• Title/Summary/Keyword: Engineering Product Design

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Users Involvement in New Product Development Process: A Designers' Perspectives

  • Taha, Zahari;Alli, Hassan;Rashid, Salwa Hanim Abdul
    • Industrial Engineering and Management Systems
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    • v.10 no.3
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    • pp.191-196
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    • 2011
  • The purpose of this paper is to study user's involvement in new product development (NPD). It seeks to identify the factors involving user and design practices in the design process of new product development. A survey was conducted on 20 respondents consisting of designers involved in product development from various industries. The study focused on the early activities of the product design process which is called product specification. The analysis performed considers the importance of involving users in design decision. The outcome of this research is the significance of involving users and its effect on product development activities. The research also provides a model for an integrated user, designer and product knowledge activity in the product development process.

A Design Process Analysis with the DSM and the QFD in Automatic Transmission Lever Design (DSM과 QFD 분석을 이용한 오토레버 설계 과정의 분석)

  • 천준원;박지형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.9-12
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    • 2003
  • This paper describes a step-by-step method to minimize design iterations in a process of product design change. In the design process, two components are coupled if a change of a component can require the other components change, and design iterations are generated by the coupling. The design iteration is one of main factors that increase design effort. In this study, three matrices are used to solve the design iteration of automatic transmission lever, Requirement-Engineering matrix, Engineering-Components matrix, and DSM(Design Structure Matrix). Firstly, with the DSM, the product architecture and conceptual design process are proposed from product function analysis. Secondly, with the QFD, the Requirement-Engineering matrix and Engineering-Components matrix present the relationship among customer requirements, engineering issues, and product components. Lastly, the results of the QFD analysis are used in the DSM to solve the component interactions and to provide design

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An Overall Product Design Process Using Robust Design and Analytic Hierarchy Process (AHP)

  • Nguyen, Nhu-Van;Azamatov, Adulaziz;Tran, Si Bui Quang;Choi, Seok-Min;Lee, Jae-Woo;Byun, Yung-Hwan
    • Journal of the Korean Society of Systems Engineering
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    • v.3 no.2
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    • pp.39-48
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    • 2007
  • In this study, an overall product design process will be presented by using the Analytic Hierarchy Process(AHP) and robust design. From the conceptual design stage, the logical methods are used to select the appropriate concepts satisfying the customer requirements and the other conditions. The next phase is the embodiment design phase in which the deterministic and robust design approach are used to obtain the improvement in product design. Typically, this approach is applied for developing the simple bookshelf design. The results show the efficient approach which can be supported to develop the new product.

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An Extension of Product Data Model for Calculating Product-level Carbon Footprint (제품수준 탄소배출이력 계산을 위한 제품자료모델 확장)

  • Do, Nam-Chui
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.4
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    • pp.268-276
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    • 2011
  • The product-level carbon footprint (PCF) is a comprehensive and widely accepted metric for sustainable product development. However, since a full PCF study in general is time and cost intensive, it is not feasible for the product development team to synchronize the activity to the main product development process. In addition, the current dedicated life cycle assessment (LCA) tools for calculating PCF, separated from the main product data management systems, have limitations to provide timely PCF information for design decision makings and collaborations between design and environment engineers. This paper examines the possibility of the extension of the current product data model that can support the PCF calculation with PDM (Product Data Management) databases. The product data model can represent not only the content of products but also context or system information of the products. The product data model can be implemented as a PDM database that can satisfy the needs for handy and timely PCF calculations from the consistent product data for dynamic design decision makings and engineering collaborations.

A New Product Development Using Robust Design and Decision Making Process

  • Lin, Than;Doan, Trieu An;Vu, Ngoc Anh;Cho, Guk-Hyun;Lee, Jae-Woo;Byun, Yung-Hwan
    • Journal of the Korean Society of Systems Engineering
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    • v.3 no.1
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    • pp.41-48
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    • 2007
  • This paper presents a design methodology for developing a new push scooter. A case study is clone with effective planning processes to ensure the product quality under the different phases of a product design process. Parametric model based design process simulation and optimization is implemented by using ANSYS application tool. The relationship matrix and decision matrix are drawn by using several methods. The simulation results for deterministic design and robust design are compared. This entire design process phase can support the design and quality improvements for a new product development.

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A Method for Evaluating Product Degradation Status Using Product Usage Data (제품 사용데이터를 활용한 제품 열화상태 평가 방안에 대한 연구)

  • Shin, Jongho;Jun, Hongbae;Cattaneo, Cedric;Kiritsis, Dimitris;Xirouchakis, Paul
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.1
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    • pp.36-48
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    • 2013
  • In general, the product is used under several circumstances including environmental and usage conditions. According to the circumstances, the product has various performance degradation processes. In order to optimize the lifecycle of product usage, it is important to observe the degradation process and make suitable decisions on product operations. However, there are not much research works in evaluating the degree of product degradation based on product usage data. Recently, due to emerging ICT (Information and Communication Technology) technologies, it becomes possible to get the product usage data. Based on the gathered data, it is possible to analyze the degree of product degradation. The analysis of product usage data can improve product use and product design with advanced decisions. To this end, this study addresses one approach based on FMEA/FMECA method, called PDMCA (Performance, Degradation Modes and Criticality Analysis) for evaluating product degradation status and making suitable decisions.

