经济代写|供应链管理代写supply chain management代考|CUS522

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|DeRIVed Utility

The concept of utility (fitness for use, worthiness, or value) is based on relatable, global economic contributors. Economists have generally portrayed the creators of economic values as providing time (the product is delivered to the consumer at the right time), place (the product is available at the right location), possession (the amount of usefulness or perceived value from owning a product), and form (how well the product meets the customer’s needs) utility to consumers. For a product to possess utility, it should be judged based on its value and/or usefulness. In a classical sense, the utility function incorporates all four utilities as a proxy to consumer demand patterns, actual purchases, and sustainability. According to Scholz et al. (2015), there have been numerous methods applied to estimate the overall utility of a product, but they all appear to have shortcomings with respect to either accuracy or consumer effort. Such discrepancy may indicate a lack of trust between the seller and the buyer. As a remedy, sellers should develop and communicate social and environmental plans with short- and long-term goals that are ethical, sound, and manageable. Such actions can be applied to companies manufacturing various products, therefore increasing their value and utility.

For example, form utility is generally associated with production and manufacturing of products in a way that is of use to and valued by customers (Scholz et al. 2015). Winsor et al. (2004) related this concept to “goods” retailers, who make significant modifications to the products they sell to consumers. With environmental issues in manufacturing receiving increasing attention, many consumers would prefer to uphold global environmental values. According to Dornfeld and Wright (2007), the topic of “green business” has gained popularity with companies and consumers, emphasizing the need for greening of not only the manufacturing process but the whole supply chain. More than a decade earlier, Florida (1996) had considered manufacturing practices and innovative approaches that were environmentally sound as increasing product utility and value. He noted that firms who were innovative in terms of their manufacturing processes were also more likely to address environmental issues across the product life cycle and forge close relationships between end users and suppliers. The onus, he stated, was on companies to adopt green design and production strategies to address consumer demands while improving product utility, value, and quality.

经济代写|供应链管理代写supply chain management代考|Pronuct QuAlity

Product quality in a broad sense is defined as the superiority or excellence of a product (e.g., Reeves and Bednar 1994). There are, however, two major problems with this definition: First, it ignores the fact that a product’s quality can vary greatly, from a range of poor or unacceptable to superior. The second problem is the intrinsic element of subjectivity which is used to determine where the quality of the product lies, within what range, and how it is oriented. In a customer-driven organization (a for-profit company), quality is established with a focus on satisfying or exceeding the requirements, expectations, needs, and preferences of customers.

The meaning of quality also differs depending upon circumstance and perception. According to Owusu (2013), “Quality is how the recipient of the product or service views the product or service before buying, upon delivery and after the delivery/use. Quality is satisfying a customer and it is defined by a customer.” Many would look at a product and immediately connect quality to aspects such as color, material, texture, brand name, packaging, price, labels, or even just the product’s online reviews. Owusu (2013) suggested that the quality of tangible products is also time-based or situational. Macdonald and Sharp (2000) agreed and added that brand awareness for specific products affected consumer choices due to their perceived quality, e.g., “I’ve heard of the brand, so it must be good.” Likewise, Chang and Wildt (1994) stated that perceived quality is positively influenced by intrinsic product attribute information such as perceived price and value. Although some may assume that because a product is expensive, it is automatically of good quality; Sutton and Riesz (1979) cautioned that the price-quality relationship for certain consumer goods is often not positive. According to Sutton and Riesz (1979), it is apparent that the experience of value, or the relationship between quality and price, may be less relevant for product categories in which a consumer’s self-worth may be elevated through the act of purchase. Self-worth in this case would be referring to our focus on purchasing sustainable products. Thorgesen (2000) made it clear that

Knowing a label is a prerequisite for using it in decision making and understanding it is a prerequisite for using it correctly. Understanding a label implies that the person knows it exists, what it looks like, and what it means.

To do this, a consumer needs to be able to distinguish between the concepts of eco-labeling, and an unethical corporate practice, termed, “green washing.”

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|ASCl2022

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|ATTRIBUTES IMPACTING CONSUMER’S PURCHASING BEHAVIOR

We now focus on the accompanying attributes (factors) that consumers would consider in their decisions when purchasing a sustainable product, a product that has been manufactured or rendered with TBL considerations; responsibly sourced-made-delivered, environmentally friendly, and socially beneficial. To narrow down the number of articles, additional keywords/phrases were used, including demand and sustainability, consumer green demands, circular economy, fair trade products, green and organic products, and eco-labeling/designs.

