Best Advanced Process Control (APC) Systems of 2025

Find and compare the best Advanced Process Control (APC) systems in 2025

Use the comparison tool below to compare the top Advanced Process Control (APC) systems on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Epicor Connected Process Control Reviews
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    Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.
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    Model Predictive Control Toolbox Reviews
    The Model Predictive Control Toolbox™ offers a comprehensive suite of functions, an intuitive app, Simulink® blocks, and practical reference examples to facilitate the development of model predictive control (MPC) systems. It caters to linear challenges by enabling the creation of implicit, explicit, adaptive, and gain-scheduled MPC strategies. For more complex nonlinear scenarios, users can execute both single-stage and multi-stage nonlinear MPC. Additionally, this toolbox includes deployable optimization solvers and permits the integration of custom solvers. Users can assess the effectiveness of their controllers through closed-loop simulations in MATLAB® and Simulink environments. For applications in automated driving, the toolbox also features MISRA C®- and ISO 26262-compliant blocks and examples, allowing for a swift initiation of projects related to lane keep assist, path planning, path following, and adaptive cruise control. You have the capability to design implicit, gain-scheduled, and adaptive MPC controllers that tackle quadratic programming (QP) problems, and you can generate an explicit MPC controller derived from an implicit design. Furthermore, the toolbox supports discrete control set MPC for handling mixed-integer QP challenges, thus broadening its applicability in diverse control systems. With these extensive features, the toolbox ensures that both novice and experienced users can effectively implement advanced control strategies.
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    MPCPy Reviews
    MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.
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    INCA MPC Reviews
    Advanced Process Control (APC) provides a highly efficient solution for enhancing your plant's performance without requiring any hardware modifications. By implementing an APC application, you can stabilize operations while simultaneously optimizing production or energy usage, leading to a deeper insight into your production processes. This term encompasses a wide array of methods and technologies that complement fundamental process control systems, which are primarily constructed using PID controllers. Some examples of APC technologies include LQR, LQC, H_infinity, neural networks, fuzzy logic, and Model-Based Predictive Control (MPC). An APC application continually optimizes plant operations every minute, round-the-clock, seven days a week, ensuring consistent efficiency. Among these technologies, MPC stands out as the most widely adopted within the industry, as it utilizes a process model to forecast the plant's behavior for the near future, typically ranging from a few minutes to several hours ahead, thus providing a strategic advantage in operational planning. Through the continual refinement of processes, APC not only improves efficiency but also contributes to long-term sustainability goals.
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    PlantPAx Reviews

    PlantPAx

    Rockwell Automation

    Producers like yourself possess the expertise required to maneuver through the intricate hurdles of remaining competitive in today’s market landscape. This is applicable across a wide range of sectors, including pharmaceuticals, consumer goods, food and beverage, mining, and chemicals. Therefore, embracing the latest technological innovations is essential for advancing your ongoing digital transformation efforts. Throughout your organization, from the control room to executive meetings, users of process systems consistently grapple with the challenge of optimizing productivity while managing budget limitations and resource availability, all while tackling shifting operational risks. By addressing these challenges head-on, you can unlock significant productivity enhancements across your facility with the PlantPAx distributed control system (DCS). The features of this system can greatly influence the lifespan of your plant operations, ensuring that integrated and scalable systems enhance productivity, boost profitability, and minimize operational risks. Ultimately, investing in such advanced systems can lead to a more resilient and efficient production environment.
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    Emerson DeltaV Reviews
    The DeltaV S-series Electronic Marshalling utilizing CHARMs allows for flexible placement of field cabling, independent of the type of signal or control methodology employed. The DeltaV™ Distributed Control System (DCS) is designed to streamline automation processes, which reduces operational challenges and mitigates project risks effectively. This advanced collection of products and services enhances plant efficiency through intuitive control solutions that are straightforward to manage and service. Importantly, the DeltaV DCS is adaptable, easily scaling to fit your specific requirements without introducing additional complexity. Furthermore, the seamless integration capabilities of the DeltaV system encompass various functions including batch processing, advanced control, change management, engineering tools, diagnostics, and much more, ensuring a comprehensive solution for your operational needs. Ultimately, this flexibility and integration pave the way for improved productivity and reliability in industrial environments.
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    Pavilion8 Reviews

