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Article: Modeling construction material logistics system with stochastic Petri nets

TitleModeling construction material logistics system with stochastic Petri nets
Authors
KeywordsConstruction materials
Materials management
Modelling
Stochastic modelling
Issue Date2008
PublisherEmerald Group Publishing Limited.
Citation
Construction Innovation: Information, Process, Management, 2008, v. 8 n. 1, p. 46-60 How to Cite?
AbstractPurpose – The purpose of this paper is to examine the potential of applying Petri nets to improve construction material logistics analysis and modelling. Design/methodology/approach – The characteristics of construction logistics are unveiled by analysing the existing practices of logistics management. In views of the dynamic nature of construction logistics problem, a stochastic Petri nets (SPNs) approach is proposed to tackle the time-evolution property. Using a simulation package called PetriTool™ a simulation model is developed. Finally, a case example is applied to illustrate the way in which SPNs is used for analysing and modelling construction material logistics problems. Findings – The results indicate that the impacts triggered by variations in delivery lead-time and changes in delivery quantities can be approximated thereby facilitating decision makers to devise a more reliable and optimal materials management plan for construction projects. Research limitations/implications – The complex routing patterns in demand analysis and materials procurement methods that results in the enlarged supply chains have not been considered in this paper. Practical implications – The lack of a simple but powerful formalism to analyse and model the decision process under a dynamic environment hinders the implementation of efficient logistics systems in the construction industry. The SPNs model presented in this paper can support planners and managers in making construction logistics management decisions under dynamic environment. Originality/value – This paper demonstrates that the time-based SPNs can offer more enriched solutions especially when modelling the time-evolution behaviours of construction logistics.
Persistent Identifierhttp://hdl.handle.net/10722/71137
ISSN
2014 SCImago Journal Rankings: 0.647

 

DC FieldValueLanguage
dc.contributor.authorNg, TSTen_HK
dc.contributor.authorFang, Yen_HK
dc.contributor.authorUgwu, OOen_HK
dc.date.accessioned2010-09-06T06:29:14Z-
dc.date.available2010-09-06T06:29:14Z-
dc.date.issued2008en_HK
dc.identifier.citationConstruction Innovation: Information, Process, Management, 2008, v. 8 n. 1, p. 46-60en_HK
dc.identifier.issn1471-4175en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71137-
dc.description.abstractPurpose – The purpose of this paper is to examine the potential of applying Petri nets to improve construction material logistics analysis and modelling. Design/methodology/approach – The characteristics of construction logistics are unveiled by analysing the existing practices of logistics management. In views of the dynamic nature of construction logistics problem, a stochastic Petri nets (SPNs) approach is proposed to tackle the time-evolution property. Using a simulation package called PetriTool™ a simulation model is developed. Finally, a case example is applied to illustrate the way in which SPNs is used for analysing and modelling construction material logistics problems. Findings – The results indicate that the impacts triggered by variations in delivery lead-time and changes in delivery quantities can be approximated thereby facilitating decision makers to devise a more reliable and optimal materials management plan for construction projects. Research limitations/implications – The complex routing patterns in demand analysis and materials procurement methods that results in the enlarged supply chains have not been considered in this paper. Practical implications – The lack of a simple but powerful formalism to analyse and model the decision process under a dynamic environment hinders the implementation of efficient logistics systems in the construction industry. The SPNs model presented in this paper can support planners and managers in making construction logistics management decisions under dynamic environment. Originality/value – This paper demonstrates that the time-based SPNs can offer more enriched solutions especially when modelling the time-evolution behaviours of construction logistics.-
dc.languageengen_HK
dc.publisherEmerald Group Publishing Limited.en_HK
dc.relation.ispartofConstruction Innovation: Information, Process, Managementen_HK
dc.subjectConstruction materials-
dc.subjectMaterials management-
dc.subjectModelling-
dc.subjectStochastic modelling-
dc.titleModeling construction material logistics system with stochastic Petri netsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1471-4175&volume=8&issue=1&spage=46&epage=60&date=2008&atitle=Modeling+construction+material+logistics+system+with+stochastic+Petri+netsen_HK
dc.identifier.emailNg, TST: tstng@hkucc.hku.hken_HK
dc.identifier.authorityNg, TST=rp00158en_HK
dc.identifier.doi10.1108/14714170810846512-
dc.identifier.hkuros142804en_HK
dc.identifier.volume8-
dc.identifier.issue1-
dc.identifier.spage46-
dc.identifier.epage60-

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