After successive searches, 80 scholarly papers that met the criteria were extracted. The content of these articles was analyzed and evaluated to gain understanding of the accompanying decision factors consumers use when purchasing sustainable products. These selected papers were subjected to critical appraisal and evaluation. Each article was reviewed to determine its fit within one of the five categories (purchase price, derived utility, product quality, product support services, and returns policy) and relevance to product sustainability. Table $7.1$ lists 20 of these papers chosen as the most supportive examples for our discussions in this review.

Consumer behavior, an interdisciplinary branch of the field of marketing, emerged in the mid-20th century and keeps evolving with the changing dynamics of consumers, and the products. The study of consumer behavior focuses on the consumer’s emotional, mental, and physical responses for pre-, during, or post-purchase, use, disposal, or return of the product. Fach buying factor category (price, utility, quality, services, and return) is presented along with a detailed description of its relevance to the research question.

经济代写|供应链管理代写supply chain management代考|PURCHASE Price

Purchase price is perhaps the most influential decision attribute for the majority of consumers. However, there is a “value-action” gap (Young et al. 2010) when it comes to purchasing green products: many consumers are very concerned about environmental issues, but they are reluctant to purchase greener products. While many underlying factors influence the price of a product, many of the selected articles that were reviewed, justifiably, focused on consumers’ willingness to pay in relation to the purchase price (e.g., Choi and Parasa 2006; Ülkü and Gürler 2018). For example, Bartels and Onwezen (2014) noted consumers’ growing awareness of ethical concerns related to the environment and society. They conducted a study on consumers’ willingness to buy food products that make environmental and ethical claims. Participants provided demographic information (mainly education and income levels) and completed the online questionnaire. Their results demonstrated that consumers who fully supported sustainable agriculture and had the financial means were more willing to buy environmentally friendly and ethical products. In another study on sustainability and pricing, Ülkü and Hsuan (2017) highlighted consumers’ escalating concerns for unsustainable product development and the need for competitive pricing on modular products for green consumers. Similarly, Chen and Liu (2014) studied the theoretical and empirical analysis of pricing and design decisions for green products in a market that contains nonenvironmentally conscious products (brown products). they concluded that both environmentally conscious (green) and nonenvironmentally conscious (brown) consumers, under price leadership, play a role in product quality and pricing. Using a quality-based approach, Owusu (2013) also studied consumers’ perception of quality in relation to price while Chang and Wildt (1994) suggested that product features and price are major decision variables influencing purchase behaviors. In fact, Smith and Nagle (2002) concluded that conversus a cheaper competitive substitute. Erickson and Johansson (1985), however, stated that the price of a product is viewed as a constraint as it results in a reduction of consumer wealth despite its signaling of the product quality.

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|BX2135

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|Robustness CheCKING – MCDM

Finally, the robustness of the results has been checked via the MCDM model. The main idea in the MCDM approach was made that all of the previously mentioned output variables were examined as objectives that need to be the greatest possible. On the other hand, the input variables from the DEA approach were observed in MCDM as objectives that need to be the smallest possible. Thus, it is obvious that the objectives are conflicted, as it is a usual case in business decision-making. As 9 inputs and outputs variables are used in the MCDM, and the decision-maker can give weights to the objectives based on previous knowledge and experience, it was opted that all of the objectives have equal weights. In that way, the analysis is as objective as possible.

The rankings from the MCDM results have been contrasted to the rankings of the SBM model from the previous subsection. These comparisons are shown in Figure 6.5. It can be seen that the correlation between the two ranking systems is more than $80 \%$, which gives confidence that the results are reliable and can be used in future research as well.

The analysis in practice should not stop here. Now, with all information obtained as in previous subsections, the management, alongside financial experts and quantitative modellers, would need to focus on the specific aspect of the business, which is indicated in the poor-performing financial ratio results.

