Design of formulated products integrating heuristic knowledge and consumer assessment

Arrieta‐Escobar, Javier A.; Camargo, Mauricio; Morel, Laure; Bernardo, Fernando P.; Orjuela, Álvaro; Wendling, Laurent

doi:10.1002/aic.17117

Cited by 6 publications

(4 citation statements)

References 58 publications

(142 reference statements)

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“…The available product model is presented in Table 1, including design variables, product performance specifications, property models, and heuristic rules. The model is incomplete, not covering all product attributes valued by consumers nor their interactions [26]. Only three product performance metrics are fully quantified with models estimating them as a function of product composition: initial viscosity (µ 1 ), final viscosity (µ 2 ), and greasiness value (γ).…”

Section: Example Of a Cosmetic Emulsionmentioning

confidence: 99%

Generation of Dissimilar Alternative Product Formulations Using Graphs

Bernardo

2023

Processes

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In this work, alternative product formulations are represented as a bipartite graph, and mixed-integer programming is used to find a graph partitioning that identifies the most dissimilar formulations within a potentially large design space. This involves fully integrating available models for product properties and known heuristic rules for product formulation. The set of dissimilar alternative formulations thus found constitutes the best exploratory plan of experiments in the face of the available knowledge. Also in this work, a cosmetic emulsion example is explored, where some ingredients (in a non-specified number) have to be chosen from a pool of 32 possible. The number of possible combinations of ingredients is around half a million. With the new tools proposed herein, one is able to identify small sets of alternative formulations that adhere to available models and known heuristics rules, have maximum dissimilarity, and are optimal regarding a specific product design objective (cost or other), in a few minutes of computational time.

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Section: Example Of a Cosmetic Emulsionmentioning

confidence: 99%

Generation of Dissimilar Alternative Product Formulations Using Graphs

Bernardo

2023

Processes

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“…In this sense, the design process is a detailed activity that takes place in a complex and changing organizational context that necessarily affects the outcome of the design [9][10][11]. This means that different approaches may be used depending on the company culture to respond to a specific design problem [12].…”

Section: Introductionmentioning

confidence: 99%

Towards a Knowledge Base to Support the Management of the Design Process of Formulated Products

et al. 2023

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The design of new consumer chemical products is a complex task at different levels. In addition to the technical challenges of the formulation, design teams should also consider the requirements of the organization where the design is performed. The objective of this article is to present a knowledge base to support decision-making for the design of formulated products, considering the organizational dimension. For this, data were collected during ten semi-structured in-depth interviews with industrial experts who are also decisional actors in the design process. From the collected data, design recommendations were identified and analyzed. These recommendations are statements which can be used by organizations to evaluate, understand, improve, or create their own design methodologies considering their context and resources. Subsequently, the extracted recommendations were analyzed according to three types of criteria: the stages of the design process, the involved actors, and the organizational context. As a result, a knowledge base containing systematically organized recommendations that have led to the development of successful products is presented. Finally, the multiple uses of the knowledge base are shown with theoretical examples and the knowledge base is applied to analyze the design process of a real organization: in a small and medium-sized enterprise (SME) in the cosmetic sector.

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“…Many various texturing properties characterize cosmetic products [ 17 , 18 ]. Slipperiness, spreadability, stickiness, and thickness are examples of sensory attributes which are used for the characterization and perception of cosmetic products [ 19 , 20 , 21 ]. It is usually attempted to link a rheological parameter (e.g.…”

Section: Introductionmentioning

confidence: 99%

Stringiness of hyaluronic acid emulsions

Kibbelaar

Deblais

Velikov

et al. 2021

Intern J of Cosmetic Sci

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Objective Cosmetic emulsions containing hyaluronic acid are ubiquitous in the cosmetic industry. However, the addition of (different molecular weight) hyaluronic acid can affect the filament stretching properties of concentrated emulsions. This property is often related to the “stringiness” of an emulsion, which can affect the consumer's choice for a product. It is thus very important to investigate and predict the effect of hyaluronic acid on the filament stretching properties of cosmetic emulsions. Methods Model emulsions and emulsions with low and high molecular weights are prepared and their filament stretching properties are studied by the use of an extensional rheometer. Two different stretching speeds are employed during the stretching of the emulsions, a low speed at 10 µm/s and a high speed at 10 mm/s. The shear rheology of the samples is measured by rotational rheology. Results We find that filament formation only occurs at high stretching speeds when the emulsion contains high molecular weight hyaluronic acid. The formation of this filament, which happens at intermediate states of the break‐up, coincides with an exponential decay in the break‐up dynamics. The beginning and end of the break‐up of high molecular weight hyaluronic acid emulsions show a power law behaviour, where the exponent depends on the initial stretching rate. At a lower stretching speed, no filament is observed for both high molecular weight and low molecular weight hyaluronic acid emulsions and the model emulsion. The emulsions show a power law behaviour over the whole break‐up range, where the exponent also depends on the stretching rate. No significant difference is observed between the shear flow properties of the emulsions containing different molecular weights hyaluronic acid. Conclusion In this work, we underline the importance of the molecular weight of hyaluronic acid on the elongational properties of concentrated emulsions. The filament formation properties, for example the stringiness, of an emulsion is a key determinant of a product liking and repeat purchase. Here, we find that high molecular weight hyaluronic acid and a high stretching speed are the control parameters affecting the filament formation of an emulsion.

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Design of formulated products integrating heuristic knowledge and consumer assessment

Cited by 6 publications

References 58 publications

Generation of Dissimilar Alternative Product Formulations Using Graphs

Generation of Dissimilar Alternative Product Formulations Using Graphs

Towards a Knowledge Base to Support the Management of the Design Process of Formulated Products

Stringiness of hyaluronic acid emulsions

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