Article
Multidisciplinary Sciences
Wuyang Yu
Summary: This study examines the impact of consumer behavior on company facility selection and proposes a robust model to help new entrant companies maximize market share. By using exact and heuristic methods, some strategies for locating facilities are suggested.
Article
Engineering, Multidisciplinary
Honglin Li, Tongdan Jin, Clara Novoa
Summary: This paper proposes an integrated facility and microgrid location-allocation model for achieving low-carbon supply chain operations. The model considers the uncertainties in product demand and energy supply, and allocates production, inventory, transportation, generation, and energy transactions to lower the net supply chain cost.
APPLIED MATHEMATICAL MODELLING
(2023)
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
Green & Sustainable Science & Technology
Kanokporn Kungwalsong, Chen-Yang Cheng, Chumpol Yuangyai, Udom Janjarassuk
Summary: A supply chain disruption refers to an unforeseen event that disrupts the flow of materials, potentially causing significant negative impacts. Traditional supply chain network designs often fail to consider disruptions. This study introduces a new model that proactively accounts for disruptive events in supply chain network design and demonstrates its advantages.
Article
Operations Research & Management Science
Hamzeh Amin-Tahmasbi, Sina Sadafi, Banu Y. Ekren, Vikas Kumar
Summary: This study proposes a mixed-integer multi-objective integrated mathematical model for solving facility location and order allocation optimization problems in a two-echelon supply chain network. The model considers multiple objective functions, including cost minimization, rejected and late delivery unit minimization, and maximization of the assessment score of selected suppliers. This study is significant for cost-efficient management of companies' supply chain networks.
ANNALS OF OPERATIONS RESEARCH
(2023)
Review
Computer Science, Interdisciplinary Applications
Eduardo Alarcon-Gerbier, Udo Buscher
Summary: Supply chain planning is typically based on fixed production locations. However, with the development of new technologies and modularization, mobile and modular units have emerged that can change locations quickly and at a low cost. This has generated interest in studying more flexible network positioning. By reviewing and classifying 125 research papers, this study provides a comprehensive overview of mathematical formulations, solution approaches, objectives, and main characteristics. Additionally, case studies presented in the literature are categorized and research trends for further development in this field are identified.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Yunqiang Yin, Jie Wang, Feng Chu, Dujuan Wang
Summary: Facility location, supply inventory and distribution, and evacuation planning are critical operational functions in a humanitarian relief network. To address uncertainty, a distributionally robust model is developed for multi-period humanitarian relief network design with multiple types of relief supplies. An enhanced branch-and-Benders-cut algorithm is proposed to solve the formulated mixed integer linear programme. Extensive numerical experiments demonstrate the effectiveness of the distributionally robust model and algorithm enhancements in providing reliable and flexible solutions, reducing CPU time, and highlighting the importance of integrated solution approach and proper parameter setting.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Transportation
Rajali Maharjan, Hironori Kato
Summary: This study provides a comprehensive review of recent literature on resilient supply chain network design (RSCND), exploring and analyzing different resilience measures used in the literature and the benefits of incorporating them in supply chain network design. Although only a limited number of studies were found, this topic has great potential for future research.
