An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects

Competitive pressures and business globalization have led many organizations, mainly technology-based and innovation-oriented companies, to adopt project-based organizational structures. In a multi-project context within enterprise networks, reaching feasible solutions to the multi-project (re)sched...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tosselli, Laura, Bogado, Verónica, Martínez, Ernesto
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2017
Materias:	Ciencias Informáticas multi-project (re)scheduling project-oriented fractal organization multi-agent simulation
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/63483
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-63483
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas multi-project (re)scheduling project-oriented fractal organization multi-agent simulation
spellingShingle	Ciencias Informáticas multi-project (re)scheduling project-oriented fractal organization multi-agent simulation Tosselli, Laura Bogado, Verónica Martínez, Ernesto An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
topic_facet	Ciencias Informáticas multi-project (re)scheduling project-oriented fractal organization multi-agent simulation
description	Competitive pressures and business globalization have led many organizations, mainly technology-based and innovation-oriented companies, to adopt project-based organizational structures. In a multi-project context within enterprise networks, reaching feasible solutions to the multi-project (re)scheduling problem represents a major challenge, where autonomy and decentralization of the environment favor agent-based simulation This work presents and validates a simulation-based multi-agent model using the fractal company concept to solve the complex multi-project (re)scheduling problem in enterprise networks. The proposed agent-based model is tested trough a set of project instances that vary in project structure, project parameters, number of resources shared, unplanned events that affect them, etc. Results obtained are assessed through different scheduling goals, such project total duration, project total cost, leveling resource usage, among others to show that decoupled learning rules allows finding a solution which can be understood as a Nash equilibrium for the interacting agents and it is far better compared to the ones obtained with existing approaches.
format	Objeto de conferencia Objeto de conferencia
author	Tosselli, Laura Bogado, Verónica Martínez, Ernesto
author_facet	Tosselli, Laura Bogado, Verónica Martínez, Ernesto
author_sort	Tosselli, Laura
title	An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
title_short	An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
title_full	An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
title_fullStr	An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
title_full_unstemmed	An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
title_sort	agent-based simulation model using decoupled learning rules to (re)schedule multiple projects
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/63483
work_keys_str_mv	AT tossellilaura anagentbasedsimulationmodelusingdecoupledlearningrulestoreschedulemultipleprojects AT bogadoveronica anagentbasedsimulationmodelusingdecoupledlearningrulestoreschedulemultipleprojects AT martinezernesto anagentbasedsimulationmodelusingdecoupledlearningrulestoreschedulemultipleprojects AT tossellilaura agentbasedsimulationmodelusingdecoupledlearningrulestoreschedulemultipleprojects AT bogadoveronica agentbasedsimulationmodelusingdecoupledlearningrulestoreschedulemultipleprojects AT martinezernesto agentbasedsimulationmodelusingdecoupledlearningrulestoreschedulemultipleprojects
bdutipo_str	Repositorios
_version_	1764820480838074368

An agent-based simulation model using decoupled learning rules to (re)schedule multiple projects

Ejemplares similares