Model Predictive Control Toolbox Reviews

Epicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers standardize production and assembly processes, improve quality, and increase visibility across the shop floor. Using digital work instructions with multimedia content, manufacturers can guide operators through critical tasks, enforce process control, and improve consistency across products, workstations, and production lines. CPC connects equipment and devices to collect production and quality data in real time, helping manufacturers identify issues faster, reduce waste, and support continuous improvement. CPC provides product traceability with a complete historical record of each product's build and inspection history. Manufacturers use CPC to support assembly verification, error proofing, quality inspections, operator guidance, and other connected manufacturing initiatives. For manufacturers with complex product variations, CPC can dynamically present the correct work instructions based on the product or configuration being built, helping ensure products are assembled accurately and consistently. Available on-premises or in the cloud, CPC scales from a single work cell to enterprise-wide deployments.

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.