经济代写|供应链管理代写supply chain management代考|FURTHER POSSIBLE INTEGRATIONS OF DEA AND MCDM

Something which can be considered for future theoretical and empirical work is as follows. A researcher or the investor can opt for a multistep optimization process in which in the first step, the MCDM approach could be used on the initial data set. The obtained rankings could be used to divide companies into several groups: best-ranked ones, middle ones, and lowest-ranked ones. Each subgroup can be then evaluated via DEA models so that detailed insights can be obtained into the business characteristics of the best, middle, and worst-ranked companies. Something similar could be done in obtaining the DEA results first as was done in this research. Then, in the second step, the input excess and output slacks could be used in MCDM rankings so that the researcher can obtain one number (rank) regarding the company of interest concerning the excess and slacks of that company. Of course, these individual values are important for a company to make the best decisions possible on which inputs should be reduced and which outputs should be increased. However, to obtain fast results in terms of where the company is standing compared to others, such an approach could be useful. Other considerations for future work are examined in the conclusion section.

经济代写|供应链管理代写供应链管理代考|鲁棒性检查- MCDM

MCDM结果的排名与上一小节SBM模型的排名进行了对比。这些比较如图6.5所示。可以看出，两个排名系统之间的相关性大于$80 \%$，这表明结果是可靠的，可以用于未来的研究。

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|GMBA6017

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|Prescriptive ANALYTICS

• It is, as seen in Figure 2.6, concerned with what should occur in the future and what steps to be taken at the present to influence its occurrence-owning various judgements on the grounds of descriptive and predictive analytics, simulation, or mathematical optimisation, mainly building the knack of making decisions with several perspectives in mind [41].
• What and when aspects are being dealt by descriptive and predictive analytics, while Prescriptive Analytics contemplates on the reason behind its occurrence (“why it occurred”) [42].
• Data and information are collected continuously to trace back the events that provide the decision-makers with the opportunity to increase their prediction accuracy to make better choices.
• This model is associated with optimisation and simulation. Its main aim is to enhance business performance by unravelling the reason for the occurrence of certain events.Although this analytic technology is comparatively complicated to apply [43]. But when applied appropriately, they have the strongest influence on how organisations make judgement calls and decisions.
• The perspective analytic method uses the below mentioned two classes of algorithms

经济代写|供应链管理代写supply chain management代考|FUTURE OF SUPPLY CHAIN ANALYTICS

The emerging need to manage a voluminous amount of data and information and utilise the insights derived from it is establishing the pressure of the need for supply chain analytics. The heightening popularity among several organisations of the advantages of big data in the supply chain analytics is playing a significant role in escalating the demand for analytic solutions to enhance the perceptibility all over the supply chain enablers.
Big data in Supply chain analytics is capable of assisting a firm, organisation, or company in taking rapid, intelligent, cost-effective, and more efficient decisions.
The benefits include the following:

• Better apprehension of risks: By recognising the known risks, the supply chain analytics has the ability to predict the upcoming future risks by observing and perceiving trends and patterns all around the supply chain.
• Enhance precision in planning: Big data guides and assists an organisation in predicting the future demand better. It evaluates and analyses the customer data to ensure precise prediction. It provides several insights that help many organisations determine which products must be pruned when they are less beneficial and which products are in demand.
• All-around supply chain: Supply Chain technologies are used by organisations to gatherr customerr requirements, perform warehouse tracking and supervising, and collect responses of users and customers to make knowlédgeablé judgéments and décisiôns.
• Achieve a profitable ROI: With a betteer understanding of the data in the organisation throughout the supply chain, organisations can make smarter investments and receive higher returns [51].
Artificial intelligence is seen as the next step in supply chain analytics. It has been built with the ability to process the enormous volume of data and information (structured as well as unstructured) and afford insights in real-time [52]. Along with data retention and process automation, systems with $\mathrm{AI}$ are built with the potentiality to think, cogitate, reason, rationalise, learn, and improve like humans.

Advances of blockchain technologies along with AI [53] integration provide organisations with the ability to actively analyse and make predictions.

经济代写|供应链管理代写supply chain management代考|Prescriptive ANALYTICS

• 如图 2.6 所示，它关注的是未来应该发生什么以及当前采取什么步骤来影响其发生——基于描述性和预测性分析、模拟或数学优化的各种判断，主要是建立从多个角度进行决策的诀窍 [41]。
• 描述性和预测性分析正在处理哪些方面以及何时处理方面，而规范性分析考虑其发生背后的原因（“为什么发生”）[42]。
• 不断收集数据和信息以追溯事件，为决策者提供提高预测准确性以做出更好选择的机会。
• 该模型与优化和仿真相关。它的主要目的是通过解开某些事件发生的原因来提高业务绩效。尽管这种分析技术的应用相对复杂[43]。但如果应用得当，它们对组织如何做出判断和决策的影响最大。
• 透视分析法使用下面提到的两类算法

经济代写|供应链管理代写supply chain management代考|FUTURE OF SUPPLY CHAIN ANALYTICS

• 更好地理解风险：通过识别已知风险，供应链分析能够通过观察和感知供应链周围的趋势和模式来预测即将到来的未来风险。
• 提高规划的准确性：大数据指导和帮助组织更好地预测未来需求。它评估和分析客户数据以确保准确预测。它提供了一些见解，可帮助许多组织确定哪些产品在效益较差时必须修剪，以及哪些产品有需求。
• 全方位供应链：组织使用供应链技术来收集客户需求，执行仓库跟踪和监督，并收集用户和客户的响应，以做出明智的判断和决定。
• 实现可盈利的投资回报：通过更好地了解整个供应链中组织中的数据，组织可以进行更明智的投资并获得更高的回报 [51]。
人工智能被视为供应链分析的下一步。它具有处理大量数据和信息（结构化和非结构化）并提供实时洞察力的能力[52]。除了数据保留和流程自动化之外，具有一个我具有像人类一样思考、思考、推理、合理化、学习和改进的潜力。

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|PROJMGNT7030

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|DesCRIPTIVE ANALYTICS

• The primary stage of analytics in any decision-making scenario is descriptive analytics [33]. It provides solutions and explanations to the question of “What has happened” and apprehends and recapitulates the source data to a human-understandable format.
• It engages with particulars of what took place in the past, what is happening currently, and why, illustrated in Figure 2.4. Also, it provides a clear and universal source of details throughout the supply chain. Descriptive Analytics identifies the possibilities and opportunities in the Supply Chain.
• They are beneficial to exemplify the overall stock, the average amount consumed per user, and changes in sales per year. Some examples are intimation that furnishes information regarding past actions about the organisation’s manufacturing and presentation, economics and finances, operation and sales, and end-users.
• Techniques and approaches such as Regression, Modelling and Visualisation, and OLAP (online analytical processing) are used in descriptive analytics
• Descriptive Analytics functions can be divided into five categories:
• Determining organisation goals and metrics: Performance is evaluated with respect to the goals and that makes determining the critical metrics very important. Enhancing the returns, lowering the expenses, increasing efficiency are some of the common goals.
• Identification of the required data: There exist several sources from which the data can be extracted, such as desktops, warehouses, manual records. Understanding the requirements ensures proper planning to acquire the data and accurate extraction of the data [34].
• Data Extraction and Preparation: This step although consumes the maximum quantity of time duration is essential to ensure high precision. Removal of duplicate entries, transforming data to a standard format, and cleansing are a few steps involved in data preparation.
• Data Analysis and Processing: With the intention of identifying patterns and calculating performances, analysis models are created. Performance is evaluated for the initially mentioned goal by comparing it with past results [35]. R Programming and Python, open-source tools, are used to perform analysis.

经济代写|供应链管理代写supply chain management代考|Predictive ANALYTICS

• Predictive Analytics as shown in Figure $2.5$ engages with the possibilities of what could happen. It strives to make accurate predictions about the future and explore the reasons. It assists an enterprise in understanding the probable results in the future and its implications on the business [36].
• It can be applied during the business, from speculating the user behaviour and understanding designs to recognise inclinations in marketing and sales [37].
• Quantitative and qualitative methodologies are both used to process and analyse the past and present data to make predictions. Its goal is to project what is the possibility of events occurring in the future and the reason behind its occurrence [38].
• Predictive Analytics is associated with some techniques [39] and algorithms such as:
1. some methods used for estimating the sales in the supply chain are Advanced Forecasting and Time-series method
2. K-NN (Nearest Neighbour), Naive Bayes (NB), Discriminant Analysis are known Statistical algorithms being used for prediction
3. for the hierarchical consecutive structure, Random Forests and Decision trees are used
4. Identical or similar items in the humongous gathered data are grouped together accordingly using Clustering algorithms and Pattern-mining algorithms
• Understanding predictive analysis by developing a predictive model using regression analysis [40].
• Characterising the functioning of a random variable using a cluster of data mining or modelling approach with one or more numeric variables is known as regression.
• The straight-line technique, linear regression, is used to determine the relationship between the predictor and response variable.

