2,717 research outputs found

    Modeling the Structure and Complexity of Engineering Routine Design Problems

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    This paper proposes a model to structure routine design problems as well as a model of its design complexity. The idea is that having a proper model of the structure of such problems enables understanding its complexity, and likewise, a proper understanding of its complexity enables the development of systematic approaches to solve them. The end goal is to develop computer systems capable of taking over routine design tasks based on generic and systematic solving approaches. It is proposed to structure routine design in three main states: problem class, problem instance, and problem solution. Design complexity is related to the degree of uncertainty in knowing how to move a design problem from one state to another. Axiomatic Design Theory is used as reference for understanding complexity in routine design

    Ten Years of CDIO Experiences Linked to Toy Design

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    Toys are deeply rooted to the natural learning process of children, as they investigate for themselves learning cause effect relationships and the relevance of boundary conditions, and to the development of their personality and social skills, as they observe and interact with other children and adults when playing. Learning through play, promoted by pioneers as Montessori, Piaget and Steiner, is among the most powerful teaching-learning strategies and currently forms part of high-quality curricula worldwide, mainly from early childhood to high school. Our experience shows that it can be also successfully applied to higher Education and that living through the complete engineering design process of real toys, following the CDIO scheme, is an excellent strategy for making engineering students face real industrial challenges while they design, dream, play and learn. A decade ago we started to set the foundations towards the European Area of Higher Education, which should promote active learning in contexts more linked to professional practice. To this end, several courses in our Industrial Engineering Degree began to incorporate project-based learning activities, although initially with a more limited scope than that of the integral CDIO approach, as fundamental part of the teaching-learning process. In our course on “Design and manufacturing with polymers” we opted for including capstone collaborative projects linked to designing real plastic products and the related massproduction tools. We decide to propose students to design toys and the related injection molds, which constitute great examples of complex engineering systems, using state-of-theart industrial methodologies and resources. The topic of “toy design” has proven to be motivating for students and teachers and has helped us to re-invent the course in every edition. Our course has served as application example of the benefits of student-centered teaching-learning strategies at ETSII-UPM along the implementation of the “Bologna process”, which has culminated with the beginning of the Master’s Degree in Industrial Engineering, a programme that devotes more than a 20% of activities to project-based learning following the CDIO standards, in which the detailed course continues as part of the Mechanical Engineering major. Here we present a summary of the course evolution during the last decade and analyze its main teaching-learning results. To our knowledge, this “complete toy design experience” constitutes one of the first integral applications of the CDIO methodology to the field of Industrial Engineering in our country and stands out for ten years of continuous improvements. Around 500 students have taken part in these projects from our “Design and manufacturing with polymers” course at ETSII-UPM and more than 200 real toys, together with the related injection molding mass-production tools, have been designed during the last ten years. The most outstanding designs have been manufactured and tested every year for letting students live the whole CDIO cycl

    Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive

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    Digitization and data-driven manufacturing process is needed for today's industry. The term Industry 4.0 stands for today industrial digitization which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer's high-quality expectations. However, due to the increase in the number of connected devices and the variety of data, it has become difficult to store and analyze data with conventional systems. The motivation of this paper is to provide an overview of the understanding of the big data pipeline, providing a real-time on-premise data acquisition, data compression, data storage and processing with Apache Kafka and Apache Spark implementation on Apache Ha-doop cluster, and identifying the challenges and issues occurring with implementation the Farplas manufacturing company, which is one of the biggest Tier 1 automotive supplier in Turkey, to study the new trends and streams related to topics via Industry 4.0.Comment: 8 page

    Promoting Innovation in Albania

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    This project, based in Tirana, Albania, aims to promote innovation through the creation of a makerspace community, a space where people with creative ideas for new products can find the tools to develop them. A makerspace provides its members with resources such as prototyping tools, and a collaborative working atmosphere. This is much needed in Albania, since we found that students there often mention a lack of hands-on experience in their education. We worked with our local sponsor, Protik ICT Resource Center, to establish the makerspace and to plan future projects. We developed recommendations based on our work mentoring students in the Young Innovators Club and participating in Startup Weekend Tirana

    Sustainability Benefits Analysis of CyberManufacturing Systems

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    Confronted with growing sustainability awareness, mounting environmental pressure, meeting modern customers’ demand and the need to develop stronger market competitiveness, the manufacturing industry is striving to address sustainability-related issues in manufacturing. A new manufacturing system called CyberManufacturing System (CMS) has a great potential in addressing sustainability issues by handling manufacturing tasks differently and better than traditional manufacturing systems. CMS is an advanced manufacturing system where physical components are fully integrated and seamlessly networked with computational processes. The recent developments in Internet of Things, Cloud Computing, Fog Computing, Service-Oriented Technologies, etc., all contribute to the development of CMS. Under the context of this new manufacturing paradigm, every manufacturing resource or capability is digitized, registered and shared with all the networked users and stakeholders directly or through the Internet. CMS infrastructure enables intelligent behaviors of manufacturing components and systems such as self-monitoring, self-awareness, self-prediction, self-optimization, self-configuration, self-scalability, self-remediating and self-reusing. Sustainability benefits of CMS are generally mentioned in the existing researches. However, the existing sustainability studies of CMS focus a narrow scope of CMS (e.g., standalone machines and specific industrial domains) or partial aspects of sustainability analysis (e.g., solely from energy consumption or material consumption perspectives), and thus no research has comprehensively addressed the sustainability analysis of CMS. The proposed research intends to address these gaps by developing a comprehensive definition, architecture, functionality study of CMS for sustainability benefits analysis. A sustainability assessment framework based on Distance-to-Target methodology is developed to comprehensively and objectively evaluate manufacturing systems’ sustainability performance. Three practical cases are captured as examples for instantiating all CMS functions and analyzing the advancements of CMS in addressing concrete sustainability issues. As a result, CMS has proven to deliver substantial sustainability benefits in terms of (i) the increment of productivity, production quality, profitability & facility utilization and (ii) the reduction in Working-In-Process (WIP) inventory level & material consumption compared with the alternative traditional manufacturing system paradigms

    Reference Architecture for Collaborative Design

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    Issues and themes of Collaborative Design (CD) addressed by research done so far are so extensive that when running a project of collaborative design, people may lack directions or guidelines to support the whole picture. Hence, developing reference architecture for CD is important and necessary in the academic and the empirical fields. Reference architecture provides the systematic, elementary skeleton and can be extended and adapted to diverse, changing environments. It also provides a comprehensive framework and enables practices implemented more thoroughly and easily. The reference architecture developed in this re-search is formed along three dimensions: decision aspect, design stage, and collaboration scope. There are five elements in the dimension of decision aspect: (1) participant, (2) product, (3) process, (4) organization, and (5) information. The dimension of design stage includes three stages: (1) planning and concepting, (2) system-level design and detail design, and (3) testing and prototyping. The dimension of collaboration scope includes three types of collaboration: (1) cross-functional, (2) cross-company, and (3) cross-industry. Because of the three reference dimensions, a cubic architecture is developed. The cubic reference architecture helps decision-makers in dealing with implementing a CD project or activity. It also serves as a guideline for CD system developers or people involved in the design collaboration to figure out their own responsibility functions and their relations with other members. Demonstration of how to use the reference architecture in developing design collaboration activities and specifying the details for cross-company CD is also provided in this research

    Collaboration in distributed injection mold design: Process analysis and system implementation

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    Master'sMASTER OF ENGINEERIN
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