The Eora global supply chain database consists of a multi-region input-output table (MRIO) model that provides a time series of high-resolution IO tables with matching environmental and social satellite accounts for 190 countries.

The dataset contains contact and description information for local supply chain organizations, offshore wind developers, and original equipment manufacturers that provide goods and services to support New York State’s offshore wind industry. To request placement in this database, or to update your company’s information, please visit NYSERDA’s Supply Chain Database webpage at https://www.nyserda.ny.gov/All-Programs/Offshore-Wind/Focus-Areas/Supply-Chain-Economic-Development/Supply-Chain-Database to submit a request form.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

Problem Statement

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A global manufacturing company faced frequent supply chain disruptions caused by unforeseen events such as natural disasters, geopolitical issues, and supplier failures. These disruptions led to production delays, increased costs, and diminished customer satisfaction. The company required a proactive solution to identify potential risks, mitigate their impact, and ensure supply chain continuity.

Challenge

Implementing an effective supply chain risk management system presented several challenges:

Analyzing vast and diverse data sets, including supplier performance, logistics data, and external risk factors.

Predicting potential disruptions and their impact on the supply chain.

Providing actionable insights to decision-makers in real time to reduce response times.

Solution Provided

An advanced supply chain risk management system was developed using predictive analytics, machine learning models, and AI-driven risk assessment tools. The solution was designed to:

Monitor and analyze data from multiple sources, including suppliers, weather forecasts, and geopolitical indicators.

Predict potential risks and disruptions using machine learning algorithms.

Recommend mitigation strategies and alternative plans to minimize the impact of identified risks.

Development Steps

Data Collection

Aggregated data from internal supply chain systems, external risk databases, and third-party sources, such as weather services and market reports.

Preprocessing

Standardized and cleaned data to ensure accuracy and compatibility across multiple data sources and formats.

Model Development

Built predictive models to identify risks, such as supplier delays, transportation bottlenecks, and market volatility. Developed risk scoring algorithms to prioritize and classify risks based on severity and likelihood.

Validation

Tested the system using historical supply chain data and simulated risk scenarios to ensure accuracy and reliability in risk prediction.

Deployment

Integrated the system with the company’s supply chain management tools, enabling real-time monitoring and risk assessments.

Continuous Monitoring & Improvement

Established a feedback loop to refine predictive models and risk assessment algorithms based on new data and emerging trends.

Results

Enhanced Risk Detection

The system provided early warnings for potential disruptions, allowing the company to take proactive measures.

Reduced Supply Chain Disruptions

Risk mitigation strategies minimized the impact of disruptions, ensuring continuity in production and deliveries.

Improved Resilience

The system strengthened the company’s supply chain by identifying vulnerabilities and suggesting improvements.

Cost Savings

Proactive risk management reduced costs associated with delays, penalties, and emergency logistics.

Real-Time Decision-Making

AI-driven insights enabled quick and informed decisions, enhancing the overall efficiency of supply chain operations.

Your Strategic Marketing Asset for B2B Marketing in the Business Operations Realm

In today’s ever-shifting business environment, agility and precise targeting are key to B2B marketing success. With economic conditions continually changing, Solution Publishing by Allforce emerges as the quintessential digital audience data product, expertly fashioned to equip marketers with unparalleled reach and engagement within the business operations sphere, with a particular emphasis on the Supply Chain sector.

Enhanced Industry Connectivity with Granular Targeting, BizOps constructs an extensive tapestry of data, featuring over 2 million professionals with roles integral to Supply Chain, Logistics, Transportation, and Facilities. This vast audience provides a springboard for marketers to segment and hone in on their desired demographic, by job function, leadership status, and company size. Our granular targeting capabilities extend even further, permitting refined outreach with selectable parameters like geographic scope and job-specific interest categories, especially those revolving around the Supply Chain nexus, ensuring communications are bespoke and impactful.

Direct Mail and Telemarketing: Our comprehensive postal and telephone databases are a born for direct mail and telemarketing campaigns. In a sector where direct, meaningful touch points are paramount, direct mail pieces crafted using insights from Solution Publishing by Allforce are assured to reach the influential figures within Supply Chain and beyond, while telemarketing activities benefit from vetted leads, guaranteeing that your sales teams conduct rich, conversion-oriented conversations.

