Determination of Design Specifications for Sungai Melaka Cleaning Boat Design Improvement Through House of Quality

2022 ◽  
pp. 335-345
Author(s):  
Mohd Arizam Abdul Wahap ◽  
Mohd Kamal Musa ◽  
Mohamad Syafiq Mohamad Noor ◽  
Abdul Munir Hidayat Syah Lubis ◽  
Mohamed Saiful Firdaus Hussin ◽  
...  
Keyword(s):  
House Of Quality ◽  
Design Improvement ◽  
Design Specifications

Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality

1999 ◽  
Author(s):  
Patricia Brackin ◽  
Jonathan Colton
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Penalty Functions ◽  
Preliminary Design ◽  
Test Results ◽  
House Of Quality ◽  
Design Specifications ◽  
Engineering Characteristics ◽  
Target Values

Abstract As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms were used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for the automotive case study. In addition, the genetic algorithm chosen, the genetic coding, the methods used for mutation and reproduction, and the fitness and penalty functions are descrobed. Methods for determining convergence are examined. Finally, test results show that the genetic algorithm produces reasonable preliminary design specifications.

A Strategy for Extending the House of Quality to Obtain Preliminary Design Specifications

1999 ◽  
Author(s):  
Patricia Brackin ◽  
Jonathan Colton
Keyword(s):  
Genetic Algorithms ◽  
Automotive Industry ◽  
Test Case ◽  
Preliminary Design ◽  
House Of Quality ◽  
Design Specifications

Abstract This paper details a strategy for quantifying the House of Quality to produce preliminary design specifications. Estimation modules replace the traditional symbols in the HoQ. Genetic algorithms are used to produce and rate candidate preliminary design specifications. A test case from the automotive industry is implemented in order to test the effectiveness of the strategy. Results from the test case indicate that the strategy produces preliminary design specifications that are reasonable and consistent.

Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality

2002 ◽  
Vol 2 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Patricia Brackin ◽  
Jonathan S. Colton
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Penalty Functions ◽  
Preliminary Design ◽  
Test Results ◽  
House Of Quality ◽  
Design Specifications ◽  
Engineering Characteristics ◽  
Target Values

As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms are used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for an automotive case study. In addition, the genetic algorithm chosen, the genetic coding, the methods used for mutation and reproduction, and the fitness and penalty functions are described. Methods for determining convergence are examined. Finally, test results show that the genetic algorithm produces reasonable preliminary design specifications.

Determination of Ranged Sets of Design Specifications by Incorporating Heterogeneous Design Capability Information

2006 ◽  
Author(s):  
Huibin Lui ◽  
Wei Chen ◽  
Michael J. Scott ◽  
Khurshid Qureshi
Keyword(s):  
Rough Set Theory ◽  
Design Concepts ◽  
Overall Design ◽  
Design Specifications ◽  
Design Goal ◽  
Design Flexibility ◽  
Design Attribute ◽  
Conventional Optimization ◽  
Attribute Space

Setting design specifications (targets) is a critical task in the early stages of a design process. Flexible targets can accommodate uncertainty and changes in design by postponing design commitments and preserving design freedom. In this work, a new and efficient method for obtaining a ranged set of design specifications that meets the overall design goal while incorporating heterogeneous design capability information is developed. Our proposed method involves two important aspects. First, a quantization algorithm based on rough set theory is used to decompose a design attribute space into subregions based on how well they meet the overall design goal. Second, a new design flexibility measure is used as a metric to select the most desired “target region” based on both the size of the region and the design capability information retrieved from potential design concepts. Our approach captures heterogeneous design capability information in the design attribute space and enhances the ability to adapt to evolving design knowledge as well as unexpected changes. The proposed method is much more efficient than conventional optimization algorithms for solving such problems. The proposed method is demonstrated by a numerical example and the design of a domestic blender.

Structured Brainstorming: A Method for Collecting User Requirements

1993 ◽  
Vol 37 (5) ◽  
pp. 427-431 ◽  
Author(s):  
Jani G. Byrne ◽  
Todd Barlow
Keyword(s):  
Quality Function Deployment ◽  
User Requirements ◽  
House Of Quality ◽  
Customer Requirements ◽  
Quality Function ◽  
Product Experience ◽  
Design Specifications ◽  
The Core

This paper describes the Structured Brainstorming process employed by IBM's Networking Systems Customer Requirements department for collecting, analyzing, and deploying product requirements. Structured Brainstorming relies on the user's job and product experience to generate ideas for product requirements. Structured Brainstorming elicits these requirements from the users through a series of group and individual activities. After identifying the core ideas, users assign them priorities and assign satisfaction scores for current products. This information may be used to build a House of Quality (HOQ) within Quality Function Deployment (QFD) to organize and translate user requirements into design specifications. The authors offer guidelines and suggestions based on their experience with the technique.

scholarly journals Design, Kinematic Optimization, and Evaluation of a Teleoperated System for Middle Ear Microsurgery

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Mathieu Miroir ◽  
Yann Nguyen ◽  
Jérôme Szewczyk ◽  
Olivier Sterkers ◽  
Alexis Bozorg Grayeli
Keyword(s):  
Middle Ear ◽  
Human Body ◽  
Middle Ear Surgery ◽  
Robotic Assistance ◽  
Kinematic Structure ◽  
Ear Surgery ◽  
Design Specifications ◽  
Human Temporal Bone ◽  
Kinematic Optimization

Middle ear surgery involves the smallest and the most fragile bones of the human body. Since microsurgical gestures and a submillimetric precision are required in these procedures, the outcome can be potentially improved by robotic assistance. Today, there is no commercially available device in this field. Here, we describe a method to design a teleoperated assistance robotic system dedicated to the middle ear surgery. Determination of design specifications, the kinematic structure, and its optimization are detailed. The robot-surgeon interface and the command modes are provided. Finally, the system is evaluated by realistic tasks in experimental dedicated settings and in human temporal bone specimens.

Determination of ranged sets of design specifications by incorporating design-space heterogeneity

2008 ◽  
Vol 40 (11) ◽  
pp. 1011-1029 ◽  
Author(s):  
Huibin Liu ◽  
Wei Chen ◽  
Michael J. Scott ◽  
Khurshid Qureshi
Keyword(s):  
Design Space ◽  
Design Specifications

scholarly journals Residual Strength Improvement of an Aluminium Alloy Cracked Panel

2013 ◽  
Vol 7 (1) ◽  
pp. 90-97 ◽  
Author(s):  
F. Caputo ◽  
G. Lamanna ◽  
A. Soprano
Keyword(s):  
Finite Element ◽  
Residual Strength ◽  
Load Condition ◽  
Strength Properties ◽  
Stiffened Panel ◽  
Crack Plane ◽  
Damage Propagation ◽  
Design Improvement ◽  
Strength Improvement

This work deals with the application of the micromechanical Gurson-Tvergaard (GT) model to the determination of the residual strength of analuminumflat stiffened panel (2024 T3) with a central through crack, by means of finite element simulations. The load condition is represented by a monotonic traction along the direction orthogonal to the crack plane. The used Finite Element code is WARP 3D®, which allows simulating ductile damage propagation by considering the GT model. Numerical results have been compared with experimental ones available in literature. In the second part of the work, a home madeprocedurefounded on the SDI (Stochastic Design Improvement) technique is presented and applied to the improvement of the residual strength properties of the considered panel.

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