A microcomputer based decision support tool for assigning dock doors in freight yards
Proceedings of the 12th annual conference on Computers and industrial engineering
An optimal solution to a dock door assignment problem
Proceedings of the 14th annual conference on Computers and industrial engineering
The Effects of Trailer Scheduling on the Layout of Freight Terminals
Transportation Science
Reducing Labor Costs in an LTL Crossdocking Terminal
Operations Research
A dock-door assignment problem for the Korean mail distribution center
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
Computers and Industrial Engineering
Genetic-based scheduling to solve the parcel hub scheduling problem
Computers and Industrial Engineering
Truck scheduling at zero-inventory cross docking terminals
Computers and Operations Research
A dynamic load-balancing scheme for the parcel hub-scheduling problem
Computers and Industrial Engineering
The parcel hub scheduling problem: A simulation-based solution approach
Computers and Industrial Engineering
Scheduling trucks in cross-docking systems: Robust meta-heuristics
Computers and Industrial Engineering
Iterative improvement to solve the parcel hub scheduling problem
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
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While organizing the cross-docking operations, cross-dock managers are confronted with many decision problems. One of these problems is the truck scheduling problem. This paper presents a truck scheduling problem that is concerned with both inbound and outbound trucks at multiple dock doors. The objective is to minimize the total travel time and the total tardiness. The truck scheduling problem under study is described in detail and a mathematical model of the problem is provided which can be solved to optimality with a mixed integer programming solver, at the expense of a high computation time. Next, a tabu search approach is presented. Experimental results on new benchmark instances indicate that the proposed tabu search is able to find good quality results in a short time period, thus offering potential for integration in cross-docking decision support systems.