Article
Computer Science, Interdisciplinary Applications
Pedro Antonio Boareto, Juliana Safanelli, Rafaela B. Liberato, Carla H. C. Moro, Jose Eduardo Pecora Junior, Claudia Moro, Eduardo de Freitas Rocha Loures, Eduardo Alves Portela Santos
Summary: This paper presents a framework combining process mining, discrete event simulation, and multicriteria decision-making methods for guiding process improvement in the health services area. The framework is tested using the clinical path for stroke patients and is found to diagnose the process, identify improvement activities, and guide process management while eliminating the need for on-site testing.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
Article
Chemistry, Multidisciplinary
Djonathan Luiz de Oliveira Quadras, Ian Cavalcante, Mirko Kueck, Lucio Galvao Mendes, Enzo Morosini Frazzon
Summary: This paper presents an approach to predict the lead time and queuing time for soybean seed classification process using a combination of discrete event simulation and machine learning algorithms. By simulating various scenarios and using machine learning-generated data, the best trade-off between performance, investments, and operational costs can be determined.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Industrial
Nuno O. Fernandes, Matthias Thurer, Mark Stevenson
Summary: POLCA is an important control system in low volume, high variety production contexts. This paper proposes integrating card allocation and dispatching decisions to improve performance. Simulation results show that this integrated approach does not improve performance under simple dispatching rules, but significantly improves performance when a more powerful rule is applied.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Economics
Michael J. Sweeting, John Marshall, Matthew Glover, Akhtar Nasim, Matthew J. Bown
Summary: The study found that lengthening the surveillance intervals in the UK Abdominal Aortic Aneurysm Screening Programme, especially for small AAAs, can marginally reduce the incremental cost per QALY of the program. However, it is unclear whether the cost savings from refining surveillance strategies justifies a change in clinical practice.
Article
Engineering, Industrial
Robert Meissner, Antonia Rahn, Kai Wicke
Summary: The aviation industry is experiencing intense competition to reduce operating costs, while factors like sustainability and customer experience are becoming more important. Aircraft maintenance plays a crucial role in operations, with maintenance providers needing to lower costs and contribute to reliable and sustainable aircraft operation. New condition-monitoring technologies are emerging to improve maintenance operations by reducing costs and increasing aircraft availability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Carlos Henrique dos Santos, Jose Antonio de Queiroz, Fabiano Leal, Jose Arnaldo Barra Montevechi
Summary: The advent of new technologies has had a significant impact on systems management, with Industry 4.0 seeking increasingly automated, integrated, and digitized processes. This paper analyzes the applicability of Discrete Event Simulation as a Digital Twin in a non-automated process, proposing a method for conducting simulation projects of this nature and verifying its effectiveness in a real study object. The paper also discusses some issues related to the use of simulation as Digital Twins.
JOURNAL OF SIMULATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Francois-Alexandre Tremblay, Audrey Durand, Michael Morin, Philippe Marier, Jonathan Gaudreault
Summary: Continuous high-frequency wood drying, integrated with a traditional wood finishing line, improves the value of lumber by correcting moisture content piece by piece. Using reinforcement learning for continuous drying operation policies outperforms current industry methods and remains robust to sudden disturbances.
COMPUTERS IN INDUSTRY
(2024)
Article
Critical Care Medicine
Shawn P. E. Nishi, Lisa M. Lowenstein, Tito R. Mendoza, Maria A. Lopez, Laura C. Crocker, Karen Sepucha, Jiangong Niu, Robert J. Volk
Summary: Among patients recently assessed for LCS, the quality of decision-making is highly variable, with patients valuing early cancer detection over concerns about harms. Patients were more likely to receive information on the benefits of LCS than on the risks, and one-third experienced some degree of decisional conflict. However, most patients felt they were adequately involved in the screening decision-making process.
Article
Energy & Fuels
Peng Li, Shuang Li, Hao Yu, Jinyue Yan, Haoran Ji, Jianzhong Wu, Chengshan Wang
Summary: The paper focuses on simulation methods for integrated energy systems with hybrid properties and heterogeneous characteristics, particularly district heating systems and electricity-heat integrated energy systems. The proposed MQSS3 method shows high simulation efficiency and accurately captures dynamic interactions between different energy sources. The flexibility of DHS can be utilized as a demand-side resource to support the operation of the power distribution network, showcasing the potential benefits of effective simulation in IES analysis.
Article
Engineering, Aerospace
Ahmad Ali Pohya, Jennifer Wehrspohn, Robert Meissner, Kai Wicke
Summary: Current practices in aeronautics rely on regression-based cost estimation methods, but these methods have limitations in temporal space and applicability. This paper introduces a generic environment named LYFE for economic and operational assessment of aircraft, utilizing discrete event simulation to model the product life cycle. The framework can be used to analyze physical products, operational procedures, maintenance strategies, and decision-making algorithms in terms of their impact on an aircraft or system's life cycle.
