Al-Bizri, S (1995) Design management plan generator, knowledge-based system for planning the design processes in the construction industry. PhD thesis, University of Reading, UK.
Abstract
The objective of the research was to create a rational tool to aid the planning of the design process. The tool is a knowledge-based system which uses the knowledge acquired from investigating the structure of detail design decisions of architects and engineers together with the interfaces with construction. The hypothesis upon which the tool and the knowledge base has been formed is that there are patterns of information transfers between designers which can be identified as a network. This network can form underlying logic of a planning system. Design decisions are controlled by the selection and constraints produced by building elements. Each element implies a fundamental sequence of design activities. When solving a specific design problem, a selected set from this fundamental sequence of activities will be adjusted to satisfy the requirements of the particular design problem. The constraints control the selection of the fundamental sequence in two different directions; tailoring the design elements to a specific building and modifying those elements to fit with each other. In practice, it is difficult to identify the network as its complexity increases as the number of different elements increases. However, by selecting two different design elements and studying the constraints which each of them impose on the other, it proposed that the complex network of design decisions can be constructed from the sub-networks. The main approach to this problem is to compile a prototype of the knowledge base of the sub-nets of building elements. The first implied fundamental sequence which can be operated on by requirements of a specific building. Existing concepts based on Case-Based Reasoning have been evaluated but found to be unsatisfactory in dealing with the variety and complexity of modem buildings. The new approach is based on the development of the inherent design sequence of each technology. A proof-of-concept expert system has been built together with a test knowledge base for precast concrete cladding. The system and its knowledge base have been evaluated by specialist designers from the precast concrete cladding industry. As a result, a sophisticated knowledge-based system has been created, which explores many aspects of Al technology. Development of the system into a useful tool will require the close cooperation with the experts in the construction industry to obtain the necessary expertise and literature to build the knowledge base and to test a working prototype. This research has established a sound base from which to develop a knowledge-based system which can be used to educate students and professionals in the structure of the detail design operations. Secondly it will provide a tool for designers and design managers to plan and manage the design operations in detail, which is a major need in the construction industry.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | complexity; design decision; expert system; precast concrete; architects; designer; professional; design process; reasoning; case-based reasoning; knowledge-based system |
| Index terms: | prototype, design process, case-based reasoning, knowledge base, design manager, reasoning, design decision, complexity, cooperation, expert system, design management, designer, engineer, knowledge-based system, specialist designer, cladding, construction industry, precast concrete, architect |
| Subjects: | practitioner, design methods, profession, artificial intelligence, building materials, modelling and simulation, psychology, design process, design practice, information systems, systems engineering, industry analysis, cognitive psychology, data management |
| Topics: | Digital Applications, Design Practice, Organizational Design, Engineering Principles, Construction Materials, Research Practice, Roles and Professions |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here