Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Simulation-Based Optimisation for Contractors in Precast Concrete Projects
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Industrilized and sustainable construction.ORCID iD: 0000-0002-4695-5369
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Purpose– This paper aims to provide decision support for precast concrete contractors about both precastconcrete supply chain strategies and construction configurations.

Design/Methodology/Approach– This paper proposes a simulation-based optimisation for supplychain and construction (SOSC) during the planning phase of PC building projects. The discrete eventsimulation is used to capture the characteristics of supply chain and construction processes, and calculate construction objectives under different plans. Particle swarm optimisation is combined with simulation tofind optimal supply chain strategies and construction configurations.

Findings– The efficiency of SOSC is compared with the parametric simulation approach. Over 70 per centof time and effort used to simulate and compare alternative plans is saved owing to SOSC.

Research Limitations/Implications– Building simulation model costs a lot of time and effort. The data requirement of the proposed method is high.

Practical Implications– The proposed SOSC approach can provide decision support for PC contractorsby optimising supply chain strategies and construction configurations.

Originality/Value– This paper has two contributions: one is in providing a decision support tool SOSC tooptimise both supply chain strategies and construction configurations, while the other is in building aprototype of SOSC and testing it in a case study.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019. Vol. 2, p. 137-145
Keywords [en]
Precast concrete, Supply chain, Building construction, Discrete event simulation, Particle swarm optimization, Simulation-based optimization
National Category
Construction Management
Research subject
Construction Management and Building Technology
Identifiers
URN: urn:nbn:se:ltu:diva-74055DOI: 10.1108/S2516-285320190000002019OAI: oai:DiVA.org:ltu-74055DiVA, id: diva2:1318302
Conference
10th Nordic Conference on Construction Economics and Organization, 7-8 May 2019, Tallinn, Estonia
Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2019-05-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Lu, Weizhuo

Search in DiVA

By author/editor
Lu, Weizhuo
By organisation
Industrilized and sustainable construction
Construction Management

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 94 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf