Research on Construction Method of Optimization Model between Customer Requirements and Product Technical Characteristics Configuration

2011 ◽  
Vol 55-57 ◽  
pp. 2139-2146
Author(s):  
Xiao An Yang ◽  
Hao Chen ◽  
Bing Bing Wang ◽  
Xiao Hong Liu ◽  
Wei She Zhang
Keyword(s):  
Optimization Model ◽  
Triangular Fuzzy Number ◽  
Customer Requirements ◽  
Configuration Optimization ◽  
Bp Network ◽  
Transaction Data ◽  
Product Function ◽  
Electric Bicycle ◽  
Data History ◽  
The Cost

The degree of satisfying the customer requirements was determined by the diversity of product function and form, in order to improve the satisfaction, the mapping relation between customer requirements and technical characteristics should be analyzed to construct configuration optimization model. This paper integrated triangular fuzzy number, BP network and GA to propose a method of constructing optimization model of product technical characteristics configuration corresponding to customer requirements, the model was established based on customer transaction data history. This method acquired the information of customer requirements and preference and that of purchased products’ function and form characteristic by analyzing and extracting customer transaction information, then applied BP network to express the mapping relations between customer requirements and product technical characteristics. The optimization model took the cost and time as constraint with the customer requirements as target, finally used genetic algorithm with MATLAB to solve. The electric bicycle was taken to illustrate the build process.

The Optimization Model of Wind Power and Thermal Power Jointly Run under the TOU Price

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Electricity Demand ◽  
Environmental Benefits ◽  
Power Company ◽  
The Cost ◽  
Pollution Emissions

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits

Resource Distribution Strategies for Mitigation of Cross-Regional Influenza Pandemics

2013 ◽  
pp. 83-105
Author(s):  
Andres Uribe-Sanchez ◽  
Alex Savachkin
Keyword(s):  
Optimization Model ◽  
Resource Distribution ◽  
Institute Of Medicine ◽  
Policy Makers ◽  
Social Distancing ◽  
Influenza Pandemics ◽  
Lost Productivity ◽  
Dynamic Resource ◽  
The Cost ◽  
The Impact

As recently acknowledged by the Institute of Medicine, the existing pandemic mitigation models lack dynamic decision support capabilities. This paper develops a simulation optimization model for generating dynamic resource distribution strategies over a network of regions exposed to a pandemic. While the underlying simulation mimics the disease and population dynamics of the affected regions, the optimization model generates progressive allocations of mitigation resources, including vaccines, antivirals, healthcare capacities, and social distancing enforcement measures. The model strives to minimize the impact of ongoing outbreaks and the expected impact of the potential outbreaks, considering measures of morbidity, mortality, and social distancing, translated into the cost of lost productivity and medical expenses. The model was implemented on a simulated outbreak involving four million inhabitants. The strategy was compared to pro-rata and myopic strategies. The model is intended to assist public health policy makers in developing effective distribution policies during influenza pandemics.

scholarly journals Electric Bicycle-Sharing: A New Competitor in the Urban Transportation Market? An Empirical Analysis of Transaction Data

2019 ◽  
Vol 2673 (4) ◽  
pp. 15-26 ◽  
Author(s):  
Sergio Guidon ◽  
Henrik Becker ◽  
Horace Dediu ◽  
Kay W. Axhausen
Keyword(s):  
Public Transportation ◽  
Spatial Regression ◽  
Social Activity ◽  
Transaction Data ◽  
Fifth Generation ◽  
Transportation Service ◽  
Bike Sharing ◽  
Bicycle Infrastructure ◽  
Electric Bicycle ◽  
Key Drivers

Electric bicycles (e-bikes) are a new addition to bicycle-sharing and may improve its competitiveness. E-bikes allow for higher speeds at a higher level of comfort than conventional bicycles and, compared with traditional bicycle-sharing, e-bike-sharing is better positioned to complement or compete with existing public transportation, or to even challenge established taxi services. In this paper, eight months of transaction data from a free-floating e-bike-sharing system in Zürich, Switzerland, were used to study the market position of e-bike sharing and drivers of demand. The results of the analysis indicate that a large proportion of the trips are commuting, and that the distance range of e-bike-sharing trips overlaps with the distance ranges of traditional public transportation and taxi services. Intensity of use is sensitive to precipitation. Spatial regression modeling indicates that economic and social activity, public transportation service quality, and the availability of bicycle infrastructure are key drivers of demand for free-floating e-bike-sharing. Given the substantial differences in the service compared with traditional bicycle-sharing, a new fifth generation of bicycle-sharing schemes is proposed.

