A Fuzzy Rough Sets-Based Multi-Agent Analytics Framework for Dynamic Supply Chain Configuration

International Journal of Production Research - United Kingdom
doi 10.1080/00207543.2016.1151567
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Informa UK Limited

Related search

A Study of Multi-Agent Based Supply Chain Modeling and Management

iBusiness
2010English

Simulation Study on Dynamic Characteristics of VMI Supply Chain Inventory System Based on Multi-Agent System

2011English

Modelling a Multi-Product, Multi-Location and Multi Region Based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer

International Journal of Computer Applications
2019English

Risk Based Framework for Assessing Resilience in a Complex Multi-Actor Supply Chain Domain

Supply Chain Forum
BusinessInternational ManagementManagement ScienceInnovationManagement of TechnologyOperations Research
2018English

Evaluation of Supply Chain Analytics With an Integrated Fuzzy McDm Approach

Beykoz Akademi Dergisi
2019English

A Multi-Agent System for Smart Coordination of Dynamic Supply Chains

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2002English

A Normative Multi-Agent Framework for Dynamic Task Assignment and Delegation

Journal of Artificial Intelligence
Artificial IntelligenceSoftware
2013English

Matching Method for Emergency Plans of Highway Traffic Based on Fuzzy Sets and Rough Sets

Journal of Intelligent and Fuzzy Systems
EngineeringStatisticsProbabilityArtificial Intelligence
2015English

Fuzzy Granularity in the Knowledge-Based Dynamic Fuzzy Sets

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy