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Articles 1 - 7 of 7
Full-Text Articles in Other Operations Research, Systems Engineering and Industrial Engineering
Carbon Accountability Scores: A Process-Oriented Approach For Carbon Offsetting Using Ai Agents, Joshit Mohanty, Vaishali Vaishali
Carbon Accountability Scores: A Process-Oriented Approach For Carbon Offsetting Using Ai Agents, Joshit Mohanty, Vaishali Vaishali
Graduate Student Government Association Research Conference
Conventional carbon offset programs rely on quantified emissions to determine balancing requirements. While this approach offers a standardized means of measuring carbon output, it often provides industries with a loophole—allowing them to offset their emissions by purchasing equivalent credits for activities such as tree planting rather than tackling inefficiencies at the source. This research proposes a process-based framework called Carbon Accountability Scores (CA scores) to offer a proactive strategy for assessing and reducing carbon footprints. Instead of focusing on the mere balancing of emitted and sequestered carbon, CA scores integrate an organization’s operational processes into the calculation, thereby offering the …
Digital Thread: Bridging Macro–Micro Services In System-Of-Systems, Joshit Mohanty
Digital Thread: Bridging Macro–Micro Services In System-Of-Systems, Joshit Mohanty
Graduate Student Government Association Research Conference
Organizations and industries increasingly rely on distributed services in decentralized environments—ranging from large-scale, system-of-system architectures to fine-grained, agent-based microservices. While this distributed paradigm offers flexibility and innovation, it presents critical challenges such as interoperability gaps, inconsistent data formats, and a lack of holistic oversight. Traditional integration approaches, including ad-hoc middleware or enterprise service buses, tend to solve these issues reactively. As a result, technical debt accumulates, stakeholder misalignments persist, and scaling to new demands becomes complex.
This research proposes digital thread (DT) as the unifying framework to create an authoritative source of truth: a continuous flow of information across the …
Systems Statistical Engineering – Hierarchical Fuzzy Constraint Propagation, Hengameh Fakhravar, Hesamoddin Tahami
Systems Statistical Engineering – Hierarchical Fuzzy Constraint Propagation, Hengameh Fakhravar, Hesamoddin Tahami
Engineering Management & Systems Engineering Faculty Publications
Driven by a growing requirement during the 21st century for the integration of rigorous statistical analyses in engineering research, there has been a movement within the statistics and quality communities to evolve a unified statistical engineering body of knowledge (Hoerl & Snee, 2010). Systems Statistical Engineering research seeks to integrate causal Bayesian hierarchical modeling (Pearl, 2009) and cybernetic control theory within Beer's Viable System Model (S Beer, 1972; Stafford Beer, 1979, 1985) and the Complex Systems Governance framework (Keating, 2014; Keating & Katina, 2015, 2016) to produce multivariate systemic models for robust dynamic systems mission performance. (Cotter & Quigley, 2018) …
Adaptive Task Allocation In Automated Vehicles, Skye Taylor, Bin Hu, Jing Chen
Adaptive Task Allocation In Automated Vehicles, Skye Taylor, Bin Hu, Jing Chen
Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues
Adaptive task allocation is used in many human-machine systems and has been proven to improve operators’ monitoring and/or performance with automated systems. However, there is little knowledge surrounding the benefits of adaptive task allocation in automated vehicles. In this study, participants were presented with media depicting driving scenarios of both low and high workload at two levels of automation. The participants reported which tasks they felt comfortable allocating to themselves or to the automated system in each driving scenario, as well as whether they would conduct the task allocation manually or have the automated system automatically allocate the tasks. The …
Influence Of The Inherent Safety Principles On Quantitative Risk In Process Industry: Application Of Genetic Algorithm Process Optimization (Gapo), Mehdi Jahangiri, Abolfazl Moghadasi, Mojtaba Kamalinia, Farid Sadeghianjahromi, Sean Banaee
Influence Of The Inherent Safety Principles On Quantitative Risk In Process Industry: Application Of Genetic Algorithm Process Optimization (Gapo), Mehdi Jahangiri, Abolfazl Moghadasi, Mojtaba Kamalinia, Farid Sadeghianjahromi, Sean Banaee
Community & Environmental Health Faculty Publications
Inherent safety (IS) refers to a set of measures that enhance the safety level of processes and equipment, rendering additional equipment and/or add-ons. The early design phase of processes is suited best for implementation of IS strategies as some of such strategies either are impossible to be implemented at the operation phase or substantially increase costs. The purpose of this study is to present a new approach called genetic algorithm process optimization (GAPO), by which processes can be made inherently safer even at the operation phase. This study simulates the IS principle, assessing its impact on quantitative risk and the …
Agile Knowledge Management: A Review, Reconceptualization, And Extension To Military Applications, Dogan Ozturk, Rafael E. Landaeta, Resit Unal, Cesar Ariel Pinto, Gokay Sursal
Agile Knowledge Management: A Review, Reconceptualization, And Extension To Military Applications, Dogan Ozturk, Rafael E. Landaeta, Resit Unal, Cesar Ariel Pinto, Gokay Sursal
Engineering Management & Systems Engineering Faculty Publications
This study contributes to the literature by integrating agility in knowledge management (KM) operations, especially in military environments via major findings of (a) introducing a new approach to KM with integration of 'agility'; (b) articulating the application of an enhanced process of Agile Knowledge Management (AKM) across the military. The purpose of the study is to explore the conceptual background of agility in KM, re-conceptualize it and extend it to military applications with a special focus on counterinsurgency (COIN). An initial qualitative exploration of agility in KM was performed. Three different concepts and their interrelationships were analyzed: (a) KM, (b) …
A Case Study In The Development Of A Cost Reduction Methodology In The Public Sector, Ross Cooper Haines
A Case Study In The Development Of A Cost Reduction Methodology In The Public Sector, Ross Cooper Haines
Engineering Management & Systems Engineering Theses & Dissertations
Intense fiscal pressures have caused the Department of Defense (DoD) to explore new ways of reducing operating expenses. The primary technique used to achieve this objective is the use of competition - recently for maintenance requirements not previously subjected to competition. One such maintenance requirement is the periodic overhaul of one of the Navy's front line fighter aircraft - the F-14A Tomcat. This case study documents the cost reduction methodology developed by the DoD's incumbent overhaul facility in preparation for competition. The methodology discusses task time estimation, cost center structure, labor rate development and analysis, internal cost transfers as well …