Building Supply Chain Transparency Capacity in Ohio
GrantID: 12311
Grant Funding Amount Low: $10,000
Deadline: December 2, 2022
Grant Amount High: $10,000
Summary
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Grant Overview
Priority Outcomes for Supply Chain Data in Ohio
Ohio's economy is heavily reliant on its manufacturing sector, with major industries including automotive, aerospace, and food processing. To improve the state's competitiveness, it's crucial to have timely, granular, and robust supply chain data. The Research Grant to Produce Robust Supply Chain data aims to address this need by supporting innovative approaches to providing supply chain data.
Target Outcomes for Ohio's Supply Chain Data
The priority outcomes for this grant in Ohio are centered around enhancing the state's supply chain resilience and visibility. The Ohio Department of Development's Office of Supply Chain Resilience is working to strengthen the state's supply chain ecosystem. Key target outcomes include:
- Improving data granularity to enable more informed decision-making among Ohio businesses, particularly small and medium-sized enterprises (SMEs) that are critical to the state's economy.
- Enhancing data timeliness to allow for more agile responses to supply chain disruptions, such as those caused by natural disasters or global events.
- Developing more robust data methodologies to better capture the complexities of modern supply chains, which is vital for industries like automotive manufacturing that rely on complex global supply networks.
The Ohio Manufacturing Institute, a statewide resource for manufacturing expertise and workforce development, is also focusing on supply chain issues. By achieving these outcomes, Ohio can better support its manufacturing sector and overall economic growth. For instance, more granular and timely supply chain data can help Ohio-based businesses like those in the automotive supply chain to more effectively manage risks and opportunities.
To achieve these priority outcomes, applicants should consider Ohio's unique economic landscape. The state's location at the crossroads of major transportation routes, including significant rail and highway networks, makes its supply chain data particularly valuable for regional analysis. Additionally, the presence of major research institutions, such as those in the Ohio State University system, provides a strong foundation for innovative research and development in supply chain data methodologies.
Applicants should also be aware that the Banking Institution, the funder of this grant, is particularly interested in supporting projects that can demonstrate potential for scalability and applicability beyond Ohio's borders, potentially benefiting neighboring states like Michigan and Pennsylvania.
Measuring Success in Ohio
Success for this grant in Ohio will be measured by the extent to which the funded projects improve the granularity, timeliness, and robustness of supply chain data. This will involve not just the development of new methodologies but also their practical application in supporting Ohio's businesses, particularly SMEs. The impact of these projects will be assessed through their ability to inform business decisions, enhance supply chain resilience, and contribute to the overall competitiveness of Ohio's economy.
Q: What types of supply chain data are most needed in Ohio? A: Ohio businesses and policymakers are particularly in need of more granular data on supply chain disruptions and more timely data on inventory levels.
Q: How can grant applicants demonstrate the potential for scalability beyond Ohio? A: Applicants can show how their proposed methodologies or technologies could be applied in other states with similar economic profiles, such as Michigan or Indiana, or how they could be adapted for different industries.
Q: What role will Ohio's research institutions play in this grant? A: Ohio's research institutions, such as the Ohio State University, are expected to play a significant role in this grant by providing expertise in supply chain analysis and data science, as well as potentially serving as testbeds for new methodologies.
Eligible Regions
Interests
Eligible Requirements
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