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供应链管理是对货物和服务流动的管理,包括将原材料转化为最终产品的所有过程。它涉及积极精简企业的供应方活动,以使客户价值最大化,并在市场上获得竞争优势。

assignmentutor-lab™ 为您的留学生涯保驾护航 在代写供应链管理supply chain management方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写供应链管理supply chain management代写方面经验极为丰富,各种代写供应链管理supply chain management相关的作业也就用不着说。

我们提供的供应链管理supply chain management及其相关学科的代写,服务范围广, 其中包括但不限于:

  • Statistical Inference 统计推断
  • Statistical Computing 统计计算
  • Advanced Probability Theory 高等概率论
  • Advanced Mathematical Statistics 高等数理统计学
  • (Generalized) Linear Models 广义线性模型
  • Statistical Machine Learning 统计机器学习
  • Longitudinal Data Analysis 纵向数据分析
  • Foundations of Data Science 数据科学基础
经济代写|供应链管理代写supply chain management代考|COVID-19

经济代写|供应链管理代写supply chain management代考|Product Support Services

To attract more customers, sellers (suppliers, manufacturers, or retailers) often offer products that come with services attached to the product, such as free product warranties, product delivery tracking information, ease of recycling, or travel insurance. These services come in different forms, at different times, and can be provided in various ways, either in-person or remotely. Naturally, these support services affect consumer’s product choices, especially those credence goods, such as sustainable products (c.f., Howells 2004). Product support services may also have cross-effects on the purchasing decision attributes. For example, Bindroo et al. (2020) reported that consumers’ behavioral intentions lean toward choosing product quality over service. A direct managerial implication of this is to realize that quality improvements in the product should be complemented, not substituted, by improvements in service quality. Having nuanced the complexity of cross-effects of purchasing factors for sustainable products, next we consider two other attributes that we categorize as parts of support services to accompany: ease of access to product information and special product end-of-life services such as recycling.

Almost all consumers conduct searches to learn about the product they want to purchase, or to compare with other competing substitutes. The Internet, main enabler for this capacity especially for the products sold online, may offer the searching-consumer (the shopper) more information than traditional outlets such as mail-in catalogs. flyers, newspapers, or word-of-mouth would provide. There is no doubt that the Internet is essential to contemporary buying, and hence, a vital touch point for companies, especially e-tailers and retailers utilizing omnichannel strategies, to sell their products. At the outset, and as expected (Burke, 1997), home shopping has been convenient and profitable, and recently, a necessity during the COVID-19 pandemic lockdown. Consumers’ preference for online shopping inevitably has shifted the supply chain’s dominant power mostly from manufacturers to retailers. This has resulted in new types of logistical challenges and opportunities pertinent to consumer’s time and place utilities.

Companies have been using the Internet to provide detailed information on their products, information that does not fit on a label. Also, in this digital age, company websites help inform, advertise, and signal confidence in their products through transparency. As discussed in Jarvenpaa and Staples (2000), collaborative electronic media is an effective means for information sharing. This is particularly true for the younger populations (generations $\mathrm{Y}$ and Z, a.k.a., “digital natives”) who are concerned with natural environment, sustainability, and social justice. Celebi (2015) noted the positive motivations of young individuals toward the Internet as well as their positive attitudes toward advertising and research. Selwyn et al. (2003) also found that older adults (generations preceding GenY, a.k.a., “digital immigrants”) who used information and communication technology in everyday life shared information on sustainable and healthy products. As Young et al. (2017) posited, social media could be used to influence consumption behavior such as in reducing household food waste. Information campaigns and laws by central and local governments have helped change consumer habits and attitudes.

经济代写|供应链管理代写supply chain management代考|RLturn Policy

Consumers may return their purchases for a variety of reasons such as the product being the wrong size or color, malfunctioning, or simply because it does not fit their expectations or tastes. A return policy, which specifies the conditions of the return process (by whom, to where, return period, refund options, returning costs, return time window, etc.), acts as a risk reliever for the customer which may enhance market demand. It is also the main reason why many consumers comfortably purchase products they have never used or sometimes have never even heard of without hesitation. Conversely, if not managed effectively and efficiently, lenient return policies may not only hurt the company’s financial bottom line (Ülkü et al. 2013), they may also cause negative consumer reactions against sellers if returns are denied (Dailey and Ülkü 2018). For the supply chain partners, returns generally relate to the movement of excess stocks from retailers toward upstream channel members (Padmanabhan and Png 1995). The conditions of those commercial returns are generally included in the contracts and warranties in such B2B markets.

