A bi-level programming model of resource matching for collaborative logistics network in supply uncertainty environment

2015 ◽  
Vol 352 (9) ◽  
pp. 3873-3884 ◽  
Author(s):  
Xiaofeng Xu ◽  
Wei Zhang ◽  
Ning Li ◽  
Huiling Xu
Keyword(s):  
Programming Model ◽  
Supply Uncertainty ◽  
Logistics Network ◽  
Resource Matching ◽  
Collaborative Logistics ◽  
Uncertainty Environment

scholarly journals Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Xiao-feng Xu ◽  
Wei-hong Chang ◽  
Jing Liu
Keyword(s):  
Resource Allocation ◽  
Bilevel Programming ◽  
Programming Model ◽  
Network Resource ◽  
Hybrid Intelligent Algorithm ◽  
Logistics Network ◽  
Network Resource Allocation ◽  
Collaborative Logistics ◽  
Bilevel Programming Model ◽  
Relationship Of

Collaborative logistics network resource allocation can effectively meet the needs of customers. It can realize the overall benefit maximization of the logistics network and ensure that collaborative logistics network runs orderly at the time of creating value. Therefore, this article is based on the relationship of collaborative logistics network supplier, the transit warehouse, and sellers, and we consider the uncertainty of time to establish a bilevel programming model with random constraints and propose a genetic simulated annealing hybrid intelligent algorithm to solve it. Numerical example shows that the method has stronger robustness and convergence; it can achieve collaborative logistics network resource allocation rationalization and optimization.

scholarly journals Research on Optimization and Design of Sustainable Urban Underground Logistics Network Framework

2020 ◽  
Vol 12 (21) ◽  
pp. 9147
Author(s):  
Hairui Wei ◽  
Anlin Li ◽  
Nana Jia
Keyword(s):  
Hybrid Method ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Programming Model ◽  
Mixed Integer ◽  
Set Cover ◽  
Exhaust Emission ◽  
Logistics Network ◽  
Design And Optimization ◽  
Fuzzy Clustering Method

As a new mode of transportation, the underground logistics system (ULS) has become one of the solutions to the problems of environmental pollution and traffic congestion. Considering the environmental and economic factors in urban logistics, this paper conducts comprehensive design and optimization research on the network nodes and passages of urban underground logistics and proposes a relatively complete framework for a sustainable underground logistics network. A hybrid method is proposed, which includes the set cover model used to perform the first location of urban underground logistics nodes, the fuzzy clustering method applied to classify the located logistics nodes into the first-level and second-level nodes considering the congestion in different urban areas of the city and a mixed integer programming model proposed to optimize and design the underground logistics passage to find optimal passage parameters at every underground logistics node. Based on the above hybrid method, a sustainable underground logistics network framework including all-levels logistics nodes and passages is formed, with a subdistrict of Nanjing as a case study. The discussion of results shows that this underground logistics network framework proposal is very effective in reducing logistics time cost, exhaust emission and congestion cost. It provides support for decisions in the design and development of urban sustainable underground logistics networks.

scholarly journals Genetic algorithm for the cargo shunting cooperation between two hub-and-spoke logistics networks

2019 ◽  
Vol 12 (2) ◽  
pp. 356
Author(s):  
Jingjing Hu ◽  
Youfang Huang
Keyword(s):  
Genetic Algorithm ◽  
Programming Model ◽  
Northern China ◽  
Third Party ◽  
Utilization Rate ◽  
Network Resources ◽  
Hub And Spoke ◽  
Logistics Network ◽  
Logistics Networks ◽  
Hub And Spoke Networks

Purpose: The overstocked goods flow in the hub of hub-and-spoke logistics network should be disposed of in time, to reduce delay loss and improve the utilization rate of logistics network resources. The problem we need to solve is to let logistics network cooperate by sharing network resources to shunt goods from one hub-and-spoke network to another hub-and-spoke network.Design/methodology/approach: This paper proposes the hub shunting cooperation between two hub-and-spoke networks. Firstly, a hybrid integer programming model was established to describe the problem, and then a multi-layer genetic algorithm was designed to solve it and two hub-and-spoke networks are expressed by different gene segments encoded by genes. The network data of two third-party logistics companies in southern and northern China are used for example analysis at the last step. Findings: The hub-and-spoke networks of the two companies were constructed simultaneously. The transfer cost coefficient between two networks and the volume of cargo flow in the network have an impact on the computation of hubs that needed to be shunt and the corresponding cooperation hubs in the other network.Originality/value: Previous researches on hub-and-spoke logistics network focus on one logistics network, while we study the cooperation and interaction between two hub-and-spoke networks. It shows that two hub-and-spoke network can cooperate across the network to shunt the goods in the hub and improve the operation efficiency of the logistics network. 

4/R/I/T distribution logistics network 0-1 programming model and application

2008 ◽  
Vol 55 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Wang Zhuan ◽  
Zhang Qinghua ◽  
Yang bo ◽  
He Wenwen
Keyword(s):  
Programming Model ◽  
Logistics Network ◽  
Distribution Logistics ◽  
T Distribution

scholarly journals Optimization of a logistics network considering allocation of facilities and taxation aspects

2020 ◽  
Vol 27 (4) ◽  
Author(s):  
Bruno Vinícius Ribeiro Furlanetto ◽  
Fernando Augusto Silva Marins ◽  
Aneirson Francisco da Silva ◽  
Cristiane Maria Defalque
Keyword(s):  
Programming Model ◽  
Animal Feed ◽  
Mixed Integer ◽  
Global Localization ◽  
Excise Tax ◽  
Logistics Network ◽  
Goods And Services ◽  
Brazilian State ◽  
Tax Benefits ◽  
Tax Changes

Abstract This article analyzes the impacts of operational and tax changes in a logistics network, considering the location of facilities and the following taxes: the Brazilian State Excise Tax on Circulation of Goods and Services, the Import Duty, the Brazilian State Excise Tax in Tax Substitution, the Social Integration Program, the Contribution for the Financing of Social Security and the Brazilian Federal Excise Tax on Industrialized Products. The influence of incorporations and outsourcing of distribution services in solving global localization issues concerning various links in a chain suplly has also been considered. The problem was modeled and solved by the GAMS modeling language using Solver CPLEX. The proposed Mixed Integer Linear Programming model minimizes operating costs taking into account tax benefits and the best use of the credits related to the Tax on Circulation of Goods and Services of a multiproduct network. A real application involving a company in the animal feed production sector was developed. The results showed that the model allowed to evaluate conveniently how the choice of the facilities and the characteristics of the product flows impacted the overall costs of the system. The results also evidenced the need to make decisions based on the existing tax structure, since the scenarios without tax optimization generated substantial losses to the companies. This information added quality to the manager of the company studied.

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