scholarly journals Optimization Model and Algorithm of Empty Pallets Dispatching under the Time-Space Network of Express Shipment

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Kang Zhou ◽  
Shiwei He ◽  
Rui Song ◽  
Xiaole Guo ◽  
Kaiming Li
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Clonal Selection ◽  
Transportation Cost ◽  
Transport Cost ◽  
Utilization Rate ◽  
Time Requirement ◽  
Total Cost ◽  
Time Space ◽  
The Cost

Relying on the express freight network, the dispatching of empty pallets based on the pallet pool mode is studied to reuse pallets with the minimum transport cost, enhance the pallet utilization rate, reduce the waste of resources, and save the cost of logistics. Considering the influence of transport efficiency for different modes in transportation process, differences of transportation cost, carbon emissions, and transportation timeliness of demand points required, an optimization model is constructed. The objective of the model is to minimize the total cost including transportation cost, inventory cost, lease cost, and loss cost. According to the structural characteristics of the model, genetic algorithm and improved cloud clonal selection operation is used to solve the model. Finally, the validity and rationality of the optimization model are verified by a case study. The result shows that the total dispatching cost of considering time requirement is 1.8 times the cost without considering the time requirement, respectively, both less than the total cost of pallets leasing. Moreover, when there are 3 supply points and 2 demand points and the number of iterations is 100, after the algorithms are run for 30 times, the worst values are 9305 and 8317 for genetic algorithm and the improved cloud clonal selection operation, respectively. Therefore, the efficiency of the improved cloud clonal selection operation is higher than genetic algorithm.

scholarly journals Allocating Freight Empty Cars in Railway Networks with Dynamic Demands

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Ce Zhao ◽  
Lixing Yang ◽  
Shukai Li
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Numerical Experiments ◽  
Transportation Cost ◽  
Allocation Problem ◽  
Total Cost ◽  
Storage Cost ◽  
Proposed Model ◽  
Railway Networks

This paper investigates the freight empty cars allocation problem in railway networks with dynamic demands, in which the storage cost, unit transportation cost, and demand in each stage are taken into consideration. Under the constraints of capacity and demand, a stage-based optimization model for allocating freight empty cars in railway networks is formulated. The objective of this model is to minimize the total cost incurred by transferring and storing empty cars in different stages. Moreover, a genetic algorithm is designed to obtain the optimal empty cars distribution strategies in railway networks. Finally, numerical experiments are given to show the effectiveness of the proposed model and algorithm.

scholarly journals Optimization of Earthwork Allocation Path as Vehicle Route Problem Based on Genetic Algorithm

2020 ◽  
Vol 165 ◽  
pp. 04057
Author(s):  
Naifu Deng ◽  
Xuyang Li ◽  
Yanmin Su
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Construction Projects ◽  
Vehicle Route Problem ◽  
Vehicle Route ◽  
Route Problem ◽  
Modified Genetic Algorithm ◽  
Global Optimal ◽  
The Cost ◽  
Engineering Projects

In civil engineering, earthwork, prior to the construction of most engineering projects, is a lengthy and time-consuming work involving iterative processes. The cost of many AEC (Architecture, Engineering and Construction) projects is highly dependent on the efficiency of earthworks (e.g. road, embankment, railway and slope engineering). Therefore, designing proper earthwork planning is of importance. This paper simplifies the earthwork allocation problem to Vehicle Route Problem (VRP) which is commonly discussed in the field of transportation and logistics. An optimization model for the earthwork allocation path based on the modified Genetic Algorithm with a self-adaptive mechanism is developed to work out the global optimal hauling path for earthwork. The research results also instruct the initial topographic shaping of the Winter Olympic Skiing Courses Project. Furthermore, this optimization model is highly compatible with other evolutionary algorithms due to its flexibility, therefore, further improvement in this model is feasible and practical.

scholarly journals Optimization Model of Pure Electric Vehicle Battery-Swapping Dispatch Based on Transportation Problems

2020 ◽  
Vol 185 ◽  
pp. 01026
Author(s):  
Shengdong Zu ◽  
Lijiang Sun
Keyword(s):  
Electric Vehicle ◽  
Optimization Model ◽  
Decision Making Process ◽  
Multi Objective Optimization ◽  
Factors Affecting ◽  
Total Cost ◽  
Transportation Problems ◽  
Charging Station ◽  
Electric Vehicle Battery ◽  
The Cost

The optimization object of pure electric vehicle battery-swapping service dispatch is making the total cost to be minimum under the condition of meeting the battery-swapping demand. The battery-swapping service requires each charging station to scientifically transport the supplementary batteries of the electricity exchange station. It is a multi-objective optimization decision-making process. With the object of minimizing the total cost of one-time transportation, applying the transportation problems theory, an optimization model of the battery-swapping service between the charging station and the exchange station was established, and a typical example was analyzed. The results show that the battery-swapping service transportation line is one of the main factors affecting the cost of pure electric vehicle battery-swapping service dispatch.