    Pavilion8

    Rockwell Automation

    Navigating the complexities of industrial processes presents a significant challenge for businesses striving to be both responsive to market demands and economically viable. To meet these challenges, manufacturers are required to refine their production techniques in order to offer an expanded range of higher-value items while also accommodating shorter production runs. It is essential for them to enhance output, optimize operational efficiency, and elevate product quality to the fullest extent permitted by their existing equipment. Achieving this necessitates maximizing equipment uptime and facilitating smoother transitions while minimizing waste. Furthermore, there is an increasing expectation from the public for manufacturers to lessen their environmental footprint and adhere to strict emissions regulations. Rockwell Automation Pavilion8® Model Predictive Control (MPC) technology serves as an advanced intelligence layer that integrates with automation systems, continuously steering the plant toward achieving a multitude of business goals—including cost savings, reduced emissions, consistent quality, and increased production—while operating in real time. This innovative approach not only enhances operational effectiveness but also aligns with sustainability initiatives, positioning manufacturers for success in an evolving marketplace.
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    COLUMBO Reviews

    COLUMBO

    PiControl Solutions

    A closed-loop universal multivariable optimizer is designed to enhance both the performance and quality of Model Predictive Control (MPC) systems. This optimizer utilizes data from Excel files sourced from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson to develop and refine accurate models for various multivariable-controller variable (MV-CV) pairs. This innovative optimization technology eliminates the need for step tests typically required by Aspen Tech and Honeywell, operating entirely within the time domain while remaining user-friendly, compact, and efficient. Given that Model Predictive Controls (MPC) can encompass tens or even hundreds of dynamic models, the possibility of incorrect models is a significant concern. The presence of inaccurate dynamic models in MPCs leads to bias, which is identified as model prediction error, manifesting as discrepancies between predicted signals and actual measurements from sensors. COLUMBO serves as a powerful tool to enhance the accuracy of Model Predictive Control (MPC) models, effectively utilizing either open-loop or fully closed-loop data to ensure optimal performance. By addressing the potential for errors in dynamic models, COLUMBO aims to significantly improve overall control system effectiveness.
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    Pitops Reviews

    Pitops

    PiControl Solutions

    Pitops stands out as the sole software solution capable of executing genuine closed-loop system identification with PID controllers in Auto mode, or even with secondary PID controllers in Cascade mode, without the necessity of interrupting the cascade chain or undertaking additional, labor-intensive plant step tests. No other competitor tool is capable of successfully identifying transfer functions using data from PID controllers in Cascade mode, making Pitops unparalleled in this regard. Additionally, Pitops conducts transfer function identification entirely in the time domain, unlike other tools that rely on the more intricate Laplace (S) or Discrete (Z) domains. It also has the remarkable ability to manage multiple inputs and identify several transfer functions simultaneously. Utilizing a groundbreaking proprietary algorithm, Pitops facilitates multiple inputs closed-loop transfer function system identification in the time domain, significantly surpassing traditional methods like ARX/ARMAX/Box and Jenkins used by competing tools. This innovative approach not only streamlines the process but also enhances accuracy and efficiency, making Pitops the preferred choice in the industry.
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    Guidewheel Reviews

