Industrial and Systems Engineering Review最新文献

{"title":"Exploring the Causal Relationship between Factors Affecting US Army Recruitment","authors":"Graham Ungrady, Matthew F. Dabkowski","doi":"10.37266/iser.2021v9i2.pp83-90","DOIUrl":"https://doi.org/10.37266/iser.2021v9i2.pp83-90","url":null,"abstract":"Every year, United States Army Recruiting Command (USAREC) dedicates considerable resources to recruiting and accessing soldiers. As the largest branch of the United States Armed Forces, the Army must meet a high recruiting quota while competing in the free-labor market for quality recruits. Over the past two decades, the Army’s success in recruiting ebbed and flowed within the broader context of society and global events. While numerous studies have examined the statistical relationship between factors associated with recruitment, these studies are observational and definitively ascribing causality in retrospect is difficult. With this in mind, we apply fuzzy cognitive mapping (FCM), a graphical method of representing uncertainty in a dynamic system, to model and explore the complex causal relationships between factors. We conclude our paper with implications for USAREC’s efforts, as well as our model’s limitations and opportunities for future work.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129187503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bending Metal: Improving Sheet Metal Repair at Tobyhanna Army Depot through Lean Six Sigma","authors":"James R. Enos, Abigail Burris, Liam M. Caulfield, Robert DeYoung, S.-C. Houng, Christopher Kubitz","doi":"10.37266/iser.2021v9i2.pp99-109","DOIUrl":"https://doi.org/10.37266/iser.2021v9i2.pp99-109","url":null,"abstract":"The Army's Lean Six Sigma methodology includes five phases: Define, Measure, Analyze, Improve, and Control (DMAIC); each of these phases includes interaction between the stakeholder and process team. This paper focuses on the application of Lean Six Sigma methodology at Tobyhanna Army Depot to help reduce overruns and repair cycle time within the sheet metal cost center. At the initiation of the project, the process incurred over 4,000 hours of overruns, a situation in which it takes longer to repair an asset than the standard hours allocated for the repair. Additionally, the average repair cycle time, amount of time required to repair an individual asset, exceeded customer expectations by almost four days. The paper describes recommended solutions to address both problems.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133752771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foreword by Guest Editors COL Paul F. Evangelista & LTC James H. Schreiner","authors":"Paul F. Evangelista, James H. Schreiner","doi":"10.37266/iser.2021v9i2.pp75","DOIUrl":"https://doi.org/10.37266/iser.2021v9i2.pp75","url":null,"abstract":"This special issue of the Industrial and Systems Engineering Review once again showcases the top papers from the annual General Donald R. Keith memorial capstone conference at the United States Military Academy in West Point, NY. Despite continued COVID restrictions, the truly innovative conference included a mix of in-person presentations with over 50 live and remote judges from across academia and industry to create a high-quality event highlighting the undergraduate student team research. After consideration of over 50 academic papers, the eight listed in this issue were selected for publication in this special issue of the journal. The topics discussed are broad and diverse, however decision support within an uncertain and complex environment emerges as a theme. Much of the work completed by industrial and systems engineers focuses on getting decisions right by means of the tools of our trade. The suite of tools surveyed within these papers represents several state-of-the-art methods as well as time-proven techniques within a unique application domain. \u0000 \u0000Military applications dominated several of the papers. Downey et al. studied massive datasets that represent military operational behaviors in training, seeking to better understand military operational capabilities. Ungrady and Dabkowski tackled the complexities of US Army recruiting through the application of fuzzy cognitive maps, searching for causation. Middlebrooks et al. studied military acquisition system decisions, applying system dynamics modeling. \u0000 \u0000Process improvement represented another sub-theme, with continued focus on decision support. Enos et al. applied lean six sigma techniques to manufacturing processes. Katz et al. explored biomedical machine maintenance scheduling, seeking optimal solutions to a complex scheduling task. Kaloudelis et al. developed a pandemic decision support process for universities. \u0000 \u0000Analytics and machine learning techniques applied to the information domain dominated the third sub-theme. Krueger and Enos developed analytics to support ice hockey strategies. Manzonelli et al. applied natural language processing against information operations, seeking to automate the examination of incredible amounts of narrative data that seek to shape beliefs and attitudes. \u0000 \u0000Please join me in congratulating our authors, especially the young undergraduate scholars that provided the primary intellectual efforts that created the contents of this issue. \u0000 \u0000COL Paul F. Evangelista \u0000Chief Data Officer \u0000United States Military Academy \u0000Taylor Hall, 5th Floor \u0000West Point, NY 10996 \u0000Email: paul.evangelista@westpoint.edu \u0000 \u0000James H. Schreiner, PhD, PMP, CPEM, F.ASEM \u0000LTC(P), U.S. Army \u0000Associate Professor \u0000USMA Academy Professor \u0000Director, Engineering Management (EM) Program \u0000Department of Systems Engineering \u0000 \u0000Head Officer Representative, Army Softball \u0000 \u0000United States Military Academy \u0000Room 420 Mahan Hall \u0000West Point, NY 10996 \u0000Email: james.schreiner@westpoint.edu \u0000 \u0000 \u0000","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132355370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Analytics Development from Military Operational