Pricing Strategy

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Jorge A. Laval - One of the best experts on this subject based on the ideXlab platform.

  • Microsimulation-Based Real-Time Congestion Pricing Strategy for Managed Lane
    Transportation Research Record, 2016
    Co-Authors: Hyun W. Cho, Jorge A. Laval
    Abstract:

    A real-time toll that accurately reflects the congestion and delays of a system enhances a high-occupancy toll (HOT) lane system. This paper extends an existing system-optimal real-time congestion Pricing Strategy by relaxing the assumption of constant capacity, which allows one to implement the Strategy on a dynamic microsimulation of the HOT lane, whose capacity and that of general purpose lanes vary because of the weaving activity at the end of the HOT lane. It was found that the proposed model was superior in total delay savings, particularly when bottleneck capacities varied significantly. A clear linear relationship was also found between the Pricing coefficient and dimensionless delays and the Pricing coefficient and revenue. These findings strengthen the system-optimal linear toll Pricing Strategy and suggest that departments of transportation can implement practical toll systems that incorporate the real-time discharge rates of bottlenecks.

  • Microsimulation-Based Real-Time Congestion Pricing Strategy for Managed Lane
    2016
    Co-Authors: Hyun W. Cho, Jorge A. Laval
    Abstract:

    A real-time toll that accurately reflects the congestion and delays of a system enhance an HOT lane system. This paper extends an existing system-optimal real-time congestion Pricing Strategy by relaxing the assumption of constant capacity, which allows us to implement the Strategy on a dynamic micro-simulation of the HOT lane, whose capacity and that of general purpose lanes vary because of the weaving activity at the end of the HOT lane. The authors found that the proposed model is superior in terms of total delay savings, particularly when bottleneck capacities vary significantly. The authors also found a clear linear relationship between the Pricing coefficient and dimensionless delays and the Pricing coefficient and revenue. These findings strengthen the system-optimum linear toll Pricing Strategy and suggest that DOTs can implement practical toll systems that incorporate the real-time discharge rates of bottlenecks.

Bart De Schutter - One of the best experts on this subject based on the ideXlab platform.

  • ICCL - Pricing Intermodal Freight Transport Services: A Cost-Plus-Pricing Strategy
    Lecture Notes in Computer Science, 2015
    Co-Authors: Le Li, Rudy R Negenborn, Bart De Schutter
    Abstract:

    This paper investigates transport services Pricing problems faced by intermodal freight transport operators with fixed transport capacities in an intermodal freight transport network. We first present an optimal intermodal freight transport planning model to minimize the total transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract transport demands. A cost-plus-Pricing Strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of transport operators under different transport scenarios, i.e., self-transporting, subcontracting, and a combination of them. For the reference transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed Pricing Strategy.

  • Pricing intermodal freight transport services a cost plus Pricing Strategy
    International Conference on Computational Logistics, 2015
    Co-Authors: Le Li, Rudy R Negenborn, Bart De Schutter
    Abstract:

    This paper investigates transport services Pricing problems faced by intermodal freight transport operators with fixed transport capacities in an intermodal freight transport network. We first present an optimal intermodal freight transport planning model to minimize the total transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract transport demands. A cost-plus-Pricing Strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of transport operators under different transport scenarios, i.e., self-transporting, subcontracting, and a combination of them. For the reference transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed Pricing Strategy.

S. L. Chung - One of the best experts on this subject based on the ideXlab platform.

  • Pricing Strategy in an Arborescent Supply Chain System
    Lecture Notes in Computer Science, 2006
    Co-Authors: P. C. Yang, H. M. Wee, S. L. Chung
    Abstract:

    This study develops an optimal Pricing and replenishment policy in an arborescent (tree-like) supply chain system. Since it benefits the up-streams more than the down-streams when a producer, a distributor and multiple retailers are integrated, a Pricing Strategy with price reduction is derived to entice the down-streams to accept the incentive system with minimum total cost. Negotiation factors are incorporated to balance the cost saving between the players. A numerical example solved by GA (genetic algorithm) is provided to illustrate the theory and the problem-solving tool. The result shows that the percentage of total cost reduction incurred from the integration is quite impressive.

