Multi-Criteria Decision-Making Tools for Project Selection by International Conglomerates

Lee, Ho Yan; Heng, Yi Peng; Selvanathan, Kashwin; Chandrahasan, Prasanth; Chemmangattuvalappil, Nishanth G.

doi:10.1007/s41660-023-00376-1

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…Saaty established the AHP technique in the 1970s, which has been proven to be highly effective in the decision-making process. It has been widely applied in manufacturing units, capital budgeting, project management, and business planning [18,19]. AHP allows decision-makers to assess the significance of various factors.…”

Section: Introductionmentioning

confidence: 99%

Decision making approaches for recognizing the optimal alkalized corchorus olitorius powder based composites for sustainable applications

Mahakur,

Bhowmik,

Patowari

2023

Phys. Scr.

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The performance, durability, sustainability, and quality of the finished product rely entirely on material utilization. Therefore, it is decisive to pick the pertinent material for each specific product. The multi-criteria decision-making (MCDM) process is effective for identifying the appropriate material from a group of options. This study examines the rank of various alkaline-treated corchorus olitorius filler-reinforced composites using hybrid MCDM techniques, such as the analytical hierarchy process (AHP), multi objectives on the basis of ratio analysis (MOORA), and technique for order preference by resemblance to an ideal solution (TOPSIS). The AHP approach was used to compute the weightage for each element, and the composites were ranked by integrating the weight value of the AHP method with the MOORA and TOPSIS processes. The output attributes of the alkalized corchorus olitorius filler specimen, such as the abrasion characteristics (coefficient of friction, disc temperature, and wear) and mechanical attributes (tensile strength, flexural strength, and hardness), were considered to optimize the composites. Samples for multiple testing were prepared using the hand layup technique by reinforcing varying filler amounts (0, 2.5, 5, 7.5, 10, and 12.5%) into the resin matrix. Using the MCDM techniques, the 5 wt% of filler-based composite was obtained as the best sample, followed by the 2.5 wt% for filler-based composites.

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Section: Introductionmentioning

confidence: 99%