A CBR-based decision support system framework for construction supply chain risk management

Abstract

Risk management is an essential process of construction project planning. When a risk event occurs during project execution, the required actions are taken by project managers using their own experience and knowledge. While knowledge and experience gained in past projects is very useful in identifying and managing risks in a new project, such information resides primarily in project managers' minds and is seldom documented in a reusable form of information. A decision support system with a case-base of previously taken actions and a record of previous risk management plans can assist managers in risk management of construction supply chains in a new project. This paper suggests the framework of a decision support system adopting case-based reasoning approach; which can support decision makers in preventive as well as interceptive construction supply chain risk management.