Article
Green & Sustainable Science & Technology
Malarvizhi Kaniappan Chinnathai, Bugra Alkan
Summary: Energy-intensive industries (EIIs), such as metal, glass, ceramics, paper, cement, and bulk chemicals, are associated with high carbon emissions and significant energy and material consumption. To improve their energy efficiency and align with UN sustainable development goals, digitalization and smart manufacturing concepts can be employed to identify areas of improvement and establish enablers. This research proposes a five-layer framework utilizing data acquisition, process management, simulation & modeling, artificial intelligence, and data visualization to identify and forecast energy consumption in EIIs. The findings show that this digital life-cycle framework supports sustainable smart manufacturing and enhances the understanding of process mining and simulation & modeling within EIIs.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Antonia Rahn, Kai Wicke, Gerko Wende
Summary: With growing environmental awareness and pressure on aviation, ecological impact assessments are becoming increasingly important. This paper presents a method using a combined discrete-event simulation framework to ecologically assess the life cycle phases of an aircraft, with a case study of an A320.
Article
Construction & Building Technology
Jaemin Jeong, Jaewook Jeong
Summary: This study conducted an economic assessment of a prefabricated system and found that compared to conventional systems, the prefabricated system can reduce environmental impact by up to 49.34% and is 25.29% cheaper. This result allows decision makers to easily and quantitatively evaluate and compare structural systems when considering environmental impact and economic assessment.
JOURNAL OF BUILDING ENGINEERING
(2023)
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.
Article
Green & Sustainable Science & Technology
Jan-Markus Roedger, Jan Beier, Malte Schoenemann, Christine Schulze, Sebastian Thiede, Niki Bey, Christoph Herrmann, Michael Z. Hauschild
Summary: The eco-efficiency of actual production processes is a dominant research area in engineering, with Life Cycle Assessment aiming at calculating the environmental impacts of product or system life cycles. By combining Life Cycle Assessment with manufacturing system simulation, the environmental sustainability of both product and production system can be assessed comprehensively. The importance of considering indirect peripheral equipment and its effects on manufacturing system operation is highlighted.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Balazs Csontos, Laszlo Halasz, Istvan Heckl
Summary: One of the tasks of an oil company is to transport products between sites based on a scheduling plan. This study presents improvements on a previous simulation model, allowing for flexible operations on products in the pipeline.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Balazs Csontos, Laszlo Halasz, Istvan Heckl
Summary: An oil company transports products through pipelines and uses delivery scheduling plans to determine the sequence of operations. Short-term and simple network plans can be manually validated, while long-term or complex network plans require simulation tools for validation.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Energy & Fuels
Angad Mann, Prateek Saxena, Mohamed Almanei, Okechukwu Okorie, Konstantinos Salonitis
Summary: The innovation and development of electrical and electronic equipment have led to a rise in waste. Sustainable IT, such as refurbishing discarded electronics, is an environmentally friendly method. A study comparing centralized and decentralized remanufacturing found that decentralized remanufacturing is more environmentally friendly and efficient. The environmental impact of the computer's previous lifecycle remains unknown, highlighting the need for multi life cycle assessment.
Article
Computer Science, Interdisciplinary Applications
Giovanni Lugaresi, Sofia Gangemi, Giulia Gazzoni, Andrea Matta
Summary: Digital twins are crucial in optimizing production systems and aiding decision making. Ensuring alignment between the physical system and the digital model, as well as validating the model in real-time with limited data, is essential. This study proposes a methodology for validating digital twins in production planning and control, measuring alignment using sequence data comparison techniques.
COMPUTERS IN INDUSTRY
(2023)
Article
Chemistry, Multidisciplinary
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: This research utilizes Discrete Event Simulation to design and evaluate a real manufacturing system in the copper industry, analyzing real production data and identifying the impact of individual parameters on the system response to select proper configurations for near-optimal outcomes.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Pawel Litwin, Dario Antonelli, Dorota Stadnicka
Summary: This article discusses the employment of disabled people in production processes and presents computer simulations as a means to support and facilitate their work organization and planning. It identifies the factors that need to be considered and discusses the impact of disabled employment on production line operation and company image.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Rachel Lacroix, Anna Timonina-Farkas, Ralf W. Seifert
Summary: Additive manufacturing (AM) is increasingly used for custom final part production, but printing speed and production volume are barriers for large-scale adoption. This paper proposes integrating AM with traditional mass customization (MC) technologies to address these challenges. The results demonstrate that combining AM with MC can benefit manufacturers in customer-centric strategies, leading to significant profit improvements.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jalal Possik, Anne Zouggar-Amrani, Bruno Vallespir, Gregory Zacharewicz
Summary: Lean implementation is crucial for optimizing productivity and reducing waste, and the study proposes simulation of specific industrial contexts to analyze the impact of implementing Lean Techniques. It was found that while Poka Yoke and 5S are context-free and applicable in any industrial setting, Pull, SMED, and Cross training require careful consideration in different contexts.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Interdisciplinary Applications
Emanuele Pagone, Yousef Haddad, Ludovico Barsotti, Gino Dini, Konstantinos Salonitis
Summary: This work presents a framework to assess the robustness of manufacturing systems, quantifying it by considering the variance of performance indicators. Key objectives are defined to guide exploration of the system's characteristics. Multiple simulation experiments are run and analyzed statistically, including financial implications. Tested with a case study, the framework proves its potential to improve robustness, identifying disruptive dispatching policies.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Interdisciplinary Applications
Izhar Oswaldo Escudero-Ornelas, Divya Tiwari, Michael Farnsworth, Ashutosh Tiwari
Summary: The manufacturing of electric motors is a complex process with deformable materials and wet processes. This paper proposes a computational framework to model process interdependencies involving copper wire in an electric motor manufacturing process. A Discrete Event Simulation model was developed to capture the behavior of the copper wire and identify key parameters influencing the occurrence of faults. The model successfully detected electrical and geometrical faults and calculated accumulated faults in the final product.
