Article
Green & Sustainable Science & Technology
Dongqing Jia, Xingmei Li, Zhong Shen
Summary: Previous studies have rarely considered the adjustment of existing transfer stations in the location selection process. This paper proposes a location model based on linear programming to address this issue. A robust model is also established by considering the uncertainty of waste production and introducing an uncertainty budget. A case study in Beijing demonstrates that considering the adjustment of existing transfer stations significantly reduces investment costs and overall costs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Management
Lusheng Shao
Summary: This article develops a two-stage stochastic program to study a firm's capacity investment and production decisions when exploring new production locations. The study finds that the firm may perform better when the production cost or demand is more variable, and retaining the existing location's value depends on market size, consumer price sensitivity, and production cost variability.
Article
Management
Chun Cheng, Yossiri Adulyasak, Louis-Martin Rousseau
Summary: Facility location decision is strategic and should consider uncertainties; Solutions to fixed charge location problems and facility fortification problems were studied and compared; Experimental results show that robust models can better handle problems under uncertainties, assisting managers in making more informed decisions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Engineering, Industrial
Yun Hui Lin, Yuan Wang, Loo Hay Lee, Ek Peng Chew
Summary: This paper addresses the trade-off between robustness and complexity in logistics network design, proposing a model that explicitly considers demand uncertainty and a linear reformulation method. The study shows that in some cases, it is possible to enhance robustness and reduce complexity simultaneously. With increased demand uncertainty, the network may become less robust, requiring more backup links and incurring additional costs.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2021)
Article
Management
Ahmed Saif, Erick Delage
Summary: This study focuses on a distributionally robust version of the capacitated facility location problem, addressing uncertainties in customer demands through various approximation schemes and algorithms. Numerical experiments on benchmark instances demonstrate the efficiency of exact solution algorithms and the performance guarantee of the solutions on out-of-sample data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Massimo Di Francesco, Manlio Gaudioso, Enrico Gorgone, Ishwar Murthy
Summary: The study introduces a new disaggregated formulation for the Capacitated Concentrator Location Problem (CCLP) and demonstrates the strength of the extended formulation over the traditional one. Two classes of inequalities exploiting the cardinality effect of the extended formulation are presented. Experimental results show that the branch-and-cut procedure using the disaggregated formulation outperforms the traditional formulation in solving large-scale problems.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Transportation Science & Technology
Tengkuo Zhu, Stephen D. Boyles, Avinash Unnikrishnan
Summary: This paper discusses a short-term post-disaster UAV humanitarian relief application, considering demand uncertainty using demand scenarios. It proposes a location-allocation plan with minimal cost and compares the performance of different models.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Management
Beste Basciftci, Shabbir Ahmed, Siqian Shen
Summary: This paper discusses a distributionally robust facility location problem, highlighting the significant impact of facility location decisions on customer demand. The proposed decision-dependent distributionally robust optimization model demonstrates superior performance in profit and service quality across different scenarios.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
P. Avella, M. Boccia, S. Mattia, F. Rossi
Summary: This study introduces a new class of valid inequalities, Weak Flow Cover inequalities, which can be separated in polynomial time and turned into violated Flow Cover inequalities, thus providing a polynomial separation heuristic for the Capacitated Facility Location Problem. By embedding the separation procedure into a cut-and-branch approach, significantly better results for both lower and upper bounds are achieved than those reported in recent literature.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Amir Khaleghi, Alireza Eydi
Summary: This paper proposes a multi-objective mixed-integer nonlinear programming model for a sustainable multi-period hub location problem. The model takes into account milestones, capacity increase, and capacity transfer between hubs, and determines the optimal timing for implementation. Through linearization of the model and sensitivity analysis, it is found that the design cost with economic and social considerations is higher, ignoring uncertainty can lead to non-optimal solutions, and increasing the number of hubs has a marginal impact on reducing emissions.
Article
Management
Thomas Byrne, Jorg Kalcsics
Summary: The study explores the impact of barriers on bisectors of facilities and the changes in Voronoi diagram caused by the movement of additional facility, leading to a polynomial exact algorithm using incremental Voronoi diagram and first order optimality conditions to find exact solutions within market space.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
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)
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
Allyson Silva, Daniel Aloise, Leandro C. Coelho, Caroline Rocha
Summary: This study focuses on the Dynamic Facility Location Problem with Modular Capacities (DFLPM), using tailored heuristics to find optimal solutions under various scenarios and cost structures. Experimental results show that different heuristics perform differently depending on the characteristics of the instance being solved. Practitioners can choose the most suitable method based on the specific situation to achieve better results.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Karmel S. Shehadeh, Ece Sanci
Summary: This paper considers a decision-maker who needs to determine a subset of locations to open facilities from a set of candidate sites and assign customer demand accordingly. The study focuses on a new setting where customer demand is bimodal, with two spatially distinct probability distributions. By constructing a scenario-wise ambiguity set and formulating a distributionally robust facility location model, the study seeks to minimize costs while considering the ambiguity and multimodality of demand distributions in strategic real-world problems.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Management
Omer Burak Kinay, Bahar Yetis Kara, Francisco Saldanha-da-Gama, Isabel Correia
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Management
Isabel Correia, Stefan Nickel, Francisco Saldanha-da-Gama
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2018)
Article
Operations Research & Management Science
Bernardo F. Almeida, Isabel Correia, Francisco Saldanha-da-Gama
Article
Management
Bernardo F. Almeida, Isabel Correia, Francisco Saldanha-da-Gama
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2019)
Article
Engineering, Industrial
C. L. Martins, M. T. Melo, M. Pato
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2019)
Article
Engineering, Multidisciplinary
M. J. Cortinhal, M. J. Lopes, M. T. Melo
APPLIED MATHEMATICAL MODELLING
(2019)
Article
Computer Science, Interdisciplinary Applications
Christophe Sauvey, Teresa Melo, Isabel Correia
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
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
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
Computer Science, Interdisciplinary Applications
Isabel Correia, Teresa Melo
COMPUTERS & INDUSTRIAL ENGINEERING
(2017)