Direct Modelling CAD Technology Comparative Review in Efficiency and Productivity for Product Development Process

2015 ◽  
Vol 786 ◽  
pp. 305-310 ◽  
Author(s):  
Mohd Qadafie Ibrahim ◽  
Nurulhalim Hassim ◽  
Ahmad Anas Yusof ◽  
Siti Zulaikha Abdul Mutalib
Keyword(s):  
Product Development ◽  
Design Process ◽  
Development Process ◽  
Product Development Process ◽  
Parametric Modelling ◽  
Mouse Button ◽  
Comparative Review ◽  
Product Design Process ◽  
Model Geometry ◽  
Efficiency And Productivity

Direct modelling is a new CAD technology that enables model geometry construction by pushing, pulling or twisting which emphasis to solve the constraint issues made by the current technology. Ideally it is more efficient and productive in accomplishing a part of product design process. This study is about comparing productivity and efficiency of both modelling by mean of counting mouse button clicks as representing speed for accomplishing the task. Parametric modelling is set as the benchmark. The review also taking into account several qualitative aspects during the process. Accordingly, direct modelling is proven better from the parametric modelling for this scenario.

From Customer Requirements to Detailed Design: How Do Product Data Change?

2018 ◽  
Author(s):  
Marco Rossoni ◽  
Giorgio Colombo ◽  
Luca Bergonzi
Keyword(s):  
Product Development ◽  
Product Design ◽  
Design Process ◽  
Development Process ◽  
Digital Data ◽  
Product Development Process ◽  
Product Data ◽  
Virtual Tools ◽  
Current Trends ◽  
Product Design Process

Current trends in product development process highlight the increasing adoption of digital data and virtual processes. Nowadays, a huge amount of product data are collected without a clear management strategy and, oftentimes, they dont even cover the whole product development process. A global and integrated planning about information needed to sustain product design process is not a trivial task and, usually, companies underrates this issue. From the perspective of virtualization of processes, and then their automation, the lack of structured knowledge is certainly awful. This paper aims at making a critical analysis how product data evolve throughout the product design or configuration process and how they impact the product development activities. Efficient digital product twin allows companies to virtualize processes and leverage their automation, but it is important to understand how the knowledge management should be carried out. Three case studies, directly experienced by the authors, have been investigated analyzing digital data and virtual tools that allow companies to automate the design process, each one bringing a peculiar perspective of the problem.

Leadership in the Product Development Process

2015 ◽  
Vol 23 (1) ◽  
pp. 26-30
Author(s):  
Hugh E. McLoone
Keyword(s):  
Product Development ◽  
Product Design ◽  
Design Process ◽  
Development Process ◽  
New Products ◽  
Product Development Process ◽  
New Concepts ◽  
Evaluative Process ◽  
Product Design Process ◽  
The Right

Creativity can be viewed as a chaotic or unplanned activity. The product design process often may seem like chaos as well, but this is not inevitable. Designers and human factors/ergonomics (HF/E) professionals follow a clear design process with phases, levels, and methods for creation of successful new products. Research methods are offered at the right time during this process to generate new concepts and to evaluate designs. We work together to create innovative, valued, and successful products via a generative, iterative, evaluative process.

Experience Design Applied to Research

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Andrea CAPRA ◽  
Ana BERGER ◽  
Daniela SZABLUK ◽  
Manuela OLIVEIRA
Keyword(s):  
Information Technology ◽  
Product Development ◽  
Design Process ◽  
Development Process ◽  
Product Development Process ◽  
Experience Design ◽  
Low Resolution ◽  
Design Concepts ◽  
Innovative Products ◽  
Technological Products

An accurate understanding of users' needs is essential for the development of innovative products. This article presents an exploratory method of user centered research in the context of the design process of technological products, conceived from the demands of a large information technology company. The method is oriented - but not restricted - to the initial stages of the product development process, and uses low-resolution prototypes and simulations of interactions, allowing users to imagine themselves in a future context through fictitious environments and scenarios in the ambit of ideation. The method is effective in identifying the requirements of the experience related to the product’s usage and allows rapid iteration on existing assumptions and greater exploration of design concepts that emerge throughout the investigation.