    Guidewheel

    Guidewheel

    $59 per month
    Guidewheel's AI platform will help you get more out of existing assets, reduce costs, and make your team win. The fastest way to improve factory operation. Track downtime accurately and identify root causes for improved efficiency and utilization. Forecast throughput accurately and track planned production vs. actual. Monitor OEE in real-time and see your trend over time. Track cycles, cycle times, and performance against goals. Monitor energy consumption and look for ways to reduce costs and consumption. Find out about maintenance issues before they become a problem. Monitor conditions such as temperature, flow, humidty, and pressure. Unlock hidden capacity by revealing and addressing losses such as preventable downtimes, long changeovers and late starts. AI-driven alerts will notify you when performance is deviating from the plan. This allows your team to take corrective actions and stay on track. Delivering on time is the best way to build customer trust.
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    Aspen DMC3 Reviews

    Aspen DMC3

    Aspen Technology

    Enhance precision and sustainability in advanced process control (APC) models by integrating both linear and nonlinear variables through deep learning techniques, thereby expanding their operational capabilities. Achieve improved returns on investment through swift controller implementation, ongoing model refinement, and streamlined workflows that facilitate easier adoption by engineers. Transform the process of model creation with artificial intelligence and simplify controller calibration by using guided wizards that outline both linear and nonlinear optimization goals. Boost controller availability by leveraging cloud technology to access, visualize, and analyze real-time key performance indicators (KPIs). In the dynamic landscape of the global economy, energy and chemical industries are compelled to operate with increased flexibility to respond to market shifts and optimize profit margins. Aspen DMC3 represents an innovative digital solution that aids organizations in realizing a throughput enhancement of 2-5%, a yield increase of 3%, and a 10% decrease in energy usage. Explore the benefits of next-generation advanced process control solutions to stay competitive and efficient in the industry. The integration of these technologies not only addresses immediate operational challenges but also positions companies for long-term success in an increasingly competitive market.
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    Cybernetica CENIT Reviews
    Cybernetica specializes in providing Nonlinear Model Predictive Control (NMPC) utilizing mechanistic models. Our innovative software solution, Cybernetica CENIT, features a versatile architecture capable of addressing diverse industrial challenges by delivering optimal strategies. This includes advanced multivariable optimal control, predictive control mechanisms, and intelligent feed-forward strategies, along with efficient handling of constraints. Furthermore, our adaptive control capabilities leverage state and parameter estimation, incorporating feedback from indirect measurements via the process model. The use of nonlinear models allows for effective operation across extensive ranges, enhancing the management of nonlinear processes. This leads to a diminished reliance on step-response experiments and bolstered accuracy in state and parameter estimations. Additionally, we offer control solutions for both batch and semi-batch operations, efficiently managing nonlinear processes that function under fluctuating conditions. Our technology also ensures optimal grade transitions in continuous operations, safe supervision of exothermic processes, and control of unmeasured variables, including conversion rates and product quality. As a result, we contribute to reduced energy consumption and a lower carbon footprint, while also enhancing overall process efficiency. In summary, Cybernetica is committed to advancing industrial control solutions that optimize performance and sustainability.
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    AVEVA APC Reviews
    AVEVA APC represents an advanced model predictive control system designed to enhance the economic efficiency of your manufacturing processes. In the current economic landscape, companies encounter diminished capital budgets, soaring energy expenses, and fierce competition on a global scale. AVEVA’s comprehensive Advanced Process Control solutions tackle intricate manufacturing obstacles by utilizing cutting-edge automatic control technologies that maximize the value derived from your operations. This system not only boosts production yields and quality but also diminishes energy consumption. Moreover, it plays a crucial role in optimizing manufacturing processes, facilitating ongoing performance enhancements that significantly benefit your financial outcomes. By leveraging state-of-the-art technology, AVEVA APC provides a holistic approach to process control that ultimately leads to increased profitability through improved quality, enhanced throughput, and decreased energy expenditures. With its ability to unlock the full potential of your processes, AVEVA APC is essential for any manufacturer aiming to thrive in a competitive market.
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    ABB Ability System 800xA Reviews
    The System 800xA by ABB transcends the traditional role of a Distributed Control System (DCS) by also functioning as an Electrical Control System, a Safety system, and a platform that facilitates collaboration, thereby enhancing engineering productivity, operator effectiveness, and asset management. This integrated electrical control capability allows users to manage the entire electrical infrastructure, covering everything from high-voltage switchgear to low-voltage motor controls, making it a versatile choice whether used alongside the 800xA DCS or independently. By utilizing intelligent devices, you can minimize the amount of hardwired cabling in switchgear while maintaining compatibility with various standard protocols. Moreover, the system’s robust digital communication capabilities enhance the flow of information from devices and streamline operations by potentially eliminating the need for additional electrical measurement devices. Through these features, ABB Ability System 800xA not only optimizes control over electrical systems but also significantly simplifies the overall management process.
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    Apromon Reviews

