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今天小編為您帶來期刊論文《考慮公平關切及其談判破裂點的供應鍊運作》1.1 假設和符号說明。
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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
本期推文将從思維導圖、精讀内容、知識補充三個方面介紹期刊論文《考慮公平關切及其談判破裂點的供應鍊運作》假設和符号說明。
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.
思維導圖：Mind mapping
精讀内容：Intensive reading content
本小節描述了模型假設和符号說明。首先本文考慮單供應商-單零售商組成的兩級供應鍊系統，雙方均有公平偏好的行為傾向。零售商面對随機需求的單周期銷售市場，每個單期銷售季節開始之前進行訂貨，銷售開始後不再進行補貨，為了簡化計算，不考慮缺貨成本和商品殘值。其次，在假設部分假設D ＞ 0 表示銷售季節的随機市場需求，其機率密度函數和累積分布函數分别為f( x)和F( x)。然後描述各個參數的含義，p為機關商品的銷售價格; c為機關商品的成本;q 為 零售商的訂購量。最後定義了失敗率函數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.
知識補充：Knowledge supplement
1、機率密度函數 Probability density function
在數學中，連續型随機變量的機率密度函數是一個描述這個随機變量的輸出值，在某個确定的取值點附近的可能性的函數。而随機變量的取值落在某個區域之内的機率則為機率密度函數在這個區域上的積分。當機率密度函數存在的時候，累積分布函數是機率密度函數的積分。
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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參考文獻：[1] 聶騰飛, 何碧玉, 杜少甫. 考慮公平關切及其談判破裂點的供應鍊運作 [J]. 管理科學學報, 2017, 20(10): 92-102.
文案|Whisper
排版|Whisper
稽核|Wang