Article
Automation & Control Systems
Bruno Vieira, Jesica de Armas, Helena Ramalhinho
Summary: With the increase in longevity, there is a growing elderly population in need of home health and social care. However, planning and synchronizing these services is a complex task, requiring consideration of various factors and objectives. To address this, automated planning systems have been developed to optimize routing and scheduling decisions for efficient and effective solutions.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Vincent Derkinderen, Jessa Bekker, Pieter Smet
Summary: Even though warehouses are becoming increasingly automated, the allocation of individual workers to specific tasks remains crucial for overall efficiency. This paper proposes a method using work profiles to assign tasks dynamically to workers based on their profile, while taking uncertainty of task durations into consideration. The proposed approach applies metaheuristic algorithm and discrete-event simulation to evaluate the quality of the assignment. The contributions of this paper include proposing a profile-assignment framework, studying trade-offs between run time and accuracy, and demonstrating the outperformance of the proposed method compared to solutions produced by a human expert.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
J. I. Guerrero, G. Miro-Amarante, A. Martin
Summary: The design of health care buildings is complex, involving a multitude of parameters and regulations that must be considered. The use of Case-Based Reasoning (CBR) and Reinforcement Learning can help analyze building design data, check regulations, and reduce the dependence on highly qualified personnel.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Sina Shahnejat-Bushehri, Reza Tavakkoli-Moghaddam, Mehdi Boronoos, Ahmad Ghasemkhani
Summary: This paper introduces a robust optimization model for home health care routing-scheduling problem with uncertain service and travel times, utilizing three meta-heuristic algorithms to solve the issue. Experimental results indicate that the memetic algorithm performs better for large-sized problems, demonstrating the advantage of using a robust model.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Review
Health Care Sciences & Services
Linda Lapp, Kieren Egan, Lisa McCann, Moira Mackenzie, Ann Wales, Roma Maguire
Summary: This article reviews the research on clinical decision support tools in long-term care facilities and finds that these tools have the potential to improve care delivery and health outcomes in areas such as medication management, pressure ulcer prevention, and dementia management. However, there is variability in results due to the diversity of tool types, users, and contexts, as well as limited validation.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Multidisciplinary Sciences
Wang-Chuan Juang, Ming-Hsia Hsu, Zheng-Xun Cai, Chia-Mei Chen
Summary: Holistic health care is essential for complete patient care, and an efficient clinical decision support system (CDSS) is crucial to support physicians' judgement. This study proposes an AI-assisted CDSS model using an improved recurrent neural network (RNN) to predict patients in need of holistic health care.
Article
Multidisciplinary Sciences
Luke Evans, Jennifer H. Acton, Carla Hiscott, Daniel Gartner
Summary: To address inefficient resource management and waiting lists for high-risk ophthalmology patients, a decision support tool was developed to determine an optimal patient schedule. The tool considers available booking slots and patient-specific factors, using a mathematical model formulated through operations research. The tool can provide feedback on patient scheduling and determine the optimal date and location for appointments, with a score reflecting the value of the decisions made. By inputting hospital-specific parameters, managers can apply the model to generate an optimized patient schedule without the need for additional software.
SCIENTIFIC REPORTS
(2023)
Article
Cardiac & Cardiovascular Systems
Yang Chen, Steve Harris, Yvonne Rogers, Tariq Ahmad, Folkert W. Asselbergs
Summary: We believe that the use of nudge theory as part of clinical decision support systems can help reduce the evidence-practice gap in healthcare. By testing nudges on all stakeholders, they can improve the implementation of known evidence and generate new insights in areas without a robust evidence base.
