Cement Shipments Drop 2% in January

Total shipments of portland and blended cement, including imports, in the United States and Puerto Rico in January 2021 were 6.7 million metric tons (Mt), a 2% decrease from shipments in January 2020, according to the most recent USGS Mineral Industry Survey. The leading producing states for portland and blended cement in January 2021 were, in descending order, Texas, California, Missouri,…

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New PCA Update Focuses on American Rescue Plan

The Portland Cement Association (PCA) Market Intelligence Group released its March economic update, focusing on the impacts of the $1.9 trillion American Rescue Plan Act of 2021. The update discusses how the latest round of fiscal stimulus will provide positive support for key macroeconomic indicators and prevent the economy from slipping into further decay. 

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CEMEX Dominicana to Expand Operations

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CEMEX Dominicana expects to recommission one of its production lines at its plant in San Pedro de Macoris, Dominican Republic, which could imply a 33% increase in its production capacity in the country. The increase would boost the cement industry’s self-sufficiency, noted the company, and would strengthen CEMEX Dominicana’s position to serve the growth of the construction sector in the…

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Cement Shipments Rise in December, Full Year 2020

Total shipments of portland and blended cement, including imports, in the United States and Puerto Rico in December 2020 were 7.5 million metric tons (Mt), a 13% increase from shipments in December 2019, according to the most recent USGS Mineral Industry Survey. Shipments for the year through December totaled 103 Mt, a slight increase from those for the same period in…

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Seebo AI Solution Predicts, Prevents Production Losses

Cement manufacturers suffer, on average, millions of dollars of losses each year due to various process-driven inefficiencies such as kiln throughputs, emissions, clinker quality and ammonia usage. Seebo’s Process-Based Artificial Intelligence solution enables cement manufacturers to identify process-driven inefficiencies in their production processes in order to predict and prevent production losses. 

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