Article
Agriculture, Dairy & Animal Science
Shin-Ja Lee, Geun-Hyeon Kim, Yea-Hwang Moon, Sung-Sill Lee
Summary: This study analyzed recent trends in animal-assisted therapy (AAT) research by using data-mining techniques. The results showed that AAT research is conducted in various disciplines and most studies are experimental in nature. The study found that dogs are the most commonly used animals in AAT, and individuals with autism spectrum disorder and post-traumatic stress disorder are the primary research participants. Additionally, the study showed that AAT has a positive impact on improving blood pressure and enhancing heart rate.
Review
Industrial Relations & Labor
Katarzyna Piwowar-Sulej, Slawomir Wawak, Malgorzata Tyranska, Malgorzata Zakrzewska, Szymon Jarosz, Mariusz Soltysik
Summary: This study aims to analyze HRM journals to identify trends in HRM research. It uses a modern methodology to gather and synthesize HRM research topics and suggests further research directions. The study's limitations include analyzing only articles indexed in certain databases and narrowing down the research area.
INTERNATIONAL JOURNAL OF MANPOWER
(2023)
Article
Computer Science, Information Systems
Ahmet Ayaz, Ozcan Ozyurt, Waleed Mugahed Al-Rahmi, Said A. Salloum, Anna Shutaleva, Fahad Alblehai, Mohammed Habes
Summary: This study analyzed research patterns and trends within the gamification domain using topic modeling. The findings identified thirteen distinct topics, with health training, enhancing learning with technology, and game design framework being the most prominent.
Article
Education & Educational Research
Fatih Gurcan, Nergiz Ercil Cagiltay
Summary: This study reveals the research themes and trends in distance learning by analyzing journal articles conducted in the last decade. The study found 10 main themes including system establishment, media, assessment, method, content, education levels, learner, research methods, interaction-communication, and resource-material-tool.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Agriculture, Dairy & Animal Science
A. Zuliani, B. Contiero, M. K. Schneider, G. Arsenos, A. Bernues, P. Dovc, M. Gauly, O. Holand, B. Martin, C. Morgan-Davies, W. Zollitsch, G. Cozzi
Summary: This study utilized text mining and topic modeling analysis to depict the main research topics and trends in mountain livestock farming (MLF) over the last four decades, revealing a continuous increase in scientific outputs and a focus on topics such as livestock management, animal health, and production system sustainability.
Article
Computer Science, Software Engineering
George Mathew, Amritanshu Agrawal, Tim Menzies
Summary: Text mining methods can discover large-scale trends within research communities. This study, using stable Latent Dirichlet Allocation, identified 10 major research topics and tracked their changes over the past 25 years in 35,391 software engineering papers. It also revealed the potential negative impact of focusing too much on a single topic and the under-representation of women in highly cited papers. Additionally, the study highlighted an unreported dichotomy between software conferences and journals, suggesting different levels of success for research topics in each.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2023)
Article
Education & Educational Research
Fatih Gurcan, Fatih Erdogdu, Nergiz Ercil Cagiltay, Kursat Cagiltay
Summary: Student engagement is crucial for successful learning outcomes, but research on its trends and themes is limited. This study used topic modeling to analyze student engagement research and identified two new dimensions: Community Engagement and School Engagement. The findings suggest that future research and applications will focus on motivation-oriented tools and methods, dimensions of student engagement, and specific learning contexts.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Cell Biology
Willa Wen-You Yim, Yoshitaka Kurikawa, Noboru Mizushima
Summary: Since the 1950s, the field of autophagy research has experienced exponential growth in publications, providing a wealth of information for researchers but also posing challenges for newcomers. The publication trend in the autophagy field can be separated into three phases, with the recent rapid increase likely driven by highly cited research papers from previous phases, leading to a wider variety of research topics, especially those related to diseases and modulating autophagy.
Article
Computer Science, Artificial Intelligence
Yue Qiu, Zhewei Song, Zhensong Chen
Summary: This study develops a new sentiment index to predict stock trends by considering weighted textual contents and financial anomalies. The experimental results show that the modified sentiment index can effectively improve the prediction ability of stock trends.
Article
Economics
Xiwen Bai, Xiunian Zhang, Kevin X. Li, Yaoming Zhou, Kum Fai Yuen
Summary: Maritime transport is crucial for global trade and has seen a shift in research focus from regulatory aspects to efficiency, integration, and sustainability. The use of a structural topic model has helped identify key research themes and trends in the maritime literature, aiding researchers, funding groups, and policymakers in making informed decisions.
