ANNI MODELING AND SIMULATION IN PROJECT LOGISTICS BIDDING

Procurement plays a crucial role in logistics project management, while bidding is an essential stage during this process. Based on the need of project procurement, bidding is a decisive work which calls for seeking, analysis and comparison to ensure the supplier and high quality of the logistics project. Those subjective factors in the bid evaluation process--the contractor’s excessive promise in the negotiation stage and owner’s subjective risks--have significant influence on the quality of logistics tendering and bidding. Thus it is quite worthwhile to bring the ideas founded on the artificial neural network of immunity (ANNI) into the project bidding stage. Established on the logistics project bidding evaluation nerve network system, this article puts forward the simulation model of the ANNI system and the method of process simulation through the analysis of the project procurement bidding evaluating process based on an immune algorithm. By identifying the target of synthetic immunity, it realizes active control over bid evaluation risks. Combined with a bidding case of a project, the issue also proves the feasibility of the method in logistics project management.