In order to cope with the changes of container terminal situation in these days, many simulation studies for container terminal have been accomplished. But previous simulation studies using simulation language have limitations in model representation and difficulties in modeling of large scaled container terminal system. To make these problems better, this paper addresses an object-oriented simulation of container terminal system using a DEVS formalism. The DEVS(Discrete Event System Specification) formalism, developed by Zeigler, supports specification of discrete event system in a hierarchical and modular manner. The formalism provides a mathematical basis for studying discrete event systems with better understood and sounder semantics. In a step of system modeling, a DEVS formalism aims at the exact system modeling that has a basis of semantics and utilizing the object-oriented manner can flexibly cope with the changes of system environment. In this study a model is developed and verified through the simulation of some alternatives.

For the purpose of analyzing the influence of the recent environmental changes of container logistics system in container terminal, the simulation model of container logistics system on BCTOC is developed in this paper. The simulation model is accomplished by the AweSim simulation language, and the several data which have been used in simulation gained through spot research and basic statistic analysis using the first half of 1998 electronic data in BCTOC. The results of this study are as follows; (1) In the case of BCTOC, the decreasing of container volumes is observed during the first half of 1998 compare with that of 1997. (2) In the container handling service market, the monopolistic market system in the past rapidly diverts to the competition market system from now. (3) From the simulation results, the improving of container logistics system is observed. (4) Because of these results, BCTOC will come to strengthen customer service and competitive power through starting On-Dock service system and operating the team of customer management in the long term.

For the purpose of building the simulation model on cargo handling capacity in container terminal we composed a model of container logistics system which has a 4 subsystem; cargo handling transportation storage and gate complex system. Several data are used in simulation which were gained through a field study and a basic statistic analysis of raw data on BCTOC from January to Jane in 1998. The results of this study are as follows; First average available ratios of each subsystems were 50% for G/C, 57.5% for Y/T, 56% for storage system and 50% for gate complex. And there were no subsystems occurring specific bottleneck. Second comparing the results of simulation to the results of basic statistics analysis we can verifying the suitability of this simulation model. Third comparing the results of this study to the results of existed similar study in 1996, we were able to confirm the changes of container logistics system in BCTOC.