经济代写|供应链管理代写supply chain management代考|DesCRIPTIVE ANALYTICS

• 在任何决策场景中，分析的主要阶段都是描述性分析 [33]。它为“发生了什么”的问题提供了解决方案和解释，并将源数据理解并概括为人类可以理解的格式。
• 它涉及过去发生的事情、当前发生的事情以及为什么发生的细节，如图 2.4 所示。此外，它还为整个供应链提供了清晰且通用的详细信息来源。描述性分析识别供应链中的可能性和机会。
• 它们有助于举例说明总体库存、每位用户的平均消费量以及每年的销售额变化。一些例子是提供有关组织的制造和展示、经济和财务、运营和销售以及最终用户的过去行动的信息的暗示。
• 描述性分析中使用回归、建模和可视化以及 OLAP（在线分析处理）等技术和方法
• 描述性分析功能可分为五类：
• 确定组织目标和指标：根据目标评估绩效，这使得确定关键指标非常重要。提高回报、降低费用、提高效率是一些共同目标。
• 所需数据的识别：可以从中提取数据的来源有多种，例如桌面、仓库、人工记录。了解需求可确保正确规划以获取数据并准确提取数据 [34]。
• 数据提取和准备：这一步虽然消耗了最大的持续时间，但对于确保高精度是必不可少的。删除重复条目、将数据转换为标准格式和清理是数据准备中涉及的几个步骤。
• 数据分析和处理：为了识别模式和计算性能，创建分析模型。通过将其与过去的结果进行比较来评估最初提到的目标的性能[35]。R Programming 和 Python 是开源工具，用于执行分析。

经济代写|供应链管理代写supply chain management代考|Predictive ANALYTICS

• 预测分析如图2.5参与可能发生的事情的可能性。它努力对未来做出准确的预测并探索原因。它帮助企业了解未来可能的结果及其对业务的影响[3​​6]。
• 它可以在业务中应用，从推测用户行为和理解设计到识别营销和销售的倾向 [37]。
• 定量和定性方法都用于处理和分析过去和现在的数据以做出预测。它的目标是预测未来发生事件的可能性及其发生背后的原因[38]。
• 预测分析与一些技术 [39] 和算法相关联，例如：
1. 用于估计供应链中销售额的一些方法是高级预测和时间序列方法
2. K-NN（最近邻）、朴素贝叶斯（NB）、判别分析是已知的用于预测的统计算法
3. 对于分层连续结构，使用随机森林和决策树
4. 使用聚类算法和模式挖掘算法将大量收集的数据中相同或相似的项目相应地分组在一起
• 通过使用回归分析开发预测模型来理解预测分析 [40]。
• 使用一组数据挖掘或建模方法与一个或多个数值变量来表征随机变量的功能称为回归。
• 直线技术，线性回归，用于确定预测变量和响应变量之间的关系。

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|JNB330

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|INTRODUCTION to Supply Chain ANALYTICS TECHNOLOGY

It exhibits the potentiality to take information-based judgements, with the grounds of the outline and overview obtained of the vast information, with the help of visual tools such as charts, diagrams, graphs, tables, and more. Supply chains produce enormous quantities of information. It provides assistance by discovering patterns and providing insights. Supply Chain Analytics enhances the process of making decisions for all tasks by making use of the data and quantitative and analytical methods [12].

Supply Chain Analytics lays down the foundation for businesses to accomplish the desired challenging growth, improve their profits, and increase their market shares by exploiting the derived insights from the gathered data.

Businesses, Organisations, Companies dealing with enormous amounts of data require Supply Chain Analytics to assist them in making faster, smarter, and more efficient decisions [13]. With Supply Chain Analytics, organisations can improve their forecasting, identify their drawbacks and inefficiencies, react better to user’s requirements and needs, drive innovation, and follow innovative ideas.
Supply Chain Analytics is required to:

• execute the precise solutions to specifically analyse, predict. and interpret data big
• identify the risk indicators
• responding in a punctual manner to the insights obtained
It is also known to be the fundamental foundation for involving cognitive technologies like artificial intelligence (AI). Cognitive technologies like humans perform understanding, reasoning, learning, and interacting but at aggressive speed and capacity. Such advancement with the supply chain has turned over a new leaf for the optimisation of big data [14].