  • SEAL - Pricing Strategy in an arborescent supply chain system
    Lecture Notes in Computer Science, 2006
    Co-Authors: P. C. Yang, H. M. Wee, S. L. Chung
    Abstract:

    This study develops an optimal Pricing and replenishment policy in an arborescent (tree-like) supply chain system. Since it benefits the up-streams more than the down-streams when a producer, a distributor and multiple retailers are integrated, a Pricing Strategy with price reduction is derived to entice the down-streams to accept the incentive system with minimum total cost. Negotiation factors are incorporated to balance the cost saving between the players. A numerical example solved by GA (genetic algorithm) is provided to illustrate the theory and the problem-solving tool. The result shows that the percentage of total cost reduction incurred from the integration is quite impressive.

Hyun W. Cho - One of the best experts on this subject based on the ideXlab platform.

  • Microsimulation-Based Real-Time Congestion Pricing Strategy for Managed Lane
    Transportation Research Record, 2016
    Co-Authors: Hyun W. Cho, Jorge A. Laval
    Abstract:

    A real-time toll that accurately reflects the congestion and delays of a system enhances a high-occupancy toll (HOT) lane system. This paper extends an existing system-optimal real-time congestion Pricing Strategy by relaxing the assumption of constant capacity, which allows one to implement the Strategy on a dynamic microsimulation of the HOT lane, whose capacity and that of general purpose lanes vary because of the weaving activity at the end of the HOT lane. It was found that the proposed model was superior in total delay savings, particularly when bottleneck capacities varied significantly. A clear linear relationship was also found between the Pricing coefficient and dimensionless delays and the Pricing coefficient and revenue. These findings strengthen the system-optimal linear toll Pricing Strategy and suggest that departments of transportation can implement practical toll systems that incorporate the real-time discharge rates of bottlenecks.

  • Microsimulation-Based Real-Time Congestion Pricing Strategy for Managed Lane
    2016
    Co-Authors: Hyun W. Cho, Jorge A. Laval
    Abstract:

    A real-time toll that accurately reflects the congestion and delays of a system enhance an HOT lane system. This paper extends an existing system-optimal real-time congestion Pricing Strategy by relaxing the assumption of constant capacity, which allows us to implement the Strategy on a dynamic micro-simulation of the HOT lane, whose capacity and that of general purpose lanes vary because of the weaving activity at the end of the HOT lane. The authors found that the proposed model is superior in terms of total delay savings, particularly when bottleneck capacities vary significantly. The authors also found a clear linear relationship between the Pricing coefficient and dimensionless delays and the Pricing coefficient and revenue. These findings strengthen the system-optimum linear toll Pricing Strategy and suggest that DOTs can implement practical toll systems that incorporate the real-time discharge rates of bottlenecks.

Le Li - One of the best experts on this subject based on the ideXlab platform.

  • ICCL - Pricing Intermodal Freight Transport Services: A Cost-Plus-Pricing Strategy
    Lecture Notes in Computer Science, 2015
    Co-Authors: Le Li, Rudy R Negenborn, Bart De Schutter
    Abstract:

    This paper investigates transport services Pricing problems faced by intermodal freight transport operators with fixed transport capacities in an intermodal freight transport network. We first present an optimal intermodal freight transport planning model to minimize the total transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract transport demands. A cost-plus-Pricing Strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of transport operators under different transport scenarios, i.e., self-transporting, subcontracting, and a combination of them. For the reference transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed Pricing Strategy.

  • Pricing intermodal freight transport services a cost plus Pricing Strategy
    International Conference on Computational Logistics, 2015
    Co-Authors: Le Li, Rudy R Negenborn, Bart De Schutter
    Abstract:

    This paper investigates transport services Pricing problems faced by intermodal freight transport operators with fixed transport capacities in an intermodal freight transport network. We first present an optimal intermodal freight transport planning model to minimize the total transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract transport demands. A cost-plus-Pricing Strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of transport operators under different transport scenarios, i.e., self-transporting, subcontracting, and a combination of them. For the reference transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed Pricing Strategy.