V Gumuskaya, W van Jaarsveld, R Dijkman, P Grefen… - … Research Part C: Emerging …, 2021
In this paper, we propose an approach that combines optimization techniques with
machine learning to improve capacitated barge planning with uncertain container
arrivals. The main idea is to use the predictions of a decision tree in the scenario …
AH Goodarzi, E Diabat, A Jabbarzadeh, M Paquet - Computers & Operations …, 2021
Cross-docking is a strategy to facilitate a persistent process from suppliers to the
consumer points, without long-term storage of products at a distribution warehouse.
Products are collected from various origins by inbound trucks, unloaded to the cross …
A Agárdi, K Nehéz - Management and Production Engineering Review, 2021
The natural goal of manufacturing companies is to maximize profits. Maximizing profit
may includes cost reduction. One of the main costs for production companies is the
loss of production. Such production lost is the setup times of the machines ie …
T Tedjini, S Afifi, F Pichon, E Lefèvre - … on Symbolic and Quantitative Approaches with …, 2021
This paper addresses a variant of the vehicle routing problem with time windows
where service and travel times are modeled within the framework of belief function
theory. This theory is general as it offers to model several facets of information …
LP Fava, JC Furtado, GA Helfer, JLV Barbosa, M Beko… - 2021
This work presents a multistart algorithm for solving the capacitated vehicle routing
problem with 2D loading constraints (2L-CVRP) allowing for the rotation of goods.
Research dedicated to graph theory and symmetry considered the vehicle routing …
QN Nguyen, NN Duc, PK Nguyen
Abstract In City Logistics context, multi-echelon distribution system normally supports
multi-traffic: inbound, outbound, and intra-city traffic. Tackling multi-echelon model
with multi-traffic simultaneously will take benefit from saving time and money …
B Ji, S Zhou, SY Samson, G Wu - Computers & Industrial Engineering, 2021
The split delivery vehicle routing problem with two-dimensional loading constraints
(2L-SDVRP) is a complex practical problem in the field of logistics. It aims at finding
the optimal vehicle routes and two-dimensional packing layouts of items in each …
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