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Full-Text Articles in Operations and Supply Chain Management

Multi-Study Analysis Of Learning Culture, Human Capital And Operational Performance In Supply Chain Management: The Moderating Role Of Workforce Level, Robert E. Overstreet, Joseph B. Skipper, Joseph R. Huscroft Jr., Matt J. Cherry, Andrew L. Cooper Jul 2019

Multi-Study Analysis Of Learning Culture, Human Capital And Operational Performance In Supply Chain Management: The Moderating Role Of Workforce Level, Robert E. Overstreet, Joseph B. Skipper, Joseph R. Huscroft Jr., Matt J. Cherry, Andrew L. Cooper

Faculty Publications

Purpose — The purpose of this study is to empirically evaluate the relationship between learning culture, workforce level, human capital and operational performance in two diverse supply chain populations, aircraft maintenance and logistics readiness. Design/methodology/approach — Drawing upon competence-based view of the firm and human capital theory, this paper analyzes data from two studies. Findings — The results provide support for the hypothesized model. Workforce level moderates the relationship between learning culture and human capital, and human capital partially mediates the relationship between learning culture and operational performance. Research limitations/implications — The findings have implications for behavioral supply chain management …


Strategic Location And Dispatch Management Of Assets In A Military Medical Evacuation Enterprise, Phillip R. Jenkins Jun 2019

Strategic Location And Dispatch Management Of Assets In A Military Medical Evacuation Enterprise, Phillip R. Jenkins

Theses and Dissertations

This dissertation considers the importance of optimizing deployed military medical evacuation (MEDEVAC) systems and utilizes operations research techniques to develop models that allow military medical planners to analyze different strategies regarding the management of MEDEVAC assets in a deployed environment. For optimization models relating to selected subproblems of the MEDEVAC enterprise, the work herein leverages integer programming, multi-objective optimization, Markov decision processes, approximate dynamic programming, and machine learning, as appropriate, to identify relevant insights for aerial MEDEVAC operations.


Examining The Express Supportability Module: Implementing An Autoregressive Distributed Lag Approach With Air Force Maintenance Data, Troy J. St Peter Mar 2019

Examining The Express Supportability Module: Implementing An Autoregressive Distributed Lag Approach With Air Force Maintenance Data, Troy J. St Peter

Theses and Dissertations

Launched in 1996, EXPRESS (Execution and Prioritization of Repairs Support System) is a program integral to the Air Force reparable supply chain. Daily, EXPRESS relies on a number of data sources and individual modules like the Supportability Module to determine which necessary repairs can and should be made. The Supportability Module examines the prioritized list of repairs and checks four constraints in order to decide whether each repair can be made given current resources. According to the logic of the module, a single constraint failure means that subsequent resource checks are not made before evaluating the next repair. Unfortunately, this …


Turbojet Range, Loiter, And Altitude Tradeoff Estimations In Efficient Modeling And Optimization Formulations, Lauren M. Bramblett Mar 2019

Turbojet Range, Loiter, And Altitude Tradeoff Estimations In Efficient Modeling And Optimization Formulations, Lauren M. Bramblett

Theses and Dissertations

Identifying accurate tradeoffs between loiter time, range, and loiter altitude for jet aircraft are critical for mission planning, but current methods are cumbersome and time and labor intensive. This research introduces a new method for determining tradeoffs between loiter time, range, and loiter altitude for jet aircraft utilizing specific aircraft performance characteristics and the Bréguet range and endurance equations. Results from this new methodology are compared to the existing model used by the National Air and Space Intelligence Center for flight planning. This method is then extended and applied to several routing assignment problems, taking advantage of the incorporation of …


Humanitarian Logistics: Shipping Designs For The Post Disaster Cargo Surge, Nicholas L. Green Mar 2019

Humanitarian Logistics: Shipping Designs For The Post Disaster Cargo Surge, Nicholas L. Green

Theses and Dissertations

In 2017 Hurricane Maria devastated Puerto Rico. The humanitarian aid community scrambled a response to support the 3.4 million people affected by the disaster. In response, thousands of shipping containers filled with supplies were sent to the island. Numerous reports surfaced regarding significant delays in receiving the shipments. This research reviews the historical account of cargo throughput into Puerto Rico following Maria. A computer simulation built in ARENA compares various what-if scenarios based on empirically collected data and interviews with FEMA, port authorities, and commercial cargo carriers to determine how the humanitarian supply chain could improve for future disaster planning. …


