A platform for research: civil engineering, architecture and urbanism
Methods and data used by large building contractors in preparing tenders
The process of submitting lump sum competitive tenders continues to be commonly practised by UK building contractors. Most tenders are based on a detailed analysis of project details and a detailed costing of parts of the work to be done. Considerable resources are being devoted to the preparation offenders in this way. Any means of improving the efficiency of this process would be very welcome to contractors and to the construction industry as a whole. This paper presents a documentation of methods offender preparation in the form of a model of the tasks executed. This model is a description of the process in its most complex possible form as currently executed and does not attempt to portray the tendering process as it is typically performed. Variations within the model have beenfound to occur between individual contractors and for alternative means of procurement as well as for differences in project complexity. However, the model is generally representative of the means by which tenders are prepared by large building contractors in the UK. The model has been produced with the aim of documenting items of data that are used. This has been done using techniques of structured systems analysis including data flow diagrams and a data dictionary. Resulting from this analysis is a definition of data potentially used by building contractors in tendering. This definition gives a better opportunity for the more purposeful and complete application of information systems to the tendering process as a means of improving its efficiency. The paper therefore provides a specification of data to be used in the development of information management systems to support building contractors' tendering.
Methods and data used by large building contractors in preparing tenders
The process of submitting lump sum competitive tenders continues to be commonly practised by UK building contractors. Most tenders are based on a detailed analysis of project details and a detailed costing of parts of the work to be done. Considerable resources are being devoted to the preparation offenders in this way. Any means of improving the efficiency of this process would be very welcome to contractors and to the construction industry as a whole. This paper presents a documentation of methods offender preparation in the form of a model of the tasks executed. This model is a description of the process in its most complex possible form as currently executed and does not attempt to portray the tendering process as it is typically performed. Variations within the model have beenfound to occur between individual contractors and for alternative means of procurement as well as for differences in project complexity. However, the model is generally representative of the means by which tenders are prepared by large building contractors in the UK. The model has been produced with the aim of documenting items of data that are used. This has been done using techniques of structured systems analysis including data flow diagrams and a data dictionary. Resulting from this analysis is a definition of data potentially used by building contractors in tendering. This definition gives a better opportunity for the more purposeful and complete application of information systems to the tendering process as a means of improving its efficiency. The paper therefore provides a specification of data to be used in the development of information management systems to support building contractors' tendering.
Methods and data used by large building contractors in preparing tenders
Betts, Martin (author)
Construction Management and Economics ; 8 ; 399-414
1990-01-01
16 pages
Article (Journal)
Electronic Resource
English
Factors Influencing Building Contractors' Pricing for Time-Related Risks in Tenders
British Library Online Contents | 2009
|Factors Influencing Building Contractors' Pricing for Time-Related Risks in Tenders
Online Contents | 2009
|Online Contents | 2008
Online Contents | 2008
Online Contents | 2008