Email Marketing: Engaging with Targeted Precision

The driving force of our email marketing prowess is our sustained monthly interaction with a wide array of contacts, which directly benefits from contributions to Solution Publishing by Allforce's Business Operations Solution Journal. This engagement not only maintains the vitality of our database but also garners critical metrics on interactions, ensuring our data remains fresh and relevant, particularly within the Supply Chain field. Your email campaigns are assured not just to reach the intended inboxes but to be received by an audience that anticipates and values content centered on Supply Chain management and its associated segments like Procurement, Operations, Distribution, and Inventory.

Programmatic Display: Capturing Essential Digital Engagements

In the competitive digital arena, where every click is a currency, we help you elevate your display advertising. Our data zeroes in on the exact audience segments integral to the Supply Chain, from frontline coordinators to C-suite decision-makers, ensuring that your digital ads are not just seen, but actively engaged with by the very professionals driving Supply Chain innovation and efficiency.

LinkedIn Networking: Cultivating Industry-Specific Relationships

Recognizing LinkedIn as the virtual nexus for professionals, BizOps Continuum empowers your team to forge and nurture connections with precision on this platform. Matching our expansive data with LinkedIn profiles allows your marketing and sales teams to pinpoint and engage potential clients within the Supply Chain arena, fostering professional relationships through personalized InMail strategies, connection requests, and content sharing that resonates with the unique trends and necessities inherent in Supply Chain dynamics.

Use Cases: Uniting Verticals Under the Supply Chain Umbrella. Our data versatility ensures its utility spans a variety of industries related to business operations.

Supply Chain: Tailor messages for companies at the forefront of Supply Chain innovation and logistics optimization.

Wholesale and Retail: Reach decision-makers in search of cutting-edge Supply Chain solutions to streamline distribution.

Manufacturing: Target businesses implementing advanced Supply Chain practices to maximize production efficiency.

Transportation and Logistics: Connect with entities that manage the movement of goods from manufacturers to markets.

Facilities Management: Engage with professionals tasked with integrating Supply Chain systems into facility operations.

Technology and Information Systems: Address the needs of IT departments that support the Supply Chain with software and hardware solutions.

Enriching Campaigns with Active, Engaged Audiences

Solution Publishing by Allforce is more than a database—it's an ecosystem teeming with engaged, qualified business operations professionals actively interacting with content that influences their day-to-day and strategic decisions, especially within the Supply Chain sector. Insights drawn from our active engagement with the Business Operations Solution Journal newsletter empower your campaigns with the intelligence needed for hyper-targeted, resonant messaging that leads to higher conversion rates.

Positionin...

A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

All geospatial data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

Use cases for the Global Address Database (Geospatial data)

• Address capture and validation

• Parcel delivery

• Master Data Management

• Logistics and Shipping

• Sales and Marketing

Additional features

• Fully and accurately geocoded

• Multi-language support

• Address ranges for streets covered by several zip codes

• Comprehensive city definitions across countries

• Administrative areas with a level range of 0-4

• International Address Formats

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes (geocoded)

• Time zones and Daylight Saving Time (DST)

• Population data: Past and future trends

Data export methodology

Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our location databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Frequent, consistent updates for the highest quality

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

This dataset provides supply chain health commodity shipment and pricing data. Specifically, the data set identifies Antiretroviral (ARV) and HIV lab shipments to supported countries. In addition, the data set provides the commodity pricing and associated supply chain expenses necessary to move the commodities to countries for use. The dataset has similar fields to the Global Fund's Price, Quality and Reporting (PQR) data. PEPFAR and the Global Fund represent the two largest procurers of HIV health commodities. This dataset, when analyzed in conjunction with the PQR data, provides a more complete picture of global spending on specific health commodities. The data are particularly valuable for understanding ranges and trends in pricing as well as volumes delivered by country. The US Government believes this data will help stakeholders make better, data-driven decisions. Care should be taken to consider contextual factors when using the database. Conclusions related to costs associated with moving specific line items or products to specific countries and lead times by product/country will not be accurate.

