Evaluation of the strength of computer aided method engineering for product development process modeling

1998 ◽  
pp. 394-410 ◽  
Author(s):  
A. N. W. Dahanayake
Keyword(s):  
Product Development ◽  
Process Modeling ◽  
Development Process ◽  
Product Development Process ◽  
Method Engineering ◽  
Computer Aided

Toward a Multi-Objective, Multi-Level Optimization Based Engineering Decision Tool

2012 ◽  
Author(s):  
Adam J. Shuttleworth ◽  
Atul Kelkar
Keyword(s):  
Product Development ◽  
Product Design ◽  
Development Process ◽  
Computer Aided Engineering ◽  
Product Development Process ◽  
Decision Tool ◽  
Test Cycle ◽  
Time To Market ◽  
Computer Aided ◽  
Multi Level

Prior to the acceptance of computer aided engineering (CAE) software in the product development process (PDP), product development was characterized by a design-test-redesign-test cycle. This activity was time consuming and resource intensive. As CAE software tools have been integrated into the PDP, the PDP has been characterized by a design-simulate-redesign-test cycle. The addition of CAE tools to the PDP has reduced the time to market and resource consumption. Although the benefits of the integration of CAE software in the PDP process have been realized, there still exists an arbitrary relationship between the results from the CAE tools to engineering decisions regarding product design.

A Project-Driven E-Design System for Product Development Process Modeling

2011 ◽  
Vol 101-102 ◽  
pp. 610-613
Author(s):  
Lei Jie Fu ◽  
Ping Yu Jiang
Keyword(s):  
Product Development ◽  
Product Design ◽  
Process Modeling ◽  
Development Process ◽  
Product Development Process ◽  
Design System ◽  
Pump Design ◽  
Design Chain ◽  
System Task ◽  
Key Techniques

Product development process modeling (PDPM) is one of the key techniques for product development (PD). The main aim of PDPM is to provide a product design chain (PDC) for PD. To increase the efficiency of PDPM, a project-driven e-design system is proposed in this paper. There are two modules in the system: task decomposition and product design chain construction. Additionally, key techniques for enabling the system are discussed. Finally, an example of steering oil pump design project is studied to demonstrate the system.

Computer-aided sketching as a tool to promote innovation in the new product development process

2009 ◽  
Vol 60 (8) ◽  
pp. 592-603 ◽  
Author(s):  
Pedro Company ◽  
Manuel Contero ◽  
Peter Varley ◽  
Nuria Aleixos ◽  
Ferran Naya
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Development Process ◽  
New Product ◽  
Product Development Process ◽  
Computer Aided ◽  
New Product Development Process

Product Development Process Modeling: State of the Art and Classification

2013 ◽  
pp. 169-179 ◽  
Author(s):  
Carolina Román Amigo ◽  
Diego Rodrigues Iritani ◽  
Henrique Rozenfeld ◽  
Aldo Ometto
Keyword(s):  
Product Development ◽  
Process Modeling ◽  
Development Process ◽  
State Of The Art ◽  
Product Development Process

Approaches of Knowledge-Based Design

2003 ◽  
Author(s):  
Sa´ndor Vajna
Keyword(s):  
Product Development ◽  
Development Process ◽  
Product Development Process ◽  
Research Needs ◽  
Knowledge Based ◽  
Open Questions ◽  
Computer Aided ◽  
Knowledge Based Design

Knowledge-based design is a concept for the computer-aided provision and application of different representations of knowledge along the product development process. In this paper, a knowledge taxonomy is proposed, possible applications of knowledge-based design and the resulting benefits are discussed as well as open questions and research needs.

scholarly journals Product Development Process Modeling Using Advanced Simulation

2001 ◽  
Author(s):  
Soo-Haeng Cho ◽  
Steven D. Eppinger
Keyword(s):  
Product Development ◽  
Process Modeling ◽  
Development Process ◽  
Latin Hypercube Sampling ◽  
Project Planning ◽  
Product Development Process ◽  
Modeling And Analysis ◽  
Process Improvements ◽  
Design Structure ◽  
Dynamic Stochastic

Abstract This paper presents a product development process modeling and analysis technique using advanced simulation. The model computes the probability distribution of lead time in a resource-constrained project network where iterations take place among sequential, parallel and overlapped tasks. The model uses the design structure matrix representation to capture the information flows between tasks. In each simulation run, the expected durations of tasks are initially sampled using the Latin Hypercube Sampling method and decrease over time as the model simulates the progress of dynamic stochastic processes. It is assumed that the rework of a task occurs for the following reasons: (1) new information is obtained from overlapped tasks after starting to work with preliminary inputs, (2) inputs change when other tasks are reworked, and (3) outputs fail to meet established criteria. The model can be used for better project planning and control by identifying leverage points for process improvements and evaluating alternative planning and execution strategies. An industrial example is used to illustrate the utility of the model.

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