Space planning and optimization

摘要

SPACE PLANNING AND OPTIMIZATION Input data for each of a plurality of stores is obtained (402). The plurality of stores are clustered (408) into one or more department-level clusters based on at least one department value demographic for calculating a plurality of department space elasticity values. The stores are ranked (410), by a space optimization module corresponding to at least one department, for each department-level cluster, to obtain a set of optimal departments for the space planning and optimization using a rapid linearization algorithm. Optimal space plan recommendations are generated (414), by processing information associated with the set of optimal departments and the set of optimal stores using a nonlinear space optimization mechanism. P140192/9757804 OBTAN kPUT DATA FOR EACH OF A PLURALy oF STORES AND ONE OR MOPE DEPARTMENTS CDRRESONDING TO THE PGPAUTY OF STORES PROCESS THE INPUT DATA TO GBTAN. FOR EACH OF THE PLURAUTY OF STOREs PARAMETER DATA FOR THE Si TORE AND PERFORMANCE DATA AND DEMoCRAPsGS DATA FOR EAcH aF THE ONE OR MORE DEPARTMENTS %AssmoATED W8TH THE STORE Y AEY DEMOGRAPHICS ANDRMEERS FTH R EACH DEPR N, THE KEY DE% RAscs A P PARAMTEs A.E THE EMG ASAND PARAMsTERs THA INLUECE E~rRMACEOF THE DEPI-ARTME NT f- 40GB C'u~su THE STORES NT, cNE ORmoRE. DEPARTM N'ENT-LEVE=-L CLOLSTERS EASED O THE KEY, DEMCOG,:RAPICrS. A4ND TH7E ARMTR - 410 R T e EATMNS FOR EACH DEPAMEN/-T-LEV EL C TETOBTA N: AE SET OF7 PFT MA ,,L DEPARM -ENT S F0oR SPcPLAN,1!q/ANr- OP AZ:NO / -- 412 RAN STHE ES, FOR EACH DEARTMENT-LEVEL CLUSTER, TO OTAN A SET OF TWASTRES E PAES FO R SPA CE PLAN NG OMATN OF ITAONAL DEPARTmEt"s -414 GENERATE SPACE RLA#-No RECOMMiENDATONS BY PROCESSiNG iNFORMATION ASSOCIATED WiTm: THE SET OF OP7MAL STORES AND THE S oF OPTAL DEPARTMENTS FOR1 EACH CF T HE SET OF STORES USMNG A NONLINEAR SPACE OFTMIMZAT:ON MECHANSM Fig. 4