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- Publisher Website: 10.1007/s11276-018-1894-x
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Article: Simulation-based optimization for material handling systems in manufacturing and distribution industries
Title | Simulation-based optimization for material handling systems in manufacturing and distribution industries |
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Authors | |
Keywords | Artificial immune system Artificial intelligence Material handling system Optimization Simulation |
Issue Date | 2020 |
Publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1022-0038 |
Citation | Wireless Networks, 2020, v. 26 n. 7, p. 4839-4860 How to Cite? |
Abstract | Faced with rising customer expectations, shortening product life cycle and increasing number of competitors, many companies are paying increasing attention to streamline their operations with a view to improving the timeliness in response to changes and demands in their supply chains. Material handling is a vital element of the supply chains, which involves a variety of operations including the movement, storage, protection and control of materials and products throughout the processes of manufacturing and distribution. Having efficient material handling systems is of great importance to these industries for maintaining and facilitating a continuous flow of materials through the workplace and guaranteeing that required materials are available when needed. In this paper, we apply a simulation-based optimization framework for solving several real-life single objective and multi-objective optimization problems. The results reveal that the simulation-based optimization framework could become an effective decision making tool for solving both single and multi-objective optimization problems in manufacturing and distribution industries and help management to find near-optimal system parameters to fulfill important objectives. |
Persistent Identifier | http://hdl.handle.net/10722/272203 |
ISSN | 2023 Impact Factor: 2.1 2023 SCImago Journal Rankings: 0.659 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Leung, CSK | - |
dc.contributor.author | Lau, HYK | - |
dc.date.accessioned | 2019-07-20T10:37:41Z | - |
dc.date.available | 2019-07-20T10:37:41Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Wireless Networks, 2020, v. 26 n. 7, p. 4839-4860 | - |
dc.identifier.issn | 1022-0038 | - |
dc.identifier.uri | http://hdl.handle.net/10722/272203 | - |
dc.description.abstract | Faced with rising customer expectations, shortening product life cycle and increasing number of competitors, many companies are paying increasing attention to streamline their operations with a view to improving the timeliness in response to changes and demands in their supply chains. Material handling is a vital element of the supply chains, which involves a variety of operations including the movement, storage, protection and control of materials and products throughout the processes of manufacturing and distribution. Having efficient material handling systems is of great importance to these industries for maintaining and facilitating a continuous flow of materials through the workplace and guaranteeing that required materials are available when needed. In this paper, we apply a simulation-based optimization framework for solving several real-life single objective and multi-objective optimization problems. The results reveal that the simulation-based optimization framework could become an effective decision making tool for solving both single and multi-objective optimization problems in manufacturing and distribution industries and help management to find near-optimal system parameters to fulfill important objectives. | - |
dc.language | eng | - |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1022-0038 | - |
dc.relation.ispartof | Wireless Networks | - |
dc.subject | Artificial immune system | - |
dc.subject | Artificial intelligence | - |
dc.subject | Material handling system | - |
dc.subject | Optimization | - |
dc.subject | Simulation | - |
dc.title | Simulation-based optimization for material handling systems in manufacturing and distribution industries | - |
dc.type | Article | - |
dc.identifier.email | Lau, HYK: hyklau@hku.hk | - |
dc.identifier.authority | Lau, HYK=rp00137 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11276-018-1894-x | - |
dc.identifier.scopus | eid_2-s2.0-85057621146 | - |
dc.identifier.hkuros | 298268 | - |
dc.identifier.volume | 26 | - |
dc.identifier.issue | 7 | - |
dc.identifier.spage | 4839 | - |
dc.identifier.epage | 4860 | - |
dc.identifier.isi | WOS:000563175500009 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1022-0038 | - |