File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1108/ECAM-09-2018-0386
- Scopus: eid_2-s2.0-85068045476
- WOS: WOS:000487279200007
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Genetic algorithm for determining the construction logistics of precast components
Title | Genetic algorithm for determining the construction logistics of precast components |
---|---|
Authors | |
Keywords | Construction industry Cost accounting Economic and social effects Genetic algorithms Project management |
Issue Date | 2019 |
Publisher | Emerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/ecam.htm |
Citation | Engineering, Construction and Architectural Management, 2019, v. 26 n. 10, p. 2289-2306 How to Cite? |
Abstract | Purpose: Precast construction has become increasingly popular in the construction industry. Nonetheless, the logistics of construction materials has been a neglected topic, and this neglect has resulted in delays and cost overruns. Careful planning that considers all of the factors affecting construction logistics can ensure project success. The purpose of this paper is to examine the potential for using genetic algorithms (GAs) to derive logistics plans for materials production, supply and consumption. Design/methodology/approach: The proposed GA model is based on the logistics of precast components from the supplier’s production yard, to the intermediate warehouse and then to the construction site. Using an activity-based costing (ABC) approach, the model not only considers the project schedule, but also takes into account the production and delivery schedule and storage of materials. Findings: The results show that GAs are suitable for solving time-cost trade-off problems. The optimization process helps to identify the activity start time during construction and the delivery frequency that will result in the minimal cost. What-if scenarios can be introduced to examine the effects of changes in construction logistics on project outcomes. Originality/value: This paper presents a method for using GAs and an ABC approach to support construction logistics planning decisions. It will help construction planners and materials suppliers to establish material consumption and delivery schedules, rather than relying on subjective judgment. © 2019, Emerald Publishing Limited. |
Persistent Identifier | http://hdl.handle.net/10722/286189 |
ISSN | 2023 Impact Factor: 3.6 2023 SCImago Journal Rankings: 0.896 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fang, Y | - |
dc.contributor.author | Ng, ST | - |
dc.date.accessioned | 2020-08-31T07:00:24Z | - |
dc.date.available | 2020-08-31T07:00:24Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Engineering, Construction and Architectural Management, 2019, v. 26 n. 10, p. 2289-2306 | - |
dc.identifier.issn | 0969-9988 | - |
dc.identifier.uri | http://hdl.handle.net/10722/286189 | - |
dc.description.abstract | Purpose: Precast construction has become increasingly popular in the construction industry. Nonetheless, the logistics of construction materials has been a neglected topic, and this neglect has resulted in delays and cost overruns. Careful planning that considers all of the factors affecting construction logistics can ensure project success. The purpose of this paper is to examine the potential for using genetic algorithms (GAs) to derive logistics plans for materials production, supply and consumption. Design/methodology/approach: The proposed GA model is based on the logistics of precast components from the supplier’s production yard, to the intermediate warehouse and then to the construction site. Using an activity-based costing (ABC) approach, the model not only considers the project schedule, but also takes into account the production and delivery schedule and storage of materials. Findings: The results show that GAs are suitable for solving time-cost trade-off problems. The optimization process helps to identify the activity start time during construction and the delivery frequency that will result in the minimal cost. What-if scenarios can be introduced to examine the effects of changes in construction logistics on project outcomes. Originality/value: This paper presents a method for using GAs and an ABC approach to support construction logistics planning decisions. It will help construction planners and materials suppliers to establish material consumption and delivery schedules, rather than relying on subjective judgment. © 2019, Emerald Publishing Limited. | - |
dc.language | eng | - |
dc.publisher | Emerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/ecam.htm | - |
dc.relation.ispartof | Engineering, Construction and Architectural Management | - |
dc.rights | © [insert the copyright line of the published article]. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher. | - |
dc.subject | Construction industry | - |
dc.subject | Cost accounting | - |
dc.subject | Economic and social effects | - |
dc.subject | Genetic algorithms | - |
dc.subject | Project management | - |
dc.title | Genetic algorithm for determining the construction logistics of precast components | - |
dc.type | Article | - |
dc.identifier.email | Ng, ST: tstng@hku.hk | - |
dc.identifier.authority | Ng, ST=rp00158 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1108/ECAM-09-2018-0386 | - |
dc.identifier.scopus | eid_2-s2.0-85068045476 | - |
dc.identifier.hkuros | 313454 | - |
dc.identifier.volume | 26 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 2289 | - |
dc.identifier.epage | 2306 | - |
dc.identifier.isi | WOS:000487279200007 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0969-9988 | - |