    Apromon

    PiControl Solutions

    Apromon is a web-based software tool designed to evaluate the performance of PID loop controls for both primary and Advanced Process Control (APC) systems. It assesses individual loops, cascade configurations, various APC loops, and even signals that lack a controller but have a process variable (PV). One of Apromon's standout features is its ability to transform different types of controllers, including those for flow, pressure, temperature, and level, into a unified "grade" factor, akin to the scoring system used by educators for student assessments, where 100 represents optimal performance and 0 signifies the lowest. The software operates continuously, performing evaluations at specified intervals to ensure that performance metrics are consistently calculated and stored. Unlike some competing products, Apromon guarantees that it will monitor every tag without omission, making it a reliable choice for continuous performance tracking. This dedication to comprehensive monitoring helps users maintain optimal control over their processes at all times.
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Overview of Advanced Process Control (APC) Systems

Advanced Process Control (APC) systems are computerized control systems used to manage and optimize the performance of industrial processes. They are capable of controlling multiple variables at once, such as temperature, pressure, flow rates and product quality. These systems combine advanced mathematical algorithms and sophisticated hardware components to provide a comprehensive solution for complex process control challenges.

APC systems allow industrial facilities to greatly reduce their energy, resource and material consumption while increasing output levels by better managing and controlling all aspects of the production process. By using this type of system, an operation can minimize its waste and increase its profits through improved efficiency. In addition, APC systems can help prevent costly shutdowns due to safety or process control issues.

At the core of an APC system is a controller that constantly monitors and adjusts process variables according to defined parameters (or setpoints). Depending on the complexity of the task at hand, different types of controllers may be employed including PID controllers (Proportional Integral Derivative), fuzzy logic controllers or model predictive controllers (MPCs). The controller works in harmony with other components such as sensors and networked computers that feed data into it in order to create a feedback loop which helps maintain optimal performance levels in real-time.

The main benefit provided by an APC system over traditional analog or digital control methods is the ability to quickly detect small changes in performance conditions even when many variables are in play at once. This allows operations personnel to take corrective action much faster than they could with manual processes. In addition, since these systems utilize advanced analytics they can suggest alternative strategies for increasing efficiency which may not have been considered otherwise.

Overall, APC systems offer a wide range of benefits including increased efficiency, decreased maintenance costs, less waste production and higher profitability for manufacturing operations - making them well worth considering for any organization looking to improve their operational productivity.

Why Use Advanced Process Control (APC) Systems?

  1. Cost Savings: Advanced Process Control (APC) systems can provide cost savings for organizations by using sophisticated control algorithms to optimize material and energy usage and reduce operational costs.
  2. Increased Efficiency: APC systems are designed to improve plant efficiency by monitoring process variables such as pressure, temperature, flow, level, and composition to make automated adjustments that will increase yield or reduce fuel consumption.
  3. Improved Quality: By providing a better understanding of the process, APC systems help operators identify problems before they become an issue and address them quickly so quality is maintained.
  4. Better Operational Performance: The predictive capabilities of APC systems allow it to anticipate changes in external conditions such as raw material availability or a sudden influx of power supply; these proactive steps can be taken before they occur helping the organization avoid downtime due to unexpected events or fluctuations in resources prices that may affect overall operation performance.
  5. Improved Safety: With the ability to continuously monitor safety-related parameters such as temperature, pressure and chemical levels in hazardous areas, APC processes can help prevent potential accidents from occurring at production sites leading to improved worker safety levels across operations personnel working within those environments.

