Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service,
2021
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China; ;
Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service, Ruiying Chen, Chengtao Wang, Zhenyuan Liu
Journal of System Simulation
Abstract: Aiming at resolving the faults quickly and effectively with limited human resource,an IT maintenance service model with the consideration of service level is proposed, A knowledge model is proposed,a variety of mutation operators and crossover operators are designed. and the improved genetic algorithm (IGA), the intelligent genetic algorithm based on knowledge model (KIGA) and the adaptive intelligent genetic algorithm based on knowledge model (KAIGA) are formed. The results show that the adaptive mutation and crossover probability can accelerate the convergence speed of the solution, and the knowledge model can also improve the optimization effect of the solution
Research On Generation Technology Of Computer Generated Force In Lvc Training System,
2021
1. Army Armored Force Academy Drill and Training Center, Beijing 100072, China; ;
Research On Generation Technology Of Computer Generated Force In Lvc Training System, Gao Ang, Zhiming Dong, Guohui Zhang, Liang Tao, Qisheng Guo
Journal of System Simulation
Abstract: LVC training system of the combat equipment under the condition of confrontation is an effective means of training, aiming at the problem that in LVC training system, computer generated forces are difficult to meet the demand of training problems. The concept of LVC training and LVC training system is clarified, according to the relationship between model and system structure, the corresponding modeling technology requirements of three different hierarchical models, namely logical range entity configuration, command entity and combat entity, are expounded. According to the specific requirements, four computer-generated force generation methods are proposed, namely, logical target range virtual and …
Heterogeneous Performance Modeling With Applications In Healthcare And Reliability Engineering,
2021
University of South Florida
Heterogeneous Performance Modeling With Applications In Healthcare And Reliability Engineering, Xuxue Sun
USF Tampa Graduate Theses and Dissertations
In both health systems engineering and reliability engineering, individual units, such as patients and product units, often exhibit highly heterogeneous performance due to the influences of various observed individual characteristics and unobserved/unknown factors. Successful modeling of the heterogeneous performance of individual units is of great importance. It will not only facilitate the identification and quantification of influencing factors for improving performance of individual units, but also improve prediction accuracy of their future performance. This will further facilitate better decisions, such as cost-effective and adaptive healthcare resource planning decision, and proactive maintenance policy at reduced cost. However, due to the highly …
A Dynamic Programming Approach To Determine Optimum Modularity Level In Industrial Packaging,
2021
Anna University
A Dynamic Programming Approach To Determine Optimum Modularity Level In Industrial Packaging, Marshal Louie, Kumar B
Journal of Applied Packaging Research
Modular packaging facilitate customization for accommodating variable product sizes in a product family. When determining package sizes for product variability, packaging engineers does not find difficulty to determine package dimension for less product variety whereas if the product variety is more, then determining the dimension of modular package involves complex decision-making and time-consuming process to find the optimal solution. This in turn directly impacts the overall lead time of the supply chain. Thus, in this paper a dynamic programming is developed to determine the quantity and dimension of modular packages for every demand of assorted products sizes. The program helps …
Do Your Projects Support Your Strategy? Applying Benefits Realization Management,
2021
University of Arkansas, Fayetteville
Do Your Projects Support Your Strategy? Applying Benefits Realization Management, Phil Jones
Operations Management Presentations
In this webinar, foundational concepts of Benefits Realization Management will be presented and discussed. Benefits Realization Management (BRM) is a both a discipline and a process used to align projects undertaken by an organization with the organization’s strategy and culture.