经济代写|供应链管理代写supply chain management代考|OPPORTUNITIES FOR SUPPLY CHAIN ANALYTICS

With analytics, Supply Chain performs with high targets to enhance in several aspects, including user requirement prediction, Supply Chain assessment, the overall efficiency of Supply Chain, time taken to react, risk assessment.

• Enhancing predictions of user requirement: Understanding customer and user requirements plays a very vital role. Meeting the user’s requirements with the precise product and to the precise user at the precise time and place is key to earning and perpetuating customer satisfaction and loyalty.
• Enhancing efficiency: Incorporating analytics to approximately calculate and make decisions that are cost-efficient enhances the efficiency all-round the supply chain [18]. Reduction of cost and spend analytics has persistently been the top priority in Supply Chain.
• Refining Assessment of Risk in the Supply Chain: Better prediction and assessment of risk and its possible impact by evaluating an enormous amount of historical data and risk mapping techniques using predictive analysis to reduce the impact are highly essential.
• Upgrading traceability: For improved tracking of products from production to retail, enhancing traceability is essential. Upgraded tracking abilities provide much better control over several supply chain processes. The primary purpose is to guarantee a better flow of products.

经济代写|供应链管理代写supply chain management代考|INTRODUCTION to Supply Chain ANALYTICS TECHNOLOGY

• 执行精确的解决方案来具体分析、预测。并解释大数据
• 识别风险指标
• 及时回应所获得的见解
它也被认为是涉及人工智能 (AI) 等认知技术的基本基础。像人类这样的认知技术执行理解、推理、学习和交互，但速度和容量都非常大。供应链的这种进步为大数据的优化翻开了新的一页[14]。

经济代写|供应链管理代写supply chain management代考|OPPORTUNITIES FOR SUPPLY CHAIN ANALYTICS

• 增强对用户需求的预测：了解客户和用户需求起着非常重要的作用。以精准的产品满足用户的需求，在精准的时间和地点满足精准的用户需求，是赢得并保持客户满意度和忠诚度的关键。
• 提高效率：结合分析来近似计算并做出具有成本效益的决策，可以提高整个供应链的效率 [18]。降低成本和支出分析一直是供应链的首要任务。
• 完善供应链中的风险评估：通过评估大量历史数据和风险映射技术，使用预测分析降低影响，更好地预测和评估风险及其可能的影响是非常重要的。
• 升级可追溯性：为了改进从生产到零售的产品跟踪，增强可追溯性至关重要。升级后的跟踪能力可以更好地控制多个供应链流程。主要目的是保证更好的产品流通。

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|ASCl2022

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|Operations Strategy development

Operations Management decisions must be coherent with the corporate’s strategic choices. “Strategy is the direction and the scope of an organization over the long term: ideally, which matches its resources to its changing environment, and, in particular, its markets, customers or clients, so as to meet stakeholder expectations.” (Johnson et al., 2005) The process of strategic formulation, generally, but not exclusively, follows a top-down path and develops along three levels – corporate, business, and function in a manifestation of increasingly specific goals.

• At the corporate level, the long-term goals and guidelines are developed for the entire organization, deriving from the company’s vision (what we want to become) and the mission (why we exist).
• At the business level, distinct plans are developed for each Strategic Business Unit (SBU), in order to define the elements at the basis of the creation of competitive advantage, for the products and services offered to specific markets, or for each business area defined at the corporate level.
• At the function level, long-term plans are drawn up to assign to the functions Operations, Marketing, Finance, etc. – or to any other organizational structure that is chosen (by division, project, etc.), such that they can sustain the creation of competitive advantage, defined at the corporate or business level.

The hierarchical approach described, despite being guided by top-down indications, imposes two-way interaction, such that the function-level choices can contribute to the definition of business-level goals and so forth, in a bottom-up process. The decision-making weight of the choices coming “from the bottom” can be decisive, as argued by emergent strategies theories (Mintzberg and Waters, 1995), according to which the implementation of a strategy, rather than being based on a long-term hierarchical planning structure, can emerge from daily operational experience.

Therefore, Operations Strategy is located on the third level of the sequence described, and like other functional strategies, such as Marketing, Sales, and so on, is implemented through the preparation of the governance model (through the formulation of policies and plans) of decisions and strategic actions aimed at defining the role, objectives, and activities of operations in the long-term (Slack et al., 2016; Jacobs and Chase, 2018).

