The University of Texas at San Antonio
UTSA Digital Collections (The University of Texas at San Antonio)Not a member yet
42217 research outputs found
Sort by
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; This paper proposes a framework to support the full virtual manufacturing enterprise lifecycle from the creation to the operation and dissolution. The paper will show how the framework supports the activities involved in the setup of virtual manufacturing enterprise, how to run it and which tools are needed. Three main perspectives are considered: knowledge and information, methodology and Technology. A business case analysis is then presented in order to understand the framework applicability to the development of collaborative business opportunities in an engineer-to-order and one-of-a-kind production environments, which is common to a large number of SMEs
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; The paper deals with controlling of diagnostic processes when failures in manufacturing process occur. The aim is to make an experiment and try to prove that “failure diagnostics” can be controlled. We will focused on developing some precautions which could be used as a tool for controlling and following improvement of diagnostic processes in case of occurring failures. The diagnostics system is an important tool for management set correction and improvement processes. Therefore, it increases their importance and also the effort to their controlling and following improvement on the field of solving problems and failures. The aim of the precautions is to ensure Zero-defect Manufacturing. Our experiment is focused on area of solderability testing because this area is directly connected with manufacturing processes and diagnostic processes have to start for detection of cause of the failure/proble
Annual Report
No full textThis collection includes digitized publications of the Texas Biomedical Research Institute between 1953 and the present
Andrea Figueroa - Chan
No full textElectronic Records related to MS 434, Community Alliance for A United San Antonio (CAUSA). The CAUSA\Andrea Figeroa\Chan folder contains photographs of District 9 Councilwoman Elisa Chan at San Antonio City Council meeting
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Solar energy industry is an exceptional industry which desperately relies on government support and subsidy. The demand is decreasing since the government support reduction, moreover, the dramatically increase China solar manufacturers have great impact on solar product price in recent years. Because the insufficient supply of silicon materials carries the issue of solar cell recycle, the solar manufacturer must design a sustainable closed-loop supply chain (CLSC) to recycle and reuse the retired solar cells to achieve 3E (Effective, Efficient, Environmental; 3E) objectives. This paper studies an integrated CLSC network design problem with sustainable concerns in the solar energy industry. We are interested in the logistics flows, capacity expansion and technology investments of existing and potential facilities in the multi-stage CLSC. Therefore, a deterministic multi-objective mixed integer programming model capturing the tradeoffs between the total cost and the carbon dioxide (CO2) emission is developed to tackle the multi-stage CLSC design problem from both economic and environmental perspectives. Due to the multi-objective nature and computational complexity, a multi-objective particle swarm optimization (MOPSO) with novel flow assignment algorithms is designed to search non-dominated /Pareto CLSC design solutions. Finally, a case study of crystalline solar energy industry is illustrated to verify the proposed multi-objective CLSC design model and demonstrate the efficiency of the developed MOPSO algorithm in terms of computational time and solution qualit
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; The challenges in managing software development in technology oriented companies have led to different project management methodologies such as Waterfall and Agile approach. Agile methodologies are a group of software development methods that are incremental and iterative. These methods are more effective and important for project management. For the companies that develop complex software, using agile methodologies is particularly important. Kanban and Scrum are two powerful agile project management approaches in software development. The objective of Scrum and Kanban is to help companies work more effectively by telling what to do, how to manage time, how to set-up the team, and finally how to optimize the process. Although these methodologies are significant to companies, a review of literature indicates that there is lack of statistical evidence about which methodology is more effective in terms of budget handling, risk control, quality of the project, available resources, clear project scope and schedule handling. This research investigated the details of Scrum and Kanban and the comparative analysis between them in terms of budget, schedule, risk, resources, scope and qualit
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Manufacture of medical simulations and devices is complex as parameters are often complex and ill-understood. Until recently the accurate measurement of contact loads acting in the Glenohumeral joint have been difficult to calculate and define. Now, contact forces and moments are measured in-vivo using telemeterized Shoulder implants. This method limits testing opportunities so a dynamic Shoulder testing apparatus has been developed to examine Glenohumeral joint motion and forces. This in-vitro study describes a novel testing arrangement and evaluates the accuracy of forces generated in the Glenohumeral joint using an instrumented prosthetic implant. Forces were applied to cables to simulate loading of the supraspinatus, subscapularis, infraspinatus/teres minor, long head biceps and anterior, middle, and posterior deltoid muscles. The test rig described reproduces the 6DOF of the Glenohumeral joint and accurately recreates the contact forces measured in-vivo. This design will allow many more tests to be simulated including comparison of fixation methods and high impact injuries. As a result of the study it will be possible to make recommendations regarding the biomechanical fixation techniques of the proximal Humerus for varying complexities of fracture, differing bone properties and populations in an attempt to find the optimal treatment to suit each individual patient. It also provides a valuable demonstration of new design and validation techniques used when developing medical simulations and device
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Manual robot guidance is an intuitive approach to teach robots with human’s skills in the loop. It is particularly useful to manufacturers because of the high flexibility and low programming efforts. However, manual robot guidance requires compliance control that is generally not available in industrial robots. We address this issue with a simulation-based approach. The dynamics of the robot are replicated and its motion is controlled on the simulator, which is enriched with a joint admittance controller driven in real time with external joint torques sensed during interaction with the physical robot. We then virtually transfer the admittance capability by sending back the simulated compliant joint position to the real robot to enable manual guidance. Experimental case studies are provided to illustrate the practical performance and usefulness of the proposed smooth bidirectional transition between 3D simulation and reality, as pursued by eRobotics to address complex issues in industrial automatio
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Recently, mold manufacturing companies in Korea try to reinforce their competitiveness and find collaboration partners from overseas. In order to find their collaboration partners, companies participate in various kinds of expositions and conferences, or sometimes use business agents and websites. After revitalizing internet, many companies try to find their collaboration partners via supplier discovery websites such as alibaba.com, mfg.com, and so on. These websites provide general information or engage in business contracts between buyers and suppliers by human force. In such cases, the website users have to pay a lot of money for their membership and contracts. This will be a big barrier for Korea mold manufacturers as well as others to use such websites. Therefore, in this paper, we suggest a web-based business supporting system, referred to as an Excellent Manufacturer Scouting System(EMSS), which is developed to support core business functions including supplier discovery, negotiation, and collaboration between overseas buyers and domestic suppliers. In order to discover collaboration partners, EMSS has been developed based on ontology models including matching algorithms which can analyze a demand of collaboration partners. Ontology models and matching algorithms can reflect companies’ preference and qualitative tendency. In order to evaluate quantitatively, EMSS has assessment models to verify collaboration partners who are candidates of collaboration. Suggested models, algorithms, and EMSS are novel in the area of supplier discovery and assessment especially from the manufacturability point of vie
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Low process variability and capability index might be some of customer's requirements. Therefore it is necessary to fulfil these requirements and guarantee them in the future. Since state-of-art companies that want to keep up with competitors have to consider all actions which might prevent losses or customer's dissatisfaction. This paper deals with possibilities how to decrease the process variability and satisfy customers. For process variability decrease, statistical experiments were carried out. The paper contains a case study devoted to the usage of design of experiment (DOE) in the production process. The case study reveals ways of dealing with real production problems and offers an effective treatmen