As mentioned earlier, products can be returned for many reasons. Besides verifiable reasons such as malfunctioning or wrong color, there may nay be other reasons such product might have turned out to be different than advertised (e.g., erroneous information); the product might have arrived damaged (e.g., improper handling during shipment or poor quality); or the consumer might simply have changed his or her mind after the purchase (c.f., Ülkü and Gürler 2018). At the end of it all, many producers and retailers end up with used/unwanted items that they have to find a way to resell or recycle, or in a worst-case scenario, it becomes waste in landfills. If there were no returns in the first place, it would be safe to say that the introduction of sustainable products would not do as well because no one would be willing to take the risk. Return policies are all-in-all beneficial to the entire supply chain and in the long run, the environment, if the reverse logistics is handled efficiently and sustainably.

Most studies on return policies within the supply chain have investigated the upstream dynamics between the manufacturers (suppliers) and the retailers (buyers). For instance, Yao et al. (2005) claimed that return policies encouraged retailers to order more of a product, especially those with short life cycles such as books, compact discs, and computers. Emmons and Gilberts (1998) examined the effects of a return policy on the manufacturer’s and retailer’s profits and found that a return policy could increase both parties’ profits and eventually those of the supply chain. Similarly, Choi et al. (2004) studied the whole two-stage supply chain and found that a manufacturer could sell returned products online and at even higher prices. For perishable products, Pasternack (1985) showed that full credit/refund returns, or no credit returns for all unsold goods are suboptimal, while partial credit returns can achieve channel coordination.

经济代写|供应链管理代写supply chain management代考|COVID-19

供应链管理代考

经济代写|供应链管理代写供应链管理代考|产品支持服务


为了吸引更多的顾客,卖方(供应商、制造商或零售商)通常提供附带服务的产品,如免费产品保修、产品交货跟踪信息、易于回收或旅游保险。这些服务在不同的时间以不同的形式提供,可以以各种方式提供,可以亲自提供,也可以远程提供。自然,这些支持服务影响消费者的产品选择,特别是那些信誉产品,如可持续产品(c.f., Howells 2004)。产品支持服务也可能对购买决策属性产生交叉影响。例如,Bindroo等人(2020)报告称,消费者的行为意图倾向于选择产品质量而不是服务。这一点的一个直接管理含义是认识到,产品质量的改进应该由服务质量的改进来补充,而不是取代。在细致分析了可持续产品的采购因素的交叉影响的复杂性之后,接下来我们考虑了另外两个属性,我们将它们分类为辅助服务的一部分:获取产品信息的便利性和特殊的产品寿命结束服务,如回收


几乎所有的消费者进行搜索是为了了解他们想购买的产品,或与其他竞争的替代品进行比较。互联网是这一能力的主要推动者,特别是对于在线销售的产品,它可能为搜索消费者(购物者)提供比邮寄目录等传统渠道更多的信息。传单、报纸或口口相传会提供帮助。毫无疑问,互联网对当代的购买是必不可少的,因此,它是公司,特别是利用全渠道战略的电子零售商和零售商销售产品的一个重要接触点。一开始,正如预期的那样(Burke, 1997),在家购物既方便又有利可图,最近,在COVID-19大流行封锁期间,在家购物成为了一种必需品。消费者对网上购物的偏好不可避免地将供应链的主导力量从制造商转移到了零售商。这导致了与消费者的时间和地点相关的新型物流挑战和机遇


公司一直在利用互联网提供其产品的详细信息,这些信息并不适合贴在标签上。此外,在这个数字时代,公司网站通过透明度帮助告知、宣传和显示对其产品的信心。正如Jarvenpaa和Staples(2000)所讨论的,协作电子媒体是信息共享的一种有效手段。这对关注自然环境、可持续性和社会公正的年轻人群($\mathrm{Y}$世代和Z世代,又名“数字原生代”)来说尤其如此。Celebi(2015)注意到年轻人对互联网的积极动机以及他们对广告和研究的积极态度。Selwyn等人(2003年)还发现,在日常生活中使用信息和通信技术的老年人(在GenY之前的几代人,又称“数字移民”)分享了关于可持续和健康产品的信息。正如Young等人(2017)所假设的那样,社交媒体可以用来影响消费行为,例如减少家庭食物浪费。中央和地方政府的宣传运动和法律帮助改变了消费者的习惯和态度

经济代写|供应链管理代写supply chain management代考|RLturn Policy


消费者可能会因为各种各样的原因退货,比如产品的尺寸或颜色不对,故障,或者只是因为产品不符合他们的期望或口味。退货政策规定了退货过程的条件(由谁、到哪里、退货期限、退货选择、退货成本、退货时间窗口等),为客户减轻了风险,可能提高市场需求。这也是许多消费者毫不犹豫地购买他们从未使用过或有时甚至从未听说过的产品的主要原因。相反,如果不进行有效和高效的管理,宽松的退货政策可能不仅会损害公司的财务底线(Ülkü et al. 2013),如果拒绝退货,也可能导致消费者对卖家的负面反应(Dailey和Ülkü 2018)。对于供应链合作伙伴,回报通常与过剩库存从零售商向上游渠道成员的移动有关(Padmanabhan和Png, 1995年)。这些商业回报的条件通常包括在这种B2B市场的合同和保证中


