Ph.D Thesis

Ph.D StudentBleiberg Tamar
SubjectA Model for Enhancing the Collaboration among the
Design Participants in the Process of Computer
Aided Collaborative Design
DepartmentDepartment of Architecture and Town Planning
Supervisor PROFESSOR EMERITUS Edna Shaviv


Design is a very complex process, where the design variables are discussed in different phases. The group of participants and the way they regard the relevant variables may vary between projects. One of the major problems in a multi-participant design is the possibility of conflicts which can arise by opposing demands of different consultants. In most cases, decisions are made in a zero-sum approach (one wins and one loses). The basic assumption of this work is that win-win solutions can be achieved, if one sees the whole picture in time, and if tradeoffs with other design variables can be found. This could be done if at any moment of the design process, one should be able to know:

  1. Who one should consult with (consultants)
  2. When (in what design phase)
  3. What about (which design variables).

For this purpose, a computerized model CoED (Collaborative Enhanced Design) was developed. This model creates a design process unique to a specific group of participants, which illuminates the intersecting issues between them, thus creating a controlled environment to deal with possible conflicts. It provides other means of controlling conflicts such as identifying possible tradeoffs from the point of view of every participant. The model uses decompositions of the relationships between the designers and the design variables to create work groups and tradeoff groups. In the work groups, the most relevant variables at a specific point of time are discussed by the designers who regard them as most important. The tradeoff groups, on the other hand, may assist each designer to find creative solutions to possible conflicts. It is a flexible model which allows the addition or subtraction of participants and variables relevant to the project at any time. The algorithm for the decompositions is based on Genetic Algorithm, which allows using the same algorithm for different decompositions and matrices, and deals with the changing environment of the design process.