Review
Engineering, Industrial
Carlos Henrique dos Santos, Jose Arnaldo Barra Montevechi, Jose Antonio de Queiroz, Rafael de Carvalho Miranda, Fabiano Leal
Summary: The use of simulation as Digital Twin to support decision-making is a well-established research field, with integration of simulation with physical systems allowing virtual models to be aligned with the current state of processes. Even though the Digital Twin concept is relatively new, its principles have been used for decades in decision-making through simulation, with ongoing discussions and uncertainties regarding simulation models in this research field.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Health Care Sciences & Services
Marius Huguet, Marianne Sarazin, Lionel Perrier, Vincent Augusto
Summary: This study evaluates the use of teleconsultations (TCs) for specialist consultations at hospitals in terms of costs, resource consumption, and patient travel time. The results show that TCs have the potential to lead to a major organizational change in the healthcare system and could be a cost-saving strategy in some cases. However, the performance of TCs is strongly related to the context and deployment strategy involved.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Nuclear Science & Technology
Cade M. Bourque, Kevin T. Clarno, Benjamin D. Leibowicz
Summary: This paper explores how hiring requirements in the context of nuclear fuel manufacturing can be determined using the coupling of physics-based and discrete-event simulation technologies, aiming to meet production goals, comply with safety regulations, and reduce project costs.
ANNALS OF NUCLEAR ENERGY
(2022)
Article
Energy & Fuels
Artur Kierzkowski, Tomasz Kisiel, Piotr Uchronski, Andrija Vidovic
Summary: This article presents a novel model for the management of air cargo shipment screening that focuses on balancing process efficiency and energy consumption.
Correction
Automation & Control Systems
Philip E. Pare, Ji Liu, Carolyn L. Beck, Barrett E. Kirwan, Tamer Basar
Summary: This paper provides corrections to two typos and three misstatements in [1], mainly focusing on assumptions, corollaries, and theorems.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2021)
Article
Engineering, Industrial
Danielle Strong, Michael Kay, Thomas Wakefield, Issariya Sirichakwal, Brett Conner, Guha Manogharan
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2020)
Article
Materials Science, Textiles
Kristin A. Thoney, Iurii Sas, Jeffrey A. Joines, Russell E. King
JOURNAL OF THE TEXTILE INSTITUTE
(2020)
Article
Green & Sustainable Science & Technology
Mirco Peron, Giuseppe Fragapane, Fabio Sgarbossa, Michael Kay
Article
Engineering, Mechanical
Paul Lynch, Christie Hasbrouck, Joseph Wilck, Michael Kay, Guha Manogharan
RAPID PROTOTYPING JOURNAL
(2020)
Article
Engineering, Industrial
Margaret Hauser, Russell King, Richard Wysk, Ola Harrysson
Summary: The development of personalized medicine in orthopedics using additive manufacturing technology shows promising prospects. This approach can improve patient outcomes and reduce medical costs by producing customized implants.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Civil
Michael G. Kay, Kenan Karagul, Yusuf Sahin, Gurhan Gunduz
Summary: Companies prefer full truckload option for long-distance transport, while shipment consolidation provides a cost-effective solution by combining shipments into a single truckload.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Management
Sha Luo, S. Sebnem Ahiska, Shu-Cherng Fang, Russell E. King, Donald P. Warsing, Shuohao Wu
Summary: The study focuses on a single-product, periodic-review inventory system with fixed ordering cost. It presents a theoretical framework for optimal ordering policy in a finite-horizon setting, showing convergence of optimal cost and parameter values over time. Computational studies demonstrate that the two-supplier (s, S) ordering policy is optimal under a wide range of system parameters.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Engineering, Industrial
Ramin Ahmed, H. Sebastian Heese, Michael Kay
Summary: By considering the potential role of Additive Manufacturing (AM) in Traditional Manufacturing (TM) supply chains, the research addresses the major issues faced by TM, such as setting reactive strategies for demand uncertainties and optimizing buffering capacities. The study provides an analytical allocation rule based on cost differentials to offer optimal sourcing decisions and sheds light on how different problem characteristics affect the value and usage of AM in supply chain networks.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Russell J. Nelson, Jack Werner, Michael G. Kay, Russell E. King, Brandon M. McConnell, Kristin Thoney-Barletta
Summary: This paper proposes a model to allocate utility helicopters to geographically separated task forces in order to minimize total flight time and unsupported air movement missions. The allocation problem is divided into two stages: the first stage assigns helicopter teams to task forces, and the second stage models the US Army aviation air movement operations planning problem as a stochastic mixed integer linear program. A practical application using a heuristic method is employed to solve the second stage problem and generate an optimal allocation solution. This research provides evidence for the practical use of the proposed model in military decision-making and offers a novel formulation for military aviation asset allocation.
JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS
(2023)
Article
Engineering, Industrial
Sha Luo, Shu-Cherng Fang, Jiahua Zhang, Russell E. King
Summary: This paper examines a pricing game between two sellers targeting customers with bounded rationality. The study finds that the level of bounded rationality in buyers is a driving factor for price dispersion among sellers and may lead to higher payoffs for buyers. However, bounded rationality in buyers is detrimental to overall social welfare.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Multidisciplinary
Brandon M. McConnell, Thom J. Hodgson, Michael G. Kay, Russell E. King, Yunan Liu, Greg H. Parlier, Kristin Thoney-Barletta, James R. Wilson
Summary: The study introduces a tool for real-time risk assessment during capacity planning and performance analysis in military expeditionary operations, aiming to be integrated into the Military Logistics Network Planning System suite to address logistical challenges.
JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS
(2021)
Proceedings Paper
Engineering, Manufacturing
Kimberly S. Nagulpelli, Russell E. King, Donald Warsing
47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47)
(2019)
Article
Engineering, Manufacturing
Danielle Strong, Michael Kay, Brett Conner, Thomas Wakefield, Guha Manogharan
ADDITIVE MANUFACTURING
(2019)