A synergy of spatial perspective based non-numeric ME-MCDM and modified Dijkstra algorithm for optimal distribution route selection

Hartrisari Hardjomidjojo, Marimin Marimin, Suprihatin Suprihatin and Rindra Yusianto

International Journal of Information and Decision Sciences, 2022, vol. 14, issue 4, 371-398

Abstract: The contribution of this paper is a new method synergising advanced non-numeric multi-expert multi-criteria decision-making (ME-MCDM) and modified Dijkstra algorithm with spatial perspectives. The selected route was determined by multiplying distance (D) in the classical Dijkstra algorithm with alternative values (AV) from non-numeric ME-MCDM using spatial perspective (S). In this new method, we provided the ratio values (R) for each spatial variable. The most optimal route (Rs) was determined by calculating the total alternative value (TAV) that was considered conflicting multi-criteria. The smallest TAV value is selected as the most optimal route. The results showed the new method provides a more reasonable and meaningful solution compared with the classical Dijkstra algorithm results. So, this new method can be used to determine the optimal distribution route selection which is more suitable for the agro-industrial sector. For further research, this method can be applied to optimise the supply and demand balance.

Keywords: distribution route selection; non-numeric ME-MCDM; modified Dijkstra algorithm; spatial perspectives. (search for similar items in EconPapers)
Date: 2022
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