Multiobjective optimization of skim milk microfiltration based on expert knowledge

Belna, Maëllis; Ndiaye, Amadou; Taillandier, Franck; Fernandez, Christophe; Agabriel, Louis; Gésan-Guiziou, Geneviève

doi:10.1016/j.eswa.2022.117624

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…Baudrit et al (2015) modeled preharvest grape berry maturity-a critical characteristic for the wine industry-using expert knowledge and data and probabilistic graphical approaches. Belna et al (2022) optimized microfiltration unit operation to integrate conflicting stakeholder objectives, such as maximizing product output quality while minimizing cost inputs and addressing environmental impacts. Baudrit et al (2022) used data from scientific articles describing the entire milk microfiltration process including several unit operations in addition to the milk microfiltration step as skimming, heat treatment or storage.…”

Section: Comparison To the Current State Of The Artmentioning

confidence: 99%

Integrating collective know-how for multicriteria decision support in agrifood chains—application to cheesemaking

Buche¹,

Julien²,

Cufi³

et al. 2023

Front. Artif. Intell.

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Agrifood chain processes are based on a multitude of knowledge, know-how and experiences forged over time. This collective expertise must be shared to improve food quality. Here we test the hypothesis that it is possible to design and implement a comprehensive methodology to create a knowledge base integrating collective expertise, while also using it to recommend technical actions required to improve food quality. The method used to test this hypothesis consists firstly in listing the functional specifications that were defined in collaboration with several partners (technical centers, vocational training schools, producers) over the course of several projects carried out in recent years. Secondly, we propose an innovative core ontology that utilizes the international languages of the Semantic Web to effectively represent knowledge in the form of decision trees. These decision trees will depict potential causal relationships between situations of interest and provide recommendations for managing them through technological actions, as well as a collective assessment of the efficiency of those actions. We show how mind map files created using mind-mapping tools are automatically translated into an RDF knowledge base using the core ontological model. Thirdly, a model to aggregate individual assessments provided by technicians and associated with technical action recommendations is proposed and evaluated. Finally, a multicriteria decision-support system (MCDSS) using the knowledge base is presented. It consists of an explanatory view allowing navigation in a decision tree and an action view for multicriteria filtering and possible side effect identification. The different types of MCDSS-delivered answers to a query expressed in the action view are explained. The MCDSS graphical user interface is presented through a real-use case. Experimental assessments have been performed and confirm that tested hypothesis is relevant.

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Section: Comparison To the Current State Of The Artmentioning

confidence: 99%

Integrating collective know-how for multicriteria decision support in agrifood chains—application to cheesemaking

Buche¹,

Julien²,

Cufi³

et al. 2023

Front. Artif. Intell.

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“…Therefore, a population‐based metaheuristic algorithm, multi‐objective genetic algorithm (MOGA) is applied to optimise several conflicting objectives concurrently under given specific conditions. In spite of its mathematical complexity, the main advantage of the MOGA produces a large number of non‐dominated optimal solutions (Pareto optimal solutions/efficient solutions) for a decision‐making problem (Belna et al, 2022; Winiczenko et al, 2018). It is up to the decision makers (or, the users) to select the ultimate solution depending upon their preferences and goals (Winiczenko et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Optimization of frying process for maintaining nutritional quality to satisfy consumers' sensory attributes: A novel application of multi‐criteria decision‐making approach

Sadhu

Lahiri

Roy

et al. 2022

Multi Criteria Decision Anal

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The objective of the study was to assess the optimum frying condition of fish considering the multiple perspectives (retention of nutritional quality indices [NQI], reduction of preparation time, and improvement of health benefit) to satisfy consumerpreferred sensory attributes by controlling the most impactful process variables (temperature, time, and oil amount). The multi-criteria decision-making (MCDM) approach is appropriate to handle the numerous conflicting criteria and numerous multiple objectives. First, an artificial neural network (ANN) model was developed to build a nonlinear correlation between the cooking process parameters and NQI by an automatic exhaustive search of all available algorithms and activation functions. All the NQI are conflicting in nature. Therefore, the ANN-based multi-objective genetic algorithm was implemented to obtain the Pareto optimal solutions to improve all NQI simultaneously. Five optimised conditions were selected amongst the Pareto optimal solutions, satisfying the above-mentioned multiple criteria. Finally, a well-known MCDM approach, the analytical hierarchy process (AHP), was applied for sensory analysis to evaluate the overall acceptance of the optimised conditions based on the relative importance of consumers' general sensory modalities (flavour, colour & appearance, and taste). Furthermore, the following condition (140.01 C, 7.62 min, 47.87 ml oil/kg of fish) was selected as the most accepted in terms of all quality attributes that may be implemented as the standard condition in domestic and industrial purposes.

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Towards more biomimetic and sustainable infant formula: challenges and future opportunities

Deglaire

Lee

Lanotte

et al. 2023

Trends in Food Science & Technology

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Multiobjective optimization of skim milk microfiltration based on expert knowledge

Cited by 5 publications

References 34 publications

Integrating collective know-how for multicriteria decision support in agrifood chains—application to cheesemaking

Integrating collective know-how for multicriteria decision support in agrifood chains—application to cheesemaking

Optimization of frying process for maintaining nutritional quality to satisfy consumers' sensory attributes: A novel application of multi‐criteria decision‐making approach

Towards more biomimetic and sustainable infant formula: challenges and future opportunities

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