01158436

Component

https://doi.org/10.3141/2168-08

http://scholar.google.com...llet&publication_year=2010

In real-time distribution operations, it is generally assumed that demand process parameters can be precisely estimated. However, this is rarely the case, particularly for products with a short life cycle. Experiments were done to investigate the performance of various strategies for online distribution operations under disruptions caused by surges in demand patterns at a particular facility. Two sets of strategies are considered: (a) optimization-based strategies, in which an off-line optimization problem is formulated and used to update routing and inventory allocation plans, and (b) fixed-tour strategies, in which a priori sets of routes to provide retailers with recourse actions depending on different degrees of real-time information capabilities for controlling the system are used. These are compared against two benchmark policies. Simulation results for two scenarios (high and low inventory holding cost products) show that strategies that use real-time information to update delivery plans systematically outperform strategies in which routes are not modified after the vehicle leaves the depot. The differences tend to be higher in scenarios of products with low inventory holding costs. For replanning strategies, the benefits of en route plan updates are significant, in particular the possibility of diverting the vehicle. In the case of fixed-tour strategies, the possibility of updating tour intervals provides potentially great savings. Replanning strategies systematically outperform fixed-tour strategies.

01226710

10-3645

English

pp 63-70

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160377

Print

Figures (3) ; References (17) ; Tables (2)

Freight transportation; Real time information; Routes and routing; Strategic planning

Demand surges; Disruptions

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 25 2010 11:51AM

• Algorithms to Quantify Impact of Congestion on Time-Dependent Real-World Urban Freight Distribution Networks
• Analysis of Fuel Ethanol Transportation Activity and Potential Distribution Constraints
• Building Resilience into Freight Transportation Systems: Actions for State Departments of Transportation
• Conceptual Framework and Trucking Application for Estimating Impact of Congestion on Freight
• Discrete Berth-Scheduling Problem: Toward a Unified Mathematical Formulation
• Exclusive Truck Facilities in Toronto, Ontario, Canada: Analysis of Truck and Automobile Demand
• Identifying and Characterizing Truck Bottlenecks in the U.S. Mississippi Valley Region
• Investigation of Inland Freight Transport Modal Choice in Greece: Parameters and Attributes Influencing Freight Mode Choice
• Large-Scale Agent-Based Combined Traffic Simulation of Private Cars and Commercial Vehicles
• Location Choice Model for Logistic Firms with Consideration of Spatial Effects
• Methodology for Deriving Cost Impact of Freight Bottlenecks on Trucking Industry
• Multimodal Network Analysis and Vulnerability Assessment of U.S.–Canadian Trade in Lake Erie Corridor
• Shipper Willingness to Pay to Increase Environmental Performance in Freight Transportation
• Transport and Logistics Demand: New Input from Large Surveys of Shippers in France
• Utility-Based Estimation of Probabilistic Port Hinterland for Networks of Intermodal Freight Transportation