Review
Engineering, Industrial
Siti Noraishah Ismail, Azizan Ramli, Hanida Abdul Aziz
Summary: This systematic review investigates the research trends in mining accidents through 57 studies from 2015 to 2019. The main causes of mining accidents, prevention methods, challenges, and post-accident impacts were identified as key themes. Mechanical failure was found to be the main cause of accidents, and the use of software or safety models is crucial for accident reduction. Mine owners face challenges in providing a safe working environment, and post-accidents have negative impacts on the environment.
Review
Construction & Building Technology
Seungwon Baek, Wooyong Jung, Seung H. Han
Summary: This paper reviews the current state and future insights of text analytics in the construction industry, pointing out the diverse sources of text data and the dominance of ontology- and rule-based approaches, with recent attempts to incorporate machine learning methods. It envisions potential advancements in construction engineering and management through the latest text analysis techniques fueled by digital transformation.
AUTOMATION IN CONSTRUCTION
(2021)
Review
Computer Science, Artificial Intelligence
Gyunam Park, Minsu Cho, Jiyoon Lee
Summary: This article provides an in-depth analysis of process mining using text mining and machine learning techniques, including main research fields, relationships between fields, and future development trends.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Ming Zhang, Jiahao Yang, Meilin Wan, Xuejun Zhang, Jun Zhou
Summary: Research reports have significant impacts on the stock market by shaping investors' perceptions, but their effective utilization is still challenging due to text mining limitations. This study introduces a knowledge-driven approach for long-term stock movement prediction based on Chinese research reports. By fusing textual features and basic information, the proposed method achieves better forecasting performance than existing methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Computer Science, Artificial Intelligence
Shazia Usmani, Jawwad A. Shamsi
Summary: Stock market prediction is a challenging task that requires deep insights for extraction of news events, analysis of historic data, and impact of news events on stock price trends. This paper presents a detailed survey covering key terms and phases of generic stock prediction methodology, challenges, data preprocessing techniques, feature extraction techniques, prediction techniques, and future directions for news sensitive stock prediction. The significance of using structured text features, opinion extraction techniques, domain knowledge, and deep neural network based prediction techniques is highlighted.
PEERJ COMPUTER SCIENCE
(2021)
Article
Management
Mahyar Eftekhar, Jing-Sheng Jeannette Song, Scott Webster
Summary: In the aftermath of a disaster, the immediate period is crucial for humanitarian organizations to provide relief items. Supply management is a significant challenge due to uncertainties and decisions are often made intuitively. This study examines features and complexities not previously studied in literature, proposing optimal solution methods and discussing the value of emergency funds.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Management
Jing-Sheng Song, Li Xiao, Hanqin Zhang, Paul Zipkin
Summary: We study a complex inventory system with multiple supply sources and dynamic expediting options. By developing smart ordering and expediting policies that utilize real-time supply information, we identify two special cases with simple solutions, Policy-M and Policy-E. These policies balance sourcing flexibility with dynamic expediting decisions to optimize performance measures in the system.
OPERATIONS RESEARCH
(2022)
Article
Management
Ipek Dursun, Alp Akcay, Geert-Jan Van Houtum
Summary: The study focuses on applying an age-based replacement policy in a system with a finite lifespan to preventively replace a critical component before failure. It considers the decision maker's belief on the existence of a weak population and builds an optimal policy that balances the trade-off between cost and learning the true population type.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Lu Huang, Jing-Sheng Song, Robert Swinney
Summary: This study examines social responsibility in a three-tier supply chain and investigates the impact of external stakeholders on the optimal level of responsibility. The results indicate that the buyer's optimal strategy can be direct control, delegation, or no effort, depending on certain conditions. Additionally, the study finds that increasing certain types of external pressure may have a negative effect on responsibility levels.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Management
Jennifer K. Ryan, Lusheng Shao, Daewon Sun
Summary: This article examines profit allocation for a sourcing network, proposing a contract mechanism for long-term stability and motivation of members. Using game theory and cooperative game models, relevant results are obtained for achieving a stable network in a competitive setting.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Management
N. Bora Keskin, Yuexing Li, Jing-Sheng Song
Summary: This study examines the challenges faced by retailers selling perishable products, including uncertainty in demand-price relationship, demand noise distribution, inventory perishability rate, and changes in demand-price relationship over time. To address these challenges, two data-driven pricing and ordering policies are designed, and their performance is evaluated using regret. The empirical results show that the proposed policies outperform historical decisions, and parameter regimes for quantifying the relative significance of changing environment and product perishability are characterized.
