Optimal decision making with analytic hierarchy process for screw sustainable manufacture

Stately global climate changes due to global warming and the growing rate resource depletion have compelled several researchers to focus their research in the area of sustainable manufacture. This study proposes an approach to select suitable material to the best performance for screw sustainable ma...

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Bibliographic Details
Main Author: Ali, Hayder Talal
Format: Thesis
Published: 2015
Subjects:
Online Access:http://eprints.uthm.edu.my/7533/
http://eprints.uthm.edu.my/7533/1/HAYDER_TALAL_ALI.pdf
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Summary:Stately global climate changes due to global warming and the growing rate resource depletion have compelled several researchers to focus their research in the area of sustainable manufacture. This study proposes an approach to select suitable material to the best performance for screw sustainable manufacture by taking into consideration the three sustainability pillars. The three pillars sustainable were environmental, economic, and social impacts and taking screw M5* 0.8 as a case study. The parameters involved were types of material and manufacturing process of screw. The types of material concerned for manufacturing process Ferritic Stainless Steel, AISI 304 Austenitic Stainless Steel, 2024 high strength (Aluminum alloy), Ti-6Al-4v (Titanium alloy) and AISI 1045 Carbon Steel with manufacturing processes were forging and machining. The criteria for social impact were the factor of safety and the data generated by solidworks software. With respect to the economic impact, the cost of production for screw was depended and DFM software used to determine the cost. For environmental impact, the data generated from the Solidworks sustainability tool. The analysis data used in the formation of pair wise comparison matrices for the Analytic Hierarchy Process (AHP). After that, the ranking of global priorities had enabled the determination of suitable material for screw sustainable manufacture. As a result, AISI 1045 Carbon under machining process was the best choice.