Article
Economics
Afshin Kamyabniya, Zohre Noormohammadzadeh, Antoine Saure, Jonathan Patrick
Summary: This paper proposes a fully integrated logistics network for sharing multi-type platelets in disaster relief operations, considering suitability for different types of injuries and the age of platelets. By using Lagrangian relaxation and the augmented epsilon-constraint method, the model efficiently solves the problem and generates a Pareto front for large-scale instances and multiple scenarios.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Operations Research & Management Science
Fatemeh Faghih-Mohammadi, Mohammad Mahdi Nasiri, Dincer Konur
Summary: In an emergency logistics operation, quick delivery and fair distribution of relief items are crucial. Direct shipments from suppliers to affected areas may be challenging due to truck scarcity and underutilization. Warehouses or cross-docks can help overcome these challenges. This research incorporates opportunistic cross-docking into emergency logistics operations to improve the efficiency of relief item delivery.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Amjad Hussain, Tariq Masood, Haris Munir, Muhammad Salman Habib, Muhammad Umar Farooq
Summary: This research investigates the use of lean transformation approach for achieving resilience in disaster relief operations (DROs) and proves its effectiveness through a case study of industrial fire. Lean tools can help devise pragmatic strategies to improve coordination, communication, capacity building, and awareness for enhanced responsiveness in DROs.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Multidisciplinary
Mehrdad Gharib, Seyyed Mohammad Taghi Fatemi Ghomi, Fariborz Jolai
Summary: This article introduces a deterministic model for post-disaster situations in urban emergency medical services systems, and applies it to a real-life case study of an expected earthquake in Iran. The study utilizes deterministic models, metaheuristic algorithms, and evaluates the performance of algorithms such as NSGA-II and MOICA in solving large-scale problems. Insights for management are extracted from the application of the model in the case study.
ENGINEERING OPTIMIZATION
(2021)
Article
Computer Science, Artificial Intelligence
Vijay Lahri, Krishnendu Shaw, Alessio Ishizaka
Summary: This paper introduces a two-stage multi-objective supply chain network design model that optimizes economic, environmental, and social sustainability goals by incorporating green image factors of suppliers. The model utilizes a combined possibilistic programming and epsilon constraint method to generate various Pareto-optimal solutions, aiding decision-making in uncertain environments.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Operations Research & Management Science
Yanbin Chang, Yongjia Song, Burak Eksioglu
Summary: The paper proposes a novel stochastic look-ahead framework that implements a two-stage stochastic programming model in a rolling horizon approach to address the evolving uncertain logistics system state during post-hurricane humanitarian logistics operations. The model aims to minimize the total cost incurred in logistics operations, including transportation cost and social cost. Extensive numerical results and sensitivity analysis demonstrate the effectiveness of the proposed approach in reducing total cost incurred during post-hurricane relief logistics operations compared to a static implementation of a two-stage stochastic programming model.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Sina Nayeri, Reza Tavakkoli-Moghaddam, Zeinab Sazvar, Jafar Heydari
Summary: This study proposes a mixed-integer programming model to allocate and schedule rescue teams in a response phase of disaster management under uncertainty. The developed heuristic-based simulated annealing algorithm is used to solve the NP-hard problem efficiently. The sensitivity analysis on crucial parameters of the model is reported for further insights.
