Precipice of Green Manufacturing Sustainability


Manufacturers and energy companies are facing an ultimatum: get green or lose investment and market opportunities. Facing pressure from endowments, governments, and consumers, manufacturers must position themselves as green while navigating tremendous supply chain bottlenecks with both shipping containers and semiconductors. To start, Capgemini recently released a comprehensive guide for sustainable operations to help manufacturers realize the benefits of sustainability.

This week a long list of news hit the wire regarding industry strategy for reducing carbon emissions and improving manufacturing sustainability:

Industry software providers also sense product opportunities to support sustainability. OSisoft shows how they are creating a sustainable future in Pulp and Paper. C3 AI and Ball Corporation “are committed to providing low-carbon, infinitely recyclable aluminum packaging to drive their vision for a more circular and sustainable economy” through the use of C3’s Energy Management product. AWS and Bloomberg have developed a machine learning model to estimate corporate greenhouse gas emissions to help investors “align their investments with the regulatory measures and achieve net-zero goals.” As net-zero carbon, green manufacturing, and corporate sustainability targets get closer, more part and software suppliers will fill the need for better materials and tools to alleviate the pressure.

Visual Inspection

This Tesla co-founder has a plan to recycle your EV batteries

Also, watch how Anglian Water is solving its submerged pumps’ condition monitoring challenges.

Acoustic Monitoring

Assembly Line

Revolutionizing the Composting Industry

📅 Date:

✍️ Author: Haley Rischar

🔖 Topics: recycling, robotics

🏢 Organizations: Atlas Organics, AMP Robotics, Rotochopper

“To our knowledge, this facility is the first time that AI (artificial intelligence) and robotics have been used in a pre-sort facility for organics in North America,” says McMillin. “The goal of the presort facility is to remove contaminants from the organic waste stream prior to processing instead of trying to remove those contaminants after they’ve been through the composting process via vacuums and wind sifters that have historically been attached to the screening process.

Read more at Waste Today

This is why railway communications needs great network design

📅 Date:

✍️ Author: Juan Manuel Melero

🔖 Topics: 5G, IIoT

🏭 Vertical: Railroad

🏢 Organizations: Ericsson

A solid network design is the foundation to deliver on stringent performance requirements associated with mission-critical railway communications and to deliver on consumer expectations, which remain unchanged regardless of being at home or sitting on a train moving at 500km/h.

Network design has the potential to identify the optimal site locations to deliver the target performance at the best TCO, but its complexity cannot be overlooked. While cell planning tools exist, operating them for the right outcome is not trivial and requires highly skilled experts connected to a global knowledge base to keep up to date with the latest industry developments and realize the potential of 5G-based FRMCS.

Read more at Ericsson Blog

Thermal Process Modeling to Save Energy

📅 Date:

✍️ Authors: V. Mendoza, J. Gonzalez

🔖 Topics: energy consumption, finite element method

🏭 Vertical: Primary Metal

🏢 Organizations: Carpenter Technology

The thermal schedule for heating workpieces is often determined by simple rules and experience in industrial production. Thus, a finite element method (FEM) based simulation of heating ingots in heat treatment furnaces is of great importance to thermal optimization. FEM modeling allows for the prediction and control of temperature uniformity — and ultimately microstructure, residual stresses, workpiece properties, and reducing energy consumption.

Read more at Carpenter Technology Blog

Before the Flood: How Technology Is Helping Build Water Resilience Around the Globe

📅 Date:

✍️ Author: Mark De Wolf

🔖 Topics: IIoT, sustainability

🏢 Organizations: Autodesk, Veolia

At Veolia Water Technologies—a division of global water, waste, and energy management giant Veolia—the company’s developers are working on new ways to prepare cities for the inevitable. They’re applying digital and IoT technologies and predictive analytics to build water-resilience management techniques such as flood modeling, sustainable drainage design, clean water distribution, and resource optimization.

Read more at Redshift by Autodesk

Applying deep learning to sensor data to support workers in manufacturing

📅 Date:

✍️ Author: Yuichi Sakurai

🔖 Topics: cyber-physical systems, convolutional neural network

🏢 Organizations: Hitachi

To achieve next-generation production systems and Multiverse Mediation with CPSs, 4M (huMan, Machine, Material, and Method) work transitions need to be clarified and used more accurately. However, traditional systems cannot detect deviations in manual procedures. To resolve these issues, we are developing a highly accurate detection technology for “human work”. Figure 2 shows the assembly cells considered in this study.

Compared to conventional approaches, we achieved a 15% reduction in product assembly time and a deviation detection leak of almost zero (more than 95% work identification accuracy). These results demonstrated the potential for our system to efficiently and effectively support manufacturing workers and contribute to greater efficiency and quality management in the assembly of complex equipment.

Read more at Hitachi Industrial AI Blog

Real-Time Sensors Allow Data-Driven Monitoring of Flow-Measurement Systems

📅 Date:

✍️ Author: Behzad Nobakht

🏭 Vertical: Petroleum and Coal

🏢 Organizations: TUV SUD National Engineering Laboratory

The downtime of manufacturing machinery, engines, or industrial equipment can cause an immediate loss of revenue. Reliable prediction of such failures using multivariate sensor data can prevent or minimize the downtime. With the availability of real-time sensor data, machine-learning and deep-learning algorithms can learn the normal behavior of the sensor systems, distinguish anomalous circumstances, and alert the end user when a deviation from normal conditions occurs.

Read more at Journal of Petroleum Technology

Europe’s new €1.6bn chip plant needs only 10 workers on factory floor

📅 Date:

🏭 Vertical: Semiconductor, Automotive

🏢 Organizations: Infineon

A 60,000 square meter facility built specializing in power semiconductors seeks ease bottlenecks for major automotive clients. The increase in automation solutions has made localized European production of semiconductors possible. By reducing comparable personnel needed to run the facility from 150 to 10 makes the factory cost competitive with factories in Asia.

Read more at Financial Times (Paid)

Surge Demand

LG Electronics turns home appliance plant into smart factory. How Shell restarted their oil platforms in the Gulf after Hurricane Ida. Google releases a new supply chain digital twin solution. John Deere is acquiring 5G spectrum for their factories. Japan reevaluates its strategic position in the semiconductor industry. Rivian sparks a green-economy boon town by their factory in Normal, Illinois.