Development of decision support system for e-supplier selection in Indian mechanical manufacturing industry using distance based approximation

Abstract

This paper proposes a framework to develop a deterministic model for the valuation, selection and grading (ranking) of e-suppliers by using Modified Distance Based Approach (MDBA), which has not been used earlier in e-supplier selection. The e-supplier selection system performs a major part for the successful running of any supply chain. Thus, for effective running of any supply chain, it is necessary to build a system for the selection of e-supplier. Building such a decision support system software is important for the development of any decision support system efficiently with reduced cost, time and effort. The current research is based on 8 criteria and 52 sub-criteria by giving equal weightage to all of them. In this study, the major criteria are disintegrated into small sub-criteria. To validate the results obtained through the proposed distance based approximation method, the results are compared with other methodologies. Finally, with the illustration of the example problem, the applicability of the developed model is described.

Advanced multi-criteria decision-making technique to describe the relationship between criteria and select optimal alternatives

“…For the choice of alternatives, if alternatives like Alts1, Alts2, Alts3, Alts7, and Alts8 are removed from the set, it can be concluded that fuzzy DEMATEL-DBA provides better results with less time and easier procedure when compared with fuzzy DEMATEL-TOPSIS. This conclusion is consistent with that concluded by Jain et al (2016), Rishi Kumar & Garg (2010), and A Kumar et al (2019) (Jain et al, 2016;Rishi Kumar & Garg, 2010;A Kumar et al, 2019). Similarly, if only Alts3, Alts4, and Alts10 are considered, fuzzy DEMATEL-DBA also gives a faster solution than DEMATEL-GRA.…”

“…This approach mainly considers the distance between the alternatives and optimal points. Therefore, the determination of the optimal point and the ideal solutions are prioritized (Rishi Kumar & Garg, 2010;A Kumar et al, 2019). According to Gupta et al (2018), i i1 i2 ij A = (a , a , ..., a ) is a set of alternatives and op1 op2 opj OP = (a , a , ..., a ) represents a set of optimal points that are the best values of criteria used to rank alternatives in multi-dimensional space (Aakash Gupta et al, 2018).…”

“…In Figure 3, the proposed process is a combination of DBA and fuzzy, in which fuzzy DEMATEL is in charge of determining the cause or effect relationships of criteria and weights of each criterion. DBA is responsible for evaluating alternatives based on criteria and finding the best one (A Kumar et al, 2019;Shieh et al, 2010;Weiquan Zhang & Deng, 2019). Therefore, this process consists of three stages, including 1) finding the structure of the relationships of criteria and the evaluation weights of each criterion, 2) determining the distance between alternative and optimal point, and 3) evaluating and ranking alternatives.…”

“…To deal with the problem of finding the solution in less time than conventional approaches, a new suitable method that is also proposed to solve problems in selecting the best alternatives is the approach of distance-based approximation (DBA) (Duleba et al, 2021;Duleba & Szádoczki, 2022). In particular, its running time is shorter than the running time of TOPSIS and its procedure is very simple (Amit et al, 2014;Aakash Gupta et al, 2018;A Kumar et al, 2019). DBA is derived from the selection and rating of software reliability growth models (SofRGM) (Aakash Gupta et al, 2018).…”