Group items tagged

Industry has long expressed interest in the use of model-based methods and digital thread capabilities to unlock breakthrough productivity improvements across the supply chain. The automation of critical information flows such as exchange of product and procurement data and reporting of key quality measures, can enhance supply chain visibility and improve performance of the overall enterprise. This request for proposal seeks to create a roadmap and playbooks for implementing digitally-enabled supply chain practices and technologies at both OEMs and SMMs.

The Bureau of International Labor Affairs (ILAB), U.S. Department of Labor (USDOL, or the Department), announces the availability of approximately $5,000,000 total costs (subject to the availability of Federal funds) for one cooperative agreement to fund a technical assistance project in an identified country to economically empower women and girls. The objective of the project is to reduce the risk of child labor, forced labor, and other violations of labor rights for vulnerable women and girls within an identified supply chain. The project will aim to achieve the following outcomes: (1) improved economic participation by women and girls vulnerable to child labor, forced labor, and/or other violations of labor rights within a supply chain; and (2) improved business practices by private sector actors to protect against child labor, forced labor, and other violations of labor rights for vulnerable women and girls working within a supply chain.

Program supports two main types of research: (i) innovations in general-purpose methodology related to optimization, stochastic modeling, and decision and game theory; and (ii) research grounded in relevant applications that require the development of novel and customized analytical and computational methodologies. Both types of proposals must be motivated by an application area of interest to the program. Application areas of interest include supply chains and logistics; risk management; healthcare; environment; energy production and distribution; mechanism design and incentives; production planning, maintenance, and quality control; and national security

The MES program supports research on design, planning, and control of operations in manufacturing enterprises. Research is supported that is both grounded in an interesting and relevant application and requires the development of novel analytical and computational methodologies that may be of broader interest. Topics of interest include supply chain optimization and management; production planning and scheduling; monitoring and control of manufacturing processes; and maintenance and repair. Of particular interest are methods that incorporate increasingly rich enterprise process and product information and models, methods that address sustainability, and methods that incorporate characteristic uncertainty and risk.

This Funding Opportunity Announcement will provide support for a Human Islet Research Enhancement Center that will supply the infrastructure needed to support research coordination, collaboration and dissemination of advances made by the NIDDK funded Human Islet Research Network (HIRN).

North American leaders are calling on youth to champion bold ideas for green growth. Youth are encouraged to look beyond incremental approaches and propose innovative science, technology and business solutions that address the complex sustainability challenges facing North America. Innovative ideas will: Create better or more effective products, processes, services, technologies, business models, marketing, supply chains and/or partnerships for the benefit of society, the economy and the environment. Contribute to the natural asset base of North American economies, create green jobs and/or economic opportunities for citizens in North America. Make good business sense in terms of profitability and potential for growth.

The Bureau of Transportation Statistics (BTS) requires technical support to transform methods that collect and estimate freight flow data. To remain effective in measuring nationwide goods movements, it is important that Commodity Flow Survey (CFS) data collection methods and the techniques used to develop its derivative product, the Freight Analysis Framework (FAF), be transformed to leverage the continuously improving data collection technologies, and the availability of administrative data and other alternative data sources. Furthermore, the transformation is necessary to capture the many changes in the transportation sector with respect to logistics and supply chain, such as the growing number of the third-party logistics providers, distribution centers, and electronic shopping.