Truck scheduling in a multi-door cross-docking center with partial unloading – Reinforcement learning-based simulated annealing approaches

2020 ◽  
Vol 139 ◽  
pp. 106134 ◽  
Author(s):  
Amin Shahmardan ◽  
Mohsen S. Sajadieh
Keyword(s):  
Simulated Annealing ◽  
Reinforcement Learning ◽  
Cross Docking ◽  
Truck Scheduling

Computational Intelligence in Cross Docking

2014 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Bo Xing
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Simulated Annealing ◽  
Tabu Search ◽  
Computational Intelligence ◽  
Simple Concept ◽  
Simulated Annealing Genetic Algorithm ◽  
Cross Docking ◽  
Open Questions ◽  
Key Issues

Cross docking is a practice in logistics with the main operations of goods flow directly from receiving to the shipping docks without stopping or being put away into storage. It is a simple concept to talk about, but a challenging one to implement. So far, many different approaches have been followed in order to improve the efficiency of a cross docking system. However, as the complexity increases, the use of computational intelligence (CI) in those problems is becoming a unique tool of imperative value. In this paper, different CI methods, such as Tabu search, simulated annealing, genetic algorithm, and fuzzy logic. The key issues in implementing the proposed approaches are discussed, and finally the open questions are highlighted.

Truck scheduling in a cross docking systems with fixed due dates and shipment sorting

2018 ◽  
Vol 117 ◽  
pp. 29-40 ◽  
Author(s):  
Danyar Molavi ◽  
Amin Shahmardan ◽  
Mohsen S. Sajadieh
Keyword(s):  
Due Dates ◽  
Cross Docking ◽  
Truck Scheduling

scholarly journals Mathematical Optimization Model for Truck Scheduling in a Distribution Center with a Mixed Service-Mode Dock Area

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Gustavo Correa Issi ◽  
Rodrigo Linfati ◽  
John Willmer Escobar
Keyword(s):  
Mathematical Optimization ◽  
Distribution Center ◽  
Mixed Integer ◽  
Cross Docking ◽  
Truck Scheduling ◽  
Logistics Strategy ◽  
Service Mode ◽  
Reducing Costs ◽  
And Storage

Cross-docking is a logistics strategy in which products arriving at a distribution center are unloaded from inbound trucks and sorted for transfer directly to outbound trucks, reducing costs and storage and product handling times. This paper addresses a cross-docking problem by designing a mixed-integer linear programming (MILP) model to determine a schedule for inbound and outbound trucks in a mixed service-mode dock area that minimizes the time from when the first inbound truck arrives until the last outbound truck departs (makespan). The model is developed using AMPL software with the CPLEX and Gurobi solvers, which provide results for different instances, most of these with actual shift data from an integrated distribution center of a multinational food company located in Concepción, Chile. The results obtained from the case study are notable and show the effectiveness of the proposed mathematical model.

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