Sample purchasing data containing information on suppliers, the products they provide, and the projects those products are used for. Data created or adapted from publicly available sources.

A global self-hosted Market Research dataset containing all administrative divisions, cities, addresses, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.

Use cases for the Global Zip Code Database (Market Research data)

• Address capture and validation

• Map and visualization

• Reporting and Business Intelligence (BI)

• Master Data Mangement

• Logistics and Supply Chain Management

• Sales and Marketing

Data export methodology

Our map data packages are offered in variable formats, including .csv. All geographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Fully and accurately geocoded

• Administrative areas with a level range of 0-4

• Multi-language support including address names in local and foreign languages

• Comprehensive city definitions across countries

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Times

Why do companies choose our Market Research databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Weekly updates for the highest quality

Note: Custom geographic data packages are available. Please submit a request via the above contact button for more details.

Data during covid-19 including the three main variables (supply chain resilience, flexibility, reconfiguration)

Between 2015 and 2022, numerous consuming countries in North America, Europe, and Oceania have proposed or passed legislation aimed to improve the environmental and social sustainability of businesses’ supply chains. These fall into three categories: disclosure-based legislation, mandating that companies report on sustainability-related risks and their approach to reducing it; due diligence legislation, which mandates companies to implement procedures to assess, mitigate, and remediate sustainability-related risks in their supply chains; and trade-based legislation, which prohibits the import of specific types of goods linked to adverse outcomes. We can further distinguish between single-issue legislation on the issues of labor problems (modern slavery/forced labor/child labor) and deforestation in the supply chain, and legislations with broader human rights and environmental scope. This database and the related report aim to provide an overview of the status, scope, and requirements of various laws that are tabled or already in force, with a particular focus on how they are likely to affect the coffee sector and actors within it.

2023 update:The 2023 version of the database updates the status of the respective regulations and expands the scope of search also to emerging consuming countries (e.g. in Asia) and producing countries (e.g. in Latin America). Please see country scope below. In the 2023 version of the database, we further added the category of "National Strategies, Action Plans, and Guidelines" to refer to soft law approaches that are more common in certain regions (such as Asia) to date. For completeness, we furthermore added select regulations (e.g. the US Uyghur Forced Labor Prevention Act) that have likely low relevance to the coffee sector but indicate a broader trend of the use of due diligence and trade instruments. The risk level of each legislation for coffee actors is described in column AQ. Green highlighted names of legislations highlight new additions to the database, while green highlighted cells indicate changes in criteria of legislations that were already part of the 2022 database.

This database was last updated on 14.09.2023, and contains information that was correct to the best of the authors' knowledge up to that date.

Global Value Chains (GVC's) data from World Bank's WDR 2020 data

This is database for the SPSS software in .Sav extension and this database contains 187 responses obtained from the maquiladora industry in northern Mexico. The questionnaire is available in https://doi.org/10.6084/m9.figshare.14328269.v1

Data extraction from Scopus database for article review in the domain of Supply chain risk management

Access to information about chemicals in products and articles is critical for supporting enforcement of chemical regulations, assessing risks from chemicals, allowing informed consumer choices, and enabling product circularity. In this work, we identified and evaluated available databases (DBs) on chemicals in products and articles from the literature using a defined protocol and from European national market surveillance authorities, nongovernmental agencies, and industrial sector groups using questionnaires. This is the first comprehensive review of DBs that provide information about chemicals in products and articles. A majority of these DBs are heterogeneous in terms of scope, ontologies, and data structures. Among the 57 identified DBs, 49 identified specific substances and only 30 reported their concentration in their products. In addition, 35 DBs included hazard information and 27 DBs provided safety information about products or chemicals. The analysis highlights the lack of comprehensive or accessible data on chemicals in products and articles for most categories of products/articles and jurisdictions. The limitations of existing DBs were attributed to scattered regulatory information requirements, a lack of data for unregulated substances, the complexity of supply chain communication, and confidentiality issues. In response to these challenges, we identified opportunities for improving existing information transfer structures and exploring alternative data sources to promote product and article safety and circularity.

