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今天小编为您带来期刊论文《考虑公平关切及其谈判破裂点的供应链运作》1.1 假设和符号说明。
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Today, the editor brings “ Assumptions and notation of the journal article 《Supply chain operations considering fairness concerns and their negotiation rupture points》".
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内容摘要：Abstract
本期推文将从思维导图、精读内容、知识补充三个方面介绍期刊论文《考虑公平关切及其谈判破裂点的供应链运作》假设和符号说明。
This issue's tweet will introduce the journal article 《Supply chain operations considering fairness concerns and their negotiation rupture points》 from three aspects: mind mapping, detailed reading content, and supplementary knowledge, focusing on assumptions and notation.
思维导图：Mind mapping
精读内容：Intensive reading content
本小节描述了模型假设和符号说明。首先本文考虑单供应商-单零售商组成的两级供应链系统，双方均有公平偏好的行为倾向。零售商面对随机需求的单周期销售市场，每个单期销售季节开始之前进行订货，销售开始后不再进行补货，为了简化计算，不考虑缺货成本和商品残值。其次，在假设部分假设D ＞ 0 表示销售季节的随机市场需求，其概率密度函数和累积分布函数分别为f( x)和F( x)。然后描述各个参数的含义，p为单位商品的销售价格; c为单位商品的成本;q 为 零售商的订购量。最后定义了失败率函数g(x)。
This section describes the notation used in the model. Firstly, the study considers a two-tier supply chain system comprising a single supplier and a single retailer, both of whom exhibit a preference for fairness in their behavior. The retailer operates in a single-period sales market with stochastic demand, placing orders before each sales season and refraining from restocking once sales commence. To simplify calculations, stockout costs and residual values of goods are not considered. Secondly, under the assumption that D > 0 represents the random market demand for the sales season, with probability density function f(x) and cumulative distribution function F(x), the parameters are defined. Here, p denotes the selling price per unit of the product; c represents the cost per unit of the product; and q denotes the order quantity of the retailer. Finally, the failure rate function g(x) is defined.
知识补充：Knowledge supplement
1、概率密度函数 Probability density function
在数学中，连续型随机变量的概率密度函数是一个描述这个随机变量的输出值，在某个确定的取值点附近的可能性的函数。而随机变量的取值落在某个区域之内的概率则为概率密度函数在这个区域上的积分。当概率密度函数存在的时候，累积分布函数是概率密度函数的积分。
In mathematics, the probability density function of a continuous random variable describes the likelihood of obtaining a particular output value near a specific point. The probability that a random variable falls within a certain range is the integral of the probability density function over that range. When the probability density function exists, the cumulative distribution function is the integral of the probability density function.
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本文由LearningYard学苑整理并发出，如有侵权请联系删除。
参考文献：[1] 聂腾飞, 何碧玉, 杜少甫. 考虑公平关切及其谈判破裂点的供应链运作 [J]. 管理科学学报, 2017, 20(10): 92-102.
文案|Whisper
排版|Whisper
审核|Wang