EUROPEAN HEART JOURNAL
(2022)
Article
Computer Science, Information Systems
Olga Kostopoulou, Christopher Tracey, Brendan C. Delaney
Summary: This study found that the use of a decision support system (DSS) significantly impacted data completeness and the type of information documented during consultations, with supported consultations containing more codes and less free text. The findings suggest that DSS can facilitate more comprehensive documentation of diagnosis-related data by physicians during consultations.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Computer Science, Artificial Intelligence
Marko Bohanec, Gennaro Tartarisco, Flavia Marino, Giovanni Pioggia, Paolo Emilio Puddu, Michele Salvatore Schiariti, Anneleen Baert, Sofie Pardaens, Els Clays, Aljosa Vodopija, Mitja Lustrek
Summary: Congestive heart failure is a chronic medical condition that affects about 2% of the adult population. The HeartMan Decision Support System (DSS) aims to support individual patients in following established clinical guidelines for disease management, using mobile phones, wristband sensors, and a web application. The system provides recommendations for managing physical health, psychological support, and environmental parameters, and has been successful in improving self-care behavior and reducing depression and anxiety levels in patients.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Health Care Sciences & Services
Junsang Yoo, Jeonghoon Lee, Ji Young Min, Sae Won Choi, Joon-Myoung Kwon, Insook Cho, Chiyeon Lim, Mi Young Choi, Won Chul Cha
Summary: This paper introduces a common data model-based intelligent algorithm network environment (CANE) platform that supports the implementation and deployment of a clinical decision support system (CDSS). Researchers developed eight algorithms that can be applied in the CDSS, such as screening patients prone to sepsis and predicting acute events and prognosis to aid physicians' decisions.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Engineering, Industrial
Hamza Bouzekri, Najat Bara, Guegun Alpan, Vincent Giard
Summary: This paper presents an integrated Decision Support System (DSS) for planning the operations of the fertilizer part in a phosphate supply chain. The proposed DSS aims to align production and storage decisions with vessel demands, ensuring consistency in decision-making and maximizing optimal solutions. The research provides academic contributions in lean supply chain management and offers an original approach for modeling time in the Storage Space Allocation Problem (SSAP).
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Mathematics
Filipe Alves, Lino A. Costa, Ana Maria A. C. Rocha, Ana I. Pereira, Paulo Leitao
Summary: The increase in life expectancy has resulted in a growing demand for Home Health Care (HHC) services. However, managing these services can be complex and time-consuming. This study aims to develop an automatic decision-support system for HHC that optimizes multiple objective functions simultaneously, such as travel costs and resource allocation. The multi-objective genetic algorithm, based on NSGA-II, is applied to a real-world HHC problem to identify different compromises between objectives and provide efficient solutions.
Article
Mathematics
Ajay Surendrarao Bhongade, Prakash Manohar Khodke, Ateekh Ur Rehman, Manoj Dattatray Nikam, Prathamesh Dattatray Patil, Pramod Suryavanshi
Summary: This study discusses rescheduling methods for manufacturing systems to address disruptions such as machine failure. The performance measure used is the deviation of the revised schedule's make-span from the original schedule. Three rescheduling methods are proposed, with right-shift rescheduling being the preferred method in most situations.
Article
Social Sciences, Interdisciplinary
Nicole D. Sintov, Kristin F. Hurst
Summary: Trust serves as a decision-making heuristic for assessing the risks of various technologies, particularly social trust and integrity. The role of integrity, but not competence, as a decision-making heuristic was supported in the experiments. The influence of integrity on risk perception was stronger when there were time pressures, but this effect diminished in a context characterized by greater experience.
JOURNAL OF RISK RESEARCH
(2023)
Article
Management
Mustapha Ouhimmou, Mikael Ronnqvist, Louis-Alexandre Lapointe
Summary: Integrating new products into an existing value chain network is crucial for companies to remain competitive in a rapidly evolving economy. Research shows that biorefineries have the potential to impact the existing forest industry economically, socially, and environmentally, but their viability is closely tied to government subsidies.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Franco Basso, Leonardo J. Basso, Mikael Ronnqvist, Andres Weintraub
Summary: This paper discusses a collaborative model in the transportation field, proposing a cooperative game theory different from traditional models. It also analyzes the challenges faced in forming alliances, including stability constraints and restrictions from antitrust authorities.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Forestry
Patrik Flisberg, Mikael Ronnqvist, Erik Willen, Mikael Frisk, Gustav Friberg
Summary: Research focuses on improving productivity in forest logging operations while reducing negative impact on soil and streams. A decision support system was developed to optimize primary extraction routes, leading to faster planning, shorter driving distances, and potential reduction in negative impact on soil and water.
CANADIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Forestry
Marc-Andre Carle, Sophie D'Amours, Riadh Azouzi, Mikael Ronnqvist
Summary: This study proposes a new model that integrates the Carbon Budget Model and wood supply model to predict changes in carbon stocks and greenhouse gas emissions under different forest management strategies.
Article
Management
Ali Rahimi, Mikael Ronnqvist, Luc LeBel, Jean-Francois Audy
Summary: Procurement operations in forest companies face various risks, such as contract unreliability and breach. Contracts are used in practice to ensure wood supply, but missed deliveries can lead to supply-demand mismatch and increased procurement costs. Management of sourcing risks is easier with flexible contracts despite their higher cost.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Forestry
Patrik Flisberg, Mikael Ronnqvist, Erik Willen, Victoria Forsmark, Aron Davidsson
Summary: This paper proposes a two-phase approach to identify the best landing locations and design transportation routes. The approach considers practical constraints and evaluates the potential impact of each zone using an optimization model, thus improving the efficiency of forest operations.
