The evaluation of project plans in construction is seen to be an important task which will become more so as project complexity increases and computers become used more and more, initially as aids to planners and ultimately as automatic generators of plans.This paper discusses automated plan evaluation, and in particular the evaluation of some financial aspects of a project contained in different models of a project: the Bill of Quantities and a work activity plan. It introduces a technique for comparing these models and then for automating the budgeting of construction. Discussion of some results and problems in the work so far follows.
Construction schedules exist in many forms to serve many purposes. They are prepared by various means by different individuals either manually or aided by computer software. Work which is underway to automate the production of schedules is now being supplemented by the development of an evaluation package for general usage . Outlined in this paper are aspects of a research project which uses artificial intelligence techniques for the purpose of automating the evaluation of construction schedules. In particular the early stages of the project, which recognise and utilise the logic in schedules, are detailed. Different classes of logic are identified and a general activity logic model is introduced. Techniques for interpreting activity names and for building and using knowledge bases are explained and illustrated with simple examples. The application of the early work to the objective of automated schedule evaluation is discussed.
Today's construction robots are largely machines which simply carry out a construction task . Fully robotised construction must include automation and integration of the numerous management functions together with robotisation of the construction task. Important management functions, including planning, scheduling and budgeting , are discussed with a view to their automation using powerful microcomputers . These functions are shown to be suitable for automation using artificial intelligence techniques and the subsequent integration of these automated functions into a robotised construction project system is proposed.
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