MANAGEMENT SCIENCE
(2022)
Article
Management
S. Voorberg, W. van Jaarsveld, R. Eshuis, G. J. van Houtum
Summary: Component maintenance, repair and overhaul are conducted under long-term service agreements. Service providers need to make accurate estimations of contract values to win contracts and make profits. Therefore, collecting attributes from multiple sources to improve knowledge about specific contracts is crucial. This paper introduces a model for optimal information acquisition and a specific model refinement for quotation optimization. Three heuristic policies with different levels of dynamism are proposed. Fixing the order in which attributes are retrieved has a small impact on profit, while fixing the number of attributes has worse consequences.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Editorial Material
Operations Research & Management Science
Frank P. A. Coolen, Tahani Coolen-Maturi, Geert-Jan van Houtum
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
(2023)
Article
Engineering, Industrial
Ipek Dursun, Alp Akcay, Geert-Jan Van Houtum
Summary: This study considers multiple single-component systems with a known finite lifespan and investigates the optimal replacement policy to minimize cost. Expert opinions are used to estimate the component lifetime distribution, while uncertainty regarding population heterogeneity is resolved through data pooling. Numerical experiments demonstrate significant cost reduction through data pooling.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Engineering, Industrial
Halit Metehan Dilaver, Alp Akcay, Geert-Jan van Houtum
Summary: In the maritime industry, obligatory inspections and maintenance operations on moving assets are conducted based on calendar time and usage-based deterioration respectively. Synchronizing these operations to avoid unnecessary dry-dockings is a common approach, but determining the optimal timing and synchronization remains a crucial question. This real-life problem is formulated as a mixed integer linear programming model, which demonstrates that integrated planning can save up to 28.5% of the total cost.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Management
Erhun Ozkan, Geert-Jan van Houtum
Summary: This study focuses on the inventory and repair scheduling decisions of a maintenance service provider for repairable capital goods. The objective is to minimize the long-run average inventory holding, back-order, and emergency repair costs. The study formulates the repairable network as a closed queueing system and solves a Brownian control problem to derive an optimal decision rule.
OPERATIONS RESEARCH
(2023)
Article
Business
Fiona Sloothaak, Alp Akcay, Geert-Jan van Houtum, Matthieu van der Heijden
Summary: In this study, we propose a continuous-time model to optimize the upgrade decisions of a system during the fixed lifetime of the asset. The model considers important factors such as increasing functionality requirements, age-dependent maintenance costs, a predetermined overhaul plan, and the lifetime of the asset. We analyze the optimal upgrade policy under different cost functions and propose a dynamic programming approach for cases with penalties for upgrading outside an overhaul. Surprisingly, more overhauls may lead to a smaller number of upgrades under the optimal policy.
Article
Operations Research & Management Science
Joni Driessen, Joost de Kruijff, Joachim Arts, Geert-Jan van Houtum
Summary: This article investigates the design problem of line replaceable units (LRUs) and proposes two solving methods using set partitioning and binary linear programming. It considers the costs of replacement, downtime, and purchase/repair, and examines the effects of parameters on the model's outcome.
NAVAL RESEARCH LOGISTICS
(2023)
Article
Engineering, Industrial
Ragnar Eggertsson, Rob Basten, Geert-Jan van Houtum
Summary: This study focuses on the inspection and maintenance planning of capital goods, taking into account the imprecise observations and their dependence on the environment. Through the example of HVAC maintenance on trains, it is demonstrated that an environment-dependent policy can lead to cost savings.
Proceedings Paper
Computer Science, Theory & Methods
Joan Stip, Lois Aerts, Geert-Jan van Houtum
Summary: To minimize costs and meet service level agreements, Original Equipment Manufacturers (OEMs) use spare parts planning models to determine optimal base stock levels at their warehouses. However, there is often a deviation between the expected and realized performance of these optimized stock levels. In order to evaluate this performance and identify root causes for the gap, a digital twin has been developed. This digital twin has helped one semiconductor industry OEM, ASML, create a feedback loop to learn from past results and close the gap between expected and realized performance.
2022 WINTER SIMULATION CONFERENCE (WSC)
(2022)
