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.
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 study proposes a dynamic trip pricing（DTP） problem considering the distribution imbalances of cars in one-way stationbased carsharing *** the DTP problem,the trip prices are functions of the balancing degrees o...
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This study proposes a dynamic trip pricing（DTP） problem considering the distribution imbalances of cars in one-way stationbased carsharing *** the DTP problem,the trip prices are functions of the balancing degrees of both origin and destination *** DTP problem aims to maximize the expected profit of the carsharing system in a given planning horizon.A non-linear programming model is built for the DTP problem and solved by a particle swarm optimization *** proposed methods are validated and evaluated based on a larger number of randomly generated *** results indicate that the DTP scheme results in profit increment and car distribution improvement,which helps enhance user *** sensitivity analysis shows that the scheme is also helpful when the user price elasticities are ***,the DTP scheme is applicable to different types of price-demand relationship.
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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