A Collaborative Engineering Based System Supporting Product Development Process (협업공학 기반의 제품개발 지원 시스템)

  • Park H. S.;Choi H. W.;Lee G. B.
    • Korean Journal of Computational Design and Engineering
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    • v.9 no.4
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    • pp.387-396
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    • 2004
  • In order to keep and increase a competitive potential, industrial enterprises have to reduce their costs for product development as well as shorten lead time in product development processes. Moreover they have to respond to market factors and conditions such as increasing demands for functionality and individuality of products, short product life cycles, high pressure on prices and time to market. The improved functional requirement in connection with high time and cost pressure lead to high risk in product development. Technological fine improvements in connection with high time and cost pressure lead to high development risk. To cope with these challenges many enterprises have to collaborate globally. The collaborative engineering in product development is aimed to create distributed collaborative corporations and to facilitate the management of design conflicts. This paper provides a methodology for analyzing collaborative design process as well as the tools and the framework to support collaborative product development. The methodology can identify the interdependences among design tasks and teams. The tools and framework are implemented to facilitate the management of product development process.

Product Family Design using Formal Concept Analysis and Ontology (정형적 개념 분석과 온톨로지를 활용한 제품계열 정보 설계)

  • Lee, Hee-Jung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.3
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    • pp.110-117
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    • 2012
  • A product family design has received much attention over the last several decades, since a product family-based development shortens lead-times and reduces cost, as well as increases efficiency and effectiveness of the product realization process. It is challenging work, however, to define the product family design in the heterogeneous product development environments, due to myriads of products related information described in different ways across products in any companies. In this paper, we provided a way of defining product family design framework using formal concept analysis and ontology language. Based on this, the specific product family can be derived by ontological reasoning, and the new product concept can be also expanded in the framework. The proposed framework is formalized using OWL (Web Ontology Language) and implemented in $Prot{\acute{e}}g{\acute{e}}$. Actual product family design algorithm is carried out using FaCT++ engine, a plug-in to $Prot{\acute{e}}g{\acute{e}}$, and the benefits of the proposed method are also demonstrated through a case study.

Product Data Model for Supporting Integrated Product, Process, and Service Design (제품, 공정, 서비스 통합 설계를 지원하는 제품자료모델)

  • Do, Nam-Chul
    • Journal of Korean Institute of Industrial Engineers
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    • v.38 no.2
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    • pp.98-106
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    • 2012
  • The current market preassure of least environmental effects of products needs companies to consider whole life cycle of their products during their design phase. To support the integrated and collaborative development of the products, this paper proposed product data model for extended Product Data Managemen (PDM) that can support integrated design of product, manufacturing process, and customer services, based on the consistent and comprehensive PDM databases. The product data model enables design, manufacturing, and service engineers to express their products and services efficiently, with sharing consistent product data, engineering changes, and both economical and environmental evaluations on their design alternatives. The product data model was implemented with a prototype PDM system, and validated through an example product. The result shows that the PDM based on the proposed product data model can support the integrated design for products, manufacturing process, and customer services, and provide an environment of collaborative product development for design, manufacturing and service engineers.

Development Concurrent Engineering : Product Design Evaluation

  • Cho, Moonsoo
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.373-376
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    • 1996
  • The design development, and production of a product is one of the greatest challenges which flexible manufacturing systems face today. No matter how a company refines and controls the manufacturing process, if the product is not properly designed, it will not operate correctly or performed well. Therefore the focus on quality of design must be balanced. One such strategy certain to address the managerial and manufacturing of the future is concurrent engineering. Concurrent engineering calls for the consideration and inclusion of product design attributes satisfying all the design constraints such as customer requirements. Furthermore, concurrent engineering has been recently promoted in many industries as a response to competitive marketing pressures. Viewed as a systematic approach of creating high quality products and bringing them to market at lower cost and in significantly less time, it also attracts the attention of quality designers. In this paperm a methodology and model for optimizing the product design, especially selection of optimal design alternative, is developed. The focus of this paper is on product design as the most critical activity of concurrent engineering. The model is based on the customer requirements for quality. Customer requirements for a certain product can be grouped based on the various design attributes. The design attributes have the priorities. The number of design functions. Design attributes value are calculated, however these values are applied to the optimization method. Numerical example will be illustrated.

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