Effects of the homopolymer molecular weight on a diblock copolymer in a 3D spherical confinement

The morphologies of a diblock copolymer spherically confined within a homopolymer were investigated by using the static self-consistent field theory method. A homogeneous A-B diblock copolymer sphere was surrounded by a homopolymer C. Upon changing the diblock volume fraction, homopolymer molecular weight and the interaction between the copolymer and its surrounding environment, different morphologies of the sphere were observed. Our calculations confirmed that when the homopolymer molecular weight was high a complete macrophase separation between the copolymer and the homopolymer was obtained. However, when the homopolymer molecular weight was low the homopolymer penetrated into the copolymer microdomains, diluting the diblock copolymer and reduced the interaction between the diblock copolymer segments and hence preventing them from segregating

Consumer driven new product development in future re-distributed models of sustainable production and consumption

The customer as co-creator of products is a grand challenge the entire consumer products manufacturing industry is facing. The design, manufacture and delivery of mass personalised consumer products must not only meet customer preferences but must be produced economically and sustainably too. Re-Distributed Manufacturing (RDM) has the potential to disrupt the way products are designed, produced and consumed products across their entire lifecycle and will allow the creation of disruptive business models and entirely new supply chain structures. New structures of design and manufacturing can enable large reductions in resource consumption by limiting waste in a supply chain (e.g. reducing transport distances) and through addressing the flows of resources at critical times in the lifecycle of products. It can also enable reduction of R&D waste by enabling a more targeted delivery of custom products to meet specific user needs and demands in different contexts and across extended timespans of the product lifecycle. Few manufacturers have started experimenting with open innovation to address the two manufacturing challenges of: (i) the ability to identify rapidly the needs and preferences of different market segments; (ii) the ability to respond quickly and flexibly to those. This paper demonstrates a model-based methodology and information technology to engage consumers at large scales to drive new product and manufacturing process development to address these challenges. An orange beverage has been selected to show that by linking a game-like consumer facing web application and a novel computer driven flow manufacturing system, target sensory attributes obtained by consumer groups can be rapidly translated into a new formulation recipe and its manufacturing process of a beverage that meets those needs and prototyped for that consumer group to evaluate. One can then envisage future scenarios where formulated consumer products are rapidly co-created and produced serving the needs of localised markets

Consumer driven new product development in future re-distributed models of sustainable production and consumption

The customer as co-creator of products is a grand challenge the entire consumer products manufacturing industry is facing. The design, manufacture and delivery of mass personalised consumer products must not only meet customer preferences but must be produced economically and sustainably too. Re-Distributed Manufacturing (RDM) has the potential to disrupt the way products are designed, produced and consumed products across their entire lifecycle and will allow the creation of disruptive business models and entirely new supply chain structures. New structures of design and manufacturing can enable large reductions in resource consumption by limiting waste in a supply chain (e.g. reducing transport distances) and through addressing the flows of resources at critical times in the lifecycle of products. It can also enable reduction of R&D waste by enabling a more targeted delivery of custom products to meet specific user needs and demands in different contexts and across extended timespans of the product lifecycle. Few manufacturers have started experimenting with open innovation to address the two manufacturing challenges of: (i) the ability to identify rapidly the needs and preferences of different market segments; (ii) the ability to respond quickly and flexibly to those. This paper demonstrates a model-based methodology and information technology to engage consumers at large scales to drive new product and manufacturing process development to address these challenges. An orange beverage has been selected to show that by linking a game-like consumer facing web application and a novel computer driven flow manufacturing system, target sensory attributes obtained by consumer groups can be rapidly translated into a new formulation recipe and its manufacturing process of a beverage that meets those needs and prototyped for that consumer group to evaluate. One can then envisage future scenarios where formulated consumer products are rapidly co-created and produced serving the needs of localised markets

Linking sensory perceptions and physical properties of orange drinks

This paper investigates if sensory perceptions of orange drinks (e.g., acidity, thickness, wateriness) can be linked to physical measurements (e.g., pH, particle size, density). Using this information, manufactured drinks can be tailored according to consumer' desires by, for example, the consumer providing a sensory description of their preferred drink. Sensory perceptions of different juices are collected in a survey and used to determine 1) if consumers can distinguish between different drinks using the provided sensory descriptors, and 2) if the perceptions match to physical measurements of the drinks. Results show that most of the given sensory descriptors are useful in describing differences in orange drinks. Additionally, the perceived wateriness and thickness of the drinks can be predicted from measurements. However, the perceived acidity could not be reliably predicted. The results show that personally tailored orange beverages can be manufactured according to some of the consumer's desires and there is scope for future developments tailored to a wider range of drink attributes

Interval-valued sensory evaluation for customized beverage product formulation and continuous manufacturing

Understanding of consumer preferences and perceptions is a vital challenge for the food and beverage industry. Food and beverage product development is a very complex process that deals with highly uncertain factors, including consumer perceptions and manufacturing complexity. Sensory evaluation is widely used in the food industry for product design and defining market segments. Here, we develop a two-step approach to minimize uncertainty in the food and beverage product development, including consumers as co-creators. First, we develop interval-valued questionnaires to capture sensory perceptions of consumers for the corresponding sensory attributes. The data captured is modelled with fuzzy sets in order to then facilitate the design of new consumer-tailored products. Then, we demonstrate the real-world manufacture of a personalized beverage product with a continuous food formulation system. Finally, we highlight consumers` perceptions for the corresponding sensory attributes and their fuzzy set generated agreement models to capture product acceptance for the formulated and commercial orange juice drinks, and consequently to establish that continuous beverage formulator is capable of making similar commercial products for individuals