Energy Consumption And Tardiness Improvement For A Flexible Job Shop And A Warehouse,
2021
Louisiana State University and Agricultural and Mechanical College
Energy Consumption And Tardiness Improvement For A Flexible Job Shop And A Warehouse, Ahmad Ebrahimi
LSU Doctoral Dissertations
In recent years, energy consumption (EC) is studied to see its effects on monetary and non-monetary costs in manufacturing and warehousing. EC in manufacturing and warehousing, however, needs to be studied with conventional performance measures such as production/operation tardiness since there is a trade-off between EC and tardiness costs. Therefore, this research is conducted with four objectives to study EC and tardiness for a flexible job shop and a warehouse as follows. The first objective of this research is to integrate job scheduling and layout, which are interrelated in improving EC and tardiness for a flexible job shop. Thus, we …
Meta-Heuristic Optimization Methods For Quaternion-Valued Neural Networks,
2021
Air Force Institute of Technology
Meta-Heuristic Optimization Methods For Quaternion-Valued Neural Networks, Jeremiah P. Bill
Theses and Dissertations
In recent years, real-valued neural networks have demonstrated promising, and often striking, results across a broad range of domains. This has driven a surge of applications utilizing high-dimensional datasets. While many techniques exist to alleviate issues of high-dimensionality, they all induce a cost in terms of network size or computational runtime. This work examines the use of quaternions, a form of hypercomplex numbers, in neural networks. The constructed networks demonstrate the ability of quaternions to encode high-dimensional data in an efficient neural network structure, showing that hypercomplex neural networks reduce the number of total trainable parameters compared to their real-valued …
Evaluating The Impact Of Culture On Customer Satisfaction For Fms Projects,
2021
Air Force Institute of Technology
Evaluating The Impact Of Culture On Customer Satisfaction For Fms Projects, Yaquari A. Adams Ii
Theses and Dissertations
The cost, time, and quality pillars of the iron triangle in project management are often considered the most important factors for managers to consider when striving to achieve project success. However, recent literature suggests customer satisfaction and end-user benefit are the most important elements to prioritize during project development. This research analyzes the Air Force Security Assistance Center Construction Division and Foreign Military Sales (FMS) joint construction operations in relation to two Project Management Body of Knowledge (PMBOK) knowledge areas, project stakeholder management and project risk management. Project stakeholder management is addressed by identifying the relationship between cultural competency and …
Exploring The Limits Of Strategic Thought: Evaluating How Different Communication Modalities Affect The Nature Of Strategic Decision-Making Using Cognitive Hierarchy,
2021
Air Force Institute of Technology
Exploring The Limits Of Strategic Thought: Evaluating How Different Communication Modalities Affect The Nature Of Strategic Decision-Making Using Cognitive Hierarchy, Stephen D. Donnel
Theses and Dissertations
This research examines and quantifies the degree to which both information communication modality and the situational complexity affect individuals' ability to process the provided information and determine an effective strategy. Human subject testing herein consists of benign benevolent intervention involving the presentation of a series of strategic situations. For each situation, a participant attempts to identify their best response for a two-player, normal-form game with complete information. In each such game, players seek to maximize their own utility while considering their own actions, their opponent's actions, and each player's respective preferences over outcomes resulting from the possible combinations of actions. …
Air Combat Maneuvering Via Operations Research And Artificial Intelligence Methods,
2021
Air Force Institute of Technology
Air Combat Maneuvering Via Operations Research And Artificial Intelligence Methods, James B. Crumpacker
Theses and Dissertations
Within visual range air combat requires rapid, sequential decision-making to survive and defeat the adversary. Fighter pilots spend years perfecting maneuvers for these types of engagements, yet the emergence of unmanned, autonomous vehicle technologies elicits a natural question - can an autonomous unmanned combat aerial vehicle (AUCAV) be imbued with the necessary artificial intelligence to perform air combat maneuvering tasks independently? We formulate and solve the air combat maneuvering problem to examine this question, developing a Markov decision process model to control an AUCAV seeking to destroy a maneuvering adversarial vehicle. An approximate dynamic programming (ADP) approach implementing neural network …
