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Guide d’établissement d’un programme scientifique de contrôle de la qualité de la biomasse

https://library.fpinnovations.ca/en/permalink/fpipub19824
Author
Marinescu, Marian
Date
Octobre 2018
Material Type
Research report
Field
Fibre Supply
PDF
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Author
Marinescu, Marian
Contributor
Nova Scotia Innovation Hub
Date
Octobre 2018
Material Type
Research report
Physical Description
27 p.
Sector
Forest Operations
Field
Fibre Supply
Research Area
Forestry
Subject
Biomass
Quality control
Sampling
FOP Technical Report
Series Number
FO Rapport Technique; RT 2018 N 42
Language
English
Abstract
Le présent rapport décrit divers outils statistiques de CQ et en fait la démonstration à l’aide d’exemples de données sur le taux d’humidité de la biomasse. Ces outils peuvent être développés à l’interne ou achetés, mais il est recommandé de les intégrer aux bases de données actuelles (p. ex., LIMS). Les experts de FPInnovations peuvent aider à établir un programme de CQ adapté à une entreprise ou à un produit de biomasse et former les équipes de CQ en vue du développement et de l’utilisation des outils présentés ici.
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Guide to developing a science-based biomass quality control program

https://library.fpinnovations.ca/en/permalink/fpipub52656
Author
Marinescu, Marian
Date
October 2018
Material Type
Guide
Research report
Field
Wood Manufacturing & Digitalization
PDF
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of Forestry, University of British Columbia, Vancouver. The author would like to thank the Nova Scotia
Author
Marinescu, Marian
Contributor
Nova Scotia Innovation Hub
Date
October 2018
Material Type
Guide
Research report
Physical Description
26 p.
Sector
Forest Operations
Field
Wood Manufacturing & Digitalization
Research Area
Advanced Wood Manufacturing
Subject
Biomass
Quality control
Sampling
FOP Technical Report
FPI TR
Series Number
Technical Report ; TR 2018 n.42
Language
English
Abstract
To support the implementation of biomass procurement practices, a formal, rigorous, consistent, science-based biomass quality control (QC) program is needed. This program should be designed to determine customer needs, the sources of product variation, and ways of eliminating or minimizing product variation as soon as it occurs. The program should also include a well-designed QC plan and sampling protocol, statistical process control methodologies and tools, formal QC teams, and regular training. This report describes various statistical QC tools and demonstrates those using examples of biomass moisture content data. These tools can be developed in-house or be purchased, but their integration with existing databases (e.g., LIMS) is recommended. FPInnovations experts can assist in developing customized QC programs for companies and for specific biomass products, and can train QC teams to develop and use the tools presented here.
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