Use case of

Qsee

tag
Pulp and Paper
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High level customers
Scandinavian $1B+ pulp and paper company
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Start-Up Nation Central

What Challenges are you solving in this industry

  • Energy saving & transition [ET]

  • Improving Availability and Reducing downtime (i.e predictive maintenance reliability) [PM]

  • Improving Process Productivity/Yield - Asset/Process performance management [APY]

  • Improving Quality (inspection process control) [QI]

  • Process digitalisation and automation [PDA]

  • Supply-chain efficiency and visibility [SCE]

Description of solution

Qsee’s AI-based software solution offers predictive analytics that improves process and product quality, in the pulp and paper industries that utilize industry 4.0 continuous process manufacturing. Qsee provides real-time product and process quality prediction, root-cause analysis, and alerts, in order to reduce and prevent process inefficiencies, variance and downtime, and improve productivity. By applying deep learning to the production process, Qsee clarifies future process performance and generates recommendations that improve outcomes, yield and quality. Your production line and product quality are constantly monitored for anomalies, in order to identify the primary contributing factors to, among others, web breaks, kappa and whiteness, OBA, excessive raw materials usage, fiber recovery and process inefficiencies, thus enabling you to take corrective measures ahead of time. Qsee automatically finds the main deficiency contributors and reveals hidden insights. Qsee then guides the operator with a simple and intuitive prescription and dashboard, walking him through the deficiency correction ahead of time. We completely automate the laboratory testing (e.g. CMT) and Qsee solution also supports the company’s knowledge transfer and preservation.

What is the value you bring to your customers?

Qsee’s real-time AI-Powered predictive analytics saves process manufacturers millions on annual operating costs. Qsee non-intrusive software as a service, applies deep learning to cross-analyze varied and large data sources and predict process failures and quality issues before they happen. Qsee enables the use of before-time rather than just-in-time or too late, and allows minimizing products and production variance. In a COVID-19 era, workforce challenges are intensified. Qsee’s Zer0-Defect® automates manual and infrequent laboratory testing, decreases downtime, rework, waste and environmental pollutions as well as helps companies with better manufacturing knowledge transfer and preservation. We are driving manufacturers to optimize and better productivity using deep-tech technology. In the paper industry we are predicting 75% of the sheet breaks more than 1h before the tear happens, we are reducing chemicals usage with more than 10%, we help save more than 15% on raw materials, and we help saving double digits on fibers.

Supported locations

USA, Germany, Japan, Brazil, World Wide

Time to implementation

8-10 weeks