Sun, P and Li, K (2018) Methodology – A Review of Intelligent Manufacturing Scope, Strategy and Simulation. In: Recent Advances in Intelligent Manufacturing. International Conference on Intelligent Manufacturing and Internet of Things (IMIOT) & Intelligent Computing for Sustainable Energy and Environment (ICSEE) 2018, 21-23 Sep 2018, Chongqing, China. Springer, Singapore , pp. 343-359. ISBN 9789811323959
Abstract
This paper presents a critical review of some existing modelling, control and optimization techniques for energy saving, carbon emission reduction in manufacturing processes. The study on various production issues reveals different levels of intelligent manufacturing approaches. Then methods and strategies to tackle the sustainability issues in manufacturing are summarized. Modelling tools such as discrete (dynamic) event system (DES/DEDS) and agent-based modelling/simulation (ABS) approaches are reviewed from the production planning and control prospective. These approaches will provide some guidelines for the development of advanced factory modelling, resource flow analysis and assisting the identification of improvement potentials, in order to achieve more sustainable manufacturing.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature Singapore Pte Ltd. 2018. This is a post-peer-review, pre-copyedit version of an article published in Recent Advances in Intelligent Manufacturing. The final authenticated version is available online at: https://doi.org/10.1007/978-981-13-2396-6_33. |
Keywords: | Intelligent Manufacturing; Production Planning; Scheduling; Agent-based modelling; Discrete Event System |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Aug 2018 10:24 |
Last Modified: | 20 Oct 2018 01:30 |
Status: | Published |
Publisher: | Springer, Singapore |
Identification Number: | 10.1007/978-981-13-2396-6_33 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134417 |