Concurrent Decisions on Design Concept and Material Using Analytical Hierarchy Process at the Conceptual Design Stage

2011 ◽  
Vol 19 (2) ◽  
pp. 111-121 ◽  
Author(s):  
A. Hambali ◽  
S.M. Sapuan ◽  
A.S. Rahim ◽  
N. Ismail ◽  
Y. Nukman
Author(s):  
Hambali Ariff ◽  
Mohd. Sapuan Salit ◽  
Napsiah Ismail ◽  
Y. Nukman

Pemilihan konsep reka bentuk yang sesuai di peringkat reka bentuk gagasan dalam proses pembangunan produk adalah merupakan keputusan yang genting. Keputusan yang tidak tepat boleh menyebabkan sesuatu produk itu perlu direka bentuk semula atau dikilang semula. Salah satu daripada keadah yang boleh digunakan dalam menentukan konsep reka bentuk yang paling sesuai adalah process hierarki beranalitis (AHP). AHP telah digunakan dalam hampir kesemua aplikasi yang berkaitan dengan membuat sesuatu keputusan. Dalam kertas kerja ini, hasil daripada kajian kes menunjukkan bahawa konsep AHP boleh membantu pereka bentuk untuk membuat penilaian secara berkesan daripada pelbagai konsep reka bentuk di peringkat reka bentuk gagasan. Kertas kerja ini memaparkan kaedah pemilihan konsep reka bentuk dengan menggunakan proses hierarki beranalitis. Kata kunci: Process hierarki beranalitis; reka bentuk gagasan; proses pembangunan produk; perbandingan pasangan; pembangunan kerusi roda Selecting the right design concept at conceptual design stage in product development process is a crucial decision. Inaccurate decision can cause the product to be redesigned or remanufactured. One of the useful tools that can be employed in determining the most appropriate design concept is Analytical Hierarchy Process (AHP). AHP has been employed in almost all applications related to decision–making problems. In this paper, the results of a case study illustrates that AHP concept can assist designers to effectively evaluate various conceptual design alternatives at the conceptual design stage. This paper presents the methodology of selecting design concepts using analytical hierarchy process. Key words: Analytical hierarchy process; conceptual design; product development process; pairwise comparison; wheelchair development


2014 ◽  
Vol 699 ◽  
pp. 897-902
Author(s):  
Sivarao ◽  
Mohd Fairuz Dimin ◽  
N.M.F. Faris ◽  
A. Hambali ◽  
Sivakumar Dhar Malingam ◽  
...  

Veracious concept selection process is crucial in design engineering where, a concept with concise description will fulfill customers’ requirements. Failure in concept selection can lead to inaccurate design which will result in unnecessary process repetition of the initial stage. One of the best tools that can be used in determining the best design concept is Analytical Hierarchy Process (AHP). Micro Hot-Marking Tool (HMT) is a super-finished tool with micro tip which is to be used for alphabetical marking process using CNC milling machine. In this research, AHP was successfully employed in selecting design concept for HMT. Four significant and robust concepts were analyzed, namely C1, C2, C3 & C4. Concept 2 (C2) has been chosen as the best concept with the highest score of 27% among all the evaluated concepts which will be taken into next design stage.


Author(s):  
M. F. Wani ◽  
Mohammad Ummar

Reliability, availability and maintainability (RAM) of mechanical system plays a significant role in decreasing the life cycle cost of product. It is well known fact that reliability and maintainability of mechanical systems depends to a large extent on diagnosability of mechanical system, i.e., systems with higher diagnosability, not only helps in reducing the failure of the system at operational stage, but will also help in identification and isolation of faulty components of the system in quick possible time. However, to reap maximum benefits of it is inevitable to consider the design for diagnosability of mechanical systems right from conceptual design stage. For the implementation of the same, designer should be provided with suitable and efficient tool for carrying out diagnosability design and evaluation at conceptual design stage. In this paper, a methodology is developed for carrying out diagnosability of mechanical systems at conceptual design stage. At conceptual design stage designer is well versed with the functional and structural hierarchies of the product. The relationship between the components and functions are used to determine the relationship between the components/assemblies and their performance monitoring parameters (PMP). These are modeled in terms of fuzzy diagnosability bipartite graph (FDBG). FDBG is transformed into fuzzy diagnosability matrix (FDM). The FDM represents the fuzzy relationship between the components and PMP. Diagnosability of the system design concept is evaluated in terms of diagnosability index (IDN) which is obtained from the normalized matrix by using −plog2p. First of all the system which has lowest diagnosability is evaluated from normalized FDM (derived by considering relationship value of 1 between components and PMP). Then reference diagnosability value is obtained from this matrix by using −plog2p and this is represented by DP, ref. FDM for design concept is obtained from the relationship between the components and the PMP. DPN of the design concept is also obtained. Diagnosability index (IDN) of the design concept is then obtained by the ratio of (DP, ref − DPN)/ DP, ref. The higher value of IDN means higher diagnosability and its lower value means lower diagnosability. Component which has lowest diagnosability is also identified, i.e., which has highest functional relationship. This provides guidelines to designer not only for the improvement of design from diagnosability point of view, but also helps in evaluation of dignosability at system conceptual design stage.


2000 ◽  
Author(s):  
Yusheng Chen ◽  
Satyandra K. Gupta ◽  
Shaw Feng

Abstract This paper describes a web-based process/material advisory system that can be used during conceptual design. Given a set of design requirements for a part during conceptual design stage, our system produces process sequences that can meet the design requirements. Quite often during conceptual design stage, design requirements are not precisely defined. Therefore, we allow users to describe design requirements in terms of parameter ranges. Parameter ranges are used to capture uncertainties in design requirements. Our system accounts for uncertainties in design requirements in generating and evaluating process/material combinations. Our system uses a two step algorithm. During the first step, we generate a material/process option tree. This tree represents various process/material options that can be used to meet the given set of design requirements. During the second step, we evaluate various alternative process/material options using a depth first branch and bound algorithm to identify and recommend the least expensive process/material combination to the designer. Our system can be accessed on the World Wide Web using a standard browser. Our system allows designs to consider a wide variety of process/material options during the conceptual design stage and allows them to find the most cost-effective combination. By selecting the process/material combination during the early design stages, designers can ensure that the detailed design is compatible with all of the process constraints for the selected process.


2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Jian Du ◽  
Yan Li ◽  
Jinlong Ma ◽  
Yan Xiong ◽  
Wenqiang Li

In the conceptual design stage, inspirational sources play an important role in designers’ creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involves solving the designer’s own deficiencies in associations and limited knowledge, by bridging the “semantic gap” faced by designers when they use Kansei words for inspirational sources. This method can be divided into two aspects: (1) based on the semantic richness of Kansei words, the first part describes how a lexical ontology for Kansei words called KanseiNet is constructed and proposes a spreading activation mechanism based on KanseiNet to complete the semantic expansion of Kansei words; (2) the second part describes how, using existing semantic techniques, relevant design website resources are crawled and analyzed, images’ context descriptions and Kansei evaluations are extracted, and Kansei evaluation index of inspirational images is established. The KanseiNet for Chinese is first constructed, and the Sources of Inspiration Retrieval System for Emotional Design (SIRSED) is developed. An experiment comparing the existing image retrieval systems with SIRSED proved the latter to be a more comprehensive and accurate way for designers to access inspirational sources.


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