毕业论文移动版

摘要：针对锂硫电池存在的主要问题：硫和固态放电产物电子绝缘、中间产物易溶于电解液并在正负极之间扩散穿梭、充放电过程电极摘要：在电子商务时代的基础下,网络游戏行业对于游戏点卡的销售也不断地在发展创新,老旧的销售方式已经被抛弃,在互联网技术的迅速发展下,逐渐出现了各种各样的销售模式,网红销售模式就是最为典型的代表之一.

在游戏点卡的销售过程中引入了返利销售的概念,通过达到一定金额的消费,对玩家返还一定比例的返利或者对玩家消费金额打一定折扣.本文所研究的是网红销售模式与直接销售模式分别带给公司的利润,同时在游戏点卡的销售过程中加入返利的因素,分析返利比例对销量的影响,根据不同的返利比例对消费者需求的影响,以及不同的消费金额对公司利润的影响,寻找出在两种游戏点卡的销售模式下最大利润的返利销售策略.最后结合所学知识,对游戏点卡销售优化问题进行建模,建立相应的数学模型,使用lingo对模型进行优化求解.

关键词:游戏点卡;网红销售模式;直接销售模式;返利;数学建模;lingo

Game cards sales rebate optimization

Abstract : On the basis of the era of e-commerce, the online game industry for game card sales are constantly in the development and innovation, the old sales mode has been abandoned, in the rapid development of Internet technology, developed a variety of sales model, Web celebrity sales model is one of the most typical representative Introduced in the process of the game card sales rebate sales concept, through reaches a certain amount of consumption, the players returned to a certain percentage of rebate or consumption amount to players play a discount.

In this paper the Web celebrity sales model and the direct sales model, respectively, to bring the company profits, at the same time, introduced in the process of the game cards sales rebate sales concept , analyzed the influence of the rebate ratio on sales, according to the different rebate percentage impact on consumer demand, and the consumption amount of different impact on corporate profits, find out in two kinds of game card sales mode rebate sales strategy of maximum profit.

In addition, Through the knowledge, modeling the problem, establishing mathematical model, using lingo to optimize the model.

Key words: game cards; celebrity sales mode; direct sales mode; rebate; mathematical modeling; lingo.

目录

1.绪论4

1.1背景及意义 4

1.2有关返利的研究 4

1.3有关游戏的研究 5

1.4研究的主要内容 5

2.返利的研究现状6

2.1返利的概念 6

2.2网购返利的特点 6

2.3网购返利生态链 7

2.4网购返利生态链模型 8

2.4.1传统销售模型 9

2.4.2网购返利模型 9

3.游戏点卡销售的返利模型.10

3.1模型描述 10

3.2模型展开 11

3.2.1直接销售模式 11

3.2.2网红代销模式 15

4.模型优化17

4.1直接销售模型优化 17

4.2网红销售模型优化 18

4.3混合模型 19

5.总结与展望...21