建立了由一个制造商和一个分销商组成的基于电子市场的二级供应链模型,讨论了分销商采用Bricks and Clicks模式分销产品,并在电子渠道进行季节后销售的情况,分析了供应链的契约协调问题及供应链成员的利润情况.研究发现改进的回购契约...建立了由一个制造商和一个分销商组成的基于电子市场的二级供应链模型,讨论了分销商采用Bricks and Clicks模式分销产品,并在电子渠道进行季节后销售的情况,分析了供应链的契约协调问题及供应链成员的利润情况.研究发现改进的回购契约可以使Bricks and Clicks分销模式下基于电子市场的二级供应链模型达到协调,使分销商的订货量达到供应链最优,并且使供应链成员的利润达到Pareto改进,达到"双赢".最后,通过算例验证了结论.展开更多
This note deals with how to position bricks so that m aximizing the numbers of whole brick in a given area. A method by genetic algori thm is given to solve this problem. By this method, the numbers of whole brick a n...This note deals with how to position bricks so that m aximizing the numbers of whole brick in a given area. A method by genetic algori thm is given to solve this problem. By this method, the numbers of whole brick a nd their position are gained when given areas are convex polygon and brick is re ctangular, and you can easily design a CAD soft to optimize the scheme of positi oning bricks. It is huge advantage by this method when given areas are nonregula r. Some rules of parameter’s influence to algorithm are pointed out by computer simulation. The first section states the problem and the math model of problem is given out. The second section gives out the solution by genetic algorithm, in cluding description of genetic algorithm and steps of algorithm about proble m of positioning bricks. The third section gives a computer simulation example. The last section is some discussions about this algorithm, including the influen ce of parameter to algorithm and optimizing parameter. Some rule is gained.展开更多
文摘建立了由一个制造商和一个分销商组成的基于电子市场的二级供应链模型,讨论了分销商采用Bricks and Clicks模式分销产品,并在电子渠道进行季节后销售的情况,分析了供应链的契约协调问题及供应链成员的利润情况.研究发现改进的回购契约可以使Bricks and Clicks分销模式下基于电子市场的二级供应链模型达到协调,使分销商的订货量达到供应链最优,并且使供应链成员的利润达到Pareto改进,达到"双赢".最后,通过算例验证了结论.
文摘This note deals with how to position bricks so that m aximizing the numbers of whole brick in a given area. A method by genetic algori thm is given to solve this problem. By this method, the numbers of whole brick a nd their position are gained when given areas are convex polygon and brick is re ctangular, and you can easily design a CAD soft to optimize the scheme of positi oning bricks. It is huge advantage by this method when given areas are nonregula r. Some rules of parameter’s influence to algorithm are pointed out by computer simulation. The first section states the problem and the math model of problem is given out. The second section gives out the solution by genetic algorithm, in cluding description of genetic algorithm and steps of algorithm about proble m of positioning bricks. The third section gives a computer simulation example. The last section is some discussions about this algorithm, including the influen ce of parameter to algorithm and optimizing parameter. Some rule is gained.
