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Data Analytics in the Hardwood Industry: The Impact of Automation and Optimization on Profits, Quality, and the Environment

Data Analytics in the Hardwood Industry: The Impact of Automation and Optimization on Profits, Quality, and the Environment

Libor Cech, Joseph Cazier, Ashley B. Roberts
Copyright: © 2014 |Volume: 1 |Issue: 4 |Pages: 18
ISSN: 2334-4547|EISSN: 2334-4555|EISBN13: 9781466661899|DOI: 10.4018/ijban.2014100102
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MLA

Cech, Libor, et al. "Data Analytics in the Hardwood Industry: The Impact of Automation and Optimization on Profits, Quality, and the Environment." IJBAN vol.1, no.4 2014: pp.16-33. http://doi.org/10.4018/ijban.2014100102

APA

Cech, L., Cazier, J., & Roberts, A. B. (2014). Data Analytics in the Hardwood Industry: The Impact of Automation and Optimization on Profits, Quality, and the Environment. International Journal of Business Analytics (IJBAN), 1(4), 16-33. http://doi.org/10.4018/ijban.2014100102

Chicago

Cech, Libor, Joseph Cazier, and Ashley B. Roberts. "Data Analytics in the Hardwood Industry: The Impact of Automation and Optimization on Profits, Quality, and the Environment," International Journal of Business Analytics (IJBAN) 1, no.4: 16-33. http://doi.org/10.4018/ijban.2014100102

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Abstract

Numerous innovative technologies are available to assist the struggling hardwood lumber industry adapt to changing market demands and environmental concerns. However, most mill owners do not utilize automated lumber systems because they do not realize how substantial volume and value gains can be. Thus, there is a need to quantify improved efficiencies while also providing reliable information about how these measures translate into profitability for the mill. This study highlights new hardwood sawmill technologies, specifically in the areas of information systems and visualization technologies, and assesses the environmental impacts alongside the practicality of widespread application. Results from on-site testing were combined with other research in the field, concluding that properly applying visualization, optimization, and information technologies across the manufacturing process can significantly improve overall yield values. Combining engineering technologies with IS and strategic supply chain management leads to reduced waste and increased profits, benefiting local economies and forest resources across the globe.

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