Robert J. Riggs

University of Virginia | UVa · Engineering Systems and Environment (ESE)

Cross-docking implementation pursues different goals, including integrating transportation, shorter delivery time, and cost reduction. In this paper, we proposed an operational approach to schedule the trucks in a cross-docking system considering the breakdown probability of the trucks, capacity constraint, and earliness penalty under a just-in-tim...

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to generate natural language conversation fully autonomously. ChatGPT is built on the transformer architecture and trai...

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to generate natural language conversation fully autonomously. ChatGPT is built on the transformer architecture and trai...

Due to the lack of resources, individuals, groups, or countries are more involved in common resource conflicts. This paper uses the Graph Model for Conflict Resolution methodology to model a conflict based on the Nash solution concept, General Meta-Rationality, Symmetric Meta-Rationality, Sequential Stability, Limited h Move Stability, and Non-Myop...

Determining triage activation levels in geriatric patients who fall (GF), and patients with penetrating wounds can be difficult and inaccurate, resulting in excessive overtriage (OT) and undertriage (UT) rates. We developed trauma activation prediction models using field data to predict with greater accuracy trauma activation level and triage rates...

This paper addresses the problem of profit-oriented disassembly line design and balancing considering partial disassembly, presence of hazardous parts and uncertainty of task processing times. Few papers have studied the stochastic disassembly line balancing problem and existing approaches have focused on heuristic and metaheuristic methods. Most e...

For disassembly sequence generation, partial disassembly and sequence dependent task times are typically not considered together in the same model. We developed a two-stage optimization program that first determines the optimal partial disassembly sequence according to reuse value only, followed by the second stage that finds the optimal partial di...

Disassembly is an important aspect of end of life product treatment, as well as having products disassembled in an efficient and responsible manner. Disassembly line balancing is a technique that enables a product to be disassembled as efficiently and economically viable as possible; however, considering all possible end of life (EOL) states of a p...

Remanufacturing is a promising product recovery method that brings new life to cores that otherwise would be discarded thus losing all value. Disassembly is a sub-process of remanufacturing where components and modules are removed from the core, sorted and graded, and directly reused, refurbished, recycled, or disposed of. Disassembly is the backbo...

Liaison or connection graphs depict physical mates between components in a graphical representation but do not incorporate any precedence relations or order of assembly or disassembly of components. For the context of disassembly, we developed a method to graphically show not only the physical mates between components but also the disassembly prece...

Closed loop manufacturing systems (CLMSs) with recirculating material handling devices are extensively used in various industrial environments. The performance of such systems is impacted by many factors such as the total capacity of pallets, the actual number of pallets in the system, the machine reliability and processing time, the pallet index s...