M
Mattias Eriksson
Researcher at Swedish University of Agricultural Sciences
Publications - 13
Citations - 300
Mattias Eriksson is an academic researcher from Swedish University of Agricultural Sciences. The author has contributed to research in topics: Food waste & Supply chain. The author has an hindex of 7, co-authored 13 publications receiving 173 citations.
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Journal ArticleDOI
Productivity of harvesters and forwarders in CTL operations in northern Sweden based on large follow-up datasets
Mattias Eriksson,Ola Lindroos +1 more
TL;DR: In this paper, the productivity of cut-to-length harvesting and forwarding in thinning and final felling using a routinely recorded follow-up dataset was analyzed using a range of stand-based productivity models for both harvesters and forwarders.
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Management of outsourced forest harvesting operations for better customer-contractor alignment
TL;DR: In this article, the authors present a framework specifically designed to help managers measure and foster contractor alignment within their wood supply chain, which is tested on a large sample of harvesting contractors operating in Sweden, for which a performance survey and a statistical procedure was utilized to segment contractors into groups of varying levels of alignment with their customer company.
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Life cycle assessment of fish oil substitute produced by microalgae using food waste
TL;DR: In this article, the authors used life cycle assessment to quantify environmental impact of DHA produced by the heterotrophic algae Crypthecodinium cohnii, using short-chain carboxylic acids derived from dark fermentation of food waste.
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What gets measured gets managed – Or does it? Connection between food waste quantification and food waste reduction in the hospitality sector
Mattias Eriksson,Christopher Malefors,Pieter Callewaert,Hanna Hartikainen,Oona Pietiläinen,Ingrid Strid +5 more
TL;DR: In this article, the authors identify factors that could make food waste quantification more efficient in terms of waste reduction, and to determine the waste reduction payoff from more ambitious quantification set-ups.
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Food waste reduction and economic savings in times of crisis: The potential of machine learning methods to plan guest attendance in Swedish public catering during the Covid-19 pandemic
TL;DR: In this paper, the authors evaluated the potential of a forecasting model to predict guest attendance during the start and throughout the Covid-19 pandemic in Swedish schools and preschool catering establishments.