2023
DOI: 10.3390/su151914527
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Distribution Channel Selection Using FUCOM-ADAM: A Novel Approach

Milan Andrejić,
Vukašin Pajić,
Milorad Kilibarda

Abstract: The selection of the appropriate distribution channel is crucial for the success of any business dealing with physical goods. When dealing with this selection, it is crucial to have an effective decision support system (DSS) that can assist with such decisions. While various DSS approaches exist in the literature, not all are suitable for real-world applications. This research aims to address this gap by developing practical DSS tools that can aid decision-makers in making optimal decisions even in situations … Show more

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Cited by 6 publications
(4 citation statements)
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“…Strategic alliances and partnerships will be formed to enhance efficiency, visibility, and sustainability in the coming year [31]. This becomes even more intricate when considering that distribution can be executed via various distribution channels [32] and that risks in cold storage are inevitably present [33].…”
Section: Discussion and Trendsmentioning
confidence: 99%
“…Strategic alliances and partnerships will be formed to enhance efficiency, visibility, and sustainability in the coming year [31]. This becomes even more intricate when considering that distribution can be executed via various distribution channels [32] and that risks in cold storage are inevitably present [33].…”
Section: Discussion and Trendsmentioning
confidence: 99%
“…The FUCOM, as posited by researchers [7][8][9][10], operates on the paradigm of pairwise comparison and the validation of results by assessing the deviations from an ideal consistency. This recent methodology is utilized for deriving the values of weighting coefficients.…”
Section: Fucom Methodsmentioning
confidence: 99%
“…In addition to the sensitivity analysis, model validation was conducted to assess whether there would be a change in ranking if other MCDM methods were applied instead of the MARCOS method. For this purpose, the presented case study was solved using the ADAM (axial-distance-based aggregated measurement), TOPSIS, MOOSRA (multiobjective optimization on the basis of simple ratio analysis), and MABAC (multi-attributive border approximation area comparison) methods [37][38][39]. The rankings obtained from these methods are illustrated in Figure 8.…”
Section: Sensitivity Analysis and Model Validationmentioning
confidence: 99%