A Concurrent Engineering Approach for Product Design Optimization

1998 ◽  
Vol 6 (2) ◽  
pp. 101-110 ◽  
Author(s):  
M.A. Seif
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Concurrent Engineering ◽  
Engineering Approach

Integrated Product Design Using Rapid Prototyping Technology and Rapid Tooling in Concurrent Engineering Approach

2004 ◽  
Vol 471-472 ◽  
pp. 672-676 ◽  
Author(s):  
A.K. Das
Keyword(s):  
Product Development ◽  
Rapid Prototyping ◽  
Product Design ◽  
Concurrent Engineering ◽  
Virtual Prototyping ◽  
Parametric Modeling ◽  
Physical Models ◽  
Product Development Process ◽  
Analytical Models ◽  
Engineering Approach

Advancement and acceptance of Concurrent Engineering to speed up and improve product development process requires a systematic approach to the integrated, simultaneous design of products and their related processes, including manufacture and support [1] and Rapid Prototyping [2] is the one versatile tool that meet this requirement. Rapid Prototyping involves virtual prototyping and provides physical models as an end product. Traditionally initial industrial design concepts are shown as renderings or drawings, that show the look and feel of the product. The construction of mock up is followed after selection of a particular concept and these looks exactly like final product in true form, colour, texture etc. but without working internal components. With the advancement of CAD, 2 types of prototyping are in use in product design for modeling and simulating products performances. (a) Virtual prototyping using Analytical models (b) Physical prototyping making physical models These choices are influenced by variety of reasons. Physical prototypes are used for Communication purpose, Demonstration purpose, Scheduling /milestones, Feasibility study, Parametric modeling and Architectural interfacing. The above uses lead to a number of benefits such as insights into manufacturability and assemblability, accelerating of parallel activities and flexible product choices. In this paper, we are concerned from the point of view of an industrial designer for Integrated Product Development using concurrent engineering approach. Thus this paper highlights the benefits of Rapid Prototyping over conventional prototyping methods.

Study on Mix-Variable Collaborative Design Optimization

2012 ◽  
Vol 215-216 ◽  
pp. 592-596
Author(s):  
Li Gao ◽  
Rong Rong Wang
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimization Algorithm ◽  
Collaborative Design ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Collaborative Optimization ◽  
Continuous Variables ◽  
Complex Product ◽  
Divide And Rule

In order to deal with complex product design optimization problems with both discrete and continuous variables, mix-variable collaborative design optimization algorithm is put forward based on collaborative optimization, which is an efficient way to solve mix-variable design optimization problems. On the rule of “divide and rule”, the algorithm decouples the problem into some relatively simple subsystems. Then by using collaborative mechanism, the optimal solution is obtained. Finally, the result of a case shows the feasibility and effectiveness of the new algorithm.

The Development of Virtual Concurrent Engineering and its Application to Stamped Products

1992 ◽  
Author(s):  
J. Schmitz ◽  
S. Desa
Keyword(s):  
Product Development ◽  
Design Optimization ◽  
Concurrent Engineering ◽  
Extensive Study ◽  
Engineering Method ◽  
Engineering Product ◽  
Development Method ◽  
Computer Based ◽  
Definition Of ◽  
Work Done

Abstract It is well-known that so-called Concurrent Engineering is a desirable alternative to the largely sequential methods which tend to dominate most product development methods. However, the proper implementation of a concurrent engineering method is still relatively rare. In order to facilitate the development of a reliable concurrent engineering product development method, we start with a careful definition of concurrent engineering and, after an extensive study of all of product development, we propose three criteria which ideal concurrent engineering must satisfy. However, for labor, time, and overall cost considerations, ideal concurrent engineering is infeasible. Instead, we propose a computer-based environment which, by being constructed in accordance with the three criteria, attempts to approach ideal concurrent engineering. The result is the Virtual Concurrent Engineering method and computer implementation environment. This product development method and computer-based implementation system provide the detailed, structured information and data needed to optimally balance the product with respect to the main product development parameters (e.g., manufacturing costs, assembly, reliability). This important information includes re-design suggestions to improve the existing design. The designer can directly apply these re-design suggestions for design optimization, or he can use the results as input into a more complex design optimization or design parameterization function of his own. To demonstrate Virtual Concurrent Engineering, we use it to refine earlier work done by the authors in the Design for Producibility of stamped products. We discuss, in some detail, the results of applying Design for Producibility to complex stampings, including process plans and product producibility computations.

Multi-Objective Optimisation of Ship Hull With Distributed Applications

2003 ◽  
Author(s):  
Alessandro Giassi ◽  
Fouad Bennis ◽  
Jean-Jacques Maisonneuve
Keyword(s):  
Genetic Algorithm ◽  
Product Design ◽  
Concurrent Engineering ◽  
Distributed Applications ◽  
Asynchronous Communication ◽  
Ship Hull ◽  
Innovative Approach ◽  
Communication Tool ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

In the context of concurrent engineering, this paper presents a quite innovative approach to the collaborative optimisation process, which couples a multi-objective genetic algorithm with an asynchronous communication tool. To illustrate this methodology, three European companies’ collaboration on the optimisation of a ship hull is described. Our study demonstrates that when multi-objective optimisation is carried out in a distributed manner it can provide a powerful tool for concurrent product design.

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