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Data Driven Decision Articles & Analysis
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The piece also examines the role of the circular economy in reducing climate impact and argues that data-driven decision-making matters more than ever. Key topics examined Where do the biggest emissions in waste-management machinery actually originate? ...
ByTana Oy
The solar-powered stations monitor temperature, relative humidity, precipitation, solar irradiance, wind speed/direction, and barometric pressure, transmitting data in real time via 4G and LoRaWAN to an integrated platform. This enables data-driven planting, irrigation, and harvest timing decisions, supporting climate-smart ...
Quick Summary This comprehensive blog post explains that electrical control panels are the backbone of industrial manufacturing, serving as centralized systems that distribute power, protect equipment, and automate processes. The main components include structural elements (enclosures, DIN rails, wire ducts) and functional devices such as circuit breakers for protection, PLCs for automation ...
This significant milestone marks the first sensor-based monitoring approval known in California, enabling effective NSZD quantification using only three strategically deployed sensors for enhanced environmental ...
ByLiORA
Effective resource allocation and enhancement to operational efficiency. With only 6 sensors and LiORA Insights there was dramatic acceleration in decision-making processes with sensor data and analytics to showcase: Bioremediation injection effectiveness NSZD rates quantified for transition decision Vapor intrusion protection maintained Portfolio optimization achieved ...
ByLiORA
Achieving $49,500 in annual savings by transitioning from quarterly to annual sampling utilizing 6 sensors for enhanced groundwater dynamics correlation and reduced operational ...
ByLiORA
Across the oil and gas sector, digital twins have become central to the drive for efficiency, reliability, and sustainability. Yet many implementations still fall short of their potential — particularly when the underlying process models don’t fully reflect reality. As the team at MySep has observed through multiple projects, one of the most underestimated areas in achieving an ...
Without XRF, such zones could be discounted prematurely if decision criteria focus strictly on copper grades. Field Realities in Latin America Extreme field conditions require rugged, field-ready instruments. ...
By combining efficient motors with smart control systems, operators can optimize lifting cycles, monitor energy consumption in real-time, and detect potential issues before they cause downtime.This integration also facilitates compliance with Industry 4.0 practices, where data-driven decision-making enhances operational efficiency and reduces ...
Precise isolation of individual cells enables the capture of functional heterogeneity and supports data-driven decisions in research, development, and manufacturing contexts.What is Single Cell ...
ByCytena
Organizations face a storm of challenges: the strain of product demand, limited supply chain resources, and an unprecedented exodus of people leaving the workforce. Thankfully, Industry 4.0 technology and systems provide some ...
The University of Nebraska-Omaha operates one of the state’s few programs dedicated to supply chains. Steve Schulz, Ph.D., Associate Professor of Logistics & Supply Chain Management, said the program focuses on all the latest innovations regarding supply chain technology. ...
Inventory mistakes are amplified when errors accumulate and impact corporate financial statements. Storing inventory that you cannot see—such as in bins and silos—can be particularly risky if manual measurements and estimations are the basis for calculating inventory value. Bulk solid inventory is handled in several ...
The emergence of IoT sensor networks allows continuous data collection across multiple locations, but raw data alone is insufficient. ...
As manufacturing environments become more complex and sustainability expectations rise, identifying emission sources, understanding accumulation behavior, and implementing data-driven control strategies become essential for effective environmental and operational management.What Causes Black Carbon Emissions in Automotive ...
The Well Redundancy Problem Every groundwater monitoring network includes wells that cost money but provide no commensurate value. This statement reflects reality at contaminated sites worldwide, not a criticism of the hydrogeologists who designed these networks. Contamination plumes evolve over time, and our understanding of subsurface conditions improves as data accumulates. A well that ...
ByLiORA
This ensures identical environmental exposure during construction and commissioning, enabling reliable compensation of soiling losses during capacity testing, early identification of excessive soiling, data-driven cleaning decisions, and reduced contractual ambiguity. Importantly, this approach does not require early SCADA integration: sensors ...
Maintaining underground sewer systems is essential to ensure public health, prevent flooding, and avoid costly infrastructure failures. A comprehensive sewer inspection helps municipalities and contractors detect blockages, cracks, corrosion, and other structural issues before they turn into serious problems. Traditionally, these inspections have been conducted using manual entry or ...
After a volatile year for supply chains and bulk pricing fluctuations across industries—from milling to plastics to aggregate—the state of industrial markets in 2026 remains uncertain. With the total cost of inventory distortion projected at $1.7 trillion in 2024 [IHL], it is clear that plant operators and worksite supervisors need better visibility into their bulk inventory levels ...
Modern equipment often comes with automation and real-time monitoring capabilities, allowing operators to detect inefficiencies early and make data-driven decisions.2. Integrated Process Planning Mapping the flow of materials from extraction to final product is crucial. ...