相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Engineering, Industrial
Duo Wang et al.
Summary: Relief logistics is crucial for disaster relief management. In this study, a risk-averse two-stage distributionally robust programming model is proposed as a decision support tool for planning disaster relief logistics. The proposed model is validated through numerical experiments based on a real-world case study and is compared with the conventional two-stage stochastic programming model.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Engineering, Industrial
Benjamin Rolf et al.
Summary: Decision-making in supply chains is challenged by complexity, but data-driven methods like reinforcement learning have the potential to overcome these challenges. The current state of the art in reinforcement learning for supply chain management focuses on the popular Q-learning algorithm and its application to inventory management, but there is a need to address industry-scale problems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Dezhi Zhang et al.
Summary: This study focuses on the relief kit assembly and distribution problem and proposes a min-max robust model to handle uncertain demand and travel time. Through empirical research and case analysis, some managerial insights are obtained, such as the effectiveness of assembling relief kits in distribution centers and the influence of vehicle loading capacity on the optimal solution.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Industrial
Xavier Brusset et al.
Summary: This paper discusses the ripple effects of disruptions in supply networks caused by the pandemic and proposes a model that combines logistics with an epidemiological model to predict and simulate the impact on workforce in the supply chain. The findings can provide useful insights for managers and scholars to mitigate the impact of a pandemic.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Dmitry Ivanov et al.
Summary: The COVID-19 pandemic has led to the emergence of new research areas in supply chain resilience, including viability. Viability extends the understanding of resilience from performance-based assessment to the survivability of supply chains and ecosystems during both short-term disruptions and long-term crises. This editorial paper reviews the existing literature on supply chain viability, identifies seven major pillars of supply chain viability theory, and suggests future research directions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Tadeusz Sawik
Summary: “This paper presents a novel quantitative approach and stochastic quadratic optimisation model to maintain supply chain viability under the ripple effect. Instead of viability kernel commonly used in the viability theory, this paper establishes the boundaries on acceptable production states for which the production can be continued under the ripple effect, with no severe losses. The findings indicate that for the extreme values of the weight factor, the viable production trajectory is inclined toward the corresponding boundary trajectory and remains in-between the two boundaries, when both objectives are equally important. Keeping production trajectory in-between the two boundaries makes the supply chain more resilient to disruption risks, while the supply chain resilience diminishes as the production trajectory approaches a boundary trajectory. Then a more severe disruption may push the production outside the viability region and cause greater losses.”
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Riccardo Aldrighetti et al.
Summary: Supply chain resilience is crucial in coping with disruptions and can be achieved through network redundancy and process flexibility. This paper introduces a mathematical model for designing an efficient resilience portfolio in a multi-echelon supply chain, which allows for increased resilience at minimal costs. The findings contribute to transforming resilience from a costly expense to a value-creation asset.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Management
Dmitry Ivanov et al.
Summary: The design and management of a viable supply chain is crucial for the survivability of firms and meeting society's essential needs in long-term crises. This Special Issue presents new research in operations research and management science to support decision-making in long-term supply chain crises. It contributes to advancing our knowledge and application fields for designing and managing viable systems.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Engineering, Industrial
Shanshan Li et al.
Summary: Anticipating price hikes and shortages, customers may stockpile products. Optimal hoarding policies for customers are derived, taking into account disruption events, market responses, and recovery dynamics. Contingent sourcing tactics for manufacturers are presented to mitigate disruptions, considering customer hoarding. Recommendations are provided for supply chain decision-making in times of growing inflation, accounting for disruption duration and price dynamics.
Article
Operations Research & Management Science
Ghazaleh Ahmadi et al.
Summary: This paper introduces a robust decision support framework for the planning of search and rescue resource deployment in post-disaster districts. The framework utilizes a two-stage decomposition approach and formulates the problem as iterative interrelated stages of mixed-integer programming models. It considers time-sensitiveness, resource transshipment optimization, and maximizing demand coverage in the affected districts. The proposed framework is applied to an urban zone in Iran under an earthquake scenario, and the results demonstrate its superior performance compared to a deterministic approach in adapting to uncertain disaster environments. It also serves as a useful tool for providing managerial insights in the mitigation and preparedness phases.
OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
Peiyu Zhang et al.
Summary: Natural disasters not only cause massive losses but also psychological damage, and can even lead to social unrest. It is important to design a sustainable relief network for distributing supplies. This study proposes a multi-objective distributionally robust optimization model to maximize equitable distribution while minimizing transportation time and cost.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
S. M. Nabavi et al.
Summary: This study introduces a new perspective in disaster management by synchronizing multiple vehicles for victim evacuation and debris removal. A novel bi-objective mixed-integer programming model is presented, and a two-stage data-driven approach is used to predict reliable travel and service times. The proposed framework improves planning and routing by providing meaningful insights into the influence of significant parameters.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Kamar Zekhnini et al.
Summary: This paper discusses the importance of digital, lean, and green capabilities in industrial development, reviewing the current literature on digital supply chain management performance. It explores the relationships between digital technologies, lean, green, and sustainability, and presents a roadmap model integrating lean and green for sustainable digital supply chain performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Lianhua Tang et al.
Summary: This work investigates a new multi-period vaccination planning problem that optimizes both the total travel distance of vaccination recipients and the operational cost. The proposed genetic algorithm approach reduces the operational cost and the total travel distance by up to 9.3% and 36.6% respectively. The study suggests that enlarging the service capacity of vaccination sites can improve the performance of the vaccination program.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Management
Ye Chen et al.
Summary: This study explores a new data-driven uncertainty model for monotonic cost functions in two-stage planning problems, which can significantly improve worst-case performance outcomes when used in robust optimization. Demonstrated in three realistic case studies, the model handles monotonic structure and uncertainty effectively through statistical tests and sample data.
OPERATIONS RESEARCH
(2022)
Article
Economics
Lipika Shaw et al.
Summary: This study proposes a mathematical model related to resource management for efficiently distributing resources to the affected areas during disasters. The model considers multiple optimization objectives and employs neutrosophic compromise programming to handle uncertainties. The effectiveness of the model is validated through comparisons with other methods. Numerical examples and sensitivity analysis are provided to support the feasibility of the model.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Engineering, Industrial
Kasin Ransikarbum et al.
Summary: Humanitarian logistics research has attracted significant interest recently, with increasing focus on mathematical models for disaster operations management. This study explores a bi-criteria integrated response and recovery model for strategic post-disaster decisions, proposing a hybrid approach with an evolutionary component based on NSGA-II to address conflicting objectives of fairness and cost. The proposed algorithm is compared against an exact method using approximate Pareto-front analysis, showcasing its efficiency in handling earthquake aftermath through a case study from Hazus.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Tadeusz Sawik
Summary: This paper presents a multi-portfolio approach and scenario-based stochastic MIP models for optimizing supply chain operations under the ripple effect. The findings indicate that resilient measures commonly used for mitigating region-specific disruptions can be successfully applied to mitigate the impacts of multi-regional pandemic disruptions and the ripple effect.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Abolfazl Aliakbari et al.
Summary: This paper presents a robust optimization model for relief logistics planning to minimize total cost before and after a disaster. Experimental results show that the genetic algorithm can provide solutions close to optimal. The application of the model in a real case also demonstrates its effectiveness.
Article
Economics
Yimo Yan et al.
Summary: This paper provides a comprehensive review of the development and applications of reinforcement learning techniques in logistics and supply chain management. The most popular approach, Q-learning, is adopted by many studies, and recent research in urban logistics has been growing rapidly. Potential directions for future research are also presented.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Qingyi Wang et al.
Summary: In this study, a two-stage stochastic emergency supply planning model is proposed to facilitate cooperation and coordination in a regional healthcare coalition. Through comparison models and a case study, the effectiveness and benefits of the model are demonstrated, providing managerial insights and policy suggestions. The importance of integrated management of emergency supply prepositioning, transshipment, and procurement in the regional healthcare coalition is emphasized.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Engineering, Marine
Min Tang et al.
Summary: This study established a mixed-integer linear programming model for the continuous berth allocation and quay crane assignment problem and proposed a large neighborhood search algorithm and discretization strategy to improve the efficiency of solving the problem. Numerical results showed that the algorithm can effectively optimize solutions for small-scale instances.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Economics
Tanmoy Kundu et al.
Summary: Emergency logistics management has gained significant importance due to global disasters, and this paper provides a review of papers published in Transportation Research Part E (TR-E) in this field. It highlights the impact, topics, and methodological reach of the journal, as well as proposes future research topics and the need for an integrated and intelligent disaster management framework.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Multidisciplinary
Yuchen Li et al.
Summary: This study proposes a scenario-based model considering the correlation between primary and secondary disasters, making emergency relief operations more challenging. An accelerated Benders decomposition algorithm and an approximation method using worst-case scenarios are formulated to enhance computational tractability. The computational study shows that considering secondary disasters can significantly improve demand satisfaction.
ENGINEERING OPTIMIZATION
(2021)
Article
Engineering, Industrial
Sube Singh et al.
Summary: The deadly COVID-19 outbreak has not only taken lives and crippled the economy, but it has also disrupted supply chains across various sectors. The study reveals challenges in matching supply and demand in food supply chains during the pandemic, emphasizing the importance of resilient supply chains in times of crisis. The proposed simulation model aims to develop a responsive and robust food supply chain network to adapt to changing demands and travel restrictions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Engineering, Manufacturing
Mengshi Lu et al.
Summary: In recent years, robust optimization has made significant progress in operations management, addressing issues such as model uncertainty. There are many research opportunities and challenges to be explored in the future.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Review
Management
Claudia Paciarotti et al.
Summary: The survey conducted among 227 humanitarian professionals revealed the widespread recognition of the need for standardization in humanitarian logistics, especially in critical areas such as procurement, distribution, medical logistics, and logistics planning. Standardization is seen as crucial for improving cooperation among different humanitarian actors, ultimately leading to better service provision for beneficiaries.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
Ming Yang et al.