如前所述,产品可以因多种原因被退货。除了可证实的原因,如故障或错误的颜色,可能还有其他原因,这类产品可能被证明与宣传的不同(例如,错误的信息);产品到达时可能已经损坏(例如,运输过程中处理不当或质量低劣);或者消费者可能只是在购买后改变了主意(c.f., Ülkü和Gürler 2018)。最后,许多生产者和零售商不得不想办法转售或回收使用过的/不想要的物品,或者在最糟糕的情况下,它们变成了垃圾填埋场的垃圾。如果一开始就没有回报,可以肯定地说,引入可持续产品不会有同样的效果,因为没有人愿意承担风险。如果逆向物流得到有效和可持续的处理,退货政策对整个供应链和长期的环境都是有利的


大多数关于供应链内退货政策的研究都考察了制造商(供应商)和零售商(买家)之间的上游动态。例如,Yao等人(2005)声称,退货政策鼓励零售商订购更多的产品,特别是那些生命周期较短的产品,如书籍、光盘和电脑。埃蒙斯和吉尔伯特(1998)研究了退货政策对制造商和零售商利润的影响,发现退货政策可以增加双方的利润,最终增加供应链的利润。同样,Choi等人(2004)研究了整个两阶段供应链,发现制造商可以在网上以更高的价格销售退货产品。对于易变质的产品,Pasternack(1985)表明,完全信用/退款退货,或没有信用退货的所有未售出的商品是次优的,而部分信用退货可以实现渠道协调

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金融工程代写

金融工程是使用数学技术来解决金融问题。金融工程使用计算机科学、统计学、经济学和应用数学领域的工具和知识来解决当前的金融问题,以及设计新的和创新的金融产品。

非参数统计代写

非参数统计指的是一种统计方法,其中不假设数据来自于由少数参数决定的规定模型;这种模型的例子包括正态分布模型和线性回归模型。

广义线性模型代考

广义线性模型(GLM)归属统计学领域,是一种应用灵活的线性回归模型。该模型允许因变量的偏差分布有除了正态分布之外的其它分布。

术语 广义线性模型(GLM)通常是指给定连续和/或分类预测因素的连续响应变量的常规线性回归模型。它包括多元线性回归,以及方差分析和方差分析(仅含固定效应)。

有限元方法代写

有限元方法(FEM)是一种流行的方法,用于数值解决工程和数学建模中出现的微分方程。典型的问题领域包括结构分析、传热、流体流动、质量运输和电磁势等传统领域。

有限元是一种通用的数值方法,用于解决两个或三个空间变量的偏微分方程(即一些边界值问题)。为了解决一个问题,有限元将一个大系统细分为更小、更简单的部分,称为有限元。这是通过在空间维度上的特定空间离散化来实现的,它是通过构建对象的网格来实现的:用于求解的数值域,它有有限数量的点。边界值问题的有限元方法表述最终导致一个代数方程组。该方法在域上对未知函数进行逼近。[1] 然后将模拟这些有限元的简单方程组合成一个更大的方程系统,以模拟整个问题。然后,有限元通过变化微积分使相关的误差函数最小化来逼近一个解决方案。

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随机分析代写


随机微积分是数学的一个分支,对随机过程进行操作。它允许为随机过程的积分定义一个关于随机过程的一致的积分理论。这个领域是由日本数学家伊藤清在第二次世界大战期间创建并开始的。

时间序列分析代写

随机过程,是依赖于参数的一组随机变量的全体,参数通常是时间。 随机变量是随机现象的数量表现,其时间序列是一组按照时间发生先后顺序进行排列的数据点序列。通常一组时间序列的时间间隔为一恒定值(如1秒,5分钟,12小时,7天,1年),因此时间序列可以作为离散时间数据进行分析处理。研究时间序列数据的意义在于现实中,往往需要研究某个事物其随时间发展变化的规律。这就需要通过研究该事物过去发展的历史记录,以得到其自身发展的规律。

回归分析代写

多元回归分析渐进(Multiple Regression Analysis Asymptotics)属于计量经济学领域,主要是一种数学上的统计分析方法,可以分析复杂情况下各影响因素的数学关系,在自然科学、社会和经济学等多个领域内应用广泛。

MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中,其中问题和解决方案以熟悉的数学符号表示。典型用途包括:数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发,包括图形用户界面构建MATLAB 是一个交互式系统,其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题,尤其是那些具有矩阵和向量公式的问题,而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问,这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展,得到了许多用户的投入。在大学环境中,它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域,MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要,工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数(M 文件)的综合集合,可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

R语言代写问卷设计与分析代写
PYTHON代写回归分析与线性模型代写
MATLAB代写方差分析与试验设计代写
STATA代写机器学习/统计学习代写
SPSS代写计量经济学代写
EVIEWS代写时间序列分析代写
EXCEL代写深度学习代写
SQL代写各种数据建模与可视化代写