Article
Management
Balan Sundarakani, Vijay Pereira, Alessio Ishizaka
Summary: This study investigates the importance and methods of establishing or moving distribution facilities in the global supply chain, proposing a novel ROMILP method to address uncertainties and costs, validated through case studies. The results show that the ROMILP model can assist logistics managers in making facility location decisions under uncertainty, and is crucial for the development of the global logistics corridor.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2021)
Article
Environmental Sciences
Zeinab Zarrat Dakhely Parast, Hasan Haleh, Soroush Avakh Darestani, Hamzeh Amin-Tahmasbi
Summary: This study introduces a bi-objective mixed-integer linear programming model for designing a green supply chain, which takes into account various factors such as perishable products, vehicle scheduling, and location-inventory-routing problem. Through the use of fuzzy theory, the model is able to minimize total costs and lost demands simultaneously. The results from applying the model in a bread production and distribution industry demonstrate the effectiveness of the proposed solution approach.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Management
Robert Aboolian, Oded Berman, Dmitry Krass
Summary: The paper introduces a generalized framework and methodology for optimizing both location and design decisions for multiple facilities simultaneously. Research results demonstrate that combining design and location decisions can lead to better optimization outcomes, while not combining them may result in significant optimality gaps.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Huihui Wang, Shu-Cherng Fang, Min Huang, Qihuan Zhang, Zhibin Deng
Summary: This paper investigates a joint supply chain network model that integrates location, inventory, and third-party logistics provider decisions. The proposed model and method allow for the design of an efficient supply chain system, reducing overall costs and improving efficiency.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
C. R. Vishnu, Sangeeth P. Das, R. Sridharan, P. N. Ram Kumar, N. S. Narahari
Summary: The research focuses on supply chain risk management, proposing a mathematical model to optimize cost, reliability, and volume flexibility in a four-echelon supply chain. A genetic algorithm is used as the solution methodology with a case study demonstrating the industrial applicability of the model.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Economics
Yanzi Zhang, Ali Diabat, Zhi-Hai Zhang
Summary: Closed-loop supply chains (CLSCs) are complex networks with higher uncertainties compared to traditional supply chains. This study focuses on a reliable location-inventory problem in CLSC considering the mutual effects between failures of co-located forward and reverse distribution centers (DCs). A decomposition approach based on the outer approximation (DOA) algorithm is proposed to address the nonconvex mixed-integer programming problem.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Management
Yao Cui, Vishal Gaur, Jingchen Liu
Summary: Companies investing in blockchain technology to enhance supply chain transparency face challenges in collaborations and information sharing. This paper analyzes two ways that blockchain can improve supply chain transparency and explores when and how it should be adopted. The study finds that blockchain increases supply chain profit only when the manufacturer's capacity is large.
MANAGEMENT SCIENCE
(2023)
Review
Management
Zehranaz Donmez, Bahar Y. Kara, Ozlem Karsu, Francisco Saldanha-da-Gama
Summary: This paper provides a comprehensive review of research on facility location problems under uncertainty in a humanitarian context, with a focus on different perspectives such as facility types, decision-making, optimization criteria, uncertainty capturing methods, and solution methods. The detailed analysis helps identify distinguishing features of the problems and current research trends, expectations, and gaps in existing knowledge, highlighting relevant research directions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Antonio Diglio, Juanjo Peiro, Carmela Piccolo, Francisco Saldanha-da-Gama
Summary: This paper investigates a districting problem with stochastic demands, aiming to find a balanced division with given probability. A two-phase heuristic method is developed, along with a simulation procedure to estimate the probability of balanced districting. Different probability distributions for demands are also explored.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Yuchen Li, Zixiang Li, Francisco Saldanha-da-Gama
Summary: In this paper, the assembly line rebalancing problem in a multiperiod context with stochastic processing times is studied. Two policies, periodic rebalancing and data-driven rebalancing, are proposed to minimize total costs. Empirical results show that sometimes rebalancing the assembly line is worse, rebalancing too often may not be beneficial, and the new data-driven policy is better than the plain multiperiod policy.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2022)
Article
Mathematics, Applied
Isabel Correia, Teresa Melo
Summary: The study addresses a multi-period facility location problem for two customer segments with distinct service requirements. Two different frameworks for planning capacity decisions are proposed, each with a two-stage stochastic model. Enhanced formulations and additional inequalities are proposed to improve solution efficiency, with extensive computational study showing significant benefits. Important insights into the impact of the two different planning frameworks on facility network configuration and total cost are also provided.
COMPUTATIONAL & APPLIED MATHEMATICS
(2021)
Article
Management
Yuchen Li, Francisco Saldanha-da-Gama, Ming Liu, Zaoli Yang
Summary: This paper investigates a comprehensive production planning problem under uncertain demand, which involves two NP-hard optimization problems: assembly line balancing and capacitated lot-sizing. It proposes efficient solution procedures for risk-averse decision makers and provides insights from a case study related to mask production as well as the results of computational tests.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Information Systems
Chuan Wang, Hongjie Lan, Francisco Saldanha-da-Gama, Youhua Chen
Summary: This study focuses on optimizing a last-mile delivery system with multiple transportation modes, combining vans, drones, and trucks to deliver parcels. The goal is to reduce the overall delivery cost, and results show that nearly 10% of costs can be saved by combining traditional delivery methods with drones and drone stations through the use of a heuristic algorithm and discrete optimization model.
