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An expert system for site productivity improvement | |
Author | Kaming, Peter Fortunatus |
Call Number | AIT Thesis no.ST-92-5 |
Subject(s) | Expert systems (Computer science) Construction industry--Management |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Civil Engineering |
Publisher | Asian Institute of Technology |
Abstract | The past site productivity model has been reviewed, and a new model is introduced in this study. Based on the proposed model, an advisory expert system for improving site productivity has been created using the expert system shell EXSYS Multiple Criteria Weighting Technique, is adopted for developing the expert system. Knowledge bases is acquired from experts, textbooks, and current articles in journals. Knowledge representation uses IF - THEN - ELSE structure production system, and inference mechanism utilized backward chaining strategy. The expert system consists of four modules: Method and Technology, Site Management, Working Environment, and Motivation which can be run separately. Some issues regarding application of fuzzy set theory and multiple criteria weighting technique, multiple experts handling, validation expert system, and applying Analytical Hierarchical Process in rating the factors that affect site productivity were also examined. The current system need to be tested on site before it can be installed for daily use. |
Year | 1992 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ST-92-5 |
Type | Thesis |
School | School of Civil Engineering |
Department | Department of Civil and Infrastucture Engineering (DCIE) |
Academic Program/FoS | Structural Engineering (STE) /Former Name = Structural Engineering and Construction (ST) |
Chairperson(s) | Ogunlana, Stephen Olu. |
Examination Committee(s) | Worsalc Kanok-Nukulchai;Prapon Phasukyud |
Scholarship Donor(s) | University of Atmajaya Yogyakarta |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |