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Manufacturing and Supply Chain Analytics

In manufacturing and supply chain management, data science powers innovation, efficiency, and sustainability. Through partnerships with companies like PPG Industries and FedEx, RDS@Pitt connects students to real-world challenges involving materials optimization, logistics forecasting, and responsible automation. Learners examine how data-driven decisions impact workers, consumers, and the environment—developing ethical, context-aware approaches to analytics that strengthen both productivity and social responsibility across global supply networks.

Context and Datasets

  • News.Oper.007 AI Governance

    • Manufacturing and Supply Chain Analytics

    As artificial intelligence becomes more powerful and embedded across industries, policymakers and technologists face growing pressure to establish transparent, accountable, and globally coordinated AI governance frameworks.

  • News.Oper.008 Price of Technology

    • Manufacturing and Supply Chain Analytics

    The consumer electronics industry faces ongoing competition as brands balance innovation, pricing, and promotional strategies to capture market share

  • News.Oper.009 Electric Vehicle Population Data- WA

    • Manufacturing and Supply Chain Analytics

    • Canada's automotive manufacturing sector is poised for transformation amid growing pressure to expand electric vehicle (EV) production and sales. • The scenario centers on a Canadian automotive manufacturer grappling with evolving industry dynamics, regulatory EV mandates, and shifting consumer demand.

  • News.Man.001 Manufacturing Defects: Updated for drug manu.

    • Manufacturing and Supply Chain Analytics

    The pharmaceutical industry faces mounting concerns over the safety and oversight of medications produced through global supply chains, especially with growing reliance on Chinese manufacturing. https://en.wikipedia.org/wiki/Pharmaceutical_industry_in_China?utm_source=chatgpt.comhttps://prosperousamerica.org/china-owns-americas-generic-drug-supply-chain-u-s-china-commission-says/?utm_source=chatgpt.comhttps://www.uscc.gov/sites/default/files/2019-11/Chapter%203%20Section%203%20-%20Growing%20U.S.%20Reliance%20on%20China%E2%80%99s%20Biotech%20and%20Pharmaceutical%20Products.pdf?utm_source=chatgpt.com

  • News.Man.002 Manufacturing Defects: FitBit Watch

    • Manufacturing and Supply Chain Analytics

    The consumer electronics industry—particularly wearables—faces growing scrutiny as device defects can lead to physical injuries and regulatory penalties.

  • News.Oper.001 Comprehensive Supply Chain Analysis

    • Manufacturing and Supply Chain Analytics

    The retail industry faces increasing pressure to optimize supply chains amid shifting consumer spending and growing demand for faster delivery. Target Corporation, a leading U.S. retailer, is investing heavily in expanding regional distribution centers to improve grocery supply chain efficiency and better serve customers.

  • News.Oper.002 AI Companies Dataset

    • Manufacturing and Supply Chain Analytics

    The rapid growth of artificial intelligence has spurred a surge in global venture funding, reshaping the technology and innovation landscape.

  • News.Oper.003 Undergraduate Enrollment Statistics

    • Manufacturing and Supply Chain Analytics

    This scenario addresses trends in higher education enrollment within the community college industry. The source organization collects and analyzes enrollment data to track shifts and inform institutional planning

  • News.Oper.004 AOL Data

    • Manufacturing and Supply Chain Analytics

    In 2006, AOL published a dataset containing 20 million search queries from 650,000 users, intending it for research use. Although the data was anonymized by replacing usernames with unique identification numbers, reporters from The New York Times were able to identify individuals based on the content of their search queries, revealing personal and sensitive information.

  • News.Oper.005 Netflix Data

    • Manufacturing and Supply Chain Analytics

    In 2006, Netflix released an anonymized dataset of movie ratings from approximately 500,000 subscribers as part of a public machine learning competition. Researchers Arvind Narayanan and Vitaly Shmatikov demonstrated that by cross-referencing this dataset with non-anonymous IMDb user reviews, they could re-identify specific individuals, uncovering their personal viewing histories.

  • News.Oper.006 General Electric

    • Manufacturing and Supply Chain Analytics

    The manufacturing and industrial sector is increasingly embracing digital transformation to enhance productivity and innovation. General Electric (GE) is undergoing a company-wide digital overhaul to optimize operations and product development.

  • News.Oper.010 Unity Technologies

    • Operations
    • Manufacturing and Supply Chain Analytics

    Digital marketing firms increasingly rely on user engagement data to optimize ad performance, but without observability into how data flows and changes across systems, ad targeting can become inefficient or biased.