automation Studio, AutomationDirect Productivity Suite, Phoenix Contact PLCnext Engineer, and ABB Automation Builder.
The top outcomes in these categories come from integration depth between the plant model and controller creation, plus an automation and API surface that supports repeatable iteration. The ranking emphasizes controller development fit, controller I/O mapping consistency, and how tightly online editing and controller-target configuration reduce mismatches.
Control Design Software for model-based controller engineering and target-linked PLC logic
Control design software is used to create and validate control behavior by combining controller synthesis or tuning with plant simulation and controller-target configuration. COMSOL Multiphysics is positioned for unified multiphysics plant and controller co-simulation where sensor and actuator dynamics shape tuning outcomes in the same multiphysics workflow.
20-sim emphasizes model-based simulation and controller creation in a shared execution context so controller I/O mapping stays consistent from test to build. Tools such as Schneider Electric Control Expert and Mitsubishi GX Works3 focus more on fast online iteration tied to controller target details, where online editing with live monitoring reduces friction during commissioning on those controller ecosystems.
What to verify in control design workflows
Control design software earns value when it keeps the plant model and controller build aligned through repeatable iteration, not when it only simulates signals after the fact. COMSOL Multiphysics is ranked for unified plant and controller co-simulation where actuator and sensor dynamics directly shape tuning inside the same multiphysics workflow.
Plant-model and controller co-execution to reduce tuning mismatch
COMSOL Multiphysics runs unified multiphysics plant and controller co-simulation so sensor and actuator dynamics shape tuning before field deployment. 20-sim shares a single execution context across model-based simulation and controller creation to keep I/O mapping consistent from test to build.
Controller-target coupling and online editing for controller-specific iteration
Schneider Electric Control Expert ties online editing to controller target details to reduce friction between design-time changes and controller behavior on the configured target. Mitsubishi GX Works3 adds online editing with live variable watching tied to Mitsubishi controller execution state during commissioning.
Model-to-controller workflow that validates discrete sequencing with continuous dynamics
AnyLogic uses hybrid system modeling that connects sequencing logic with continuous plant behavior so controller behavior can be validated end-to-end in one hybrid workflow. AnyLogic also supports a model-to-controller workflow designed for design validation before runtime testing.
Deployment-oriented controller generation versus offline controller design
20-sim provides code generation support for moving controller logic toward deployment targets while keeping controller I/O mapping consistent. Python Control Systems Library provides state-space controller design routines like LQR and pole placement that produce simulation-ready outputs but does not include a built-in PLC-style scan cycle model for soft PLC behavior.
Project-system governance that bundles logic and commissioning artifacts
B&R Automation Studio binds controller configuration with PLC logic and commissioning steps inside one project system so download and commissioning stay aligned with the controller target tooling. Phoenix Contact PLCnext Engineer packages IEC 61131-3 authoring with runtime alignment for PLCnext so downloads tie to selected PLCnext firmware and task behavior.
Choose based on coupling depth and where controller logic lives during iteration
The first branching decision is whether controller tuning should be shaped by physics and sensing effects during the same execution used for controller development. COMSOL Multiphysics prioritizes plant and controller co-simulation inside unified multiphysics, while 20-sim anchors controller design directly inside the same execution context used for model-based simulation.
Select physics-informed co-simulation when tuning depends on coupled dynamics
Choose COMSOL Multiphysics when sensor and actuator dynamics must shape controller tuning inside a single multiphysics workflow. Choose 20-sim when the priority is keeping controller I/O mapping consistent by using the same execution context for plant modeling and controller creation.
Choose hybrid sequencing validation when discrete logic and continuous behavior must be verified together
Choose AnyLogic when controller behavior must be co-validated through hybrid system modeling that ties sequencing logic to continuous dynamics. The single hybrid workflow supports design validation before runtime testing, which fits hybrid controller architectures.
Choose controller-target online editing when deployment fidelity is the main risk
Choose Schneider Electric Control Expert when fast online iteration must reflect controller target details during design-time changes. Choose Mitsubishi GX Works3 when live variable watching mapped to Mitsubishi controller execution state is needed during commissioning.
Choose controller-targeted project systems when download and commissioning must stay in lockstep
Choose B&R Automation Studio when controller configuration, PLC logic, and commissioning steps must remain inside one project system tied to B&R controller targets. Choose Phoenix Contact PLCnext Engineer when IEC 61131-3 authoring plus runtime alignment and task behavior packaging are required for PLCnext firmware-specific deployments.
Choose Python-first control design when the team already owns the controller execution stack
Choose Python Control Systems Library when linear controller design tasks like LQR and pole placement should be computed directly on state space objects in an existing Python toolchain. Plan for manual translation because the library does not include a built-in PLC scan cycle model for mapping to soft PLC behavior.
Avoid vendor coupling when multi-vendor portability is a requirement from day one
Avoid Schneider Electric Control Expert, Mitsubishi GX Works3, AutomationDirect Productivity Suite, and ABB Automation Builder when the engineering roadmap targets mixed-vendor controller stacks that must reuse the same controller design assets. Prefer COMSOL Multiphysics, 20-sim, AnyLogic, or Python Control Systems Library when portability across controller ecosystems matters more than target-specific online editing.
