Article
Green & Sustainable Science & Technology
Thanh Tiep Le, Xuan Hung Kieu, Abhishek Behl, Vijay Pereira
Summary: This study examines the mechanism for businesses in the food value chain to overcome post-pandemic challenges and promote sustainability. By analyzing the relationships between driving factors and sustainable supply chain management, the study identifies the mechanisms for enhancing the sustainability of the food value chain. By exploring how socially, environmentally, and economically responsible practices affect supply chain management, this study contributes to the knowledge of supply chain management and broadens the concept of corporate social responsibility.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Business
Yasmim Maia Pederneiras, Johann Meckenstock, Ana Isabel Cerqueira Carvalho, Ana Paula Barbosa-Povoa
Summary: This paper emphasizes the relationship between complexities of wicked problems and characteristics of sustainable supply chain management, proposing business strategies to mediate this relationship while highlighting the importance of stakeholder engagement, transparency, and long-term partnerships.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
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
Engineering, Industrial
Jessica Olivares-Aguila, Waguih ElMaraghy
Summary: Disruptions in the downstream levels of a supply chain have a greater impact on performance and should be given higher priority, while expediting after disruptions does not benefit long-term supply chain performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Development Studies
Piera Centobelli, Roberto Cerchione, Eugenio Oropallo, Wael Hassan El-Garaihy, Tamer Farag, Khalid Hassan Al Shehri
Summary: This paper presents a systematic framework for sustainable supply chain management, focusing on the relationship between technology capabilities and supply chain practices. The research emphasizes the benefits of the interaction between technology and supply chain practices, particularly in the context of complex dyadic relationships in supply networks. The study also outlines potential future research directions for scholars and practitioners in the field of sustainable supply chain design and relationship management.
SUSTAINABLE DEVELOPMENT
(2022)
Article
Green & Sustainable Science & Technology
Jinfeng Wang, Lei Zhu, Lijie Feng, Jian Feng
Summary: Industry and academia are increasingly recognizing sustainability as a competitive advantage in the supply chain. However, previous empirical studies on sustainable supply chain management (SSCM) have shown mixed results regarding its impact on firm performance, with limited attention on the innovation dimension. Therefore, this study conducted a meta-analysis of 158 empirical studies to examine the relationship between SSCM and firm performance, considering potential moderating variables. The findings suggest that SSCM not only improves operational, economic, environmental and social performance, but also fosters innovation, with downstream SSCM contributing the most to firm performance.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Article
Business
Over Manuel Montes Causil, Danielle Costa Morais
Summary: The research proposes a precise food supplier sorting model using Value-Focused Thinking (VFT) and Flexible and Interactive Tradeoff (FITradeoff) method to improve the operation of suppliers and achieve sustainable development. The suppliers are categorized into sustainable suppliers, suppliers in the path of development, and non-green suppliers. The model is found to be useful in designing green programs for each supplier category and suggesting a strategic direction for a greener food supply chain.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Business
Arsalan Mujahid Ghouri, Haseeb R. Khan, Venkatesh Mani, Mirza Amin ul Haq, Ana Beatriz Lopes de Sousa Jabbour
Summary: We have developed and tested an innovative omnichannel blood supply chain model based on artificial intelligence, which was formulated using inputs obtained through semi-structured interviews with healthcare practitioners in the blood supply chain. This model addresses the supply and demand imbalance in critical situations for blood supply chains. It consists of two parts: (a) finding the closest and fastest available blood supply (omnichannel perspective), and (b) raising blood supply requests among university students through SMS messaging in emergencies or blood shortages (AI perspective). This OBSC model is significant as it contributes to the United Nations' Sustainable Development Goal 3, ensuring healthy lives and promoting well-being for all at all ages.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Mohammad Shamsuddoha, Tasnuba Nasir, Niamat Ullah Ibne Hossain
Summary: The dairy industry is crucial for global food system, providing nutrients and employment. However, it has environmental and social impacts that need to be addressed for sustainability. This research focuses on a case study in Bangladesh to improve waste management and resource utilization in dairy farming for sustainable outcomes.
Article
Engineering, Industrial
Yu Gong, Yan Jiang, Fu Jia
Summary: This study explores the complexity in multi-tier sustainable supply chain management through a social systems theory perspective. The findings suggest that focal companies tend to create both internal complexity and collaborative complexity in order to cope with environmental complexity. Additionally, environmental overlap and available collaborative complexity increase in this process, facilitating further creation of requisite variety.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Selmen Boubaker, Zied Jemai, Evren Sahin, Yves Dallery
Summary: This paper proposes a quantitative approach to evaluate and improve supply chain agility and develops a model to simulate the flow of information and physical goods in different situations. A numerical study is presented and interesting insights from real-life applications are discussed.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Svante Andersson, Goran Svensson, Carmen Otero-Neira, Helene Laurell, John Lindgren, Niklas P. E. Karlsson
Summary: This study investigates the relationship between focal firms' business sustainability and supply chain networks stakeholders. Findings from a questionnaire survey of large Swedish firms revealed the stakeholders of interest in sustainability efforts and compared them with findings from Norway and Spain. The study also identified the stakeholders that need to be considered in the supply chain network and demonstrated how firms can implement business sustainability in their networks.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Review
Green & Sustainable Science & Technology
Chang-Tang Chiang, Tun-Chih Kou, Tian-Lih Koo
Summary: This study reviewed the impact of information technology-based supply chain management on sustainability through a systematic literature review and analysis. By identifying key research topics and developing a sustainable supply chain management model, it aims to enhance the understanding of academics and supply chain managers on sustainability.
