Browsing by Author "Makatsoris, Harris"

Now showing 1 - 11 of 11
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    Assessment of an emerging aerospace manufacturing cluster and its dependence on the mature global clusters.
    (Elsevier, 2018-02-08) Luna, José; Addepalli, Sri; Salonitis, Konstantinos; Makatsoris, Harris
    This study assesses the aerospace manufacturing industry of an emerging cluster by using Porter’s Diamond model. The assessment is used to identify its dependence from mature global markets and the elements that are behind its dependence. In the first part of the paper, an introduction to the current landscape, the market trends and challenges of the aerospace industry is presented. Then, a case study of an emerging aerospace manufacturing cluster is undertaken: the case of Mexico. The results indicated that the aerospace industry in this country has positively developed, however, it is still highly dependent on mature global markets. Recently launched strategies and programs from the government, evidence that it is aiming to impulse the growth of the aerospace industry and to reduce its dependence on foreign markets.
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    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, Matt
    This is one of five feasibility studies conducted as part of the recode network
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    Consumer Driven Energy Drink Development - Workshop
    (Cranfield University, 2018-04-10 10:19) Isaev, Samet; Makatsoris, Harris
    This 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.
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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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    End to End experiments Personalised Beverages Design
    (Cranfield University, 2019-03-18 14:40) Makatsoris, Harris
    The 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.'
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    From Preferences to Ingredients - Customised Beverage Product Formulation Workshop
    (Cranfield University, 2018-03-15 10:12) Makatsoris, Harris; McMulloch, Josie; Wagner, Christian
    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.
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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.
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    A roadmap to Innovation: The Directed Assembly Network
    (2016-12-20) Rose, Julian; Raithby, Paul; Woods, Jenny; Makatsoris, Harris; Price, Sally; Wilson, Chick; Jackson, George; Ward, Mike; Brammer, Lee; Rosseinsky, Matt; Yaliraki, Sophia; Champness, Neil; Roberts, Kevin; Buurma, Niek; Peacock, Anna
    The Directed Assembly Network, an EPSRC Grand Challenge Network, set out in 2010 to build a wide-reaching community of scientists, engineers and industrial members that includes: chemists, biologists, physicists, chemical engineers, mathematicians, and computer scientists, to name but a few. This Roadmap has been constructed by the Network community over years of consultations and continuous engagement through: themed meetings, sandpits, Network awards (proof of concept projects) and strategic meetings. In 2010, the Network was tasked to look 20-40 years into the future, and to capture, short, medium and long term goals. Over the 6 years since its inception the Network has grown to over 1,000 members and hosts several highly acclaimed meetings each year. Early career researchers are at the heart of the Network and benefit greatly from access to, and networking with our world-leading members, senior management team and Network Champions. The Network is now embedded into the culture of the UK landscape and continues to work at the leading edge. The vision of the Network is to be able to control the assembly of matter with sufficient certainty and precision to allow the preparation of materials and molecular assemblies, with far more sophisticated and tuneable properties and functions, than are accessible in materials synthesised using current methods. The UK position and World challenges are set out in this Roadmap to highlight the importance that new materials provide when it comes to solving the Grand Challenges of this century. Challenges include: the development of medicine and implants tailored to each individual; the creation of green alternatives to scarce resources; discovering new energy sources; capturing pollutants; enhancing both crop production & the provision of clean water and developing exciting innovations, such as smart materials, new catalysts, organic computing and high-temperature superconductors that will transform society. The Network has proven very successful in fostering this research, helping to maintain or propel the UK to the forefront of the research areas. £50 Million of subsequent grants are linked to and/or supported by the Directed Assembly Network. The science is set out across 5 overlapping themes in this Roadmap, which encompass directed assembly and disassembly, and the translation and scale-up of the research towards manufacturing. Some examples of the Network-funded proof of concept projects are highlighted, showing advances in the short term goals set out in the 2012 edition of the Roadmap. Areas for potentials calls or signposting, along with fundamental science topics for further development are discussed before structural recommendations are also made. Finally, conclusions and the Network Management team are presented.
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    A survey on smart automated computer-aided process planning (ACAPP) techniques
    (Springer, 2018-04-13) Al-wswasi, Mazin; Ivanov, Atanas; Makatsoris, Harris
    The 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.
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    Testing and Evaluation of Preference Marketplace Web Application
    (Cranfield University, 2017-03-15 09:51) Isaev, Samet; Moreno, Mariale; Makatsoris, Harris
    Preference 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.
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    Workshop Series Towards Preference Marketplace Development
    (Cranfield University, 2017-03-10 16:25) Isaev, Samet; Makatsoris, Harris; Green, Stephen; Ceschin, Fabrizio
    A 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.