Who benefits from control design workflows tied to plant simulation or controller targets
Teams should pick physics-co-simulation tools when controller performance depends on coupled sensing and actuation behavior that must be reproduced during tuning. COMSOL Multiphysics suits control work where sensor and actuator dynamics are treated as first-class inputs to controller tuning experiments.
Controls engineers tuning controllers against physics-coupled sensor and actuator effects
COMSOL Multiphysics supports controller testing using the same multiphysics plant model and sensor models so repeatable tuning experiments can include sensing and actuation dynamics.
Mechatronics teams iterating controller logic alongside plant dynamics
20-sim keeps model-based simulation and controller creation in a shared execution context so controller I/O mapping stays consistent from test to build.
PLC-centric teams standardizing on IEC-style controller editing with fast online iteration
Schneider Electric Control Expert and Mitsubishi GX Works3 both provide online editing that is tied to controller target details and live variable monitoring during commissioning.
Hybrid-systems teams needing discrete sequencing validated with continuous dynamics
AnyLogic hybrid system modeling connects discrete sequencing logic with continuous plant behavior and supports a model-to-controller workflow for validation before runtime testing.
Python-first teams designing linear controllers and integrating into an existing deployment stack
Python Control Systems Library supports LQR and pole placement directly on state space objects so controller design fits Python toolchains that already handle PLC execution.
Common failure modes when selecting Control Design Software
A frequent mistake is treating online monitoring and controller-target configuration as a substitute for physics-informed plant modeling during tuning. This leads to tuned logic that behaves differently when actuator and sensor effects are represented at the plant fidelity required by COMSOL Multiphysics-style co-simulation.
Choosing a controller-target editor when tuning must reflect coupled sensing and actuation dynamics
Prefer COMSOL Multiphysics when sensor and actuator dynamics must shape tuning through unified plant and controller co-simulation. Use online editing tools like Schneider Electric Control Expert when the primary risk is mismatch between design-time edits and controller behavior during commissioning.
Assuming I/O mapping consistency without a shared execution context
If controller I/O mapping must stay identical between test and build, choose 20-sim where model-based simulation and controller creation share the same execution context. If controller-target coupling is required, validate that your chosen tool keeps mapping aligned to the configured target firmware.
Using Python control design routines without planning scan-cycle and actuator-limit behavior
Treat Python Control Systems Library as a controller-design computation layer and plan for manual modeling of PLC-style scan behavior. Add explicit actuator limits and timing logic outside the library so results translate into the deployment environment.
Selecting a vendor-centric project system that blocks controller portability
Avoid vendor-scoped targeting in tools like Mitsubishi GX Works3 and ABB Automation Builder when multi-vendor controller reuse is a hard requirement. Prefer model-centric tools like AnyLogic, 20-sim, or COMSOL Multiphysics when controller portability matters more than target-specific online editing.
Overbuilding hybrid verification in tools that expect IEC-style interchange as the primary workflow
AnyLogic can require time to adapt for PLC-editor-first users because it uses model-driven authoring with a hybrid workflow. Use it when hybrid discrete and continuous verification is a priority rather than an optional addition.
How We Selected and Ranked These Tools
We evaluated COMSOL Multiphysics, 20-sim, AnyLogic, Schneider Electric Control Expert, Mitsubishi GX Works3, Python Control Systems Library, B&R Automation Studio, AutomationDirect Productivity Suite, Phoenix Contact PLCnext Engineer, and ABB Automation Builder using feature coverage, execution workflow fit, and controller-target alignment. Features drove 40% of the score because unified co-simulation, shared execution context, and controller-target online editing directly affect whether controller behavior matches during test and commissioning.
Ease and value each drove 30% because repeatable model-to-controller workflows and manageable project complexity decide whether engineering teams can keep controller I/O mapping consistent. COMSOL Multiphysics separated itself by unifying multiphysics plant and controller co-simulation so sensor and actuator dynamics shape tuning in the same workflow rather than after a handoff to a separate controller environment.
Frequently Asked Questions About Control Design Software
How does controller co-simulation work in COMSOL Multiphysics compared with 20-sim for closed-loop tuning?
Which toolchain best supports hybrid controller logic that mixes sequencing and continuous dynamics?
Which environment is most aligned with IEC 61131-3 function block workflows for specific PLC families?
How do online editing and live variable monitoring differ between Schneider Control Expert and Mitsubishi GX Works3?
What breaks if a team expects Python Control Systems Library to generate PLC code directly into an automation project?
How does B&R Automation Studio handle extensibility compared with PLCnext Engineer module-based packaging?
How do data migration and tag mapping typically work when moving an existing project into Phoenix Contact PLCnext Engineer?
What security and access controls are commonly handled differently between ABB Automation Builder and other controller-centric editors?
When does controller target integration matter more than plant modeling depth for deployment success?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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