A microcomputer based decision support tool for assigning dock doors in freight yards
Proceedings of the 12th annual conference on Computers and industrial engineering
New branch-and-bound rules for linear bilevel programming
SIAM Journal on Scientific and Statistical Computing
An optimal solution to a dock door assignment problem
Proceedings of the 14th annual conference on Computers and industrial engineering
Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach
Computers and Industrial Engineering - Supply chain management
The Effects of Trailer Scheduling on the Layout of Freight Terminals
Transportation Science
Reducing Labor Costs in an LTL Crossdocking Terminal
Operations Research
The Best Shape for a Crossdock
Transportation Science
Vehicle routing scheduling for cross-docking in the supply chain
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
A dock-door assignment problem for the Korean mail distribution center
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
Positioning of goods in a cross-docking environment
Computers and Industrial Engineering
Computers and Industrial Engineering
Resolution method for mixed integer bi-level linear problems based on decomposition technique
Journal of Global Optimization
Discussion of Cross Docking Design in Modern Logistics Systems
CSIE '09 Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 03
Truck scheduling at zero-inventory cross docking terminals
Computers and Operations Research
The parcel hub scheduling problem: A simulation-based solution approach
Computers and Industrial Engineering
Multiple crossdocks with inventory and time windows
Computers and Operations Research
Scheduling trucks in cross-docking systems: Robust meta-heuristics
Computers and Industrial Engineering
Scheduling cross docking operations under full, partial and no information on inbound arrivals
Computers and Operations Research
A bounded dynamic programming approach to schedule operations in a cross docking platform
Computers and Industrial Engineering
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
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This paper studies scheduling of inbound trucks at the inbound doors of a cross-dock facility under truck arrival time uncertainty. Arrival time of an inbound truck is considered to be unknown. In particular, the cross-dock operator only acknowledges the arrival time window of each truck, i.e., the lower and upper bounds of any inbound truck's arrival time. In absence of any additional information, the cross-dock operator may use three approaches to determine a scheduling strategy: deterministic approach (which assumes expected truck arrival times are equal to their mid-arrival time windows), pessimistic approach (which assumes the worst truck arrivals will be realized), and optimistic approach (which assumes the best truck arrivals will be realized). In this paper, a bi-level optimization problem is formulated for pessimistic and optimistic approaches. We discuss a Genetic Algorithm (GA) to solve the truck-to-door assignments for given truck arrival times, which solves the deterministic approach. Then the GA is modified to solve the bi-level formulations of the pessimistic and the optimistic approaches. Our numerical studies show that an hybrid approach regarding the pessimistic and the optimistic approaches may outperform all of the three approaches in certain cases.