Article
Management
Firouzeh Taghikhah, Alexey Voinov, Nagesh Shukla, Tatiana Filatova, Mikhail Anufriev
Summary: The study explores the interaction between consumer preferences and socio-environmental issues in agriculture and food production. An integrated approach combining agent-based, discrete-event, and system dynamics modeling is proposed to foster organic farming.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Pradeep Kumar Tarei, Jitesh J. Thakkar, Barnali Nag
Summary: This study aims to develop a DSS to assist SC risk managers in selecting appropriate RM strategies, revealing three primary underlying factors between the risk mitigation strategies, namely SC managers' preparedness, organization's resource capability, and the sophistication of RM enablers' implementation. The research demonstrates the efficacy of using the DSS with two conjectural scenarios for the Indian petroleum SC, recommending effective RM strategies such as risk mitigation and risk sharing.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Article
Chemistry, Multidisciplinary
Heidi Taboada, Yasser A. Davizon, Jose F. Espiritu, Jaime Sanchez-Leal
Summary: This study utilizes a system dynamics model and ordinary differential equations to analyze and control dynamic supply chains, aiming to reduce inventory, maximize profits, and minimize costs. The relationship between production rate and inventory levels in the supply chain is described using a model based on the mixing problem. Stability and sensitivity analysis are conducted to understand the effects of parameter variations on the supply chain.
APPLIED SCIENCES-BASEL
(2022)
Article
Information Science & Library Science
D. Asamoah, B. Agyei-Owusu, F. K. Andoh-Baidoo, E. Ayaburi
Summary: This study examines how the use of IOS affects an organization's supply chain management capabilities and performance, analyzing two mechanisms essential for improved supply chain performance based on the resource-based view theory. The results confirm all hypotheses and demonstrate the dual effect of IOS use in enhancing operational supply chain performance and SCM capabilities.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Mohit Goswami, Yash Daultani, Arijit De
Summary: Successful new product development projects require early inclusion of supply chain inputs to proactively identify risk averse design concepts. An analytical framework is devised to converge upon product design concepts associated with lesser supply chain risks. Validation of the method demonstrates consistency and reliability, highlighting an important future research pathway for decision-making frameworks focused on risk propagation analysis on complex networks.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Naimur Rahman Chowdhury, Mushaer Ahmed, Priom Mahmud, Sanjoy Kumar Paul, Sharmine Akther Liza
Summary: This study develops a vaccine supply chain (VSC) to ensure sustainable distribution during a global crisis in a developing economy. The model considers multiple objectives, including minimizing cost, GHG emissions, and maximizing job opportunities. Two metaheuristics are used to solve the model, and the TOPSIS model is integrated to prioritize environmental sustainability. The results show that the MOSEO-TOPSIS model performs better than the MOFEPSO-TOPSIS model and can help establish a VSC with enhanced economic, environmental, and social sustainability.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Feng Men, Rana Muhammad Shahid Yaqub, Rui Yan, Muhammad Irfan, Ali Haider
Summary: Sustainable supply chain management (SSCM) is gaining interest among scientists and industrial practitioners as it helps maintain productivity, reduce costs, and enhance agility. This study aimed to explore the relationships between top management support, perceived justice, supplier management, and SSCM, and examine the moderating role of supply chain agility. The findings suggest that top management support, perceived justice, and supplier management are positively associated with SSCM, and supply chain agility does not moderate these relationships significantly.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Engineering, Industrial
Amir Azaron, Uday Venkatadri, Alireza Farhang Doost
Summary: In this study, a multi-objective two-stage stochastic programming model is developed to address various decision-making aspects within a supply chain network. By utilizing the epsilon-constraint method to generate a set of Pareto optimal solutions, treating uncertain parameters as continuous random variables, and employing the SAA scheme for near optimal solutions, the efficiency of the proposed solution methodology is demonstrated through computational studies involving hypothetical and real supply chain networks of different sizes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Civil
Alessandro Pagano, Raffaele Giordano, Michele Vurro
Summary: The research aims to develop a Decision Support System to assist emergency managers in identifying and ranking the most suitable measures for dealing with emergency water supply. The Analytic Hierarchy Process has been utilized to integrate scientific and expert knowledge, enhancing the effectiveness of the decision-making process.
WATER RESOURCES MANAGEMENT
(2021)
Article
Agronomy
Marius Drechsler, Andreas Holzapfel
Summary: This paper investigates planning problems in the supply chain of small and medium-sized companies in the horticultural market. It highlights the challenges faced by the sector and the need for data-driven decision support systems. Expert interviews and a literature review are conducted to explore the practical planning problems and identify research gaps. The paper contributes to an understanding of planning problems and decision-making in horticultural supply chains and provides an overview of the current research status and future research directions.
Review
Business
Fatemeh Sahar Goudarzi, Paul Bergey, Doina Olaru
Summary: This study critically reviews the behavioral aspect of channel coordination mechanisms in supply chains by categorizing literature based on adopted theories. Methodological contributions include using automated content analysis and validating results through interviews with leading scholars in the field. The study also proposes future research directions based on research gaps.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Sonia Cisneros-Cabrera, Grigory Pishchulov, Pedro Sampaio, Nikolay Mehandjiev, Zixu Liu, Sophia Kununka
Summary: Industry 4.0 technologies, process digitalisation, and automation can facilitate the formation of supply chain collaborations in manufacturing, enabling independent companies to collaborate to seize new business opportunities. With the support of assistive processes and technologies, collaborative teams can be quickly formed, increasing the chances of successfully bidding for projects.
COMPUTERS IN INDUSTRY
(2021)
Article
Green & Sustainable Science & Technology
Maria Ghufran, Khurram Iqbal Ahmad Khan, Fahim Ullah, Wesam Salah Alaloul, Muhammad Ali Musarat
Summary: This research explores the causality among the crucial drivers of resilient and sustainable supply chain management in construction projects. Agility, information sharing, strategic risk planning, corporate social responsibility, and visibility are identified as the key enablers for RSSCM.
Article
Management
Le Ngoc Bao Long, Truong Ngoc Cuong, Hwan-Seong Kim, Sam-Sang You
Summary: This study focuses on the dynamic characteristics and resilience issues of managing multi-echelon supply chain systems. It evaluates the nonlinear systems using various computational methods and applies machine learning algorithms to enhance the resilience and sustainability of the supply chain in volatile markets.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Management
Le Ngoc Bao Long, Truong Ngoc Cuong, Hwan-Seong Kim, Sam-Sang You
Summary: This paper addresses the dynamic characteristics and resilience issues of managing multi-echelon supply chain systems against disruptions. It evaluates discrete-time nonlinear systems with time delay using Lyapunov exponent, bifurcation diagram, permutation entropy, and Poincare map. An echo state network (ESN) is used to predict the future states of the supply chain dynamics and implement a resilience strategy. Numerical simulations demonstrate the integration of machine learning algorithms with management schemes, ensuring the resilience and sustainability of the supply chain against market volatility.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)