COST OPTIMIZATION OF MULTIPLE RESOURCES ALLOCATION FOR MULTI-PROJECTS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Sarah Aboul Fotouh ◽  
A. Samer Ezeldin
Keyword(s):  
Genetic Algorithm ◽  
Construction Industry ◽  
Cost Optimization ◽  
Project Managers ◽  
Resources Allocation ◽  
Total Cost ◽  
Multiple Resources ◽  
The Cost ◽  
Critical Resources ◽  
Available Resources

As the construction industry grows year by year, optimization of resources is becoming essential to reduce their required number, their costs and as a consequence the total cost of the project. Project managers have to face problems regarding management of cost, time, and available resources for single projects. What is more challenging is to optimize the available resources for multiple projects, which would result in appreciable savings. Most of the companies in the construction industry commonly optimize the resources for single project. However, with the presence of several mega projects in many developing countries running at the same time, there is a need for a model to enhance the efficiency of available resources among multiple simultaneous projects. This paper discusses a numerical model of cost optimization and allocation of up to nine resources for up to three projects for a given company, taking into consideration the transportation of resources from one project to another and the cost of unused resources. The model was developed using a genetic algorithm, and it is used on the identified critical resources. It calculates the cost of each resource, minimizes the cost of extra resources, cost of unused resources, and generates the schedule of each project within a selected overall program.

scholarly journals Joint Optimization of a Dry Port with Multilevel Location and Container Transportation: The Case of Northeast China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Feng Pian ◽  
Qiuju Shi ◽  
Xue Yao ◽  
Huiling Zhu ◽  
Weixin Luan
Keyword(s):  
Northeast China ◽  
Transportation Cost ◽  
Joint Optimization ◽  
Container Transportation ◽  
Total Cost ◽  
The Road ◽  
Total Transportation Cost ◽  
The Cost ◽  
Port Construction ◽  
Dry Ports

Dry port construction can reduce the cost of container transportation, and its location is the focus of existing research. Considering dry port capacity limitations and scale advantages, this study calculates the costs associated with dry port construction and operations, transportation, time, and the environment and constructs a joint optimization model of the dry port location and transportation scheme to minimize the total cost. Taking 35 prefecture-level cities in Northeast China as the source of container goods and Dalian port as the destination, this study conducts an empirical analysis using the Gurobi 9.0.2 optimizer of the AMPL software to solve the problem and takes the minimum total cost as the goal to select the best dry port and container transshipment scheme. The research draws the following conclusions. Seven dry ports also need to be built in the road-rail (RD-RL) mode, which shares 82.76% of the container transshipment volume, to reduce the total transportation cost by approximately 21.67%. Although multimodal transport through dry ports increases the time cost slightly, it can significantly reduce the economic and environmental costs of container transportation.

scholarly journals Construction of the Optimization Model of Cargo Transport Network

2021 ◽  
Vol 261 ◽  
pp. 03013
Author(s):  
Yanyan Kong ◽  
Benfang Tian ◽  
Qingyang Wang ◽  
Donghui Liu ◽  
Yunfei Gao ◽  
...  
Keyword(s):  
Optimization Model ◽  
High Efficiency ◽  
Transportation Network ◽  
Transportation Cost ◽  
Circulation System ◽  
Time Cost ◽  
Transportation Modes ◽  
Consumption Cost ◽  
The Cost ◽  
In Transit

The transportation is gradually integrated into the circulation system of bulk goods, and developing and growing. Transportation has the advantages of high efficiency, high quality and green environment, In time, efficiency and cost than the traditional bulk transport has certain advantages. This paper analyzes the cost of logistics transportation network, which mainly includes transportation cost in transit, transit cost, time cost of cargo transportation and special cost. This paper discusses in detail the transportation cost, transit cost, time cost and carbon consumption cost of different transportation modes in the process of “scattered transformation”, and constructs the optimization model of” scattered transformation “transportation network with the least comprehensive transportation cost including the above costs.

Optimizing the Prefabrication Finishing Level in Modular Construction

2020 ◽  
Author(s):  
Mohammad Almashaqbeh ◽  
Khaled El-Rayes
Keyword(s):  
Optimization Model ◽  
Construction Projects ◽  
Transportation Cost ◽  
Healthcare Facility ◽  
Modular Construction ◽  
Structural Wall ◽  
Total Cost ◽  
Wide Range ◽  
Structural Frame

Prefabricated modules in modular construction projects can have a wide range of finishing levels that range from partially completed with only structural frame to fully completed with all structural, wall, mechanical, electrical, finishing and furnishing components. A higher module finishing level increases the offsite fabrication and transportation cost and decreases onsite assembly cost and duration while a lower finishing level produces the opposite results. This paper presents an optimization model that enables construction planners to identify an optimal finishing level for prefabricated modules in order to minimize the total cost of modular construction projects that includes all offsite fabrication, transportation, and onsite assembly costs. A case study of a modular construction project for a healthcare facility was analyzed to illustrate the use of the model and evaluate its performance. The results of this analysis highlight the original capabilities of the model in minimizing the total cost of modular construction projects.

