Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated

Note:

Abstract: Due to increasing demands on water-side handling efficiency of container terminals in recent years, there are large land-side peaks in truck arrivals and correspondingly long traffic jams at terminal gates. One possible solution to reduce these peaks is to introduce a truck appointment system. Research focuses on optimization methods that assign optimal time windows to trucking companies for their orders. However, the time windows booked in previous studies can usually no longer be changed, while in practice a more flexible approach is necessary. The exchange of time windows between orders within a trucking company is particularly common there. Therefore, this study compares the influence of different algorithms on the time window exchange for trucking companies of different sizes. In order to map the complex processes between the participants in the port, a discrete-event simulation model is used in which the respective exchange algorithms are integrated