Abstract

In this study, we investigate truck-to-door assignment problem for loading outgoing trucks in a cross-docking system with flexible handling times. Specifically, a truck's loading time depends on the number of workers assigned to the outbound door, where the truck is being loaded. An optimization problem is formulated to jointly determine the number of workers and the trucks to be loaded at each door. The resulting problem is a nonlinear integer programming model. Due to the complexity of this model, two evolutionary heuristic methods are proposed for solution. First heuristic method is based on truck assignments while the second heuristic is based on worker assignments. A numerical study is conducted to compare the two heuristic methods.

Meeting Name

Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS (2017: Oct. 30-Nov. 1, Chicago, IL)

Department(s)

Engineering Management and Systems Engineering

Research Center/Lab(s)

Intelligent Systems Center

Comments

This work is partially supported by the US Department of Transportation through the Center for Advanced Intermodal Technologies, a University-Transportation-Center led by the University of Memphis, Intermodal Freight Transportation Institute, and the Missouri University of Science and Technology.

Keywords and Phrases

Adaptive systems; Automobiles; Combinatorial optimization; Embedded systems; Heuristic methods; Integer programming; Numerical methods; Optimization; Trucks; Crossdocking; Evolutionary heuristic methods; Flexibility; Heuristics; Non-linear integer programming; Optimization problems; Truck-to-door assignment; Worker assignments; Loading; Cross-docking

International Standard Serial Number (ISSN)

1877-0509

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2017 The Authors, All rights reserved.

Publication Date

01 Sep 2017

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