Applying The Multiple Multidimensional Knapsack Assignment Problem To A Cargo Allocation And Transportation Problem With Stochastic Demand, Jocelin S. Maus Mar 2019

Applying The Multiple Multidimensional Knapsack Assignment Problem To A Cargo Allocation And Transportation Problem With Stochastic Demand, Jocelin S. Maus

Theses and Dissertations

The US military relies on airlift to not only deploy and sustain U.S. armed forces anywhere in the world but also to rapidly mobilize humanitarian efforts and supplies. Operations already impacted by the limited capacity of aircraft also fall prey to dynamic requirements and differing priorities of multiple global locations. A growing concern for the modern military budget is how to provide airlift functions expediently and economically while mitigating the costs of shortfalls and overages. Utilizing fiscal year 2017-2018 cargo data published by the 618th Air Operations Center and modeling this problem as a multiple multidimensional knapsack assignment problem (MMKAP), …


Predicting Failures Of The Brazilian Air Force Tucano Fleet Using Survival Analysis, Luciana Mesquita Monteiro Mar 2019

Predicting Failures Of The Brazilian Air Force Tucano Fleet Using Survival Analysis, Luciana Mesquita Monteiro

Theses and Dissertations

During the life of an aircraft, several failures may occur causing unplanned maintenance and costs of parts, labor, transportation, lost opportunities, and operations, among others. The prediction of these events becomes especially difficult for new airframes, since they do not have many flight hours or enough data to observe failures. This study analyzes and model the time between failures (TBF) of the Brazilian Air Force T-27 Tucano fleet by applying various non-parametric, semi-parametric, and parametric statistical models, to the TBF, such as the descriptive statistics, Kaplan-Meier estimators, Cox proportional hazards models, with or without frailty, and survival regression models, with …


Fuzzy Inference Systems For Risk Appraisal In Military Operational Planning, Curtis B. Nelson Mar 2019

Fuzzy Inference Systems For Risk Appraisal In Military Operational Planning, Curtis B. Nelson

Theses and Dissertations

Advances in computing and mathematical techniques have given rise to increasingly complex models employed in the management of risk across numerous disciplines. While current military doctrine embraces sound practices for identifying, communicating, and mitigating risk, the complex nature of modern operational environments prevents the enumeration of risk factors and consequences necessary to leverage anything beyond rudimentary risk models. Efforts to model military operational risk in quantitative terms are stymied by the interaction of incomplete, inadequate, and unreliable knowledge. Specifically, it is evident that joint and inter-Service literature on risk are inconsistent, ill-defined, and prescribe imprecise approaches to codifying risk. Notably, …


Simulating Maritime Chokepoint Disruption In The Global Food Supply, Ryan B. Walton Mar 2019

Simulating Maritime Chokepoint Disruption In The Global Food Supply, Ryan B. Walton

Theses and Dissertations

The three food crops of wheat, maize, and rice make up almost two-thirds of the world's dietary energy needs. Of these three, just six countries provide 70% of the global supply. Furthermore, soybeans account for three-quarters of global livestock feed, and only three countries provide 80% of the global supply. Considering over half of the world's exported supply of these four commodities are exported via maritime means, the free ow of marine traffic becomes paramount. Current models lack the ability to capture the inherent variance displayed in the maritime transport system, which can lead to inaccurate assumptions about how the …


Operations Research Methods For Multi-Domain Campaign Phase Planning, John A. Schlicht Mar 2019

Operations Research Methods For Multi-Domain Campaign Phase Planning, John A. Schlicht

Theses and Dissertations

In "Antiaccess Warfare as Strategy," Tangredi posits the question and need to consider multiple domains and governmental and warfighting functions in various phases of campaign execution. Multi-domain integration within and across various phases of the joint campaign presents a host of non-linear factors that are compounded and amplified by uncertainties. Colonel Blotto is a simple game that is suited to compare traditional force-on-force military engagements where mass wins the day, but have had limited application to more complex military planning. This thesis explores the formulation schema, data-driven parameters, methods of calculation, and scenarios applicable to a generalized Colonel Blotto (General …