2024暑期iHUB·上海：供應(yīng)鏈管理專(zhuān)題：供應(yīng)鏈可視化研究-數(shù)據(jù)分析在庫(kù)存管理及需求預(yù)測(cè)中的應(yīng)用

專(zhuān)業(yè)：商業(yè)

項(xiàng)目類(lèi)型：海外導(dǎo)師線(xiàn)下項(xiàng)目

開(kāi)始時(shí)間：2024年07月20日

是否可加論文：是

項(xiàng)目周期：1周在線(xiàn)科研+14天面授科研+5周在線(xiàn)論文指導(dǎo)

語(yǔ)言：英文

有無(wú)剩余名額：名額充足

建議學(xué)生年級(jí)：大學(xué)生 高中生

是否必需面試：否

適合專(zhuān)業(yè)：商業(yè)分析金融學(xué)財(cái)務(wù)管理數(shù)據(jù)分析創(chuàng)業(yè)創(chuàng)新風(fēng)險(xiǎn)管理數(shù)學(xué)商業(yè)統(tǒng)計(jì)公司管理商業(yè)決策

地點(diǎn)：上海圣華紫竹學(xué)院

建議選修：高等數(shù)學(xué)微積分與應(yīng)用

建議具備的基礎(chǔ)：供應(yīng)鏈管理、物流管理、風(fēng)險(xiǎn)管理、商業(yè)分析、統(tǒng)計(jì)學(xué)，應(yīng)用數(shù)學(xué)等專(zhuān)業(yè)或者希望修讀相關(guān)專(zhuān)業(yè)的學(xué)生；具有代數(shù)及微積分基礎(chǔ)的學(xué)生優(yōu)先

產(chǎn)出：1周在線(xiàn)科研+14天面授科研+5周在線(xiàn)論文指導(dǎo) 項(xiàng)目報(bào)告 優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國(guó)際會(huì)議全文投遞與發(fā)表指導(dǎo)（可用于申請(qǐng)） 結(jié)業(yè)證書(shū) 成績(jī)單

項(xiàng)目背景：隨著信息技術(shù)的快速發(fā)展，數(shù)據(jù)的獲取成本變得越來(lái)越低，采購(gòu)與供應(yīng)鏈管理也迎來(lái)了“大數(shù)據(jù)”時(shí)代。如何從海量的數(shù)據(jù)中洞悉供應(yīng)市場(chǎng)的變化，找到最優(yōu)的供應(yīng)鏈管理模式，成為公司及采購(gòu)管理人員能否脫穎而出的關(guān)鍵。本課程將按照“分析何種數(shù)據(jù)，如何獲取數(shù)據(jù)，怎樣分析數(shù)據(jù)”的思路，探索數(shù)據(jù)分析在供應(yīng)鏈優(yōu)化中的應(yīng)用。 Business Analytics and Supply Chain Management are important skills for effective managerial decision- making. Advances in technology have made significant amount of data available to managers. For example, manufacturers of electronic products forecast future sales in order to decide whether to expand production; banks use customer data to identify lucrative banking products. In addition, applications of business analytics to inventory and global supply chain management including distribution and global sourcing will refine intuitions developed from models and case studies to build managerial insights.

項(xiàng)目介紹：數(shù)據(jù)建模是供應(yīng)鏈管理中的重要技能，在優(yōu)化需求、采購(gòu)、倉(cāng)儲(chǔ)、運(yùn)輸，還是供應(yīng)商管理環(huán)節(jié)有著非常重要的應(yīng)用。該項(xiàng)目?jī)?nèi)容從數(shù)據(jù)分析技能出發(fā)，包括統(tǒng)計(jì)分析、概率分布、決策分析、抽樣分布、置信區(qū)間、假設(shè)檢驗(yàn)、回歸模型等，并結(jié)合其在供應(yīng)鏈庫(kù)存管理，需求預(yù)測(cè)，生產(chǎn)規(guī)劃中的應(yīng)用。在項(xiàng)目結(jié)束時(shí)提交報(bào)告，進(jìn)行成果展示。

The program covers descriptive statistics, exploratory data analysis, probability distributions, sampling distributions, confidence intervals, hypothesis testing, linear regression models, inventory and global supply chain management. Probability models provide tools to handle uncertainty and risk. Statistical analysis focuses on the presentation of data and techniques to draw useful and valid inferences from data. Regression models are built to forecast future market trends. Inventory models help to efficiently manage global supply chains.

項(xiàng)目大綱：描述性統(tǒng)計(jì)與離散概率分布 Descriptive statistics; discrete probability distributions 離散與連續(xù)概率分布；回報(bào)/風(fēng)險(xiǎn)分析 Discrete and continuous probability distributions; return/risk analysis 抽樣分布與置信區(qū)間估計(jì) Sampling distributions; confidence interval estimation 假設(shè)檢驗(yàn) Hypothesis testing about population mean and proportion 簡(jiǎn)單回歸模型與多元回歸模型 Simple regression models; multiple regression models 案例分析：供應(yīng)鏈優(yōu)化及戰(zhàn)略制定 Case Study 項(xiàng)目回顧與成果展示 Program Review and Presentation 論文輔導(dǎo) Project Deliverables Tutoring