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Search results for: SMART INNOVATION ENGINEERING PRODUCT INNOVATION PRODUCT DESIGN SET OF EXPERIENCE DECISIONAL DNA
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Smart Innovation Engineering Using Set of Experience and Decisional DNA
PublicationKnowledge-based Engineering Systems are founded upon integration of knowledge into computer systems and are one of the core requirements for the future Industry 4.0. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Knowledge Engineering plays an important role in manufacturing industries facing...
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Enhancing Product Innovation Through Smart Innovation Engineering System
PublicationThis paper illustrates the idea of Smart Innovation Engineering (SIE) System that helps in carrying the process of product innovation. The SIE system collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the set of similar products having some common functions and features. Due to the fact that SIE system collects, captures and reuses the experiential knowledge of all...
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Smart Innovation Engineering (SIE): Experience-Based Product Innovation System for Industry 4.0
PublicationThis paper presents a semi-automatic system capable of facilitating product innovation process. This system, known as Smart Innovation Engineering (SIE) system, helps in decision-making by using the explicit knowledge of formal decision events. The SIE system carries the promise to support the innovation processes of manufactured products in a quick and efficient way. It stores and reuses the past decisional events or sets of experiences...
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Framework for Product Innovation Using SOEKS and Decisional DNA
PublicationProduct innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA. The present paper proposes a framework for...
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Experience based decisional DNA to support smart product design
PublicationThis paper presents the idea of Smart Virtual Product Development (SVPD) system to support product design. The foundations of the system are based upon smart knowledge management techniques called Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product development process by using the previous experiential knowledge gathered from the formal decisional activities. This experiential...
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Smart Innovation Engineering System - A Tool for Facilitating Product Innovation Process
PublicationFor the survival and prosperity of the manufacturing unit, entrepreneurs need to find out new ideas that can be implemented in the products leading to innovation. The current study employs a systematic approach for product innovation. In this approach past experiences based on innovation decisions are stored and recalled during the innovation problem solving process. Implementing this system in the process of product innovation...
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Toward Smart Innovation Engineering: Decisional DNA-Based Conceptual Approach
PublicationABSTRACT Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach for product innovation support using a Smart Knowledge Management System comprising a Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This proposed system is dynamic in nature because it updates itself every time a new decision related to innovation is made. Through this...
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Smart Innovation Management in Product Life Cycle
PublicationThe present paper proposes a framework for smart innovation management of the product using a Smart Knowledge Management System comprising Set of Experience Knowledge Structure (SOEKS) and Decisional DNA. This proposed system will allow the entrepreneurs and organizations to perform the innovation process technically and quickly as this framework will store knowledge as well as experiences of the past innovations done in various...
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Experience Based Decisional DNA (DDNA) to Support Sustainable Product Design
PublicationThis paper presents the idea of providing engineering design knowledge to designers working on sustainable product design and development process. The new product development process often requires significant amount of design knowledge which can be saved and recalled by designers during the design process. This knowledge is very important for successful sustainable product development as it can include material selection, product...
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A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem
PublicationIn this paper we present the idea of Smart Innovation Engineering (SIE) System and its implementation methodology. The SIE system is semi-automatic system that helps in carrying the process of product innovation. It collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the group of similar products having some common functions and features. The SIE system behaves like...
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Smart innovation process enhancement using SOEKS and decisional DNA
PublicationProduct innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA (DDNA). The present paper proposes...
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Modular Experience-Based Smart Innovation Engineering System
PublicationThe current paper presents the systematic approach for supporting the product innovation process of manufactured products. The proposed system uses a collective, team-like knowledge developed by innovation related experiences of the formal decisional events. The proposed system for smart innovation engineering carries the promise to support the innovation processes in a quick and efficient way. It stores the past decisional events...
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Experience-Based Decisional DNA (DDNA) to Support Product Development
PublicationKnowledge and experience are important requirements for product development. The aim of this paper is to propose a systematic approach for industrial product development. This approach uses smart knowledge management system comprising of Set of Experience Knowledge Structure and Decisional DNA (DDNA) along with Virtual Engineering Tools (Virtual engineering object, Virtual engineering process, and Virtual engineering factory)....
