Professor Tom Armstrong and Researcher and Project Director, Sheryl Ulin, have received funding from the state of Michigan for their project titled “Interactive Training and Direct Assistance to Reduce Worker Risk of Musculoskeletal Disorders.” Work related musculoskeletal disorders such as low back injuries and upper limb musculoskeletal disorders are a major cause of disability and workers’ compensation throughout the United States. The objective of this project is to provide employers and workers with information and procedures necessary to identify and control the conspicuous ergonomics workplace risk factors of musculoskeletal disorders.
Professor Nadine Sarter has received funding from the FAA for “Complexity: Definitions, Empirical Findings and Recommendations for Training and Design”. In recent years, complexity has often been cited as a major contributing factor to incidents and accidents involving breakdowns in human-automation interaction. It is considered by some to be the main risk factor to safety in high-risk domains, such as aviation. The goal of this FAA-funded research is therefore to prepare a state-of-the-art report on system complexity – its definition, its known effects on human and joint system performance and evidence for the effectiveness of current attempts to address this challenge. Such an overview is critical for being able to develop regulatory and guidance material for FAA Aircraft Certification specialists who are responsible for evaluating and approving modern flight deck systems. It is also needed to provide design guidance to avionics and airframe manufacturers who develop cockpit technologies and to airlines that need to prepare pilots through training for handling increasingly sophisticated aircraft systems.
The National Science Foundation (NSF) has granted Professor Siqian Shen research funding for a project titled “Data-driven approaches to managing uncertain load control in sustainable power systems.” This is a joint project investigated with two other professors, Johanna Mathieu and Ian Hiskins, in the Department of Electrical Engineering and Computer Science at the University of Michigan. The goal is to develop data-driven, distribution-free approaches to manage load control uncertainty in future electric power systems, which is essential to the effective and efficient utilization of this resource, and in turn will support the integration of higher penetrations of sustainable energy sources. We generalize newly developed stochastic optimization techniques so that they can be used to manage the time-varying, correlated, and complex uncertainty associated with load control. In addition, to developing new methods we will also quantify the tradeoff between load control uncertainty and profitability, and the impact of load control uncertainty on power system sustainability.
Professor Cong Shi has also received research funding from the NSF. His project is titled “Sustainability in Supply Chain: An Innovative and Systemic Approach.” Increasing social concerns over the environmental externalities of business or daily activities urge us to seek better strategies to mitigate the negative environmental impact. In fact, sustainability issues are often value/supply chain issues. This award supports research to develop new framework and methods for managing sustainability in supply chain. We aim to (i) develop efficient algorithms for managing perishable inventory systems; (ii) propose resource allocation methods for reusable resources; and (iii) study the fuel procurement and delivery problems in energy companies.