Why Are Advanced Process Control (APC) Systems Important?

Advanced process control (APC) systems are becoming increasingly important as businesses strive to improve their production processes. APC systems provide a way for companies to optimize their processes without manual intervention, allowing operations to run more smoothly and cost-effectively.

The most significant benefit of using APC systems is that they allow companies to increase productivity while reducing costs. By automating certain parts of the production process, APC systems can help reduce human errors, eliminate guesswork, and make it easier for operators to monitor overall performance levels. This means that production lines can become more efficient and accurate, leading to higher quality output with fewer resources being expended.

Another key benefit of utilizing APC technologies is improved safety standards in industrial settings. Automation enhances safety by removing the need for workers to manually handle hazardous materials or operate dangerous machinery. This also helps lower accident rates on factory floors where increased efficiency measures might require faster speeds or longer hours from employees. Workers will be able to stay healthier and safer when automated controls have been implemented correctly.

Finally, modern APC solutions are integrated with big data analytics tools which allows manufacturers to quickly adjust their production processes based on customer demand cycles or environmental conditions like temperature shifts or changes in humidity levels across different geographical locations. This helps minimize waste resulting from overproducing or underproducing items; thereby saving money in both raw material costs and labor expenses as well as better meeting customer demands in terms of time frames associated with delivery deadlines or order fulfillment expectations.

In summary, advanced process control (APC) systems offer an invaluable tool for improving productivity while maintaining high standards of safety across manufacturing sites around the world; all this at reduced costs compared with traditional manual approaches used before implementation took place.

Features Provided by Advanced Process Control (APC) Systems

  1. Multivariable Control: APC systems can simultaneously control multiple process variables, such as temperature and pressure, to ensure optimal performance in terms of product quality, throughput, cost and energy efficiency.
  2. Model-Predictive Control (MPC): MPC uses advanced mathematical models and algorithms to predict future outcomes based on current plant conditions. This helps optimize process operation by predicting the most beneficial adjustment for future changes in process assets.
  3. Optimization: APC systems provide optimization capabilities that enable efficient control of a range of operations from small unit operations up to complex chemical processes or entire production lines. Optimization algorithms are used to identify the best set points for different process operating parameters in order to minimize costs while meeting all required safety constraints.
  4. Integrated Data Analysis: Advanced process control systems utilize integrated data analysis techniques such as root cause analysis or statistical process control (SPC) charts with high speed sampling which allows rapid detection of abnormalities which might be difficult to detect through traditional manual methods alone.
  5. Automation: With the help of an APC system, it is possible to automate complex processes with minimal human intervention while maintaining high levels of consistency and accuracy across different equipment types and production batches within a plant or across locations distributed geographically around the world leading to increased levels of efficiency at scale up manufacturing processes.

What Types of Users Can Benefit From Advanced Process Control (APC) Systems?

  • Plant Operators: Plant operators can benefit from APC systems by having better control over their processes and being able to respond quickly to changes. This helps them optimize production, reduce costs, and improve safety.
  • Process Engineers: Process engineers can use APC systems to monitor process conditions in real-time, identify problems quickly and implement corrections before they become big issues.
  • Maintenance Teams: Advanced process control systems help maintenance teams get a better overview of their entire system by providing them with detailed data on all the different components that make up the plant equipment. This allows them to manage maintenance activities more efficiently, resulting in fewer unplanned shutdowns.
  • IT Professionals: Advanced process control systems provide IT professionals with a layer of sophisticated algorithms and automation tools that help reduce downtime and increase efficiency throughout the production chain.
  • Quality Assurance Specialists: Quality assurance specialists can also see benefits from advanced process control because it enables them to maintain consistent product quality by identifying potential problems early on and taking corrective action when needed.
  • Managers & Executives: Advanced process control systems are great for managers and executives since they provide real-time visibility into operations across departments, giving leaders greater oversight into how their organization is performing as a whole. They can then use this information to make decisions about where resources should be allocated or what strategies should be implemented for future success.

