Browsing by Author "Makatsoris, Harris"
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Item Open Access Business as Unusual: Designing products with consumers in the loop.(Cranfield University, 2017-08-23 07:38) Moreno Beguerisse, Mariale; Makatsoris, Harris; Sheldrick, Leila; Dewberry, Emma; Sinclair, MattThis is one of five feasibility studies conducted as part of the recode networkItem Open Access Consumer Driven Energy Drink Development - Workshop(Cranfield University, 2018-04-10 10:19) Isaev, Samet; Makatsoris, HarrisThis project explores a novel methodology for design and manufacture of consumer-driven personalised Energy Drinks (ED) using novel technologies developed by the research group. Initially, a novel online crowdsourcing OI platform named ‘Preference Marketplace’ is used to identify consumer’s preferences & sensory attributes for the formulation of ED and then followed by manufacturing of consumer-preferred ED using a novel automated continuous flow manufacturing reactor for sensory evaluation. By combining the two technologies, it is now possible to produce an economical and sustainable on-demand formulated liquid food products that meet consumer needs.Item Open Access 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, MohannadThe 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.Item Open Access End to End experiments Personalised Beverages Design(Cranfield University, 2019-03-18 14:40) Makatsoris, HarrisThe food industry aims to create and supply food and drink products that satisfy their customers. Currently, products cannot be tailored to meet each individual's desires, only to the collective preferences of target markets. Is it possible to achieve the former, creating food products that match the individual consumer's explicit preferences? To achieve this, we must discover how consumer's perceive products. Once their perceptions are understood, we can tailor ingredient quantities to match the individual's desired product. We will test this concept on orange beverages. This work aims to test if we can create tailored orange drinks from a consumer's description of their ideal drink. Their description is converted into ingredient quantities, with which a drink is created using our beverage formulator. The consumer then tastes the drink and assesses if it correctly matches what they requested. This will be experiment 2. To achieve this, we must first learn how people's perceptions match to ingredients. Consumer's will taste orange drinks in which ingredients quantities differ and we ask them to describe how intense they perceive its flavour attributes. This will be experiment 1. In short:: • In experiment 1, we learn how intense consumers perceive flavour attributes of orange drinks for a given set of ingredients quantities. •In experiment 2, we test if we can choose quantities of ingredients that correctly match consumer's preferences for the same flavour attributes.'Item Open Access From Preferences to Ingredients - Customised Beverage Product Formulation Workshop(Cranfield University, 2018-03-15 10:12) Makatsoris, Harris; McMulloch, Josie; Wagner, ChristianThis work aims to test if we can create tailored orange drinks from a consumer's description of their ideal drink. Their description is converted into ingredient quantities, with which a drink is created using our beverage formulator. The consumer then tastes the drink and assesses if it correctly matches what they requested.Item Open Access Linking Human and Machine - Towards Consumer - Driven Automated Manufacturing(Cranfield University, 2017-03-10 13:55) Isaev, Samet; Jreissat, Mohannad; Wagner, Christian; Makatsoris, HarrisWe 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.Item Open Access A survey on smart automated computer-aided process planning (ACAPP) techniques(Springer, 2018-04-13) Al-wswasi, Mazin; Ivanov, Atanas; Makatsoris, HarrisThe concept of smart manufacturing has become an important issue in the manufacturing industry since the start of the twenty-first century in terms of time and production cost. In addition to high production quality, a quick response could determine the success or failure of many companies and factories. One the most effective concepts for achieving a smart manufacturing industry is the use of computer-aided process planning (CAPP) techniques. Computer-aided process planning refers to key technology that connects the computer-aided design (CAD) and the computer-aided manufacturing (CAM) processes. Researchers have used many approaches as an interface between CAD and CAPP systems. In this field of research, a lot of effort has been spent to take CAPP systems to the next level in the form of automatic computer-aided process planning (ACAPP). This is to provide complete information about the product, in a way that is automated, fast, and accurate. Moreover, automatic feature recognition (AFR) techniques are considered one of the most important tasks to create an ACAPP system. This article presents a comprehensive survey about two main aspects: the degree of automation in each required input and expected output of computer-aided process planning systems as well as the benefits and the limitations of the different automatic feature recognition techniques. The aim is to demonstrate the missing aspects in smart ACAPP generation, the limitations of current systems in recognising new features, and justifying the process of selection.Item Open Access Testing and Evaluation of Preference Marketplace Web Application(Cranfield University, 2017-03-15 09:51) Isaev, Samet; Moreno, Mariale; Makatsoris, HarrisPreference marketplace is digital crowdsourcing tool which employs game mechanics to engage consumers in order to understand their requirements and prioritise the most required product attributes and concepts. A number of case study including food and beverage products has been employed to test the performance of the platform. This platform is web application under development by the Harris Makatsoris research group. Workshops were organised by theHarris Makatsoris research group to collect data at Cranfield University.Item Open Access Workshop Series Towards Preference Marketplace Development(Cranfield University, 2017-03-10 16:25) Isaev, Samet; Makatsoris, Harris; Green, Stephen; Ceschin, FabrizioA series of workshops have been conducted to develop a digital crowdsourcing tool. Preference marketplace is inspired from traditional stock market and prediction markets. the aim of the proposed method is to engage consumers using game mechanics in order to aggregate large and diverse group of people`s opinion toidentify the most promisingnew product ideas and concepts. First we conducted paper based workshops to collect feedback from users. Participants engagement werevery good and their feedback was very positive. After that we developed digital platform and conducted another workshops in the digital environment in order to test performance and the limitations of the online software. A real food product case study was used for the workshop. 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 Brunel and Cranfield Universities.