CANADIAN JOURNAL OF FOREST RESEARCH
(2022)
Review
Green & Sustainable Science & Technology
A. Mobtaker, M. Ouhimmou, J. -F. Audy, M. Ronnqvist
Summary: This review paper systematically surveyed the scientific literature surrounding research addressing the logistics planning problem at the mid-term tactical level in support of a sustainable forest bioeconomy. The surveyed papers were classified based on the markets they serve and whether more than one value chains are being planned simultaneously. The discussed research questions focused on common approaches used to tackle planning problems in each classification and highlighted current trends, gaps, and paths for further research and development.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Management
Mikael Ronnqvist, Mikael Frisk, Patrik Flisberg, Justin Casimir, Jonas Engstrom, Erik Hansson, Annika Kihlstedt
Summary: To maintain competitiveness in global markets, most countries are experiencing a decrease in the number of farms but an increase in farm size, resulting in fragmented farm areas. This expansion often leads to longer distances between the farm center and field areas, raising logistic costs and impacting profitability and the environment. However, collaboration between farmers is possible due to significant overlap between different farms. This study developed three optimization models to describe various levels of collaboration and sharing restrictions, considering practical factors like soil type and crops. Detailed information from a Swedish case study highlighted the significant potential for collaboration in reducing logistic costs, which directly correlates to a reduction in CO2 emissions.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Review
Engineering, Industrial
Elaheh Ghasemi, Nadia Lehoux, Mikael Ronnqvist
Summary: In a competitive environment, effective management of production and inventory decisions is critical to maintain an efficient and balanced flow of the supply chain system. Manufacturing companies across supply chains have recognized that inventories can be managed more effectively through increased collaboration and better coordination. This study reviews coordination, cooperation, and collaboration mechanisms in production-inventory studies and identifies research gaps and future directions for academics and practitioners.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Forestry
Rikard Jonsson, Mikael Ronnqvist, Patrik Flisberg, Petrus Jonsson, Ola Lindroos
Summary: Choosing technologies for forest operations and planning their use involves considering various factors, such as cost. This study analyzed and compared the potential of two different machine systems in final fellings using different model approaches. The results showed that both approaches were effective in reducing costs and optimizing machine system allocation.
INTERNATIONAL JOURNAL OF FOREST ENGINEERING
(2023)
Article
Forestry
Linnea J. Hansson, Victoria Forsmark, Patrik Flisberg, Mikael Ronnqvist, Anders Mork, Petrus Jonsson
Summary: This paper develops and tests a decision support tool for forwarder routing, which can generate appropriate trail networks based on harvester production data and plan routes according to loading sequences and pile organization requirements. The tool shows similar results to those achieved by skilled forwarder operators in actual applications.
CANADIAN JOURNAL OF FOREST RESEARCH
(2022)
Article
Forestry
Rikard Jonsson, Mikael Ronnqvist, Patrik Flisberg, Petrus Jonsson, Ola Lindroos
Summary: A Swedish study found that using a harwarder instead of the traditional TMS system for logging operations could reduce total costs by around 3%. However, to achieve this, more harwarders would need to be introduced and further technological development, especially automation, may be necessary.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Forestry
Saba Gazran, Tasseda Boukherroub, Mikael Ronnqvist, Marc Paquet
Summary: This study explores the impact of integrating truck platooning technology in forestry products supply networks and develops a Mixed Integer Linear Programming model to minimize overall transportation costs. The results show potential savings of combining the two types of trucks and the reduction in fuel consumption and number of drivers when using truck platooning and backhauling together.
CANADIAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Computer Science, Information Systems
Vanessa Simard, Mikael Ronnqvist, Luc Lebel, Nadia Lehoux
Summary: Every decision-making process is affected by uncertainty, especially in sectors like forestry where outcomes are difficult to control. Evaluating the accuracy of data used for decision-making is important to ensure validity and improve understanding and actions. A classification method comparing data to past quality levels is proposed to assess data quality and the associated level of uncertainty.
ACM JOURNAL OF DATA AND INFORMATION QUALITY
(2023)
Article
Computer Science, Interdisciplinary Applications
Vanessa Simard, Mikael Ronnqvist, Luc Lebel, Nadia Lehoux
Summary: The objective of this study is to evaluate the benefits of including coordination mechanisms in a forest supply chain to better face yield uncertainty. A stochastic program is developed to simulate a sawmill production planning decision process, and six coordination mechanisms are proposed to reduce the impact of uncertain wood supply. The results show that the Free Supply with Free Demand mechanism generates more stable plans with reduced transportation cost and the volume of extra resources needed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
