Improving Supply Chain Visibility With Artificial Neural Networks

被引：25

作者：

Silva, Nathalie

Ferreira, Luis Miguel D. F. ^{[1
]}

Silva, Cristovao ^{[1
]}

Magalhaes, Vanessa ^{[1
]}

Neto, Pedro ^{[1
]}

机构：

[1] Univ Coimbra, Dept Mech Engn, Rua Luis Reis Santos Pinhal Marrocos, P-3030788 Coimbra, Portugal

来源：

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷

关键词：

Supply chain; visibility; Artificial neural networks; simulation; experimental;

D O I：

10.1016/j.promfg.2017.07.329

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The vulnerability of supply chains has been increasing and to properly respond to disruptions, visibility across the supply chain is required. This paper addresses these challenges by relying on the use of artificial neural networks to predict the capacity of a simulated supply chain to fulfil incoming orders and to anticipate which supply chain nodes will receive an order for the next period. To assess the effectiveness of the approach two experiments were conducted. The findings contribute to the understanding of on how artificial neural networks can be applied to reduce the vulnerability of supply chains. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：2083 / 2090

页数：8

共 50 条

[1] Improving supply chain risk assessment with artificial neural network predictions
Rezki, Nisrine
Mansouri, Mohamed
ACTA LOGISTICA, 2023, 10 (04): : 645 - 658
[2] Improving supply chain visibility through RFID data
Melski, Adam
Willer, Juergen
Zeier, Alexander
Schumann, Matthias
2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, VOLS 1 AND 2, 2008, : 102 - +
[3] Improving Responsiveness of Supply Chain through RFID Visibility Technology
Xu, Qi
PROCEEDINGS OF 2009 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATION, LOGISTICS AND INFORMATICS, 2009, : 513 - 517
[4] Supply chain visibility for improving inbound logistics: a design science approach
Kalaiarasan, Ravi
Agrawal, Tarun Kumar
Olhager, Jan
Wiktorsson, Magnus
Hauge, Jannicke Baalsrud
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 61 (15) : 5228 - 5243
[5] IMPROVING SUPPLY CHAIN VISIBILITY USING IoT-INTERNET OF THINGS
Pundir, Ashok Kumar
Jagannath, Jadhav Devpriya
Ganapathy, L.
2019 IEEE 9TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2019, : 156 - 162
[6] Performance analysis of supply chain in olive pitting machines by artificial vision and neural networks
Madueno Luna, Antonio
de Jodar Lazaro, Manuel
Lucas Pascual, Alberto
Ruiz Canales, Antonio
Molina Martinez, Jose Miguel
Lopez, M.
Madueno, J. M.
Justicia, M.
Granados, J. A.
IX CONGRESO IBERICO DE AGROINGENIERIA - LIBROS DE ACTAS, 2018, : 1143 - 1150
[7] Improving wave predictions with artificial neural networks
Makarynskyy, O
OCEAN ENGINEERING, 2004, 31 (5-6) : 709 - 724
[8] Contrasting supply chain traceability and supply chain visibility: are they interchangeable?
Roy, Vivek
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT, 2021, 32 (03) : 942 - 972
[9] Improving supply chain performance by Supplier Development program through enhanced visibility
Pradhan, Sudeep Kumar
Routroy, Srikanta
MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 3629 - 3638
[10] Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models
Fanoodi, Bahareh
Malmir, Behnam
Jahantigh, Farzad Firouzi
COMPUTERS IN BIOLOGY AND MEDICINE, 2019, 113

← 1 2 3 4 5 →