Selection of portable hard disk drive based upon weighted aggregated sum product assessment method: A case of Indian market

Angad Deep Singh,Raman Kumar,Abhishek Bhattacherjee,Catalin I Pruncu,Sunpreet Singh

doi:10.1177/0020294020925841

Abstract

The multicriteria decision-making methodology is utilized to assess different portable hard disk drive alternatives, according to the purchaser/retailer/wholesaler liking with respect to various attributes. The hard disk drive comes under various types and has a number of attributes connected with it such as storage capacity, size, data transfer speed and physical dimensions. The modern market caters to a wide variety of customer needs. Therefore, it becomes the need of the hour to present a simple technique to select the best alternative for purchaser/retailer/wholesaler to satisfy their combined needs. Among the multicriteria decision-making methods, the more simple and widely used technique weighted aggregated sum product assessment is utilized in this work. The data of different hard disk drives were collected that were available in the Indian market and 24 different models of five brands were considered in decision-making. The equal weights method and objective weights method, that is standard deviation method, are utilized to allocate weights of significance to the criteria. The ranks obtained with simple additive weighting, weighted product method and weighted aggregated sum product assessment are presented, and final ranks are considered with weighted aggregated sum product assessment method because it is an amalgamation of the simple additive weighting and weighted product method. The result reveals that Western Digital comes out to be the first choice as a brand because the top three models belong to them with both equal and objective weights. While utilizing these techniques, a consumer can purchase the best hard disk drive and it is also very advantageous for merchants and sellers to aid users in procuring their gadgets while manufacture of hard disk drive can produce their product with unique technological features aimed at particular users. Furthermore, the subjective weights can be considered to select the best alternative.

Highlights

Hard disk drive (HDD) is an electro-mechanical gadget utilized to store data and is launched by the International Business Machines Corporation of America in 1956
Equation (7) is used to calculate performance value as per simple additive weighting (SAW) method and equation (8) is as per weighted product method (WPM) method, the dual optimal solution is obtained with equation (9) as per weighted aggregated sum product assessment (WASPAS), the optimal value of l= is obtained for every alternative with equation (10) and the attained results are given away in Table 8 for equal weights method (EWM) and in Table 9 for objective weights standard deviation method (SDM)
Rank 2 goes to HDD-A24 with performance index QWi ASPAS is equal to 0.7717 at optimal l= 0.6327 with EWM and rank 2 goes to HDD-A24 with objective weights (SDM) with performance index QWi ASPAS 0.7683 at optimal l= 0.5907

Summary

Introduction

Hard disk drive (HDD) is an electro-mechanical gadget utilized to store data and is launched by the International Business Machines Corporation of America in 1956. The data collected from the Indian market were limited to HDD-Co from INR 3000 to 7000, HDD-Cap from 1 TB to 2 TB as it has around 86% market share, form factor and wired USB 3.0 to USB 3.1 connectivity It was initially offered in 2012 and observed as a valuable expansion of the SAW and a WSM by Zavadskas et al.[23] The steps utilized in this technique are given as follows. Equation (7) is used to calculate performance value as per SAW method and equation (8) is as per WPM method, the dual optimal solution is obtained with equation (9) as per WASPAS, the optimal value of l= is obtained for every alternative with equation (10) and the attained results are given away in Table 8 for EWM and in Table 9 for objective weights SDM.

Method

Findings

Conclusion