经济代写|供应链管理代写supply chain management代考|Order qualifier and order winner

From the resource-based perspective, the accumulation of skills and core competences of a company’s operations system in the long term will lead to successful performance, appropriately oriented towards the target markets; while in the market-driven perspective, operations must constantly adjust their strategy and management as a function of the needs expressed by the market. With the goal of satisfying customers’ requests, it is thus necessary for the Operations System to identify and select the key elements and performance levels on which to invest, aligning with – or better, anticipating – the expectations of the target customers. The competitive factors and performance goals can be divided into two categories, defined as order qualifier and order winner (Hill, 2005). A third category is added, defined as secondary or less important factors, that do not directly or significantly impact the possibility to beat out the competition and convince the customer to buy (Figure 1.4).
Order qualifier
The first category consists of all of the characteristics and performance profiles for which clients take into consideration the offer of a company’s products and services, on the same level as those of other competitors. These are factors and levels of performance, sometimes defined as “points of parity,” in the absence of which (or below which) a company loses any possibility to compete successfully. In fact, potential customers consider these factors to be indispensable, as “givens”, a necessary condition in order to take the company’s offer into consideration, although not sufficient to convince them to buy.
Order winner
The second category, often defined as “points of difference,” are the specific factors and elements of performance for which a given company, among the others with which it competes, acquires the customer’s trust and ultimately wins the order. These are factors that contribute directly and significantly to creating a successful business.

经济代写|供应链管理代写supply chain management代考|Operations Strategy development

• 在公司层面，为整个组织制定长期目标和指导方针，源于公司的愿景（我们想成为什么）和使命（我们为什么存在）。
• 在业务层面，为每个战略业务单元 (SBU) 制定不同的计划，以便在创造竞争优势的基础上定义要素，为特定市场提供的产品和服务，或定义的每个业务领域在企业层面。
• 在职能层面，制定长期计划以分配给运营、营销、财务等职能，或分配给任何其他选择的组织结构（按部门、项目等），以便它们能够维持在公司或业务层面定义的竞争优势的创造。

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|BX2135

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|The new paradigm of the Circular Economy

The need to provide clear answers to the dilemma linked to the trade-off between population growth and people’s aspirations to prosper, and the requirement to reduce the pressure on the environment and preserve the planet’s resources, defined as absolute coupling at both the macro-level (in the drafting of consistent policies) and the microlevel (influencing the conduct of companies and supply chains) has led to the development of the approach known as the Circular Economy (Ellen MacArthur Foundation, 2012; 2013).

This approach sets forth the need to base the development of an economy and its industrial system on the reuse of products and raw materials, and to the extent possible, the need to replenish natural resources. The Circular Economy is essentially based on the possibility of intentionally contemplating an industrial and economic system in which all waste streams and emissions can be a source of value creation, limiting environmental impact and moving towards the search for forms of decoupling that allow for sustainable development and the restorative capacity of natural resources.
As shown in Figure 1.2, the traditional development of an industrial cycle, shown in the center of the diagram, proceeds according to a linear logic that starts with the extraction of raw materials and moves towards production, consumption, and the destruction of value though waste disposal. On the contrary, sustainable development must be based on circular cycles, shown along the sides, which differ due to the nature of the reusable materials and products involved – that is, the biological and technical nutrients, respectively; the former are non-toxic and can be composted, hence guaranteeing the restorative capacity of natural resources, and the latter must be designed to have multiple life cycles from a cradle-to-cradle perspective, achieved through their reuse with the aim of minimizing the impact on environmental resources.

经济代写|供应链管理代写supply chain management代考|Sustainability and operations management

Operations Management choices must therefore be adopted from the binding perspective of Sustainability. Too often, the goals of efficiency and business are placed ahead of those of environmental and social sustainability.

