When large scale emergency incident happens, the multi-category emergency goods distribution is a complex problem. To improve structure and efficiency of emergency goods distribution, a multi-objective non-linear opti...
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(纸本)9781424473281
When large scale emergency incident happens, the multi-category emergency goods distribution is a complex problem. To improve structure and efficiency of emergency goods distribution, a multi-objective non-linear optimization programmingmodel for emergency goods distribution is established. modeling precondition is analyzed in detail, some objectives such as minimizing the waiting time, the transportation cost, the preference of selecting emergency commodity distribution center (ECDC) and so on are taken into account. The constraints of the model including total demand quantity and structure of disaster area, the transportation quantity and time from each ECDC are considered. The penalty factor method is employed to transform above model into an easy one, then GA is employed. The encoding system for multi-category emergency goods distribution is introduced, and the basic implement steps of GA are given in detail. The typical instance abstracted from practice is adopted to validate the validity of above model and algorithm, the experiment result shows that above model can describe the practical demand of multi-category emergency goods distribution, and GA is suitable for solving some complex non-linearprogramming problems such as multi-category emergency goods distribution. Above model and algorithm will benefit for the emergency goods distribution practice.
In terms of the design of the Core Section,aiming at the half of the core circumcircle, for the case of the Core Section without the Cooling Oil Pan,this paper firstly establishes a non- linearprogrammingmodel takin...
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In terms of the design of the Core Section,aiming at the half of the core circumcircle, for the case of the Core Section without the Cooling Oil Pan,this paper firstly establishes a non- linearprogrammingmodel taking the objective function that the geometric cross-sectional area of the column core is the ***,on the basis of analyzing the case of Cross Section with the Cooling Oil Pans another non-linear programming model is estabished to make the geometric cross- sectional area of the core column be the largest and the adjacent area of the two parts divided by the Cooling Oil Pans be equal as much as ***,the series of the section and the width and thickness of the silicon steel sheets at all levels are fixed while the effective cross-section of the core column is *** last,to the two instances,this paper analyses the effects of the addition of the Cooling Oil Pans on the design for Cross Section.
This paper addresses planning a set of jobs on a sequence of machines considering the possibility of producing and delivery in batches either to other stages for further processing or to customers in a supply chain ne...
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This paper addresses planning a set of jobs on a sequence of machines considering the possibility of producing and delivery in batches either to other stages for further processing or to customers in a supply chain network. Determining batch size at each stage unavoidably is of importance at this point. Using large batch size can put away some costs but time is wasted as trade-of. Small batch size can speed up the process but certain costs are increasing. To represent both time and costs aspects, a nonlinear integer mathematical model with the objective function of minimizing both time and costs simultaneously is studied and applied to determine (production) batch size to match up the flow of production at manufacturer with the demand required at retailers and appropriate means of shipment (transfer batch size). In view of the fact that time and costs are different in units;this paper furthermore investigates the relationship between them through varying coefficients and parameters. Since this problem is classically NP-hard at each stage of supply chain;the acceptable production and transfer batch sizes are obtained using the advantage of random search approach. The numerical illustrations and results substantiate that the model proposed is useful to simultaneously consider both time and costs when determining batch size at each stage in a supply chain network and it is not necessary to use the same batch size when manufacturing and transferring. Moreover, we found that the conversion factor is statistically robust to the objective function value when the ratio of the production time over the setup time is not high.
According to the fact of oilfield development, the oil production and profit of an oilfield were divided into nine parts. Considering the restriction of investment and cost, a nonlinearprogrammingmodel for oilfield ...
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According to the fact of oilfield development, the oil production and profit of an oilfield were divided into nine parts. Considering the restriction of investment and cost, a nonlinearprogrammingmodel for oilfield development based on maximum profit was built. In order to get the optimal solution in the global, a kind of nonlinear optimal algorithm based on genetic algorithm was given and validated using the actual data of oilfield development, and a set of satisfactory solutions has been obtained.
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