Towards a Predictive Approach for Omni-channel Retailing Supply Chains

Marina Meireles Pereira, Enzo Morosini Frazzon

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

Abstrakt

The adoption of omni-channel strategy has changed the relation between retailers and customers and brought more complexity to the retailing supply chains. To address the increasing complexity, it is necessary to adopt innovative approaches based on information technologies and intelligent decision methods. The challenges to retailers are improving the accuracy of offline and online channels demand forecasting, better managing offline and online customer's needs, thus reducing the uncertainties of the omni-channel retailing supply chain. In this context, this research paper aims to propose a predictive approach for omni-channel retailing supply chain combining clustering with artificial neural network to handle demand uncertainty.

OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind52
Udgave nummer13
Sider (fra-til)844-850
DOI
StatusUdgivet - sep. 2019
Udgivet eksterntJa
Begivenhed9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 - Berlin, Tyskland
Varighed: 28. aug. 201930. aug. 2019

Konference

Konference9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019
Land/OmrådeTyskland
ByBerlin
Periode28/08/201930/08/2019
Sponsoret al., IFAC TC 1.3. Discrete Event and Hybrid Systems, IFAC TC 3.2. Computational Intelligence in Control, IFAC TC 4.3. Robotics, IFAC TC 5.1. Manufacturing Plant Control, International Federation of Automatic Control (IFAC) - Technical Committee on Manufacturing Modelling for Management and Control, TC 5.2

Bibliografisk note

Funding Information:
This study was financed in part by the Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - Brasil (CAPES) - Finance Code 001.

Funding Information:
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

Publisher Copyright:
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

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