Fuzzy Approaches and Simulation-Based Reliability Modeling to Solve a Road–Rail Intermodal Routing Problem with Soft Delivery Time Windows When Demand and Capacity are Uncertain

2020 ◽  
Vol 22 (7) ◽  
pp. 2119-2148 ◽  
Author(s):  
Yan Sun
Keyword(s):  
Time Windows ◽  
Delivery Time ◽  
Routing Problem ◽  
Reliability Modeling ◽  
Simulation Based ◽  
Demand And Capacity

Solving a large multi-product production-routing problem with delivery time windows

Omega ◽  
2019 ◽  
Vol 86 ◽  
pp. 154-172 ◽  
Author(s):  
Fábio Neves-Moreira ◽  
Bernardo Almada-Lobo ◽  
Jean-François Cordeau ◽  
Luís Guimarães ◽  
Raf Jans
Keyword(s):  
Time Windows ◽  
Delivery Time ◽  
Routing Problem ◽  
Production Routing

scholarly journals Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaojian Yuan ◽  
Qishan Zhang ◽  
Jiaoyan Zeng
Keyword(s):  
Customer Satisfaction ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Algorithm Analysis ◽  
Quantum Evolution ◽  
Delivery Time ◽  
Routing Problem ◽  
The Impact ◽  
Distribution Cost

Purpose. In order to study the impact of grey delivery time uncertainty on customer satisfaction and delivery costs, a vehicle routing problem with grey delivery time windows and multiobjective constraints is defined. Method. The paper first defines the uncertainty of the delivery vehicle’s arrival time to the customer as grey uncertainty and then whitens the grey time windows; at the same time, the customer’s hard time windows is expanded into a soft time windows to measure customer satisfaction when the vehicle arrives. Experiment. In order to verify the validity of the established model, numerical experiments are carried out in two groups based on the Solomon example, and the solution is solved based on the improved quantum evolution algorithm. Analysis. Distribution cost fluctuations and customer satisfaction fluctuations with grey time windows are relatively small; under different satisfaction threshold conditions, the distribution cost is increased gently with the satisfaction threshold. Conclusion. The grey delivery time windows have certain advantages in solving the random travel time vehicle routing problem.

Material Scheduling with Storage Windows Based on Modified Particle Swarm Algorithm for Material Manufacturing System

2012 ◽  
Vol 252 ◽  
pp. 343-348
Author(s):  
Xin Min Zhang ◽  
Su Zhang
Keyword(s):  
Manufacturing System ◽  
Time Windows ◽  
Particle Swarm ◽  
Superior Performance ◽  
Particle Swarm Algorithm ◽  
Delivery Time ◽  
Routing Problem ◽  
Modified Particle Swarm Optimization ◽  
Automobile Assembly ◽  
Low Efficiency

In order to solve the logistics problems in replenishment delay, low efficiency, high delivery time cost occurred on the side of automobile assembly line, a combination of “Workstation - Supermarket” is proposed to optimize vehicle scheduling. Storage windows are firstly proposed to replace pervious time windows. In this paper, based on analyzing the JIT material flow of line side, an optimization scheduling model with storage windows is established by taking the minimum of total delivery time as the objective function. A modified particle swarm optimization algorithm (MPSO) is introduced to solve the model. The result of simulation showed that the MPSO has superior performance on the proposed vehicle routing problem with storage windows (VRPSW). Furthermore, it is shown that MPSO is more efficiently on VRP in material manufacturing system.

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