How Much Do Advanced Process Control (APC) Systems Cost?

The cost of an advanced process control (APC) system can vary significantly depending on the complexity and size of the project. Generally, a complete APC system can range from tens of thousands to hundreds of thousands of dollars for smaller projects and up to millions for larger projects. The costs depend on the number of process variables to be controlled, the number and type of controllers used, and other factors such as hardware, software licenses, engineering services, installation services, maintenance costs, etc.

For smaller projects with few process variables and simpler control requirements, basic controller hardware might cost around $50K -$100K. Once engineering services fees are added ($20K-$60K) and additional hardware/software license fees ($8k-$20K), you might end up in an overall cost range between $80k-200k.

For more complex or larger systems with many process variables to optimize simultaneously, prices may start at around $250k and go up exponentially depending on complexity. In addition to the greater number of instrumentation points that would need to be monitored/controlled (i.e., more instruments/controllers needed); extra expenses associated with a larger system include extra wiring costs ($10-15k), extra software licensing fees (upwards from $30K+), programming & commissioning labor (~$50-100K), additional operational training (~$5-10k). A large multi variable APC system could potentially exceed costs in excess several million dollars for materials alone when all is said & done before taking into account any additional soft cost considerations resulting like labor hours or extended service packages.

Risks To Consider With Advanced Process Control (APC) Systems

The risks associated with Advanced Process Control (APC) systems include:

  • Poor implementation of APC can lead to severe process upsets and upset product quality.
  • The infrastructure required to run an APC system such as cables and networks may introduce reliability and security issues.
  • Lack of personnel trained in APC or understanding the algorithms used to optimize the system can cause errors and costly downtime.
  • If a problem occurs, the detection could be missed due to the complexity of the processes being monitored by the APC system.
  • Unintended consequences from adjustments made to control parameters occur due to poor tuning or lack of understanding about how it interacts with other parts of the plant.
  • There is a risk that advanced process control systems might create excessive confusion for operators during certain scenarios, leading them identify wrong alarms or interpret information incorrectly.

What Software Do Advanced Process Control (APC) Systems Integrate With?

Advanced Process Control (APC) systems can integrate with a variety of software programs for data collection, analysis and presentation. Some specific examples include industrial process automation software, statistical process control (SPC) software, Manufacturing Execution System (MES) software and Human Machine Interface (HMI). These systems enable users to automatically monitor production processes in order to keep them running at the most efficient levels. Data collected by APC systems is analyzed using SPC software which helps to identify patterns or issues related to a process. This information can then be used by MES software to optimize production and ensure that all processes are running properly. Finally, HMI software provides a graphical interface for visually monitoring and controlling machines remotely, as well as displaying any errors that may occur. All of these types of software work together with an APC system to provide visibility into the performance of manufacturing operations so that any potential problems can be quickly addressed before they become major issues.

Questions To Ask Related To Advanced Process Control (APC) Systems

  1. How will the APC system monitor and control all stages of the process?
  2. What specific improvements in efficiency, production rate or quality can be expected with APC installed?
  3. Are there any financial savings or incentives associated with implementing an APC system?
  4. Is the technology suitable for different processes, like batch or continuous operation?
  5. Is the proposed solution scalable and easily extendable to accommodate future grows and needs?
  6. Are special training and personnel requirements necessary for successful implementation of the technology?
  7. What is the maintenance schedule for maintaining peak performance over time?
  8. What are the terms of warranty and support included with installation/upgrade of APC system?