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Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA
PublicationIn this paper, we propose a framework to support product development activi-ties by utilizing Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This idea will provide a new direction to researchers working on product development, especially designers and manufacturers. They will be working on the same platform and this will be reducing their communication gap. Once the final idea is perceived about product...
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Smart Innovation Engineering: Toward Intelligent Industries of the Future
PublicationKnowledge-based Engineering Systems are founded upon integration of knowledge into computer systems and are one of the core requirements for the future Industry 4.0. This paper presents a system called Smart Innovation Engineering (SIE) capable of facilitating product innovation process semi-automatically. It enhances decision-making processes by using the explicit knowledge of formal decision events. The SIE system carries the...
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Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0
PublicationThis paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of this research is to assist a collaborative product development process by using Smart Virtual Product Development (SVPD) system, which is based on Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). The proposed system is developed...
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Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing
PublicationThis paper illustrates the concept of providing the manufacturing knowledge during early stages of product life cycle to experts working on product development. The aim of this research is to enable a more collaborative product development environment by using Smart Virtual Product Development (SVPD) system, which is powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product...
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Enhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0
PublicationABSTRACT This paper proposes the Smart Virtual Product Development (SVPD) system, which enhances the industrial product manufacturing processes. The proposed system comprises of three main modules: design knowledge management (DKM), manufacturing capability analysis and process planning (MCAPP), and product inspection planning (PIP). Smart virtual product development system collects, stores, and uses experiential knowledge from...
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Using Decisional DNA to Enhance Industrial and Manufacturing Design: Conceptual Approach
PublicationDuring recent years, manufacturing organizations are facing market changes such as the need for short product life cycles, technological advancement, intense pressure from competitors and the continuous customers’ expectation for high quality products at lower costs. In this scenario, knowledge and its associated engineering/management of every stage involved in the industrial design has become increasingly important for manufacturing...
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Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory
PublicationEngineering collective intelligence is paramount in current industrial times. This research proposes and presents case studies for collective knowledge structures required in the industry field. Knowledge structures such as Set of Experience and Decisional DNA are extended into more advanced knowledge structures for manufacturing processes. These structures are called Virtual Engineering Object, Virtual Engineering Process and...
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Lucyna Nyka prof. dr hab. inż. arch.
PeopleLucyna Nyka (Ph.D., D.Sc., Prof.) is a Professor at the Faculty of Architecture, Gdańsk University of Technology, in 2008-2016 a Vice-Dean for Research, and since 2016 – Dean of the Faculty of Architecture. Her research interests focus on issues concerning water-related architecture and urban landscapes. She is the author and co-author of many projects focused on urban renewal. She was an author of the EU-founded (Audiovisual...
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Anna Lis dr hab. inż.
PeopleAnna Lis has been the head of the Department of Management in Industry, Faculty of Economics and Management GUT since 2019. In 2005 she obtained Ph.D. degree in the field of Economic Sciences, in the discipline Management Sciences, 2019 – the degree of habilitated doctor in the field of Social Sciences, in the discipline of Management and Quality Studies. In the years 2004-2009 she was employed at the Faculty of Production Engineering...
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Dorota Dominika Kamrowska-Załuska dr hab. inż. arch.
PeopleProf. Dorota Kamrowska-Zaluska, architect and urban planner, Associate Professor and Director of mid-career program on Urban development and management of metropolitan areas, at the Department of Urban Design and Regional Planning at Faculty of Architecture, Gdansk University of Technology; Visiting Scholar and Research Fellow at several research institutions incl. Massachusetts Institute of Technology (2013), Charted Urban Planner...
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Are you a Strategic Thinker? Summer 21/22 - Nowy
e-Learning CoursesThe course explores strategic management choices along with the role of innovation in creating sustainable competitive advantage. It introduces frameworks and tools of strategic management (e.g. how to analyze organizations in their industry context and how to design and execute a coherent strategy). Concepts such as value creation, product diversification, clustering and open innovation will be explored to understand how entrepreneurs...
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Are you a Strategic Thinker? Summer 22/23
e-Learning CoursesThe course explores strategic management choices along with the role of innovation in creating sustainable competitive advantage. It introduces frameworks and tools of strategic management (e.g. how to analyze organizations in their industry context and how to design and execute a coherent strategy). Concepts such as value creation, product diversification, clustering and open innovation will be explored to understand how entrepreneurs...
