UT System Manufacturing, Logistics and Sustainment Initiative

Organization profile

Organization profile

About the UT System Manufacturing, Logistics and Sustainment Initiative

The University of Texas System's Initiative in Manufacturing, Logistics, and Sustainment is an ambitious effort to connect experts across our campuses with industrial partners in locations across Texas and beyond. This initiative will allow us to identify emerging opportunities in the design and use of innovative materials and processing technologies, as well as to create, develop, and deploy an infrastructure across Texas that will support distributed production, reduce the technology gaps between manufacturers and suppliers, and transform post-production logistics and sustainment. The resulting industrial ecosystem in Texas will continue to attract investment, incubate innovation, expand markets, and create jobs in Texas.

Manufacturing, Logistics and Sustainment at UT San Antonio

UT San Antonio’s (UTSA) research community is strengthened by faculty with recognized expertise in fields including Engineering, Bioscience, Environmental Science, Education, Sociology, Information Technology, Business, and others, and by first-class laboratories and research facilities. With research partnerships that include other universities, corporations, government, and the military, UTSA is poised to play a major role in the advancement of manufacturing and many other arenas that impact lives.

 

Center for Advanced Manufacturing and Lean Systems (CAMLSis a source of expertise in:

  •  Advanced manufacturing Systems: effective and efficient integration and synthesis of automation technologies, human resources, and decision-making models for design, planning, scheduling, and control of production of goods and delivery of services
  • Lean Enterprise Systems: systematic elimination of waste (anything that does not add value) across the enterprise by using various lean and six-sigma tools and methodologies to continuously improve value creating processes in manufacturing and service sectors

 

Institute for Economic Development is dedicated to creating jobs, growing businesses, and fostering economic development. Its many centers and programs provide professional business advising, technical training, research, market analysis, and strategic planning for entrepreneurs, business owners and community leaders. 

 

Open Cloud Institute is an initiative to develop degree programs in cloud computing and big data and to foster collaboration with industry, positioning UTSA and San Antonio as world leaders in open cloud technology. The Open Cloud Institute is administered out of the College of Engineering, with the intension to provide ample opportunities for engineering, business, and science faculty and students to work together.

 

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Robots Engineering & Materials Science
Costs Engineering & Materials Science
Supply chains Engineering & Materials Science
Controllers Engineering & Materials Science
Biofuels Engineering & Materials Science
Biomass Engineering & Materials Science
Kinematics Engineering & Materials Science
Model Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2017

  • 24 Article
  • 7 Conference contribution
  • 1 Editorial
Manipulators
Kinematics
Robots
Inverse kinematics
Level control

A Cloud-based Kanban Decision Support System for Resource Scheduling & Management

Krishnaiyer, K. & Chen, F. F. 2017 In : Procedia Manufacturing. 11, p. 1489-1494 6 p.

Research output: Research - peer-reviewArticle

Decision support systems
Scheduling
Inventory control
Spreadsheets
Supply chain management

A comparative study of leg kinematics for energy-efficient locomotion

Bhounsule, P. A., Pusey, J. & Moussouni, C. Feb 22 2017 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2016. Institute of Electrical and Electronics Engineers Inc., p. 155-161 7 p. 7862390

Research output: ResearchConference contribution

Kinematics
Torque
Robots
Costs
Electric motors