Data","authors":"James Downey, Zachary Ellis, Ethan Nguyen, Charlotte Spencer, Paul F. Evangelista","doi":"10.37266/iser.2021v9i2.pp76-82","DOIUrl":"https://doi.org/10.37266/iser.2021v9i2.pp76-82","url":null,"abstract":"Each year, the National Training Center (NTC) located at Fort Irwin, California, hosts multiple Brigade-level rotational units to conduct training exercises. NTC’s Instrumentation Systems (NTC-IS) digitally capture and store characteristics of movement and maneuver, use of fires, and other tactical operations in a vast database. The Army’s Engineer Research and Development Center (ERDC) recently partnered with Training and Doctrine Command (TRADOC) to make some of the data available for introductory analysis within a relational database. While this data has the potential to expose capability gaps, uncover the truth behind doctrinal assumptions, and create a sophisticated feedback platform for Army leaders at all levels, it is largely unexplored and underutilized. The purpose of this project is to demonstrate the value of this data by developing a prototype information system that supports post-rotation analytics, playback capabilities, and repeatable workflows that measure and expose ground-truth operational and logistical behavior and performance during a rotation. The Army modeling and analysis community will use these products to systematically curate and archive the database and enable future analysis of the NTC-IS data.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125114902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biomedical Machine Maintenance Scheduling","authors":"Danielle Katz, Se-Ryang Kim, Alexandra King, Elisha Palm, Johnathon Dulin, Justin T. Hill, Greg Steeger","doi":"10.37266/iser.2021v9i2.pp110-116","DOIUrl":"https://doi.org/10.37266/iser.2021v9i2.pp110-116","url":null,"abstract":"Tissue banks procure approximately 45,000 tissue donations per year, providing nearly 9,000,000 individuals (about half the population of New York) with life-enhancing and life-saving medical procedures. Proper biobank machine maintenance is imperative to this process. Mandatory forms of maintenance are critical to avoid unexpected malfunctions, which can halt operations and render samples unusable. Each machine has a unique reliability rate within the system; although some can quickly be repaired or replaced, many processes rely on limited machinery where even planned downtime can significantly influence the tissue processing. AlloSource, one of the largest tissue manufacturers in the United States, too often schedules these preventive events unnecessarily or inconveniently, resulting in machines breaking down at inopportune times. In response to these inefficiencies we ask, “What is the best consolidated and standardized equipment maintenance schedule that maximizes monthly maintenance events to ensure increased equipment availability while meeting the demand of the biomedical manufacturing network?” We use an optimization model to consider equipment reliability, downtime, availability, and demand to develop a preventive maintenance schedule. Our model focuses on scheduling the maximum number of events the maintenance crew can conduct each month to ensure vital equipment to the allograft process is available, which provides more opportunities for tissue therapies. In doing so, the maintenance crew is also able to complete more events, driving up annual throughput while driving down equipment downtime.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122635656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foreword by Guest Editor LTC James H. Schreiner, PhD, PMP, CPEM","authors":"James H. Schreiner","doi":"10.37266/iser.2019v7i1.pp1","DOIUrl":"https://doi.org/10.37266/iser.2019v7i1.pp1","url":null,"abstract":"FOREWORD \u0000This special issue of the Industrial and Systems Engineering Review highlights top papers from the 2020 annual General Donald R. Keith memorial capstone conference held at the United States Military Academy in West Point, NY. The conference was certainly a first of its kind virtual conference including asynchronous delivery of paper presentations followed by synchronous question and answer sessions with evaluation panels. Following a careful review of 63 total submissions, eleven were selected for publication in this journal. Unique to this year’s special edition is the mixed selection of seven project team capstone papers, and four honors research papers. Each paper incorporated features of systems or industrial engineering and presented detailed and reflective analysis on the topic. Although there are many elements which cut across the works, three general bodies of knowledge emerged in the papers including: systems engineering and decision analysis, systems design, modeling and simulation, and system dynamics. \u0000Systems Engineering and Decision Analysis topics included three unique contributions. Recognized as ‘best paper’ at the 2020 virtual conference, the work of Robinson et al. designed a multi-year predictive cost engineering model enabled through an MS O365 Power BI decision support interface to support U.S. Army Corps of Engineer (USACE) inland waterway national investment strategies. Schloo and Mittal’s work presents research in testing and evaluation of the Engagement Skills Trainer (EST) 2000 towards improving real-world soldier performance. Gerlica et al. employs a robust and scalable K-means clustering methodology to improve decision making in defensive shift schemes for Air Force Baseball outfield personnel. \u0000Systems Design works included three unique contributions. Binney et al. worked to design evaluation criteria for military occupational specialties associated with open-source intelligence (OSINT) analysts for the Army’s OSINT Office. Hales et al. interdisciplinary work aided in the design of search and identification systems to be incorporated on autonomous robotics to enable survivability improvements for the Army’s chemical, biological, radiological, nuclear, and explosives (CBRNE) units. Burke and Connell evaluated and designed a performance measurement-based assessment