Pagdadis, S (1990) An advanced technologies assessment strategy for construction automation. PhD thesis, University of Texas at Austin, USA.
Abstract
A strategy is developed for providing decision support in the assessment of advanced technologies for construction automation. Three conceptual models are designed to provide a framework for implementation of the assessment strategy. Each model framework supports a distinct phase of the strategy, namely; task identification, activity evaluation, and technology prescription. The Construction Activity Model is designed to simulate the construction process environment using a task taxonomy of activity sequences. The Activity Evaluation Model is a robust multi-criteria decision model. It is used to elicit construction knowledge by harnessing expert judgement related construction activity needs in the areas of productivity, safety, quality, and super-human handling. The Advanced Technologies Prescriptions Model is designed to provide the framework of a knowledge base, documenting advanced technology recommendations for construction activities. Component technologies in controls, information handling, locomotion, manipulation, and sensing, are independently modelled to characterize human/machine needs in a manually automated environment. The assessment strategy employs pattern-matching algorithms which identify knowledge patterns in the evaluation, and structure technology requirements to meet the needs of the activity environments. Object-oriented schemas are used to represent the knowledge in each of the models. The advanced technologies incorporated in the knowledge base are represented by production rules portraying component technology characteristics. An artificial intelligence open architecture environment is designed to aid the decision-maker by offering suggestive strategies for technologic implementation. The overall framework is implemented in the study of the automation of heavy industrial piping construction.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | O'Connor, J T |
| Uncontrolled Keywords: | artificial intelligence; automation; construction activities; construction activity; decision support; productivity; safety; taxonomy |
| Index terms: | prescription, strategy, productivity, decision support, artificial intelligence, implementation, construction process, knowledge base, activity sequence, taxonomy, automation, construction activity, expert judgement |
| Subjects: | risk assessment, information systems, decision analysis, data analysis and analytics, contractual arrangements, artificial intelligence, operations research, management, automation and robotics, building construction, construction operations, medical science and clinical practice |
| Topics: | Risk Management, Health and Safety, Time Control, Business Strategy, Procurement, Site Management, Research Practice, Digital Applications |
| Descriptive scope: | 3 PCA |
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