Article
Engineering, Industrial
Javier Alcaraz, Laura Anton-Sanchez, Francisco Saldanha-da-Gama
Summary: This work provides new insights on bi-criteria resource-constrained project scheduling problems. It presents a realistic problem definition and optimization model, followed by the development of an algorithm and a metaheuristic algorithm to solve the problem.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Bowen Zhang, Xiang Li, Francisco Saldanha-da-Gama
Summary: This paper investigates and compares different repositioning rules in free-floating bike-sharing systems. The authors propose new rules and develop mathematical models. Computational tests show that different rules have different cost-effectiveness in various repositioning scenarios.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Isabel Correia, Teresa Melo
Summary: E-commerce growth is leading retailers to adopt flexible alternatives for storage space that allow them to respond dynamically to variations in demand and improve customer service. This paper addresses the configuration problem of a two-echelon, multi-commodity distribution network operated by a retailer, utilizing mixed-integer linear programming and considering alternative approaches with limited flexibility and scalability.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Victor Blanco, Ricardo Gazquez, Francisco Saldanha-da-Gama
Summary: This paper presents a general modeling framework for solving a multi-type maximal covering location problem. The framework simultaneously decides the positions of facilities in different normed spaces to maximize demand. To address the need for intertwining location decisions in discrete and continuous sets, a hybridized problem is considered with facilities located in finite sets and continuous normed spaces. An integer linear programming reformulation is proposed for a natural non-linear model. A branch-and-cut algorithm is developed for better tackling the problem. The study focuses on locating continuous facilities in the Euclidean plane and proposes an alternative integer linear programming model by leveraging geometrical properties. Extensive computational experiments are conducted to evaluate the methodological contribution, including both synthetic and real geographical and demographic data with up to 920 demand nodes. (c) 2022 Elsevier B.V. All rights reserved.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Antonio Diglio, Juanjo Peiro, Carmela Piccolo, Francisco Saldanha-da-Gama
Summary: This work investigates a districting problem with stochastic demand, using chance-constraints to model balancing requirements. Explicit contiguity constraints are also taken into account. An approximate deterministic counterpart is proposed, which forms the basis for new solution algorithms. These algorithms use a locationallocation scheme and offer two variants of a new heuristic. Extensive computational tests were conducted, and the results are reported. (c) 2022 Elsevier B.V. All rights reserved.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Economics
Francisco Saldanha-da-Gama
Summary: This article aims to contribute to the celebration of the 25th Anniversary of Transportation Research Part E: Logistics and Transportation Review by providing an overview of the role of Facility Location in Logistics and Transportation. It discusses the increasing importance of Facility Location due to technological developments, economy globalization, and environmental concerns. The article also explores current trends and future challenges, including the transition from Industry 4.0 to Industry 5.0 and the impact of data-driven decision making in the era of big data.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Management
Angelo Aliano Filho, Washington A. Oliveira, Teresa Melo
Summary: We propose a mixed-integer non-linear programming model to schedule planting and harvesting operations for different varieties of sugarcane, considering constraints related to cultivation and harvesting cycles, machinery availability, and technical requirements. The model aims to maximize sucrose and fiber production, minimize harvesting time, and reduce transportation costs. We develop a tailored exact method that efficiently obtains Pareto-optimal solutions. The computational study demonstrates the effectiveness of the proposed methodology and provides insights for decision-making.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Afaf Aloullal, Francisco Saldanha-da-Gama, Raca Todosijevi
Summary: This research investigates the use of time-dependent decisions in hub-location routing. The study proposes a mathematical model that can solve the problem optimally for small instances and a matheuristic for larger instances. The results suggest that considering time in the decision-making process can lead to better solutions that can handle parameter changes throughout time. Moreover, the proposed methodology can be easily adapted to other multi-period decision-making problems and different objective functions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Tianqi Liu, Francisco Saldanha-da-Gama, Shuming Wang, Yuchen Mao
Summary: This work focuses on a class of facility location problems with state-dependent demand uncertainty. The authors adopt a state-wise ambiguity set to model distributional uncertainty in different states. They analyze the impact of the change in ambiguity-set parameters on the total cost and location design using robust sensitivity analysis. They propose a nested Benders decomposition algorithm for solving the model exactly. The numerical experiments demonstrate the value and robustness of the model and the performance of the solution approach.
INFORMS JOURNAL ON COMPUTING
(2022)
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)
