Browsing by Author "Jreissat, Mohannad"

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    Consumer driven new product development in future re-distributed models of sustainable production and consumption
    (Elsevier, 2017-07-11) Jreissat, Mohannad; Isaev, Svetlin; Moreno, Mariale; Makatsoris, Charalampos
    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.
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    Consumer Driven New Product Development in Future Re-Distributed Models of Sustainable Production and Consumption
    (Cranfield University, 2017-03-10 16:19) Isaev, Samet; Makatsoris, Harris; Moreno, Mariale; Jreissat, Mohannad
    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 personalized customer products are critical important for economically and sustainable production. Wedemonstrated a model-based methodology and manufacturing process development for large scale beverage product customization.An orange beverage has been selected as case study to show that by linking a game-like consumer facing we b application and a novel computer driven flow manufacturing system. First we obtained the target sensory attributes from consumer groups, those data 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. This platform is web application under development by the Harris Makatsoris research group. Workshops were organised to collect data by theHarris Makatsoris research group at Cranfield University.
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    Linking Human and Machine - Towards Consumer - Driven Automated Manufacturing
    (Cranfield University, 2017-03-10 13:55) Isaev, Samet; Jreissat, Mohannad; Wagner, Christian; Makatsoris, Harris
    We established a link between linguistic descriptors describing food preferences and product manufacturing processes. Model-based methodology was employed to translate consumer preferences into product and process specifications. The aim of the research is the large scale personalization of formulated food product manufacture where consumers are also the con-creators of the food products they wish to buy. Fuzzyset modelling was used to capture the preferences and perceptions by different group of people. Then, models were employed to established the links between such product attributes and the actual formulation parameters to make the product.