Optimum Design for Port Logistics System for Bulk Cargo with Fuzzy Set Theory.

Abstract

This paper describes simulation and optimum design for system configuration on port logistics system for bulk cargo. In order to realize the multi-objective optimization on economic result, operational ability and yard utility for port logistics system, evaluation criteria are established by the following three objective functions: (1) total net present value of system; (2) average time for ship staying in port; (3) rate of yard utility. The fuzzy set theory is applied to deal with the uncertainty in human decision and to determine the reasonable Pareto optimal solution with designed degree of human preference satisfaction by tradeoff for individual objective function. Therefore, the fuzzy multiple objective optimization model with fuzzy objective functions and constraint conditions is set up. An actual case is examined to confirm the validity and reliability of the model, where the properties of objective functions are discussed. Furthermore, the sensitivity of the optimal result to system environmental parameters is analyzed.