Article
Development Studies
Ardian Qorri, Saranda Gashi, Andrzej Kraslawski
Summary: This study analyzed the link between firm's sustainable supply chain management practices and performance, finding a positive correlation. The nuanced views from moderator analysis help policy makers and practitioners to better understand the benefits of SSCM practices.
SUSTAINABLE DEVELOPMENT
(2021)
Review
Automation & Control Systems
Laith Abualigah, Essam Said Hanandeh, Raed Abu Zitar, Cuong-Le Thanh, Samir Khatir, Amir H. Gandomi
Summary: This paper reviews the application of metaheuristics in optimizing sustainable supply chain management. It explores the potential of metaheuristics to improve the sustainability, efficiency, and competitiveness of the supply chain. The paper provides an overview of sustainable supply chain management principles and challenges, introduces the concept of metaheuristics, reviews various algorithms applied in this field, analyzes their effectiveness, and identifies key success factors. It also provides recommendations for future research and highlights the potential of metaheuristics in promoting sustainable supply chain management.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Editorial Material
Management
Maria Besiou, Alfonso J. Pedraza-Martinez, Luk N. Van Wassenhove
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Engineering, Manufacturing
Mojtaba Salem, Niels Van Quaquebeke, Maria Besiou, Louisa Meyer
PRODUCTION AND OPERATIONS MANAGEMENT
(2019)
Article
Engineering, Manufacturing
Gloria Urrea, Alfonso J. Pedraza-Martinez, Maria Besiou
PRODUCTION AND OPERATIONS MANAGEMENT
(2019)
Article
Management
Maria Besiou, Luk N. Van Wassenhove
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2020)
Article
Management
Laura Turrini, Maria Besiou, Dominik Papies, Joern Meissner
JOURNAL OF OPERATIONS MANAGEMENT
(2020)
Article
Engineering, Manufacturing
Maria Besiou, Alfonso J. Pedraza-Martinez, Luk N. Van Wassenhove
Summary: During emergencies, humanitarian efforts may focus on saving lives quickly, but this short-term approach can have long-term negative effects on communities and the planet. Similarly, long-term goals of improving the lives of the poor may be hindered by lack of community involvement and resources. Despite progress towards sustainable development goals, issues such as social equity remain challenging for many countries.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Management
Maria Besiou, Luk N. Van Wassenhove
Summary: The increasing complexity of current humanitarian operations has highlighted the usefulness of system dynamics (SD) in helping decision-makers navigate challenges such as increased stakeholders, scarce resources, and uncertainty. This study also examines alternative approaches to address the common issue of missing data in SD applications.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2021)
Article
Engineering, Manufacturing
Vasileios Kosmas, Michele Acciaro, Maria Besiou
Summary: This study focuses on the Mediterranean Sea migration crisis and explores the effectiveness of search and rescue (SAR) operations and measures to reduce migrant deaths at sea. The study suggests that enhancing cooperation among stakeholders, providing legal migration pathways, and improving migrant detection and interception can effectively reduce the number of deaths at sea.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Navid Mohamadi, Hataw Bakhishi, Sandra Transchel, Maria Besiou
Summary: This paper discusses strategies that retailers and humanitarian organizations can implement under a cash and voucher assistance (CVA) program to maximize service and dignity levels while minimizing transmission risk during a pandemic.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Engineering, Manufacturing
Lea Ruesch, Murat Tarakci, Maria Besiou, Niels Van Quaquebeke
Summary: Disasters mobilize numerous organizations, but coordinating their efforts remains challenging. The United Nations has established clusters to facilitate communication and resource sharing among humanitarian organizations, but past coordination failures have raised doubts about the effectiveness of this approach. This research examines the role of cluster leads in facilitating coordination and conducting their own ground operations, finding that this dual role hinders trust and coordination among cluster members. Additional simulation findings support the detrimental effects of a dual role for the cluster lead compared to a purely facilitator role.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Mojtaba Salem, Niels Van Quaquebeke, Maria Besiou
Summary: The controversy over whether authoritarian leadership can improve the performance of humanitarian operations is addressed in this study. Drawing on psychological theories, the researchers find that authoritarian leadership may impede aid workers' proactive adaptability, thus having negative implications for humanitarian operations.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Review
Management
Chandra Prakash, Maria Besiou, Parikshit Charan, Sumeet Gupta
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2020)
Article
Management
Rebecca Lewin, Maria Besiou, Jean-Baptiste Lamarche, Stephen Cahill, Sara Guerrero-Garcia
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2018)
Article
Management
Irina Dolinskaya, Maria Besiou, Sara Guerrero-Garcia
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2018)
Article
Business
Mojtaba Salem, Niels Van Quaquebeke, Maria Besiou
JOURNAL OF ORGANIZATIONAL BEHAVIOR
(2018)
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)