Abstract

Besides routing and packing plans, synthetically considering the requirements of customers about service time is absolutely necessary. An order split delivery plan can not only better satisfy the service time requirements, but also improve the full-load rate of vehicles. The split delivery vehicle routing problem with three-dimensional loading constraints (3L-SDVRP) combines vehicle routing and three-dimensional loading with additional packing constraints. In the 3L-SDVRP splitting deliveries of customers is basically possible, i.e., a customer can be visited in two or more tours. The vehicle routing problem with three-dimensional loading constraints that are based on the time window and considering split delivery of orders (3L-CVRPTWSDO) and its optimization algorithm are studied in this paper. We established mathematical model of the problem and designed the tabu search algorithm. Based on the examples used in Gendreau et al. (2006), examples was constructed to test our algorithm. The experimental results have expressed that, in the 3L-CVRP problem, the results of split delivery is better than those of non-split delivery, and it is easier to satisfy the time window constraints. The algorithm in this paper generates high quality solutions, it provides a effective method to solve the 3L-CVRPTWSDO problems.

Highlights

  • As the most important and basic activity in logistics, transportation will cause serious pollution to the environment

  • This paper focuses on the problem that most organizations are required to adopt more sustainable methods in their logistics operations, and raises the vehicle routing problem with three-dimensional loading constraints based on the time window and considering split delivery of orders

  • In the vehicle routing problem with three-dimensional loading constraints based on the time window and considering split delivery of orders, to achieve the best loading and delivery scheme within the loading capacity of the vehicle from the view of distribution center side, we devise the loading plan and delivery route of several vehicles that are involved in transportation activities

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Summary

Introduction

As the most important and basic activity in logistics, transportation will cause serious pollution to the environment. They consider the various operational constraints that often occur in real-world situations to meet the various requirements of the customer The purpose of this problem is to design the route with the lowest cost, and the study of this problem provides a reflection on how to reduce the waste of resources for the sustainable of this research. This paper focuses on the problem that most organizations are required to adopt more sustainable methods in their logistics operations, and raises the vehicle routing problem with three-dimensional loading constraints based on the time window and considering split delivery of orders. Our algorithm reduces the total travel distance of transport vehicles in the same delivery process by improving the overall efficiency in the logistics process, which can reduce fuel consumption, save fuel costs, and reduce greenhouse gas emissions This is consistent with the sustainable development strategy.

Vehicle Routing Problems with 3D Loading Constraints
Vehicle Routing Problem with Split Deliveries
Approaches to 3L-VRPTW
Approaches to 3L-SDVRP
Model Development
Purpose of Order Splitting
Reduction in Number of Vehicles
Deepest-Bottom-Leftfill Algorithm
Deepest-Bottom-Leftfill Packing Mode
Algorithm Overview
Move-client
28 Turn to Step 4
Numerical Experiments
Parameter Setting
D L T α β γ tabuLength solutionSpace maxIter1 maxIter2
Under the Time Window Constraint
Findings
Conclusions
Full Text
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