The research proposes a simulation model combined with smart optimizer based onArtificial Intelligence techniques, in order to support service and maintenance of poolswithin Complex Systems, such as power plants or ve...The research proposes a simulation model combined with smart optimizer based onArtificial Intelligence techniques, in order to support service and maintenance of poolswithin Complex Systems, such as power plants or vessel/aircraft fleet.The authors propose an innovative methodology allowing the evaluation and theoptimization of service and maintenance policies in order to improve inventory management and scheduling operations within complex systems. This methodology is based onthe development of a simulator combined with an intelligent optimizer.The authors proposed a new metrics to evaluate the real performance of pool servicemanagement of the whole complex system and support the optimization processes.展开更多
The freight logistics includes all the processes needed to supply industry,retailers and wholesalers and final customers with goods.Such processes generate a flow of goods that,in the global supply chain,mainly relies...The freight logistics includes all the processes needed to supply industry,retailers and wholesalers and final customers with goods.Such processes generate a flow of goods that,in the global supply chain,mainly relies on the activities carried out within worldwide container terminals.In this paper,the authors present a simulation model of a real container terminal.After some preliminary analyses,the simulation model is first used with Design of Experiments and Analysis of Variance to investigate the effects of different resources allocations(i.e.,number of forklifts and tractors)and some parameters(i.e.,inter-arrival times,container unloading time)on the container terminal performances in terms of total number of handled containers per day.Then,based on the results achieved through the Design of Experiments and Analysis of Variance,the simulation model is used with genetic algorithms to carry out a range allocation optimization on berth assignment to incoming ships and number of tractors serving each quay crane.The aim of the optimization is the minimization of the average time spent by each ship in the port area(decreasing,as consequence,costs and increasing service level provided to final customers).展开更多
文摘The research proposes a simulation model combined with smart optimizer based onArtificial Intelligence techniques, in order to support service and maintenance of poolswithin Complex Systems, such as power plants or vessel/aircraft fleet.The authors propose an innovative methodology allowing the evaluation and theoptimization of service and maintenance policies in order to improve inventory management and scheduling operations within complex systems. This methodology is based onthe development of a simulator combined with an intelligent optimizer.The authors proposed a new metrics to evaluate the real performance of pool servicemanagement of the whole complex system and support the optimization processes.
文摘The freight logistics includes all the processes needed to supply industry,retailers and wholesalers and final customers with goods.Such processes generate a flow of goods that,in the global supply chain,mainly relies on the activities carried out within worldwide container terminals.In this paper,the authors present a simulation model of a real container terminal.After some preliminary analyses,the simulation model is first used with Design of Experiments and Analysis of Variance to investigate the effects of different resources allocations(i.e.,number of forklifts and tractors)and some parameters(i.e.,inter-arrival times,container unloading time)on the container terminal performances in terms of total number of handled containers per day.Then,based on the results achieved through the Design of Experiments and Analysis of Variance,the simulation model is used with genetic algorithms to carry out a range allocation optimization on berth assignment to incoming ships and number of tractors serving each quay crane.The aim of the optimization is the minimization of the average time spent by each ship in the port area(decreasing,as consequence,costs and increasing service level provided to final customers).