Article
Geosciences, Multidisciplinary
Shahrooz Shahparvari, Behrooz Bodaghi, Iman Roozbeh, Mahsa Mohammadi, Hamed Soleimani, Prem Chhetri
Summary: This paper introduces a bushfire suppression optimization model to minimize completion times and total costs within resource constraints, improving resource utilization efficiency in emergency situations. Through a real case study and three scenarios designed, the model provides solutions for resource shortage and time limitations.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Business
Deepshikha Sarma, Amrit Das, Pankaj Dutta, Uttam Kumar Bera
Summary: In the event of a sudden disaster, local agencies need to act quickly to coordinate resource distribution and minimize damage. This article introduces the concept of priority measure for demands and evaluates the ranking of affected areas based on resource requirement. A three-echelon emergency solid transportation problem model is proposed to address the resource allocation challenges.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Chemistry, Multidisciplinary
Zhiying Wu, Qingxin Chen, Ning Mao, Guoning Xu, Arkadiusz Gola
Summary: In this paper, we propose a deterministic shift design model with task-based demand and provide a corresponding stochastic version with a probability constraint. Due to the lack of suitable methods, we developed a statistics-based single-stage heuristic method and a two-stage heuristic approach to solve the model. The experimental results demonstrate the effectiveness of both heuristics in solving the stochastic model, with the two-stage heuristic outperforming the one-stage heuristic in cost optimization and solution time stability.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Behnam Vahdani
Summary: This study offers an integrated, flexible action plan for managing debris clearance and relief items distribution in disaster response. A new bi-objective mathematical model is proposed to minimize total cost and operation time. A data-driven methodology is introduced to estimate reliable travel time and tackle uncertainty. The results show that considering flexibility in network design and delivery date reduces total costs and operation time by 7% and 6% respectively.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Theory & Methods
Lorenzo Campioni, Filippo Poltronieri, Cesare Stefanelli, Niranjan Suri, Mauro Tortonesi, Konrad Wrona
Summary: In order to effectively address the challenges of supporting emergency responders in highly-populated urban areas, this paper proposes a smart city middleware solution called Aceso, which provides a range of functions for Humanitarian Assistance and Disaster Relief (HADR) operations. The capabilities of Aceso were validated through a fictional scenario involving multiple responder teams with different roles, demonstrating its usefulness in prioritizing critical information and enabling information sharing among HADR teams.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Economics
Jianfang Shao, Changyong Liang, Yujia Liu, Jian Xu, Shuping Zhao
Summary: The paper proposes a demand prediction method called intuitionistic fuzzy case-based reasoning (IFCBR) for relief material requirements, which combines the advantages of intuitionistic fuzzy theory and case-based reasoning. Similarity calculation methods and a new weight calculation method are also introduced. The validity of the method is verified through a case study and empirical evaluation experiment, providing decision support for relief material requirements and a basis for resource allocation.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Economics
Lipika Shaw, Soumen Kumar Das, Sankar Kumar Roy
Summary: This study proposes a mathematical model related to resource management for efficiently distributing resources to the affected areas during disasters. The model considers multiple optimization objectives and employs neutrosophic compromise programming to handle uncertainties. The effectiveness of the model is validated through comparisons with other methods. Numerical examples and sensitivity analysis are provided to support the feasibility of the model.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Engineering, Manufacturing
Charles J. Corbett, Alfonso J. Pedraza-Martinez, Luk N. Van Wassenhove
Summary: The paper summarizes a workshop held at INSEAD in 2019 on how to make humanitarian relief more sustainable. Five areas were discussed in detail: material convergence, coordination between humanitarian organizations, logistics, partnerships with industry, and health. The discussions showed the potential of better integrating sustainability with humanitarian operations despite the tension between immediate relief and long-term sustainability.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Management
Sungbum Jun, Seokcheon Lee, Yuehwern Yih
Summary: This paper explores the application of autonomous mobile robots in manufacturing environments to address the pickup and delivery problem. It proposes two efficient heuristic algorithms and develops a memetic algorithm that integrates a genetic algorithm. Simulation experiments show that the proposed algorithms outperform other methods in terms of average total tardiness and relative deviation index.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Civil
Mohammad Siami, Mohsen Naderpour, Jie Lu
Summary: Mobile telematics is a new innovation that collects driving behavior data using smartphone sensors instead of in-vehicle recorders. Data without labels makes it difficult to extract patterns, requiring unsupervised learning algorithms. Research often uses non-real-world datasets, highlighting the need for advancements in unsupervised techniques and real-world data analysis.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Environmental
Sidi Deng, Xiaoyu Zhou, Aihua Huang, Yuehwern Yih, John W. Sutherland
Summary: This study proposes an empirical model integrating machine learning and the Sherwood principle to assess the economic feasibility of product recycling, quantifying and visualizing the boundary between profitable and non-profitable end-of-life products for material recycling. It is envisioned that this method can be adopted in other circular economy domains for better decision-making.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Computer Science, Information Systems
Kourosh Parsa, Maureen Hassall, Mohsen Naderpour
Summary: Investigations have shown that flaws in alarm management systems are a major contributing factor to process accidents. Limited methods are available to evaluate alarm system design and promote operators' situation awareness and correct decision-making. The research aims to develop a means to rationalize defined alarms through causal modeling and graph analytics to improve operator responses during abnormal operating situations.