The dataset is palm oil mills location in Indonesia. The mills list of name was compiled from supply chain document on traceability report of major palm oil processor in Indonesia (Musim Mas, GAR, Asian Agri, and Wilmar). The location of mills was gathered from self-reported document and other available online resources. Mills location were visually verified using Google Earth imagery or other available high resolution images.

The dataset contains contact and description information for local supply chain organizations, offshore wind developers, and original equipment manufacturers that provide goods and services to support New York State’s offshore wind industry. To request placement in this database, or to update your company’s information, please visit NYSERDA’s Supply Chain Database webpage at https://www.nyserda.ny.gov/All-Programs/Offshore-Wind/Focus-Areas/Supply-Chain-Economic-Development/Supply-Chain-Database to submit a request form. How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

This dataset presents information concerning 8- and 10-digit trade codes related to the rechargeable lithium-ion battery (LIB) supply chain for the People's Republic of China (PRC) and the European Union, and the United States as classified by Customs and Border Protection (CBP) rulings. Note that this dataset is not intended to be a complete or comprehensive list of trade codes for the LIB supply chain; rather, it presents trade codes from the PRC and the EU that more granularly classify products related to LIB supply chain in comparison to the Harmonized Tariff Schedule of the United States (HTSUS). CBP rulings are included to indicate existing classification decisions for relevant products related to the LIB supply chain. Disaggregated trade codes offer more detailed insight into trade flows, supply chains, and the state of domestic and international industries. The dataset covers raw materials, refined and processed materials, battery materials, cell components, batteries and battery components, end-of-life batteries, and machinery. Tariff line information was assembled through conversations with experts and reviews of supply chain process flows in concert with an examination of trade databases, domestic trade documentation, and primary international customs import and export tariff documents.

This dataset is a compilation of open asset-level data, which means the location of sites (e.g., operation, manufacturing, processing facilities of global supply chains), as of December 2022. This included data from 9 publicly available sources, that after data cleaning and harmonization, resulted in 189,075 data points.

    Data source
    Number of data points


    Open Supply Hub (former Open Apparel Registry)
    96,736


    Global Power Plant Database
    35,419


    Climate trace
    19,945


    FDA database
    12,898


    Global Dam Watch
    11,017


    EudraGMDP database
    5,181


    Sustainable Finance Initiative GeoAsset Databases
    4,716


    Global Tailings Portal
    1,956


    Fine print Mining Database
    1,207

This data was assigned with the industry in which the asset is. The summary table below shows the number of assets by industry.

    Industry
    Number of assets    


    Textiles, Apparel & Luxury Good Production       
    96,736


    Health Care, Pharma and Biotechnology
    18,079


    Energy - Solar, Wind
    16,282


    Energy - Hydropower
    14,515


    Energy - Geothermal or Combustion
    11,724


    Metals & Mining
    11,210


    Transportation Services
    4,872


    Construction Materials
    3,117


    Agriculture (animal products)
    2,388


    Agriculture (plant products)
    1,896


    Oil, Gas & Consumable Fuels
    1,194


    Water utilities / Water Service Providers
    892


    Hospitality Services
    294


    Fishing and aquaculture
    14


    Other
    5,862

Note that this compilation is based on an extensive search, however, we acknowledge that there is a significant discrepancy in data coverage/comprehensiveness among the different industries. The industry "Textiles, Apparel & Luxury Good Production" is by far the most complete, while other are clearly far from complete, for example, “Construction Materials”, "Agriculture (animal products)”, “Agriculture (plant products)”, “Oil, Gas & Consumable Fuels”, “Water utilities / Water Service Providers”, “Hospitality Services”, “Fishing and aquaculture”. Therefore, any comparison between industries should take this coverage/comprehensiveness bias into consideration.

This database automatically captures metadata sourced from the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Electronic exchange of information on supply chain management with suppliers or with customers in enterprises with 10 or more persons employed, by enterprise activity (NACE Rev. 2), Slovenia, 2010, 2012, 2014, 2016”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

This Dataset present an extraction of 100 Purchase Records from the Manufacturer's Database in the research about the use of Association Rule Unsupervised Learning for MS-OAP