JOURNAL OF SIMULATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Moonsoo Shin, Hwaseop Lee, Kwangyeol Ryu, Yongju Cho, Young-Jun Son
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Agriculture, Multidisciplinary
Sara Masoud, Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell Tronstad
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2019)
Article
Computer Science, Information Systems
Seunghan Lee, Young-Jun Son
INFORMATION SCIENCES
(2020)
Article
Otorhinolaryngology
John P. Richards, Aaron J. Done, Samuel R. Barber, Saurabh Jain, Young-Jun Son, Eugene H. Chang
INTERNATIONAL FORUM OF ALLERGY & RHINOLOGY
(2020)
Article
Otorhinolaryngology
Samuel R. Barber, Saurabh Jain, Michael A. Mooney, Kaith K. Almefty, Michael T. Lawton, Young-Jun Son, Shawn M. Stevens
OTOLARYNGOLOGY-HEAD AND NECK SURGERY
(2020)
Article
Clinical Neurology
Samuel R. Barber, Saurabh Jain, Young-Jun Son, Kaith Almefty, Michael T. Lawton, Shawn M. Stevens
Summary: This study introduces a VR application that allows trainees to interact with 3D anatomic models corresponding to stereoscopic surgical videos. The VR environment enables users to view stereoscopic video and manipulate interactive models, which may significantly aid lateral skull base trainees in learning complex surgical environments. Future studies will further validate this methodology.
JOURNAL OF NEUROLOGICAL SURGERY PART B-SKULL BASE
(2021)
Article
Computer Science, Interdisciplinary Applications
Sara Masoud, Sojung Kim, Young-Jun Son
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Computer Science, Interdisciplinary Applications
Seunghan Lee, Saurabh Jain, Keeli Ginsbach, Young-Jun Son
Summary: The study introduces a dynamic data-driven model to track individuals' preference values over time and proposes agent-based simulation to model effective disaster management strategies. It also analyzes the quantitative relationships among people's evacuations, demographic information, and risk perception based on environmental changes, and conducts what-if analyses during hurricanes to prepare for future disaster situations.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Public, Environmental & Occupational Health
Amanda M. Wilson, Nathan Aviles, James Petrie, Paloma Beamer, Zsombor Szabo, Michelle Xie, Janet McIllece, Yijie Chen, Young-Jun Son, Sameer Halai, Tina White, Kacey C. Ernst, Joanna Masel
Summary: Early Bluetooth-based exposure notification apps rely on three binary classifications to recommend quarantine, but the reliability of Bluetooth attenuation as a measure of distance is debated. Factors such as uncertainty in exhaled virus-containing plume and inhalation parameters, as well as timing and infectiousness estimation play a crucial role in assessing infection risk. Public health authorities have the flexibility to set thresholds based on initial infection risk or conditional probability of infectiousness for determining quarantine protocols.
Article
Automation & Control Systems
Yifei Yuan, Young-Jun Son, Jian Liu
Summary: This article proposes a new crowd dynamics modeling approach that aggregates multiresolution information from UAVs and UGVs. It uses a Bayesian inference framework and specific probability distributions to model crowd dynamics from different resolution observations. A real-time model updating mechanism is developed to implement information aggregation for onboard crowd dynamics inference.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Agriculture, Multidisciplinary
Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell Tronstad
Summary: A novel framework for workflow analysis based on a real-time indoor location tracking system utilizing Ultra-Wide Band technology is proposed. It is applied to identify worker and task associations in the labor-intensive horticultural plant production process and automatically calculates key workflow metrics.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Automation & Control Systems
Md Tariqul Islam, Saurabh Jain, Yijie Chen, Bijoy Dripta Barua Chowdhury, Young-Jun Son
Summary: The article proposes an agent-based simulation model to evaluate contact risks in indoor activities during a pandemic, focusing on indoor seating allocation and traffic movement issues. The suggested seating policy and zonal exit policy can effectively reduce contact risks, helping organizational policymakers assess different policies for safe operation under pandemic situations.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Bijoy Dripta Barua Chowdhury, Sara Masoud, Young-Jun Son, Chieri Kubota, Russell Tronstad
Summary: An indoor real-time location tracking system using ultra-high frequency passive radio frequency identification technology is proposed in this paper. The system combines static localization with dynamic tracking, developing a dynamic k nearest neighbor driven hidden Markov model to track moving objects. Regression models are iteratively updated over time to relate the tags' received signal strength indicator and distance, generating a fingerprint database for estimating potential locations of tagged objects. The system's performance is evaluated through experiments showing an average tracking error as low as 0.36m.
IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION
(2022)
Proceedings Paper
Agronomy
S. Masoud, C. Meng, B. Chowdhury, Y-J Son, C. Kubota, R. Tronstad
Summary: In today's competitive market, continuous improvement of resource efficiency is crucial for production facilities to survive. The online tool GRANDES helps users optimize resource allocation and reduce production costs to enhance their competitiveness.
II INTERNATIONAL SYMPOSIUM ON VEGETABLE GRAFTING
(2021)
Article
Computer Science, Information Systems
Bijoy Dripta Barua Chowdhury, Sara Masoud, Young-Jun Son, Chieri Kubota, Russell Tronstad
INTERNATIONAL JOURNAL OF SENSOR NETWORKS
(2020)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)