With the goal of providing a synthetic presentation of how sustainability goals cut across decisions regarding Operations and Supply Chain Management, we refer here to the seminal work of Corbett (2009), which puts forward an effective approach for outlining the areas of possible interaction between the business processes developed during the lifetime of a product and their implications in terms of sustainability. For our purposes, the original model has been modified and integrated with the goal of emphasizing the link between the stages of the Life Cycle of the product and the players along an ideal supply chain involved in their management. As illustrated in Figure 1.3, and as will be stated in the next paragraphs, the goals assigned to the departments and company managers of the different phases of a product life cycle must necessarily derive from broader strategic goals, typically linked to positioning choices of the focal company that governs the supply chain, and shared, although through mediation processes, with other players. The consistency between higher-ranking corporate goals and sub-goals pursued on a functional level or in a sub-set of the supply chain must emerge in the medium to long-term, guaranteeing strategic alignment (also defined as strategic fit), and a focus on defined priorities.

The central part of the diagram compares, on the one hand, the three components of sustainability, previously summarized in the Triple Bottom Line concept and on the other hand, the typical phases along which the product life cycle is developed, according to the cradle-to-cradle approach, assuming a Circular Economy Perspective. This perspective is based on the development of products and processes designed so as to generate (or save) value in several life cycles through the reuse of their parts (or at least some of them) at the end of their lifetime.

In order to integrate Corbett’s proposal (2009) based on product life cycle with the need to highlight all the main players in the supply chain and accountable for its management, the Figure also illustrates the sequence of internal and external players and departments involved in each stage of the product lifecycle. In this regard, the main phases can be summarized as follows.

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。

经济代写|供应链管理代写supply chain management代考|BUSN2046

statistics-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。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|The scope of this book

With the goal of correctly framing the issues treated below, it seems appropriate to provide some initial remarks allowing us to define the perimeter of analysis of this book (Grando et al., 2007).

Each organization has an Operations function, because each business produces goods and/or services through processes, consuming resources to produce its outputs. In reality, operations exist within each company function. Creating a marketing campaign requires operations activities to select, coordinate, and manage media partners, prepare appropriate means of communication, conduct promotional activities, etc. Likewise, starting a selection of personnel entails performing operational activities linked to processes of receipt of resumes, their selection, preparation of interview calendars, etc.; just as closing a loan agreement with a bank or with outside lenders will require conducting operations. It is therefore useful to distinguish between Operations as an activity and Operations as a function, and their different meaning.

• “Operations as an activity means the management of the process within any of the organization’s functions.
• Operations as a function means the part of the organization which produces the products and the services for the organization’s external customers” (Slack et al., 2007, p. 15).

Below we will focus in particular on the second meaning, that is, the “business function that plans, organizes, coordinates, and controls the resources needed to produce a company’s goods and services” (Reid and Sanders, 2005, p. 3).

经济代写|供应链管理代写supply chain management代考|The sustainability imperative

To speak of sustainability, even from the specific perspective of Operations and Supply Chain Management that are the subject of this book, means confronting the question of how to pursue the objectives of the present – whether they are those of a com-pany, an institution or a broader socio-economic system – while ensuring that adequate standards of development are also guaranteed in the future.

The subject of Sustainability is therefore intrinsically connected to a vision of the future that postulates intergenerational equity. The socio-economic context in which future generations will live and companies and institutions will operate, will largely be the result of the decisions made today, and in particular, of the actions to be taken due to these decisions. Recognizing this great responsibility, it therefore seems appropriate to rethink management choices, placing attention on a more extensive, complex, objective function than the one that traditionally characterizes company operations, often summarized in the objective of value creation for shareholders. This involves devising decision-making processes based on the values of responsibility, ethics, and sustainability, within a timeframe that is consistent with the ability of the system to generate and regenerate adequate resources for sustaining its development. The development of awareness in this important field has mainly led to the different origins of the concepts of Sustainable Development, which for the most part refers to environmental impact and attention to the ecosystem, and Corporate Social Responsibility (CSR), which concerns guidelines on social matters for business managers. The two tendencies, however, have found elements of convergence and integration over time, in the sense that CSR is becoming an important tool that public actors and companies can use to pursue sustainable development objectives.

The most widespread definition of Sustainable Development is, in fact, the one that refers to the possibility of promoting development by looking not only at current needs, but also future ones. More precisely, Sustainable Development is defined as: “development that meets the needs of the present without compromising the ability of future generations to meet their own needs” (Brundtland, 1987, p. 54).

经济代写|供应链管理代写supply chain management代考|The scope of this book

• “作为一项活动的运营意味着在组织的任何职能范围内对流程进行管理。
• 运营作为一项职能是指组织中为组织的外部客户生产产品和服务的部分”（Slack 等，2007，第 15 页）。

有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

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。