UPM Institutional Repository

Analytical hierarchy process for design selection of micro hot-marking tool


Citation

Subramonian, Sivarao and Dimin @ Mohd. Amin, Mohd Fairuz and Faris, N. M. F. and Arep @ Ariff, Hambali and Malingam, Sivakumar Dhar and Salit, Mohd Sapuan (2015) Analytical hierarchy process for design selection of micro hot-marking tool. Applied Mechanics and Materials, 699. pp. 897-902. ISSN 1660-9336; ESSN: 1662-7482

Abstract

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.


Download File

[img]
Preview
PDF (Abstract)
Analytical hierarchy process for design selection of micro hot-marking tool.pdf

Download (105kB) | Preview
Official URL or Download Paper: http://www.scientific.net/AMM.699.897

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.4028/www.scientific.net/AMM.699.897
Publisher: Trans Tech Publications
Keywords: AHP; Concept decision making; Design concept; Hot marking; Marking tool; Micro marking tool
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 20 Sep 2016 08:42
Last Modified: 02 Apr 2019 06:21
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4028/www.scientific.net/AMM.699.897
URI: http://psasir.upm.edu.my/id/eprint/43763
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item