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.

An Integer Programming Optimization Model of Container Shipping of Sea-Carriage

2012 ◽  
Vol 220-223 ◽  
pp. 2678-2683
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Integer Programming ◽  
Objective Function ◽  
Optimization Model ◽  
Container Shipping ◽  
Empty Container ◽  
Shipping Company ◽  
Shipping Cost ◽  
Total Profit ◽  
Empty Containers ◽  
The Cost

The paper dose research about the optimization of container shipping of sea –carriage for meeting the goods transport requirement by use of integer programming. Both laden and empty containers are combined into a system. In particular, the effect of special laden container shipping capacity on the shipping plan is investigated. In the model, the objective function is to maximize the total profit of container shipping. The profit caused by laden container shipping minus the cost caused by both laden and empty container shipping equal to the total profit. The constraints to the model include meeting the need of both laden and empty containers, shipping limit to both common and special laden containers , the number of empty container supported. Lingo9.0 is used to solve the model and shipping methods in varied parameters are shown by simulation. The aim of the paper is to provide a reasonable plan of container shipping of sea-carriage, so the container shipping cost of a shipping company can be reduced and the its profit made by container shipping are maximized.

A Stochastic Programming Optimization Model of Container Shipping of Sea-Carriage

2013 ◽  
Vol 411-414 ◽  
pp. 2715-2720
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Integer Programming ◽  
Stochastic Programming ◽  
Optimization Model ◽  
Container Shipping ◽  
Empty Container ◽  
Shipping Company ◽  
Shipping Cost ◽  
Total Profit ◽  
Empty Containers ◽  
The Cost

The paper dose research about the optimization of container shipping of sea carriage for meeting the goods transport requirement by use of stochastic programming. Both laden and empty containers are combined into a system. In particular, the effect of special laden container shipping capacity on the shipping plan is investigated. In the model, the objective function is to maximize the total profit of container shipping. The profit caused by laden container shipping minus the cost caused by both laden and empty container shipping equal to the total profit. The constraints to the model include meeting the need of both laden and empty containers, shipping limit to both common and special laden containers, the number of empty container supported. The number of empty containers is stochastic and the model is transmitted to an integer programming. Lingo9.0 is used to solve the model and shipping methods in varied parameters are shown by simulation. The aim of the paper is to provide a reasonable plan of container shipping of sea-carriage, so the container shipping cost of a shipping company can be reduced and the its profit made by container shipping are maximized.

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.

scholarly journals Storage allocation optimization model in a Colombian company

DYNA ◽  
2019 ◽  
Vol 86 (209) ◽  
pp. 255-260 ◽  
Author(s):  
Julian Andres Zapata-cortes ◽  
Martin Dario Arango-Serna ◽  
Frank Alexander Ballesteros Riveros ◽  
Wilson Adarme - Jaimes
Keyword(s):  
Optimization Model ◽  
Cost Efficiency ◽  
Time Horizon ◽  
Material Handling ◽  
Storage Allocation ◽  
Product Allocation ◽  
Allocation Model ◽  
Specific Position ◽  
Material Handling Costs ◽  
The Cost

The storage allocation in warehouse is about of deciding the corresponding areas in which the products must be allocated. It can be made using different techniques to stablish the specific position for the products. Some applications provide solutions and evaluate results independently, allowing the identification of its potential in warehouses. This paper presents the application of a storage allocation model in a food company considering several products in a defined time horizon. The algorithm identifies the operation area and the corresponding spaces that are required for the products allocation, aimed to reduce holding and material handling costs. As a result, the application of the algorithm produces a complete product allocation in each period and improves the cost efficiency in the warehouse.

Sign in / Sign up

Export Citation Format

Share Document