System Design Analytics with Low-Fidelity Models

2021 ◽  
pp. 359-385
Author(s):  
Asko Ellman ◽  
Petter Krus
Keyword(s):  
Product Development ◽  
System Design ◽  
Design Process ◽  
Development Process ◽  
Product Development Process ◽  
Customer Requirements ◽  
Iterative Design

Establishing product requirements for the customer is usually the first step in the product development process. Indeed, identifying and fulfilling customer requirements is the key for successful product development. However, satisfying all the customer requirements is not always possible. Therefore, the best design is the design that fulfils a set of the most important customer requirements. Due to this, design process needs to be agile and iterative. Design and its requirements need to be effectively iterated.

A Machine Learning Framework for Decision Support in Design and Manufacturing

2021 ◽  
pp. 479-498
Author(s):  
Aditya Balu ◽  
Sambit Ghadai ◽  
Gavin Young ◽  
Soumik Sarkar ◽  
Adarsh Krishnamurthy
Keyword(s):  
Product Development ◽  
Computer Aided Design ◽  
Iterative Process ◽  
Development Process ◽  
Product Development Process ◽  
Design Environment ◽  
Learning Framework ◽  
Design And Manufacturing ◽  
Product Design Process ◽  
Aided Design

The widespread adoption of computer-aided design (CAD) and manufacturing (CAM) tools has resulted in the acceleration of the product development process, reducing the time taken to design a product [46]. However, the product development process, for the most part, is still decentralized with the design and manufacturing reviews being performed independently, leading to differences between as-designed and as-manufactured component. A successful product needs to meet its specifications, while also being manufacturable. In general, the design engineer ensures that the product is able to function according to the specified requirements, while the manufacturing engineer gives feedback to the design engineer about its manufacturability. This iterative process is often time consuming, leading to longer product development times and higher costs. Recent researches in integrating design and manufacturing [24, 28, 46] have tried to reduce these differences and making the product development process easier and accessible to designers, who may not be manufacturing experts. In addition, there have been different efforts to enable a collaborative product development process and reduce the number of design iterations [8, 10, 41]. However, with the increase in complexity of designs, integrating the manufacturability analysis within the design environment provides an ideal solution to improve the product design process.

Autogenetic Design Theory: A Contribution to an Extended Design Theory

2000 ◽  
Author(s):  
Sándor Vajna ◽  
Tibor Bercsey ◽  
Steffen Clement ◽  
Peter Mack
Keyword(s):  
Product Development ◽  
Evolutionary Algorithm ◽  
Design Process ◽  
Design Theory ◽  
Development Process ◽  
Product Development Process ◽  
Design Activity ◽  
New Approach ◽  
Development Models ◽  
Design Theories

Abstract Based on an analysis of the product development process and the study of relevant product development models, the paper presents a new approach aiming at modeling and supporting the design activity as the substantial activity within the product development process. The Autogenetic Design Theory is an approach advancing general design theories. It facilitates the integration of intuition, creativity and artificial intelligence into the conventional design process. To this end, a phase-like allocation of the design process is assumed as the essential structure and an evolutionary algorithm is integrated as the core facilitating purposeful searching and combining. Hence, the flow of the design process can be influenced as all requirements can be included and, on the other hand, intuition and creativity are ensured through the evolutionary algorithm.

