WORKLOAD FORECAST ALGORITHM OPTIMIZATION FOR RE-ORGANIZING RETAIL NETWORK

被引：0

作者：

Bruzzone, Agostino G. ^{[1
]}

Poggi, Simonluca ^{[1
]}

Bocca, Enrico ^{[2
]}

Longo, Francesco ^{[3
]}

Madeo, Francesca ^{[3
]}

Rondinelli, Sabrina ^{[3
]}

机构：

[1] Univ Genoa, DIPTEM, McLeod Inst Simulat Sci, Via Opera Pia 15, I-16145 Genoa, Italy

[2] MAST srl, I-16158 Genoa, Italy

[3] Univ Calabria, Modeling & Simulat Ctr, Lab Enterprise Solut, Dept Mech Engn, I-87036 Arcavacata Di Rende, Italy

来源：

7TH INTERNATIONAL WORKSHOP ON MODELING & APPLIED SIMULATION | 2008年

关键词：

forecast algorithm optimization; retail network re-organization;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This research is focused on developing an innovative approach for optimizing workload forecast algorithms in point of sale for retailers; this paper proposes a real case as validation framework and the procedures for optimizing and fine tuning the predictive algorithms for improving their performances. The analysis is based on different time series (i.e. sales, customers, working hours, etc.) correlated by the predictive algorithms. The paper proposes a metrics devoted to measure the performances considering the multivariable framework and the different target functions.

引用

页码：77 / 82

页数：6

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