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Record W7063751693

Analyse technico-économique de la valorisation des coproduits de crabe et de homard en Gaspésie : un outil pour les transformateurs

2023· other· fr· W7063751693 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2023
Typeother
Languagefr
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsnot available
Fundersnot available
KeywordsHomogeneousEconomic transformationCost analysis
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : La transformation du crabe et du homard au Québec génère annuellement une quantité importante de résidus, appelés coproduits. Ce mémoire s’intéresse au potentiel économique d’un projet de valorisation d’une partie de ces coproduits, plus spécifiquement la transformation des résidus en poudre. Une analyse technico-économique a permis d’évaluer la valeur actuelle nette de ce projet à -146 676 938$, pour un projet d’une durée de 15 ans. Les principales variables influençant négativement ce résultat sont les coûts de main-d’œuvre et la faiblesse des revenus associés au projet. Des analyses de sensibilité ont été réalisées afin de vérifier le niveau de risque auquel s’exposent les transformateurs s’ils souhaitent aller de l’avant avec le projet. Afin de déterminer les variables à inclure dans ces analyses, des entrevues semi-dirigées ont été conduites avec quatre transformateurs de crabe et de homard de la Gaspésie. Celles-ci ont permis de conclure que les principales menaces perçues par les transformateurs pour l’industrie sont les fermetures de zone, les changements climatiques, les risques rattachés à l’exportation de même que le recrutement de main-d’œuvre. La variation de la valeur des variables associées à ces risques a permis de chiffrer l’impact de chacune sur la valeur actuelle nette. Seule l’augmentation du prix de vente permet l’obtention d’une valeur actuelle nette positive. Pour ce faire, celui-ci doit être 6,8 fois supérieur au prix de vente initialement anticipé. Cette recherche permet de conclure qu’il n’est pas recommandé d’investir dans ce projet dans sa forme actuelle. -- Mot(s) clé(s) en français : Coproduits, analyse technico-économique, crabe, homard, Gaspésie, transformation, analyse de sensibilité, résidus. -- \nABSTRACT : The processing of crab and lobster in Quebec generates every year a large quantity of residues, called co-products. This thesis focuses on the economic potential of a project aiming to valorize part of these co-products, more explicitly the transformation of residues into powder. A techno-economic analysis made it possible to evaluate the net present value at -$146,676,938, for a 15-year project. The main variables negatively influencing this result are the labor costs and the low income associated with the project. Sensitivity tests were carried out to verify the level of risk to which processors are exposed if they wish to go ahead with the project. To determine the variables to include in these analysis, semi-structured interviews were conducted with four crab and lobster processors from the Gaspé Peninsula. These led to the conclusion that the main threats perceived by the processors for the industry are zone closures, climate change, risks associated with exporting as well as labor shortage. The variation in the value of the variables associated with these risks allowed to estimate the impact of each of these variables on the present net value of the project. Only a considerable increase in selling price allows this project to reach a positive net value. Indeed, the selling price of the final product must be 6.8 times higher than the actual selling price estimation. This research leads to the conclusion that it is not recommended to invest in this project in its current form. -- Mot(s) clé(s) en anglais : Co-products, techno-economic analysis, crab, lobster, Gaspésie, processing, sensitivity analysis, waste.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.203
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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