An Agent-Based Decision Support Platform for Additive Manufacturing Applications

An Agent-Based Decision Support Platform for Additive Manufacturing Applications

The effective estimation and consideration of process cost, time, and quality for additive manufacturing operations, when a series of suitable technologies and resources are available, is very important for making informed product design and development decisions. The main objective of this paper is...

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Bibliographic Details
Main Authors: Nikolaos Papakostas, Anthony Newell, Abraham George
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
process planning
scheduling
design for additive manufacturing
multiple criteria
Online Access:https://www.mdpi.com/2076-3417/10/14/4953
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spelling doaj-26fdede53ede4e378a4cf0b7b3efff9d2020-11-25T03:11:57ZengMDPI AGApplied Sciences2076-34172020-07-01104953495310.3390/app10144953An Agent-Based Decision Support Platform for Additive Manufacturing ApplicationsNikolaos Papakostas0Anthony Newell1Abraham George2Laboratory for Advanced Manufacturing Simulation and Robotics, School of Mechanical and Materials Engineering, University College Dublin, D04 V1W8 Dublin 4, IrelandLaboratory for Advanced Manufacturing Simulation and Robotics, School of Mechanical and Materials Engineering, University College Dublin, D04 V1W8 Dublin 4, IrelandLaboratory for Advanced Manufacturing Simulation and Robotics, School of Mechanical and Materials Engineering, University College Dublin, D04 V1W8 Dublin 4, IrelandThe effective estimation and consideration of process cost, time, and quality for additive manufacturing operations, when a series of suitable technologies and resources are available, is very important for making informed product design and development decisions. The main objective of this paper is to propose the design, deployment, and use of an agent-based decision support platform, which is capable of proposing alternative additive manufacturing resources and process configurations to design engineers while reducing the number of communication steps among engineering teams and organizations. Different computer-aided systems are utilised and interfaced for automating the information exchange as well as for accelerating the overall product development process.https://www.mdpi.com/2076-3417/10/14/4953process planningschedulingdesign for additive manufacturingmultiple criteria
collection DOAJ
language English
format Article
sources DOAJ
author Nikolaos Papakostas
Anthony Newell
Abraham George
spellingShingle Nikolaos Papakostas
Anthony Newell
Abraham George
An Agent-Based Decision Support Platform for Additive Manufacturing Applications
Applied Sciences
process planning
scheduling
design for additive manufacturing
multiple criteria
author_facet Nikolaos Papakostas
Anthony Newell
Abraham George
author_sort Nikolaos Papakostas
title An Agent-Based Decision Support Platform for Additive Manufacturing Applications
title_short An Agent-Based Decision Support Platform for Additive Manufacturing Applications
title_full An Agent-Based Decision Support Platform for Additive Manufacturing Applications
title_fullStr An Agent-Based Decision Support Platform for Additive Manufacturing Applications
title_full_unstemmed An Agent-Based Decision Support Platform for Additive Manufacturing Applications
title_sort agent-based decision support platform for additive manufacturing applications
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-07-01
description The effective estimation and consideration of process cost, time, and quality for additive manufacturing operations, when a series of suitable technologies and resources are available, is very important for making informed product design and development decisions. The main objective of this paper is to propose the design, deployment, and use of an agent-based decision support platform, which is capable of proposing alternative additive manufacturing resources and process configurations to design engineers while reducing the number of communication steps among engineering teams and organizations. Different computer-aided systems are utilised and interfaced for automating the information exchange as well as for accelerating the overall product development process.
topic process planning
scheduling
design for additive manufacturing
multiple criteria
url https://www.mdpi.com/2076-3417/10/14/4953
work_keys_str_mv AT nikolaospapakostas anagentbaseddecisionsupportplatformforadditivemanufacturingapplications
AT anthonynewell anagentbaseddecisionsupportplatformforadditivemanufacturingapplications
AT abrahamgeorge anagentbaseddecisionsupportplatformforadditivemanufacturingapplications
AT nikolaospapakostas agentbaseddecisionsupportplatformforadditivemanufacturingapplications
AT anthonynewell agentbaseddecisionsupportplatformforadditivemanufacturingapplications
AT abrahamgeorge agentbaseddecisionsupportplatformforadditivemanufacturingapplications
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