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Are you a Strategic Thinker? WINTER 23/24
e-Learning CoursesThe course explores strategic management choices along with the role of innovation in creating sustainable competitive advantage. It introduces frameworks and tools of strategic management (e.g. how to analyze organizations in their industry context and how to design and execute a coherent strategy). Concepts such as value creation, product diversification, clustering and open innovation will be explored to understand how entrepreneurs...
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Are you a Strategic Thinker? WINTER 24
e-Learning CoursesThe course explores strategic management choices along with the role of innovation in creating sustainable competitive advantage. It introduces frameworks and tools of strategic management (e.g. how to analyze organizations in their industry context and how to design and execute a coherent strategy). Concepts such as value creation, product diversification, clustering and open innovation will be explored to understand how entrepreneurs...
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Are you a Strategic Thinker? SUMMER 23/24
e-Learning CoursesThe course explores strategic management choices along with the role of innovation in creating sustainable competitive advantage. It introduces frameworks and tools of strategic management (e.g. how to analyze organizations in their industry context and how to design and execute a coherent strategy). Concepts such as value creation, product diversification, clustering and open innovation will be explored to understand how entrepreneurs...
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Dariusz Dąbrowski dr hab. inż.
PeopleDariusz Dąbrowski graduated from the Faculty of Shipbuilding at Gdańsk University of Technology and in 1987 began working at the university as an assistant in the Department of Shipbuilding Industry Organization within the then Institute of Organization and Design of Production Systems. In 1990, he went on a TEMPUS scholarship from the EU and spent 14 months at the University of Sheffield, where he participated in the Master of...
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Arsalan Muhammad Soomar Doctoral Student
PeopleHi, I'm Arsalan Muhammad Soomar, an Electrical Engineer. I received my Master's and Bachelor's Degree in the field of Electrical Engineering from Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan. Currently enrolled as a Doctoral student at the Gdansk University of Technology, Gdansk, Poland. Also worked in Yellowlite. INC, Ohio as a Solar Design Engineer. HEADLINE Currently Enrolled as a Doctoral...
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Embedded system using Bluetooth Low Energy sensors for smart farming applications
PublicationThe main goal of this Bachelor of Engineering project titled Embedded system using Bluetooth Low Energy sensors for smart farming applications is to create a prototype of a system consistent with Agriculture 4.0 concept using Bluetooth Low Energy (BLE) technology. Developed solution shall be easy in implementation and its main functionality shall be periodic gathering of data from environmental sensors...
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Towards Experience-Based Smart Product Design for Industry 4.0
PublicationThis paper presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development process. It enhances the decision making process during different stages and activities involved in product development i.e. product design, manufacturing, and its inspection planning. The enhancement is achieved by using the explicit knowledge of formal past decision events, which are captured,...
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Establishing intelligent enterprise through community of practice for product innovation
PublicationThis paper presents the idea of implementing the virtual Community of Practice for Product Innovation processes towards the establishment of intelligent enterprise. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Engineering plays an important role in manufacturing industries facing global...
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Community of Practice for Product Innovation Towards the Establishment of Industry 4.0
PublicationThe aim of this paper is to present the necessity of formulating the Community of Practice for Product Innovation process based on Cyber-Physical Production Systems towards the establishment of Industry 4.0. At this developing phase of Industry 4.0, there is a need to define a clear and more realistic approach for implementation process of Cyber-Physical Production Systems in manufacturing industries. Today Knowledge Management...
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Set of Experience and Decisional DNA: Experience-Based Knowledge Structures
PublicationThis chapter presents a description of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA), argumentation for a knowledge representation, composition, configuration and metrics. SOEKS is a combination of filtered and amalgamated information obtained from formal decision events. It facilitates effective explicit representation of decisional experience taken from different technologies. SOEKS comprises variables,...
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Smart Virtual Product Development (SVPD): Experience Based Product Development System for Industry 4.0
PublicationThis chapter presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development. It enhances the decision making process during various activities involved in product development i.e. product design, manufacturing, and inspection planning. This is achieved by using the explicit knowledge of past formal decision events, which are captured, stored, and recalled in the form...