The Autonomous Attack Aviation Problem,
2021
Air Force Institute of Technology
The Autonomous Attack Aviation Problem, John C. Goodwill
Theses and Dissertations
An autonomous unmanned combat aerial vehicle (AUCAV) performing an air-to-ground attack mission must make sequential targeting and routing decisions under uncertainty. We formulate a Markov decision process model of this autonomous attack aviation problem (A3P) and solve it using an approximate dynamic programming (ADP) approach. We develop an approximate policy iteration algorithm that implements a least squares temporal difference learning mechanism to solve the A3P. Basis functions are developed and tested for application within the ADP algorithm. The ADP policy is compared to a benchmark policy, the DROP policy, which is determined by repeatedly solving a deterministic orienteering problem as …
Bayesian Augmentation Of Cnn-Lstm For Video Classification With Uncertainty Measures,
2021
Air Force Institute of Technology
Bayesian Augmentation Of Cnn-Lstm For Video Classification With Uncertainty Measures, Emmie K. Swize
Theses and Dissertations
The success of Department of Defense (DoD) missions rely heavily on intelligence, surveillance, and reconnaissance (ISR) capabilities, which supply information about the activities and resources of an enemy or adversary. To secure this information, satellites and unmanned aircraft systems collect video data to be classified by either humans or machine learning networks. Traditional automated video classification methods lack measures of uncertainty, meaning the network is unable to identify those cases in which it predictions are made with significant uncertainty. This leads to misclassification, as the traditional network classifies each observation with same amount of certainty, no matter what the observation …
Utilizing Model Based Systems Engineering To Identify Safety Critical Functions In Airworthiness Certification,
2021
Air Force Institute of Technology
Utilizing Model Based Systems Engineering To Identify Safety Critical Functions In Airworthiness Certification, Jeffrey C. King
Theses and Dissertations
Modern aircraft are complex systems with numerous interacting hardware and software components. To minimize any safety mishaps during operations, new aircraft designs and modifications must go through an airworthiness certification. The current United States Air Force (USAF) airworthiness certification process, captured in MIL-HDBK-516C, is time-consuming and manpower intensive due to extensive documentation. To minimize inefficiencies of this document-based approach, this thesis examined model-based systems engineering (MBSE) to support Safety Critical Function (SCF) thread analysis against criteria found in Section 15 of MIL-HDBK-516C. Within this scope, the research identified an SCF domain-specific profile and style guide using the Systems Modeling Language …
A State-Based Model For Validating Autonomous Munition Behaviors,
2021
Air Force Institute of Technology
A State-Based Model For Validating Autonomous Munition Behaviors, Dalton J. Miller
Theses and Dissertations
Autonomous munitions provide an opportunity for the Department of Defense (DoD) to extend the capabilities of operators in combat situations. However, there is also a need for a high level of trust in the effectiveness and accuracy of these systems. With the advent of model-based standards in autonomy and munitions, there is a need to implement these techniques toward an effective modeling and simulation (MS) capability. By leveraging modern MS tools such as Cameo Systems Modeler and the DoD's Advanced Framework for Simulation, Integration, and Modeling (AFSIM), this thesis proposes a framework for simulating complex autonomy architectures within high fidelity …
Data- Driven Asset Degradation Modeling: An Enterprise-Wide Roof System Case Study,
2021
Air Force Institute of Technology
Data- Driven Asset Degradation Modeling: An Enterprise-Wide Roof System Case Study, Kurt R. Lamm
Theses and Dissertations
Organizations with large facility and infrastructure portfolios have used asset management databases for over ten years to collect and standardize asset condition data. Decision makers use this data to predict asset degradation and expected service life, enabling prioritized maintenance, repair, and renovation actions that reduce asset life-cycle costs and achieve organizational objectives. However, these asset condition forecasts are calculated using standardized, self-correcting distribution models that rely on continuous functions. This research presents four step wise asset condition forecast models that utilize historical asset inspection data to improve prediction accuracy: (1) Slope, (2) Weighted Slope, (3) Condition-intelligent Weighted Slope, and (4) …
Assessing The Effectiveness Of Afwerx Ability To Influence Regional Participation Rates And Capture Cluster Specific Technological Innovations,
2021
