TY - GEN
T1 - Analysing costs of material acquisition for construction projects
AU - Fang, Yuan
AU - Ng, S. Thomas
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2007
Y1 - 2007
N2 - Materials are important in every construction project as they attribute to a significant proportion of total costs. Because of this, planners and managers should carefully plan and control the ordering, distribution and storage of materials, i.e. the logistic process. Among various available project data, the cost of material acquisition can serve as an indicator to show the efficiency of logistic process. The research devises a material management tool by reference to the acquisition cost. In the proposed model, the delivery of materials is linked to the construction schedule to establish the determinant variables affecting the material acquisition costs viz. the delivery cost, storage cost and direct cost of material. Working start time and distribution times are selected as the determinant variables. With GAs (genetic algorithms) tools as simulation method, it is found that just in time delivery and a suitable construction schedule can lead to lower material acquisition costs.
AB - Materials are important in every construction project as they attribute to a significant proportion of total costs. Because of this, planners and managers should carefully plan and control the ordering, distribution and storage of materials, i.e. the logistic process. Among various available project data, the cost of material acquisition can serve as an indicator to show the efficiency of logistic process. The research devises a material management tool by reference to the acquisition cost. In the proposed model, the delivery of materials is linked to the construction schedule to establish the determinant variables affecting the material acquisition costs viz. the delivery cost, storage cost and direct cost of material. Working start time and distribution times are selected as the determinant variables. With GAs (genetic algorithms) tools as simulation method, it is found that just in time delivery and a suitable construction schedule can lead to lower material acquisition costs.
KW - Acquisition cost
KW - Construction material
KW - Genetic algorithms
KW - Material logistics
UR - https://www.scopus.com/pages/publications/84877632270
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84877632270&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780415460590
T3 - CME 2007 Conference - Construction Management and Economics: 'Past, Present and Future'
SP - 765
EP - 772
BT - CME 2007 Conference - Construction Management and Economics: 'Past, Present and Future'
T2 - 25th Inaugural Construction Management and Economics: 'Past, Present and Future' Conference, CME 2007
Y2 - 16 July 2007 through 18 July 2007
ER -