Fourth-party logistics network design with service time constraint under stochastic demand

2021 ◽  
Author(s):  
Mingqiang Yin ◽  
Min Huang ◽  
Xiaohu Qian ◽  
Dazhi Wang ◽  
Xingwei Wang ◽  
...  
Keyword(s):  
Network Design ◽  
Service Time ◽  
Stochastic Demand ◽  
Time Constraint ◽  
Logistics Network ◽  
Fourth Party Logistics

Fourth Party Logistics Network Design Considering Quantity Discount

2021 ◽  
Author(s):  
Songchen Jiang ◽  
Jin Chen ◽  
Min Huang ◽  
Yuxin Zhang ◽  
Mingqiang Yin
Keyword(s):  
Network Design ◽  
Quantity Discount ◽  
Logistics Network ◽  
Fourth Party Logistics

scholarly journals Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand

2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Jiehui Jiang ◽  
Dezhi Zhang ◽  
Shuangyan Li ◽  
Yajie Liu
Keyword(s):  
Network Design ◽  
Carbon Tax ◽  
Stochastic Demand ◽  
Urban Agglomeration ◽  
Decision Models ◽  
Network Design Problem ◽  
Carbon Taxes ◽  
Green Logistics ◽  
Logistics Network ◽  
Method Of Successive Averages

This study investigates a multimodal green logistics network design problem of urban agglomeration with stochastic demand, in which different logistics authorities among the different cities jointly optimize the logistics node configurations and uniform carbon taxes over logistics transport modes to maximize the total social welfare of urban agglomeration and consider logistics users’ choice behaviors. The users’ choice behaviors are captured by a logit-based stochastic equilibrium model. To describe the game behaviors of logistics authorities in urban agglomeration, the problem is formulated as two nonlinear bilevel programming models, namely, independent and centralized decision models. Next, a quantum-behaved particle swarm optimization (QPSO) embedded with a Method of Successive Averages (MSA) is presented to solve the proposed models. Simulation results show that to achieve the overall optimization layout of the green logistics network in urban agglomeration the logistics authorities should adopt centralized decisions, construct a multimode logistics network, and make a reasonable carbon tax.

scholarly journals Robust Optimization of Fourth Party Logistics Network Design under Disruptions

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Jia Li ◽  
Yanqiu Liu ◽  
Ying Zhang ◽  
Zhongjun Hu
Keyword(s):  
Robust Optimization ◽  
Network Design ◽  
Optimization Model ◽  
Artificial Fish Swarm Algorithm ◽  
Logistics Network ◽  
Market Risks ◽  
Artificial Fish Swarm ◽  
Fourth Party Logistics ◽  
Definition Of ◽  
The Cost

The Fourth Party Logistics (4PL) network faces disruptions of various sorts under the dynamic and complex environment. In order to explore the robustness of the network, the 4PL network design with consideration of random disruptions is studied. The purpose of the research is to construct a 4PL network that can provide satisfactory service to customers at a lower cost when disruptions strike. Based on the definition ofβ-robustness, a robust optimization model of 4PL network design under disruptions is established. Based on the NP-hard characteristic of the problem, the artificial fish swarm algorithm (AFSA) and the genetic algorithm (GA) are developed. The effectiveness of the algorithms is tested and compared by simulation examples. By comparing the optimal solutions of the 4PL network for different robustness level, it is indicated that the robust optimization model can evade the market risks effectively and save the cost in the maximum limit when it is applied to 4PL network design.

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