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Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0
PublicationThis paper presents a system capable of enhancing product development process for industrial manufactured products. This system is known as Smart Virtual Product Development (SVPD), and it helps in decision making by using explicit knowledge of formal decision events. It stores and reuses the past decisional events or sets of experiences related to different activities involved in industrial product development process i.e. product...
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Set of Experience and Decisional DNA: Toward Brains for Cyber-physical Systems and Industry of the Future
PublicationThe concept of Decisional DNA is decade old. This article introduces the initial idea of Set of Experience Knowledge Structure, its advancement into Decisional DNA, and its potential for real life applications in divers domains. The most current and future research steps into Industry 4.0 are also presented and discussed
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Experience-Based Product Inspection Planning for Industry 4.0
PublicationIn this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected,...
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Smart experience engineering to support collaborative design problems based on constraints modelling
PublicationEngineering design is a knowledge intensive process. Experts' experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem. Different approaches have been used to support Collaborative and Concurrent Product Design, such as Constraint Satisfaction Problem (CSP) modelling. Additionally, due to the...
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Innovation by proxy – clusters as ecosystems facilitating open innovation
PublicationOpen innovation is a concept, whose attributes can be perceived as naturally complementing the proximity-based offer of clusters. The purpose of this paper is to investigate the potential role of clusters as intermediaries of open innovation for cluster members. A literature review and an exploratory study were performed, involving in-depth interviews with experts in the field of innovation and clusters in Poland. This article...
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Grzegorz Boczkaj dr hab. inż.
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Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA): Past, Present and Future
PublicationThis article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the concept of the knowledge representation technique of SOEKS-DDNA is discussed, and then an attempt is made to organize the past research related with it in chronological order. This work focuses on the review on SOEKS-DDNA, its application in different domains,...
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The Decisional DNA-Based Smart Bike for Internet of Things
PublicationIn this paper, we introduce a novel application of the Internet of Things, the Decisional DNAbased Smart Bike. The Decisional DNA is a domain-independent, flexible and standard knowledge representation structure; it allows its domains to acquire and store experiential knowledge and formal decision events in an explicit way. By using Decisional DNA, the sensor-equipped bicycle is able to learn its user’s weight, riding habits, etc....
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Emplying set of experience knowledge structure and decisional DNA to enhance industrial design: conceptual approach
PublicationZaprezentowano koncepcje wspomagania projektowania przemyslowego przy pomocy nowoczenego podejscia do reprezentacji wiedzy w postaci SOEKS oraz Decyzyjnego DNA
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Decisional-DNA Based Smart Production Performance Analysis Model
Publicationn order to allocate resources effectively according to the production plan and to reduce disturbances, a framework for smart production performance analysis is proposed in this article. Decisional DNA based knowledge models of engineering objects, processes and factory are developed within the proposed framework. These models are the virtual representation of manufacturing resources, and with help of Internet of Things, are capable...
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Decisional DNA based framework for representing Virtual Engineering Objects
PublicationIn this paper, we propose a frame-work to represent the Virtual Engineering Objects (VEO) utilizing Set of Knowledge Experience Structure (SOEKS) and Decisional DNA. A VEO will enable the discovery of new knowledge in a manufacturing unit and the generation of new rules that drive reasoning. The proposed VEO framework will not only be knowledge based representation but it will also have its associated experience embedded within...
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Implementing Virtual Engineering Objects (VEO) with the Set of Experience Knowledge Structure (SOEKS)
PublicationThis paper illustrates the idea of Virtual Engineering Object (VEO) powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). A VEO is the knowledge representation of an engineering object, having embodiment of all its associated knowledge and experience within it. Moreover, VEO is a specialization of Cyber-Physical System (CPS) in terms of that its extension in knowledge gathering and reuse, whereas CPS...
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Smart Virtual Product Development: Manufacturing Capability Analysis and Process Planning Module
PublicationSmart Virtual Product Development (SVPD) system provides effective use of information, knowledge, and experience in industry during the process of product development in Industry 4.0 scenario. This system comprises of three primary modules, each of which has been developed to cater to a need for digital knowledge capture for smart manufacturing in the areas of product design, production planning, and inspection planning. Manufacturing...
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Support interlinking of design and process planning by set of experience knowledge structure and decisional DNA: Conceprual Approach
PublicationKoncepcja wspomagania planowania procesow p-rzy pomocy SOEKS oraz Decyzjnego DNA.