Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Revised 13th Edition>

Instance

Suppose that two companies are the only manufacturers of a particular product; they compete against each other for market share. In planning a marketing strategy for the coming year, each company will select one of three strategies designed to take market share from the other company. The three strategies, which are assumed to be the same for both companies, are as follows:

Strategy 1: Increase advertising.

Strategy 2: Provide quantity discounts.

Strategy 3: Extend warranty.

A payoff table showing the percentage gain in the market share for Company A for each combination of strategies is shown in Table 5.5.

Doing so, Company A identifies the minimum payoff for each of its strategies, which is the minimum value in each row of the payoff table. These row minimums are shown in Table 5.6.

After comparing the row minimum values, Company A selects the strategy that provides the maximum of the row minimum values. This is called a maximin strategy. Thus, Company A selects strategy a1 as its optimal strategy; an increase in market share of at least 2% is guaranteed.

Considering the entries in the Column Maximum row, Company B can be guaranteed a decrease in market share of no more than 2% by selecting the strategy b3. This is called a minimax strategy. Thus, Company B selects b3 as its optimal strategy. Company B has guaranteed that Company A cannot gain more than 2% in market share.

Let us continue with the two-company market-share game and consider a slight modification in the payoff table as shown in Table 5.8. Only one payoff has changed.

Because these values are not equal, a pure strategy solution does not exist. In this case, it is not optimal for each company to be predictable and select a pure strategy regardless of what the other company does. The optimal solution is for both players to adopt a mixed strategy.

With a mixed strategy, each player selects its strategy according to a probability distribution.Weighting each payoff by its probability and summing provides the expected value of the increase in market share for Company A.

Company A will select one of its three strategies based on the following probabilities:
PA1 = the probability that Company A selects strategy a1
PA2 =  the probability that Company A selects strategy a2
PA3 = the probability that Company A selects strategy a3

Given the probabilities PA1, PA2, and PA3 and the expected gain expressions in Table 5.9, game theory assumes that Company B will select a strategy that provides the minimum expected gain for Company A. Thus, Company B will select b1, b2, or b3 based on
Min {EG(b1), EG(b2), EG(b3)}
When Company B selects its strategy, the value of the game will be the minimum expected gain. This strategy will minimize Company A’s expected gain in market share. Company A will select its optimal mixed strategy using a maximin strategy, which will maximize the minimum expected gain. This objective is written as follows:

Define GAINA to be the optimal expected gain in market share for Company A.

Now consider the game from the point of view of Company B. Company B will select one of its strategies based on the following probabilities:
PB1 = the probability that Company B selects strategy b1
PB2 = the probability that Company B selects strategy b2
PB3 = the probability that Company B selects strategy b3

The expression for the expected loss in market share for Company B for each Company A strategy is provided in Table 5.10.

Company A will select a1, a2, or a3 based on
Max {EL(a1), EL(a2), EL(a3)}
When Company A selects its strategy, the value of the game will be the expected loss, which will maximize Company B’s expected loss in market share. Company B will select its optimal mixed strategy using a minimax strategy to minimize the maximum expected loss. This objective is written as follows:

Define LOSSB to be the optimal expected loss in market share for Company B.

Lingo 做线性规划 - Game Thoery的更多相关文章

  1. Lingo 做线性规划 - Asset allocation and Portfolio models

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  2. Lingo 做线性规划 - Revenue Management

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  3. Lingo 做线性规划 - DEA

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  4. Lingo 做线性规划 - Operation Management Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  5. Lingo 做线性规划 - Financial Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  6. Lingo 做线性规划 - Marketing Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  7. Lingo求解线性规划案例4——下料问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ 造纸厂接到定单,所需卷纸的宽度和长度如表 卷纸的宽度 长度 5 7 9 10000 30000 20000 工 ...

  8. Lingo求解线性规划案例1——生产计划问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ 说明: Lingo版本:                            某工厂明年根据合同,每个季度末 ...

  9. Lingo求解线性规划案例3——混料问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/  某糖果厂用原料A.B和C按不向比率混合加工而成甲.乙.丙三种糖果(假设混合加工中不损耗原料).原料A.B.C ...

随机推荐

  1. TinyXML:一个优秀的C++ XML解析器

    //-------------------------------------------------------------------------------------------------- ...

  2. swift 取出中间文本

    func  stringmid (wholestring:String,front:String,behind:String)->String { if wholestring.isEmpty ...

  3. TextField 的文字间距

    #import "XZCTextField.h" @implementation XZCTextField ////控制清除按钮的位置//-(CGRect)clearButtonR ...

  4. linux磁盘限额和进阶文件系统的管理 quota RAID LVM

    概念: Quota 的一般用途: 针对 WWW server ,例如:每个人的网页空间的容量限制! 针对 mail server,例如:每个人的邮件空间限制. 针对 file server,例如:每个 ...

  5. HTML小知识---Label

    今天知道了一个html小知识: <input type="checkbox" id="chkVersion" />                 ...

  6. 第一章 tomcat安装与启动

    一.安装 1.下载tomcat安装包 2.解压安装包 3.配置环境变量 打开~/.bash_profile文件,输入一下两句话: export TOMCAT_HOME=/Users/enniu1/De ...

  7. temp--test audio micphone

    DWORD CALLBACK waveInProc(HWAVEIN hWaveIn, UINT uMsg, DWORD dwInstance, DWORD dwParam1, DWORD dwPara ...

  8. [转] mhvtl虚拟磁带库的安装与应用

    转自:candon123  -- http://candon123.blog.51cto.com/704299/388192/ 1.获取mhvtl: 官方网站:http://mhvtl.nimsa.u ...

  9. C#字段中加入list<类字段> 的两种写法

    类1 public class NumCon { public string zsNum { get; set; } } 类2 public class RepeatMess //重复数据响应 { p ...

  10. PoEdu - C++阶段班- Lesson07 To Lesson10_C to C++

    07  重载导致的二义性 问题:为什么一定要重载呢?重载能方便我们注重函数的功能,当参数类型不确定时,我们能很便捷的利用重载的机制达到目的. 重载注意点:二义性 看代码: #include <c ...