TRANSPORTATION OPTIMIZATION MODEL USING THE DISTANCE MATRIX: A CASE OF CEMENT DISTRIBUTION FROM SELECTED COMPANIES TO DISTRIBUTION CENTERS IN EBONYI STATE

2021 ◽  
Vol 5 (2) ◽  
pp. 85-88
Author(s):  
Emmanuel Eneojo DANIEL ◽  
Benard ALECHENU ◽  
Mustapha Umar ADAMU ◽  
Gambo YAKUBU
Keyword(s):  
Optimization Model ◽  
Transportation Cost ◽  
Distance Matrix ◽  
Cement Industry ◽  
Distribution Centers ◽  
Port Harcourt ◽  
Transportation Distance ◽  
Cement Distribution ◽  
The Cost ◽  
Transportation Optimization

Ascertaining an optimal cement distribution plan for cement companies in Nigeria has remained a challenge. The absence or fluctuation of data for estimating the cost of transporting cement from each source to each distribution center is a big stumbling block whenever modeling attempts are being made via transportation algorithms. This work has succeeded in removing these challenges by providing a Transportation Optimization Model for cement distribution using transportation Distance Matrix instead of transportation Cost Matrix. This research seeks to improve supply in the Nigerian cement industry. Three selected factories (Gboko, Port-Harcourt and Calabar) and four major distribution centers (Abakaliki, Onueke, Ohaozara and Afikpo) in Ebonyi state were considered for this work. The result of the findings using the Vogel Approximation Method, minimized the total transportation distance and by implication the total transportation costs.

Multi-Objective Optimization Design of Tanker Ships via a Genetic Algorithm

2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Marcelo Ramos Martins ◽  
Diego F. Sarzosa Burgos
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Optimization Problem ◽  
Pareto Frontier ◽  
Ship Design ◽  
Design Parameters ◽  
Multi Objective Optimization ◽  
Total Cost ◽  
Multi Objective ◽  
The Cost

The cost of a new ship design heavily depends on the principal dimensions of the ship; however, dimensions minimization often conflicts with the minimum oil outflow (in the event of an accidental spill). This study demonstrates one rational methodology for selecting the optimal dimensions and coefficients of form of tankers via the use of a genetic algorithm. Therein, a multi-objective optimization problem was formulated by using two objective attributes in the evaluation of each design, specifically, total cost and mean oil outflow. In addition, a procedure that can be used to balance the designs in terms of weight and useful space is proposed. A genetic algorithm was implemented to search for optimal design parameters and to identify the nondominated Pareto frontier. At the end of this study, three real ships are used as case studies.

scholarly journals Reducing the Cost of Electricity by Optimizing Real-Time Consumer Planning Using a New Genetic Algorithm-Based Strategy

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1144 ◽  
Author(s):  
Laurentiu-Mihai Ionescu ◽  
Nicu Bizon ◽  
Alin-Gheorghita Mazare ◽  
Nadia Belu
Keyword(s):  
Genetic Algorithm ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Time Interval ◽  
Renewable Sources ◽  
Total Cost ◽  
Cost Of Electricity ◽  
Cost Of Energy ◽  
Input Parameters ◽  
The Cost

To ensure the use of energy produced from renewable energy sources, this paper presents a method for consumer planning in the consumer–producer–distributor structure. The proposed planning method is based on the genetic algorithm approach, which solves a cost minimization problem by considering several input parameters. These input parameters are: the consumption for each unit, the time interval in which the unit operates, the maximum value of the electricity produced from renewable sources, and the distribution of energy production per unit of time. A consumer can use the equipment without any planning, in which case he will consume energy supplied by a distributor or energy produced from renewable sources, if it is available at the time he operates the equipment. A consumer who plans his operating interval can use more energy from renewable sources, because the planning is done in the time interval in which the energy produced from renewable sources is available. The effect is that the total cost of energy to the consumer without any planning will be higher than the cost of energy to the consumer with planning, because the energy produced from renewable sources is cheaper than that provided from conventional sources. To be validated, the proposed approach was run on a simulator, and then tested in two real-world case studies targeting domestic and industrial consumers. In both situations, the solution proposed led to a reduction in the total cost of electricity of up to 25%.

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