By means of an application, in the present paper, the suitability of a multivariate statistical methodology, as multidimensional scaling (MDS), to solve an optimization problem is shown. In particular, considering the stock location assignment problem in the warehouse of a supermarket chain, the solution gained by applying MDS to a set of seven variables is compared with the one obtainable by considering the usual techniques applied in this context. A wide discussion of results is reported.
Mineo Angelo, Plaia Antonella (1999). Multidimensional scaling and stock location assignment in a warehouse: an application. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 15(4), 387-392 [10.1002/(SICI)1526-4025(199910/12)15:4<387::AID-ASMB402>3.0.CO;2-G].
Multidimensional scaling and stock location assignment in a warehouse: an application
Mineo Angelo
;Plaia Antonella
1999-01-01
Abstract
By means of an application, in the present paper, the suitability of a multivariate statistical methodology, as multidimensional scaling (MDS), to solve an optimization problem is shown. In particular, considering the stock location assignment problem in the warehouse of a supermarket chain, the solution gained by applying MDS to a set of seven variables is compared with the one obtainable by considering the usual techniques applied in this context. A wide discussion of results is reported.
| File | Dimensione | Formato | |
|---|---|---|---|
|
Appl Stoch Models Bus Ind - 2000 - Mineo - Multidimensional scaling and stock location assignment in a warehouse an.pdf
Solo gestori archvio
Tipologia:
Versione Editoriale
Dimensione
96.51 kB
Formato
Adobe PDF
|
96.51 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