A Discrete Differential Evolution Algorithm for Product Development Scheduling

2012 ◽  
Author(s):  
Sarayut Nonsiri ◽  
Eric Coatanea ◽  
Mohamed Bakhouya
Keyword(s):  
Product Development ◽  
Differential Evolution ◽  
Design Process ◽  
Development Process ◽  
Research Work ◽  
Differential Evolution Algorithm ◽  
Product Development Process ◽  
Effective Manner ◽  
Design Activities ◽  
Discrete Differential Evolution

The scheduling of the design activities in product development process is a crucial step in early stages in order to achieve the project in time and cost-effective manner. In complex product development process, many dependency relationships or feedback loop could exist between design activities with multiple technical domains. Sequencing the design activities is a decision making process in order to reduce these feedback loops, and therefore, reduce amount of required information flows between activities. In recent years, methods for sequencing the design activities in design process have been proposed in order to reduce lead-time development and cost. The purpose of this research work is to present a methodology for design process sequencing in product development project by using Design Structure Matrix (DSM) for visualization a complex process and Discrete Differential Evolution (DDE) for sequencing the design tasks. The tests performed in this article have shown that this approach provides very competitive results in term of the quality of obtained solutions when compared to Genetic algorithms (GA). In additional it is a simple, effective and easy to use since the amount of control parameters to set is reduced.

Benchmarking Within the Product Development Process

1995 ◽  
Author(s):  
David G. Meeker ◽  
Anna C. Thornton
Keyword(s):  
Product Development ◽  
Design Process ◽  
Development Process ◽  
Rich Source ◽  
Product Development Process ◽  
Design Information ◽  
Detail Design ◽  
Market Trends ◽  
Design Solutions ◽  
Novel Design

Abstract One cannot design in a vacuum; the goodness of a product is almost always (except in the case of a novel design) measured with respect to an existing design. It is logical, therefore, to have a design process that takes competitors into account. Competitor’s hardware is a rich source of design information providing concept and design solutions, current market trends, cost and quality drivers, missing functionality and unwanted functionality. This paper presents a methodology to systematically evaluate existing designs using a process called benchmarking. In addition, a methodology for incorporating the benchmark information into the specification, concept, embodiment, detail design phases of the product development process is described.

A New Strategy for Automating the Generation of Product Family Members and Artifacts Applied to an Aerospace Application

2003 ◽  
Author(s):  
Gregory M. Roach ◽  
Jordan J. Cox ◽  
Jared M. Young
Keyword(s):  
Product Development ◽  
Product Design ◽  
Development Strategy ◽  
New Product Development ◽  
Design Process ◽  
Cycle Time ◽  
Development Process ◽  
Parametric Models ◽  
Product Development Process ◽  
New Strategy

A major challenge in industry today is to reduce the cost and cycle time in product development while maintaining enough flexibility to adapt to changing markets. Businesses are requiring more and more flexibility in order to produce custom goods at low cost. A new strategy called the Product Design Generator is presented to provide flexible product platforms through an automated design process where product variation is built into the product development process and is achieved through scalable and in some instances modular parametric models for a given product platform embodiment. A case study of web-based Product Design Generator is presented. The axial turbine disk Product Design Generator demonstrated cycle time reduction from 500 man hours to 15 minutes. This new product development strategy has demonstrated the potential to provide engineers the ability to study more potential design solutions, reduce the number of opportunities to introduce error in the product development process, and allows companies to apply a consistent design process across the organization.

An Information Theoretical Perspective on Design Optimization

2004 ◽  
Author(s):  
Petter Krus ◽  
Johan Andersson
Keyword(s):  
Product Development ◽  
Design Optimization ◽  
Design Process ◽  
Theoretical Approach ◽  
Development Process ◽  
Theoretical Perspective ◽  
Optimization Method ◽  
Performance Criterion ◽  
Product Development Process ◽  
Holistic View

Design optimization is becoming and increasingly important tool for design. In order to have an impact on the product development process it must permeate all levels of the design in such a way that a holistic view is maintained through all stages of the design. The design process can be viewed as a process of increasing the information of the finished product. Design optimization is on one hand a part of the design process, but can also be used as a metaphor for the whole design process. In this paper an information theoretical approach is taken to establish a performance criterion for an optimization method. Furthermore, this approach is extended do describe the design process.

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