Chun-Chih Chiu

Airport baggage handling system simulation modeling using SysML

In recent years, the number of passengers visiting the major international airport, Taiwan Taoyuan International Airport (TPE), has increased dramatically. The passenger traffic has gone beyond the capacity of the airport as it was constructed for. One important infrastructure in the airport is the baggage handling system which consists of a set of conveyors that transport checked baggage to the baggage unloading zones or the buffer zones. How to efficiently operate the baggage handling system is of critical importance. Simulation models are widely used to evaluate the system performances and to compare alternatives. However, modeling and analyzing the baggage handling system is not straightforward. However, the means of modeling and analyzing the baggage handling system is not in good form. The simulation model itself is a black box, making the validation of a model a challenge. In this study, we propose to use the formal modeling language, System Modeling Language (SysML), to model the baggage handling system. System Modeling Language provides a formal representation of the system and is able to enhance the validation of the system. We also use the SysML model to generate the corresponding simulation models. We compare different control rules and report the analysis result.

A hybrid particle swarm optimization with local search for stochastic resource allocation problem

Discrete and stochastic resource allocation problems are difficult to solve because of the combinatorial explosion of feasible search space. Resource management is important area and a significant challenge is encountered when considering the relationship between uncertainty factors and inputs and outputs of processes in the service and manufacturing systems. These problems are unavailable in closed-form expressions for objective function. In this paper, we propose

Novel hybrid approach with elite group optimal computing budget allocation for the stochastic multimodal problem

\hbox {PSO}_{\mathrm{OTL}}

A Simulation-Based Analysis for Inter Release Problem in Airport Baggage Handling Systems

PSOOTL, a new approach of the hybrid simulation optimization structure, to achieve a near optimal solution with few simulation replications. The basic search algorithm of particle swarm optimization (PSO) is applied for proper exploration and exploitation. Optimal computing budget allocation combined with PSO is used to reduce simulation replications and provide reliable evaluations and identifications for ranking particles of the PSO procedure. Two-sample t tests were used to reserve good particles and maintain the diversity of the swarm. Finally, trapping in local optimum in the design space was overcome by using the local search method to generate new diverse particles when a similar particle exists in the swarm. This study proposed intelligent manufacturing technology, called the

A novel optimal replication allocation strategy for particle swarm optimization algorithms applied to simulation optimization problem

\hbox {PSO}_{\mathrm{OTL}}

A Simulation with PSO Approach for Semiconductor Back-End Assembly

PSOOTL, and compared it with four algorithms. The results obtained demonstrate the superiority of