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PL
W praktyce podejmowania wielokryterialych decyzji często spotykamy się z sytuacją, w której kryteria podejmowania decyzji są niemierzalne. Uogólniona miara odległości (Generalised Distance Measure – GDM) umożliwia uporządkowanie wariantów decyzyjnych, także biorąc pod uwagę cechy niemierzalne (zarówno na skali porządkowej, jak i nominalnej), dlatego może być wykorzystana jako narzędzie wspomagające proces podejmowania decyzji w takich przypadkach. W artykule zostanie podjęta próba wyboru wariantu decyzyjnego za pomocą uogólnionej miary odległości dla różnych kombinacji wag. Wyniki zostaną porównane do tych uzyskanych za pomocą metody TOPSIS dla odległości euklidesowych.
EN
In the practice of multiple-criteria decision making, we face very often the situation, in which decision making criteria are non-measurable. The Generalised Distance Measure (GDM) enables ordering of objects also considering the non-measurable variables (on both ordinal and nominal scale), so it can also be used as a tool of decision support in such cases. In the article, the author will try to select the decision variant by means of the Generalised Distance Measure for various combination of weights. Obtained results will be compared to these obtained by means of the TOPSIS method for Euclidean distances.
EN
When a shared storage system is used, the selection of locations from which products should be picked becomes a significant decision problem. Every storage location can be described using several criteria, such as: storage time, distance from the I/O point, degree of demand satisfaction, the number of other products to be picked near the analysed location, or others. Based on such criteria, a synthetic variable can be created to rank all these locations; the highest-ranking one is selected. Such a ranking is created using the Generalised Distance Measure (GDM); the selected locations and the picker’s route based on them are compared to the results obtained using the Taxonomic Measure of Location’s Attractiveness (TMAL). Both route length and picking time are compared. Also, the influence of the system of criteria weights within each method on the route length and the picking time is analysed using simulation methods.
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