scholarly journals A Location-Allocation Model for Seaport-Dry Port System Optimization

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Xuejun Feng ◽  
Yan Zhang ◽  
Yuwei Li ◽  
Wei Wang
Keyword(s):  
Network Optimization ◽  
Optimization Problem ◽  
System Optimization ◽  
The West ◽  
Allocation Model ◽  
Location Allocation ◽  
Port System ◽  
The Taiwan Strait ◽  
Dry Ports

Seaports participate in hinterland economic development through partnerships with dry ports, and the combined seaport-dry port network serves as the backbone of regional logistics. This paper constructs a location-allocation model for the regional seaport-dry port network optimization problem and develops a greedy algorithm and a genetic algorithm to obtain its solution. This model is applicable to situations under which the geographic distribution of demand is known. A case study involving configuration of dry ports near the west bank of the Taiwan Strait is conducted, and the model is successfully applied.

scholarly journals Optimization and GIS-based combined approach for the determination of sites and size of biogas plants for a whole region

2019 ◽  
Vol 118 ◽  
pp. 03020
Author(s):  
Sanchuan Ouyang ◽  
Hongguang Zhu ◽  
Junjie Chen ◽  
minqi Zhao
Keyword(s):  
Optimal Number ◽  
Economic Optimization ◽  
Entire Region ◽  
Allocation Model ◽  
Location Allocation ◽  
Transportation Distance ◽  
Biogas Plants ◽  
Optimal Construction

To make better use of agricultural residues and solve the problem of residues pollution, it is necessary to carry out regional management, which means spatial planning of the entire region is essential. This study developed a methodology based on GIS for determining the suitable locations, optimal sizes and number of biogas plants for the entire region while meeting the conditions that all biomass can be collected. Based on the optimization of transportation distance, the nearest facility model and the modified location allocation model were used to obtain the correspondence between plants and supply points, the transportation path and the plants’ capacity under different numbers of plants. Based on economic optimization, the economic model was constructed to calculate the total cost of different numbers of biogas plants and the optimal number was obtained after comparing. The cross path was adjusted for the selected plan to ensure that there was no crossover in the plants’ collection area. This approach was applied (as a case study) in Funan County, Anhui Province. Based on the existing results, the optimal construction number of biogas plants in the region was 9.

scholarly journals Intelligent Storage Location Allocation with Multiple Objectives for Flood Control Materials

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1537 ◽  
Author(s):  
Wei Wang ◽  
Jing Yang ◽  
Li Huang ◽  
David Proverbs ◽  
Jianbin Wei
Keyword(s):  
Flood Control ◽  
Optimization Problem ◽  
Development Trend ◽  
Multiple Objectives ◽  
Control Material ◽  
Weighting Method ◽  
Allocation Model ◽  
Location Allocation ◽  
Intelligent Storage ◽  
Storage Location

Intelligent storage is an important element of intelligent logistics and a key development trend in modern warehousing and logistics. Based on the characteristics of flood control materials and their intelligent storage, this study established a flood control material storage location allocation model reflecting the multiple objectives of retrieval efficiency and shelf stability and used a weighting method to transform a multi-objective optimization problem into a single-objective optimization problem. We then used the facilities and equipment planning and storage location allocation in the intelligent storage area for provincial flood control materials at the Zhenjiang warehouse of the Jiangsu water conservancy and flood control material reserve center as a case study. Empirical analysis was performed and used the genetic algorithm and Matrix Laboratory (MATLAB) software to optimize the storage location allocation of provincial flood prevention supplies at this warehouse, and it achieved effective results.

An Approach to Determining Optimal Locations for New Services

1986 ◽  
Vol 23 (4) ◽  
pp. 354-362 ◽  
Author(s):  
Avijit Ghosh ◽  
C. Samuel Craig
Keyword(s):  
Network Optimization ◽  
Optimization Procedure ◽  
Network Size ◽  
Design Strategies ◽  
Operating Characteristics ◽  
Service Network ◽  
Allocation Model ◽  
Location Allocation ◽  
High Level ◽  
The Cost

Designing a network of service centers involves a tradeoff between the revenue likely to be generated by providing a high level of service and the cost of operating the service network. The authors develop a procedure for determining the location and design strategies for new services using a modified maximal covering location-allocation model. The network optimization procedure relies on direct assessment of consumer sensitivity to distance and nondistance factors through conjoint analysis and simultaneously determines the network size, location of outlets, price, and operating characteristics.

scholarly journals Dry Ports-Seaports Sustainable Logistics Network Optimization: Considering the Environment Constraints and the Concession Cooperation Relationships

2017 ◽  
Vol 24 (s3) ◽  
pp. 143-151 ◽  
Author(s):  
Hairui Wei ◽  
Zhaohan Sheng
Keyword(s):  
Carbon Emissions ◽  
Network Optimization ◽  
Evaluation Method ◽  
Rapid Development ◽  
Weighted Averaging ◽  
Logistics Network ◽  
Location Allocation ◽  
Sustainable Logistics ◽  
Cooperation Mechanism ◽  
Dry Ports

Abstract In China dry ports enter into a rapid development period now, however for many Chinese dry ports, the operation faces difficulties duo to inefficient logistics networks and cooperation relationship between dry ports and seaports. Focusing on the concession cooperation mechanism of seaports and dry ports, and the environmental constraints (carbon emissions and congestion cost), a bi-objective location-allocation MILP model for the sustainable hinterland-dry ports-seaports logistics network optimization is formulated, aiming at the system logistics costs and carbon emissions to be minimized. Moreover, for the cooperation mechanism of seaports to dry ports, a parameter called cooperation cost concession coefficient is proposed for the optimization model, and a new evaluation method based on the ordered weighted averaging (OWA) operator is used to evaluate it. Then a location-allocation decision-making framework for the hinterland-dry port-seaport logistics network is proposed. The innovative aspect of the model is that it can proposes a effective and environment friendly dry ports location strategic and also give insights into the connective cooperation relationships, and cargo flows of the network. A case study involving configuration of dry ports in Henan Province is conducted, and the model is successfully applied.

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