scholarly journals Distributed Dynamic Scheduling for Cyber-Physical Production Systems Based on a Multi-Agent System

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 1855-1869 ◽  
Author(s):  
Zengqiang Jiang ◽  
Yang Jin ◽  
Mingcheng E ◽  
Qi Li
Keyword(s):  
Dynamic Scheduling ◽  
Production Systems ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Cyber Physical Production Systems

scholarly journals Platform Independent Multi-Agent System for Robust Networks of Production Systems

2018 ◽  
Vol 51 (11) ◽  
pp. 1261-1268 ◽  
Author(s):  
Luis Alberto Cruz Salazar ◽  
Felix Mayer ◽  
Daniel Schütz ◽  
Birgit Vogel-Heuser
Keyword(s):  
Production Systems ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Multi-agent system for dynamic scheduling

2020 ◽  
Author(s):  
Bernardo Firme ◽  
Guilherme Lopes ◽  
Miguel S. E. Martins ◽  
Tiago Coito ◽  
Joaquim Viegas ◽  
...  
Keyword(s):  
Dynamic Scheduling ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

A stochastic multi-agent system for Internet of Things-enabled waste management in smart cities

2018 ◽  
Vol 36 (11) ◽  
pp. 1113-1121 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Arkady Zaslavsky ◽  
Inna Sosunova ◽  
Petr Fedchenkov ◽  
Alexey Medvedev ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Waste Management ◽  
Urban Areas ◽  
Dynamic Scheduling ◽  
Smart Cities ◽  
Multi Agent System ◽  
Sensors And Actuators ◽  
Agent System ◽  
Four Seasons ◽  
Multi Agent

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with Internet of Things (IoT) sensors and actuators. Prior approaches focus mainly on the dynamic scheduling and routing issues emerging from IoT-enabled waste management. However, less research has been done in the area of the stochastic reassignment process during the four seasons of the year over a period of two years. In this paper we aim to stochastically reassign trucks to collect waste from bins through time. We treat this problem with a multi-agent system for stochastic analyses.

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