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.

Mathematical Solution for the Determination of Optimal Warehouse Location and Optimal Distribution Route

2005 ◽  
Author(s):  
Jagannadha Rao Naraparaju ◽  
Raghunandan A. Karamcheti ◽  
Z. Y. Wang
Keyword(s):  
Mathematical Models ◽  
Optimal Location ◽  
Optimal Routing ◽  
Practical Case ◽  
Transport Costs ◽  
Numerical Examples ◽  
Warehouse Location ◽  
Transportation Distance

In this paper, a procedure to determine the optimal location of a distribution warehouse, from which products are sent out to a group of companies has been studied. The goal was to minimize annual transportation distance between the warehouse and the customers. Fundamentals of mathematics have been used to formulate a virtual map showing the location of the present customers. Mathematical models and equations were developed making certain assumptions and an optimal location for the warehouse has been determined. Various factors that are involved in relocating the warehouse have been considered. Also a solution is given for the optimal location of a satellite or an auxiliary warehouse in addition to the existing one. A case study has been conducted on the model with the help of various numerical examples. Based on the optimal location of the relocated warehouse and the satellite warehouse obtained, the reductions in the transport costs were estimated. Once the optimal warehouse location has been found out, the next step was to find out an optimal route (least travel distance) for a practical case in which several companies have to be supplied with necessary products from one warehouse in a single trip. For this purpose, mathematical models were created and optimal routing algorithms were developed. Case studies have been conducted with the help of numerical examples. High amounts of savings in terms of travel distances, costs and time could be observed by the implementation of these algorithms.

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.

Determination of the Optimal Number of Suppliers Considering the Risk: Emersun Company as a Case Study

2012 ◽  
Vol 433-440 ◽  
pp. 5873-5880 ◽  
Author(s):  
Nasim Mirahmadi ◽  
Esmaeel Saberi ◽  
Ebrahim Teimoury
Keyword(s):  
Supply Chain ◽  
Optimal Number ◽  
Development Cost ◽  
Supply Risk ◽  
Proposed Model ◽  
Management Area ◽  
The Cost ◽  
Tree Approach

Determining the number of suppliers chosen for cooperation in a supply chain is one of the most important problems in the supply chain management area. Regarding the fact that simultaneously decreasing the risk and cost is one of the most important objectives of every organization, besides the cost, the risk has also been introduced in the recent researches, as one of the most important criteria. In this paper, the decision tree approach is used for determining the optimal number of suppliers considering the supply risk and it has been tried to develop an applied method through expanding the cost criteria. The proposed model in this paper, therefore, contains any kind of cost ingredients such as cost of suppliers development, cost of suppliers management, cost of missing discount in volume due to increase in number of suppliers in supply base, and loss cost due to supply postponement from suppliers. This approach is implemented in Emersun Company.

scholarly journals Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution

2020 ◽  
Vol 76 ◽  
pp. 01012
Author(s):  
I Nyoman Sutapa ◽  
Magdalena Wullur ◽  
Tania Nano Cahyono
Keyword(s):  
Distribution System ◽  
Optimal Number ◽  
Centre Of Gravity ◽  
Shortest Distance ◽  
Business To Consumer ◽  
Market Test ◽  
Alternative Tobacco Products ◽  
A Company

The article discusses a case study at a company that works on Fast Moving Consumer Goods (FMCG) section using B2B distribution system, and is conducting a market test for its new alternative tobacco products using B2C distribution system. The purpose of this study is to determine both number and location of warehouses that provides a minimum total logistics costs for the B2C process, where the company is currently still using company-owned B2B warehouses. Determination of the number and location of these warehouses is performed using Agglomerative Hierarchical Clustering where grouping is based on the shortest distance and is done using Evolutionary Solver. Centre of Gravity is also used to determine the location of the warehouses. Iteration will be carried out to obtain the number of warehouses that provide minimal total cost. The result of the modelling shows that the optimal number of warehouses is six and each warehouse will have their own market division.

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