methodology for U.S. Pacific Command’s Key Leader Engagement process. \u0000System modeling and simulation included three unique contributions: Arderi et al. simulated and assessed how the Hyper-Enabled Operator (HEO) project improves situational awareness for U.S. Special Forces using the Infantry Warrior Simulation (IWARS). Blanks et al. employed a VBA module and Xpress software for a scheduling optimization model for enhancement of final exam scheduling at the U.S. Air Force Academy. Kelley and Mittal utilized a Batch Run Analysis and Simulation Studio (BRASS) program to batch multiple iterations of IWARS scenarios to study the integration of autonom","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133942627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Cyber Security Methodologies: A Direct Comparison of Current Versus Possible DoD Cyber Assets","authors":"Sai Kumar, Vikram Mittal","doi":"10.37266/ISER.2018V6I2.PP101-108","DOIUrl":"https://doi.org/10.37266/ISER.2018V6I2.PP101-108","url":null,"abstract":"Recent years and modern warfare have shown an increasing reliance on the cyber domain to maintain national and military operability, resulting in cyber exploits having a more profound impact on victim nations. As the United States seeks to maximize its ability to capitalize on these exploits and minimize its susceptibility, a decision must be made on the most effective way to accomplish these tasks. Currently, each major department within the Department of Defense (DoD) are methodically building up their own cyber assets to accomplish these tasks as they relate to their traditional domain. There has been a recent proposal to do away with this system structure and instead create a separate Cyber Department, on the same level as the Army, Navy, etc. This paper evaluates the comparative value between the two proposals through value modeling. The value model is based on each alternative’s ability to achieve the end state cyber goals of the DoD and the nation as a whole. Strong indicators point towards a separate Cyber Department as the most valuable alternative available to achieve the nation’s goals, and that there are current weaknesses within our current cyber structure that are open for exploitation.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123214131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling Diffusion of Information in an Increasingly Complex Digital Domain","authors":"D. Provaznik, Jillian Wisniewski","doi":"10.37266/ISER.2018V6I2.PP126-134","DOIUrl":"https://doi.org/10.37266/ISER.2018V6I2.PP126-134","url":null,"abstract":"Offering entertainment, discussion, and information, social media provides users with a stimulating online experience. Within the last five years, it has also become an increasingly popular medium for the consumption of news. News outlets publish articles and reports through social media, and by doing so influence their users in a way that corresponds with the outlet’s political leaning. Because social media outlets provide users with tailored content, the prevalence of biased news reporting reinforces the user’s political values and polarizes their beliefs. This thesis attempts to examine the relationships that give rise to this political polarization in social media and discusses possible opportunities to mitigate it.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130167078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a Solution to the TRADOC Analysis Center’s Big Data Problem: A Big Data Opportunity","authors":"Lee Bares, D. Davis, D. Min, K. Rau, Matthew F. Dabkowski","doi":"10.37266/ISER.2018V6I2.PP82-87","DOIUrl":"https://doi.org/10.37266/ISER.2018V6I2.PP82-87","url":null,"abstract":"As data production, collection, and analytic techniques grow, emerging issues surrounding data management and storage challenge businesses and organizations around the globe. The US Army Training and Doctrine Command’s Analysis Center (TRAC) is no exception. For example, among TRAC's many tasks is the evaluation of new materiel solutions for the Army, which typically necessitates the use of computer simulation models such as COMBAT XXI. These models are computationally expensive, and they generate copious amounts of data, straining TRAC's current resources and forcing difficult, suboptimal decisions regarding data retention and analysis. This paper addresses this issue directly by developing \"big data\" solutions for TRAC and evaluating them using its organizational values. Framed in the context of a use case that prescribes system requirements, we leverage Monte Carlo simulation to account for inherent uncertainty and, ultimately, focus TRAC on several high potential alternatives.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122125768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the Growth of Boko Haram Using System Dynamics","authors":"J. Ferrer, Jillian Wisniewski","doi":"10.37266/ISER.2018V6I2.PP109-117","DOIUrl":"https://doi.org/10.37266/ISER.2018V6I2.PP109-117","url":null,"abstract":"This study uses a systems dynamic approach to understand how the attacks conducted by Boko Haram influence the group’s growth. Boko Haram originated in the early 2000s under Muhammad Yusuf, but the group did not become known for its violence until 2009 (Oftedal, 2013). In 2013, the United States designated Boko Haram as a Foreign Terrorist Organization (U.S. Department of State, 2013). The Nigerian government’s efforts to eliminate the group’s influence in northern Nigeria and neighboring countries has not been successful. As Africa enters the world spotlight, the need for curbing the influence of Boko Haram strengthens. The system dynamics modeling process provides a method of understanding the relationships within the underlying structures that drive the scope of influence of Boko Haram, including organizational growth, media coverage, and attack efficacy. A formalized system dynamics model provides a basis for policy recommendations to counteract the group’s efforts.","PeriodicalId":349010,"journal":{"name":"Industrial and Systems Engineering Review","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}