Air Force Institute of Technology
Assessing The Effectiveness Of Afwerx Ability To Influence Regional Participation Rates And Capture Cluster Specific Technological Innovations, Colin M. Sandor
Theses and Dissertations
The 2018 National Defense Strategy (NDS) emphasized capturing innovation through partnerships with non-traditional defense contractors. Furthermore, the NDS outlined the need to rapidly acquire new technologies to maintain a competitive advantage against our adversaries. The AFWERX program is the Air Forces attempt to accomplish these goals. AFWERX seeks to capture innovations occurring within the private sector of the United States by placing itself geographically within top innovation ecosystems. An approach that creates a setting where the Air Force is one of many investors, who benefit from the learning and investments across the entire network. The research within this paper examines …
A Decision-Support System For The Deployment Tasking Process Of U.S. Air Force Civil Engineer Officers,
2021
Air Force Institute of Technology
A Decision-Support System For The Deployment Tasking Process Of U.S. Air Force Civil Engineer Officers, Kenneth A. Neal
Theses and Dissertations
The Armed Forces frequently deploy their personnel to expeditionary locations around the world. For example, the Air Force tasks its personnel to deploy based on a six-month rotational cycle. In the current tasking process, the deployment makes its way down from combatant commanders to squadron commanders through the chain of command. The commander then has a few days to select an individual from their unit to fill the tasking. The commander may consider an individuals’ dwell time, home-station position, and upcoming significant life events; however, because commanders have little time and information, minimum requirements selection criteria often become the driving …
The Impact Of Threat Levels At The Casualty Collection Point On Military Medical Evacuation System Performance,
2021
Air Force Institute of Technology
The Impact Of Threat Levels At The Casualty Collection Point On Military Medical Evacuation System Performance, Nathaniel C. Dennie
Theses and Dissertations
One of the primary duties of the Military Health System is to provide effective and efficient medical evacuation (MEDEVAC) to injured battlefield personnel. To accomplish this, military medical planners seek to develop high-quality dispatching policies that dictate how deployed MEDEVAC assets are utilized throughout combat operations. This thesis seeks to determine dispatching policies that improve the performance of the MEDEVAC system. A discounted, infinite-horizon continuous-time Markov decision process (MDP) model is developed to examine the MEDEVAC dispatching problem. The model incorporates problem features that are not considered under the current dispatching policy (e.g., myopic policy), which tasks the closest-available MEDEVAC …
Investigating Manufacturer Selection Decisions For Built Infrastructure Assets Using A Technical Performance Metric,
2021
Air Force Institute of Technology
Investigating Manufacturer Selection Decisions For Built Infrastructure Assets Using A Technical Performance Metric, Sarah L. Brown
Theses and Dissertations
Facility and built infrastructure asset management are necessary functions of any organization that utilizes buildings to operate their businesses. However, most organizations require facility managers to ensure the successful operation of their assets without providing sufficient resources to accomplish this task. Therefore, in resource-scarce environments, facility managers require data-driven solutions to manage their assets and make the best decisions. Facility managers need novel solutions to help make asset life-cycle decisions. This research provides such a solution. Capitalizing on available data, a technical performance metric is created, allowing facility managers to calculate their assets' operational performance. This performance metric provides a …
The Utility Of Modeling An Enterprise Architecture For Air Force Digital Transformation,
2021
Air Force Institute of Technology
The Utility Of Modeling An Enterprise Architecture For Air Force Digital Transformation, Mark W. Kassan
Theses and Dissertations
The Air Force Materiel Command is undergoing a digital transformation to increase the speed of delivering new warfighter capabilities. This Digital Campaign consists of six Lines of Effort (LOEs) formed with diverse goals to transform the enterprise. This research investigated using the Zachman Framework and Systems Modeling Language to analyze this transformation. Extensive modeling captured the as-is Preliminary Design Review (PDR) process, and mapped LOE goals as primary impacts to Zachman cells. This led to an identification of a to-be digital PDR process. Secondary affected cells were then traced following a relationship analysis. Four discoveries were made. (1) Enterprise modeling …