IEEE SYSTEMS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Sidi Deng, Denis Prodius, Ikenna C. Nlebedim, Aihua Huang, Yuehwern Yih, John W. Sutherland
Summary: Rare Earth Elements (REEs) are crucial for sustainable energy technologies, but most Techno-economic Assessments (TEAs) do not take into account their price volatility. A dynamic price model is proposed to address this issue, adjusting REE prices based on supply-demand conditions and showing significant differences in economic performance metrics compared to traditional TEAs.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Health Care Sciences & Services
Tsan-Hua Tung, Poching DeLaurentis, Jeffrey A. Sinner, Matthew C. Scanlon, Yuehwern Yih
Summary: The study identified deficiencies in workflow and information flow in vancomycin treatment processes. Safety gaps in EHR could potentially impact the accuracy of therapeutic decisions. Improvements in the EHR system may enhance the effectiveness of antibiotic treatment.
JOURNAL OF MEDICAL SYSTEMS
(2021)
Article
Computer Science, Information Systems
Kourosh Parsa, Maureen Hassall, Mohsen Naderpour
Summary: Despite improvements in control and safety systems, incidents and accidents still occur in the industry. Research shows that rationalization and accurate prioritization of alarms can improve alarm systems and operator decision-making. This paper discusses gaps in alarm prioritization approaches and proposes a method based on Graph theory and metrics to improve the process.
Article
Engineering, Industrial
Sidi Deng, Edwin Kpodzro, Thomas Maani, Zhongtian Li, Aihua Huang, Yuehwern Yih, Fu Zhao, John W. Sutherland
Summary: The fast-growing market for electric vehicles is heavily reliant on critical materials, such as rare earth elements and lithium, which are subject to supply chain risk. This study develops a simulation framework for an electric vehicle renewal system that focuses on extracting maximum value from end-of-life components and materials. The results indicate the technical viability and promising economic potential of the system.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Dawei Wang, Deanna R. Willis, Yuehwern Yih
Summary: This study evaluated and compared the prediction performance of nine classic machine learning classifiers with PSI on a large dataset of adult patient records. Machine learning classifiers, such as Random Forest, showed a significant improvement in prediction performance compared to PSI, as measured by ROC AUC and PR AUC.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Medical Informatics
Dawei Wang, Rhoann Kerh, Sungbum Jun, Seokcheon Lee, Roy William Mayega, Julius Ssentongo, Andualem Oumer, Md Haque, Priyanka Brunese, Yuehwern Yih
Summary: This study used an integrated approach and the E+TRA Health platform to track and manage medical commodities in healthcare facilities in Uganda, aiming to improve the supply chains for maternal and child health. By real-time monitoring and decision-making, this system helps reduce preparation time for orders, decrease stockout and overstock cases, and improve patient outcomes.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2022)
Article
Medical Informatics
Tsan-Hua Tung, Poching DeLaurentis, Yuehwern Yih
Summary: This study analyzed the discrepancies in infusion start time, completion time, and interruptions between electronic health records (EHRs) and pump event logs. The results showed significant differences in timing, which may have an impact on the accuracy of therapeutic decisions. Therefore, further investigation and improvement efforts are necessary to address the prevalence of this problem in different hospitals.
APPLIED CLINICAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Rinta Kridalukmana, Haiyan Lu, Mohsen Naderpour
Summary: A critical challenge in human-autonomy teaming is for human players to comprehend their nonhuman teammates. This article proposes a new method exploiting the agent's artificial situation awareness states for generating explanations, which has been evaluated in a collaborative driving context.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2022)
Review
Computer Science, Theory & Methods
Mohammad Mainul Islam, Fahimeh Ramezani, Hai Yan Lu, Mohsen Naderpour
Summary: This study systematically reviews existing research on optimal fog application placement over the cloud-to-thing continuum, analyzing the layers considered, application characteristics, placement mechanism, and tools and technology. It categorizes the research problems associated with fog application placement and suggests directions for future research on adaptive fog-application placement.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2023)
Article
Engineering, Environmental
Sidi Deng, Zhongqing Xiao, Wencai Zhang, Aaron Noble, Subodh Das, Yuehwern Yih, John W. Sutherland
Summary: This study proposes and evaluates a novel process called gas-assisted microflow extraction (GAME) for efficiently recovering precious metals from waste printed circuit boards (WPCBs). An economic analysis is conducted to verify the feasibility of the GAME-based process at an industrial scale, and cost-effective production strategies are further investigated. This study may establish a paradigm for economically-informed decisions in sustainable technologies.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Substance Abuse
Sukhada S. Joshi, Nicole Adams, Yuehwern Yih, Paul M. Griffin
Summary: Analyzing Indiana Medicaid claims data revealed a decrease in doctor shopping among pregnant women enrolled in Medicaid after the passage of a specific law, suggesting the importance of involving a broad set of healthcare professionals in addressing this issue.
SUBSTANCE ABUSE TREATMENT PREVENTION AND POLICY
(2021)
