分享興趣，傳播快樂，增長見聞，留下美好。
親愛的您，
這裡是LearningYard學苑！
今天小編為大家帶來文章
“平學（47）：精讀英文論文《大資料分析對供應鍊績效的影響因素分析》第二章 文獻綜述（2）”
歡迎您的用心通路！
Share interest, spread happiness, increase
knowledge, leave a beautiful.
Dear you,
this is LearningYard Academy.
Today, the editor brings you an article
"Ping Xue (47)：Intensive reading of English paper “Analysis of Factors Influencing Supply Chain Performance by Big Data Analytics” Chapter2 Literature review "
Welcome to your visit!
一、内容摘要（Summary of content）
今天小編将從思維導圖、精讀内容、知識補充三個闆塊為大家帶來英文期刊論文《Impact of big data analytics on supply chain performance an analysis of influencing factors》的第二章 文獻綜述的第二部分。
Today, I will bring you the Chapter2 Literature review of the English journal paper ‘Analysis of Factors Influencing Supply Chain Performance by Big Data Analytics’ from the three sections of Thinking Maps, Intensive Reading Content, and Knowledge Supplement.
二、思維導圖（Mind mapping）
三、精讀内容（Intensive reading content）
1. 供應鍊績效标準（Criteria for supply chain performance）
1.1 供應商和客戶整合（Supplier and customer integration）
這段文字讨論了內建在供應鍊中的作用。內建通過加強與客戶和供應商的夥伴關系，形成企業級的戰略和同步實踐，實作跨組織的資訊共享。通過協作關系，整合來自不同資料源的核心要素，形成單一平台，提高資訊透明度和資料可見性。這減少了從供應商到最終使用者的資訊變異性，進而提升供應鍊性能，包括縮短交貨時間、改善庫存管理和可靠傳遞。內建的程度決定了供應商和客戶的參與程度，最終通過實時、準确和可靠的資訊共享，提升整個供應鍊的性能。
This text discusses the role of integration in the supply chain. Integration enables cross-organizational information sharing by strengthening partnerships with customers and suppliers to form enterprise-level strategies and synchronized practices. Through collaborative relationships, core elements from disparate data sources are integrated to form a single platform that improves information transparency and data visibility. This reduces information variability from suppliers to end users, resulting in improved supply chain performance, including shorter lead times, better inventory management, and reliable delivery. The degree of integration determines the level of supplier and customer engagement, ultimately improving performance across the supply chain through real-time, accurate and reliable information sharing.
1.2 成本（cost）
成本是供應鍊中一個主要的考量标準，而如何在供應鍊流程中管理成本是各組織面臨的一個主要難題。由于組織間缺乏資訊共享，導緻浪費增加，進而增加了成本。最優的供應鍊追求的是成本最優化而非僅僅的最低成本。是以，需要選擇實施那些能帶來優化成本并帶來更多益處的做法，比如減少缺陷産品、減少延遲傳遞等。如果我們選擇最佳實踐并優化成本，我們可以從供應商一端到最終使用者減少浪費。是以，供應鍊中成本的優化可以提高供應鍊在成本方面的績效。
Cost is a major consideration in supply chain and how to manage cost in supply chain process is a major challenge for organizations. Lack of information sharing between organizations leads to increased wastage, which in turn increases costs. The optimal supply chain seeks to optimize costs rather than just minimize them. Therefore, there is a need to choose to implement practices that lead to cost optimization with more benefits such as fewer defective products, fewer delayed deliveries, etc. If we select best practices and optimize costs, we can reduce waste from the supplier end to the end user. Thus, optimization of cost in supply chain can improve the performance of supply chain in terms of cost.
1.3 産能使用率(Capacity utilization)
通過在供應商、客戶群組織内部共享資訊，可以管理庫存不準确的問題，例如損壞、過時、季節性因素以及錯誤的進貨和出貨，最終減少物品的誤放。由于這些問題會導緻供應鍊績效下降，是以必須在整個組織中透明地共享資訊。通過資訊共享，每個部門都能了解确切的生産率和庫存率等資訊，進而減少産品浪費，進而提高供應鍊績效。
Inventory inaccuracies such as damage, obsolescence, seasonality, and incorrect incoming and outgoing shipments can be managed by sharing information across suppliers, customers, and within the organization, ultimately reducing the misplacement of items. Since these issues can lead to decreased supply chain performance, it is important to share information transparently throughout the organization. By sharing information, each department will be able to know information such as exact productivity and inventory rates, which will reduce product waste and in turn improve supply chain performance.
1.4 靈活性(Flexibility)
靈活性用于衡量供應鍊在供應商到最終使用者之間的數量和時間表變化以及協作供應鍊潛在行為的能力，這取決于市場環境和供應鍊所采用的實踐。由于靈活性，供應鍊能夠根據客戶需求增加或減少總産量，這直接影響供應鍊績效。是以，需要了解能夠提高靈活性的最佳實踐，以增強供應鍊績效。
Flexibility is used to measure the ability of a supply chain to vary volumes and schedules between suppliers and end-users and to collaborate on potential supply chain behaviors, depending on the market environment and the practices employed by the supply chain. Due to flexibility, the supply chain is able to increase or decrease the total output based on customer demand, which directly affects the supply chain performance. Therefore, there is a need to understand the best practices that can improve flexibility in order to enhance supply chain performance.
1.5 需求管理(Demand management)
需求管理是衡量供應鍊績效的關鍵标準之一，涉及需求預測和生産規劃，能夠捕捉需求信号、優化定價和追蹤客戶忠誠度。這有助于發現新的市場趨勢以及失敗和缺陷的根本原因。通過這樣做，可以從客戶的角度分析需求，并根據客戶的需求進行操作。為了提高供應鍊績效，需要最佳實踐來分析需求。簡而言之，需求管理通過了解客戶需求和市場趨勢來優化供應鍊的響應和績效。
Demand management is one of the key measures of supply chain performance and involves demand forecasting and production planning that captures demand signals, optimizes pricing and tracks customer loyalty. It helps in identifying new market trends as well as root causes of failures and defects. By doing so, demand can be analyzed from the customer's point of view and operations can be tailored to the customer's needs. In order to improve supply chain performance, best practices are needed to analyze demand. In short, demand management optimizes supply chain response and performance by understanding customer needs and market trends.
1.6 時間和價值(Time and value)
在供應鍊管理中，時間是減少前置時間、周期時間和傳遞時間等關鍵因素，直接影響供應鍊績效。通過縮短時間并優化産品價值，可以提升供應鍊的績效。實作這一點需要透明的準确資訊，這通常需要依賴大資料等資料驅動的實踐。為了提高供應鍊績效，需要大資料實踐來確定資料品質、資料安全和資料可見性，這些資訊在供應商、最終使用者以及組織内部流通，以實作績效和競争優勢。作者選擇了九個大資料實踐和七個供應鍊績效評價标準，以确定在印度零售和電子商務供應鍊背景下最合适的大資料實踐。
In supply chain management, time is a key factor in reducing lead time, cycle time and delivery time, which directly affects supply chain performance. Supply chain performance can be improved by reducing time and optimizing product value. Achieving this requires transparent and accurate information, which often relies on data-driven practices such as big data. To improve supply chain performance, big data practices are needed to ensure data quality, data security, and data visibility of the information that circulates among suppliers, end users, and within the organization to achieve performance and competitive advantage. The authors have selected nine big data practices and seven supply chain performance evaluation criteria to identify the most appropriate big data practices in the context of retail and e-commerce supply chains in India.
簡而言之，時間管理和産品價值優化是提升供應鍊績效的關鍵，而大資料實踐提供了透明準确的資訊流，有助于實作這一目标，并增強供應鍊的資料品質和安全性，進而在供應鍊中實作更好的績效和競争優勢。作者針對印度零售和電子商務供應鍊環境，篩選了合适的大資料實踐和績效評價标準。
In short, time management and product value optimization is the key to improve supply chain performance and big data practices provide transparent and accurate information flow that helps to achieve this goal and enhance data quality and security in the supply chain, leading to better performance and competitive advantage in the supply chain. The authors have screened suitable big data practices and performance evaluation criteria for the Indian retail and e-commerce supply chain environment.
四、知識補充（Knowledge supplementation）
客戶整合是什麼意思？
What does customer integration mean?
客戶整合是指企業通過優化客戶資源配置，提供差别化的服務，并努力與客戶建立長期戰略合作夥伴關系的過程。 這一過程不僅包括滿足客戶的目前需求，還旨在推動與客戶關系的長期發展，實作企業和客戶之間的共赢。客戶整合的核心在于了解并滿足客戶的多樣化需求。企業通過分析客戶需求，提供個性化的産品和服務，進而增強客戶的滿意度和忠誠度。這種滿足客戶需求的過程是一種螺旋式的上升，不僅促使公司對客戶需求有更充分的了解，也會引起客戶對公司期望的膨脹，最終實作“一對一”關系的建立和鞏固。
Customer integration refers to the process in which an enterprise provides differentiated services by optimizing the allocation of customer resources and strives to establish a long-term strategic partnership with its customers. This process not only includes meeting the current needs of customers, but also aims to promote the long-term development of the relationship with customers and realize a win-win situation between enterprises and customers. The core of customer integration lies in understanding and satisfying the diverse needs of customers. Enterprises analyze customer needs and provide personalized products and services to enhance customer satisfaction and loyalty. This process of satisfying customers' needs is a kind of upward spiral, which not only prompts the company to have a fuller understanding of customers' needs, but also causes customers' expectations of the company to expand, and ultimately realizes the establishment and consolidation of the “one-to-one” relationship.
今天的分享就到這裡了。
如果您對文章有獨特的想法，
歡迎給我們留言，
讓我們相約明天。
祝您今天過得開心快樂！
That's all for today's sharing.
If you have a unique idea about the article
please leave us a message
Let us meet tomorrow.
I wish you a happy day today!
參考資料：Google翻譯，百度，通義千問
參考文獻：Gopal P R C, Rana N P, Krishna T V, et al. Impact of big data analytics on supply chain performance: an analysis of influencing factors [J]. Annals of Operations Research, 2024, 333(2): 769-797.
本文由LearningYard學苑整理發出，如有侵權請在背景留言！
文字 | Ping
排版 | Ping
稽核 | yyz