Summary: The study introduces a distributionally robust optimization model for multi-period dynamic pre-positioning of emergency supplies, addressing uncertainties in pre-positioning decisions before disasters occur and describing the distribution family with historical information. The model develops computationally tractable safe approximations of chance constraints, enabling accurate predictions of uncertain demands.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Computer Science, Artificial Intelligence
Behzad Mosallanezhad et al.
Summary: This paper develops a multi-objective, multi-product, and multi-period model aiming to optimize total cost and shortage for personal protection equipment demands satisfaction in response to the COVID-19 outbreak. Through validation and testing, the study demonstrates the feasibility and value of the model and algorithms for practical application, and statistical analysis concludes on their utility and effectiveness.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Wan Fang et al.
Summary: This paper investigates the emergency material scheduling problem and proposes a solution based on ant colony optimization, demonstrating its effectiveness through experiments.
APPLIED SOFT COMPUTING
(2021)
Editorial Material
Engineering, Industrial
Alexandre Dolgui et al.
Summary: The ripple effect is a specific area in supply chains that has a strong impact on supply chain resilience. Research shows how disruptive events spread through the supply chain and affect its resilience and performance. In recent years, research on ripple effect management, modeling, and assessment has gained significant interest.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Geosciences, Multidisciplinary
Luis Yanez-Sandivari et al.
Summary: The article presents a comprehensive review of recent literature on humanitarian logistics and disaster response operations, focusing on optimization models, data availability, the dynamic nature of disasters, and multiple objectives. It identifies theories, relevant research methods, and topics for future research, resulting in a multidimensional framework for optimizing humanitarian logistics decisions.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Huali Sun et al.
Summary: This paper presents a bi-objective robust optimization model for strategic and operational response in emergency situations, considering uncertainties in facility location, resource allocation, and casualty transportation plans. The model aims to minimize the sum of ISS for all casualties and total system costs, while maximizing the transport number of casualties and satisfaction of supplies demand. Through robust optimization and case studies based on the Yushu Earthquake, the feasibility and validity of the model is demonstrated, along with sensitivity analyses to balance optimization and robustness.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Review
Engineering, Industrial
Riccardo Aldrighetti et al.
Summary: This paper presents a systematic literature review of quantitative models of SCND under disruption risks in industrial SCM and logistics. The analysis focuses on the costs specifically induced by disruption risks and resilience investments, offering insights from a managerial perspective. Future research directions and open questions are highlighted for further study.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Industrial
Dmitry Ivanov
Summary: The study identifies four adaptation strategies for supply chains during the COVID-19 pandemic and offers a model for analyzing and quantifying the deployment and impact of these strategies. It combines literature analysis, case studies, and quantitative techniques to generalize these strategies and suggests future research directions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Chun Cheng et al.
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
Economics
Ece Sanci et al.
Summary: Being prepared is crucial for government agencies and humanitarian organizations to respond effectively to disasters. The study introduces an integer L-shaped algorithm to solve a two-stage stochastic programming model, which determines the number and locations of emergency response facilities and restoration resources under uncertainty. The algorithm outperforms CPLEX for a larger number of disaster scenarios.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Operations Research & Management Science
Jyotirmoy Dalal et al.
Summary: This study addresses the uncertainties in relief logistics caused by evacuation activities in response to natural disasters. By developing a robust optimization model, the research proposes a threshold time window for relief distribution, taking into account the interaction between evacuation and supply activities. The model provides decision makers with flexibility and can assist in efficient relief distribution.
TRANSPORTATION SCIENCE
(2021)
Article
Operations Research & Management Science
Hasti Seraji et al.
Summary: This study presents a multi-objective mathematical model for integrating humanitarian logistics decisions, aiming to minimize rescue costs by optimizing the location of emergency shelters and coordinating the movement of relief vehicles. Two multi-objective meta-heuristics are used to address the computational complexity of the model, and a comprehensive sensitivity analysis is conducted to study the impacts of key parameters.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Jiaojiao Cheng et al.
Summary: The study focuses on humanitarian relief food distribution, introducing an innovative robust goal programming model to optimize distribution decisions for poor people under uncertain supply and capacity, balancing equity and effectiveness.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Sefika Demirbas et al.
Summary: Research indicates that the inventory in Turkey's container warehouses is not efficiently utilized, and multiple warehouses need to be activated simultaneously to meet beneficiaries' needs. It is recommended to convert three to eight warehouses to an equivalent type to improve efficiency and save costs.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Geosciences, Multidisciplinary
Tamiyo Kondo et al.
Summary: After the 2011 Great East Japan Earthquake and Tsunami, the Japanese government provided safe housing and land in more than 20 cities, which led to rapid urban sprawl and increased risks of landslides and vulnerabilities in mountainous areas. The study revealed the secondary effects of planning interventions, including urban fragmentation both socially and spatially.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Israa Ismail
Summary: This study presents a mathematical model to optimize the allocation of relief resources in emergency situations, considering social and deprivation costs, and using the Rolling Horizon method for solution. Empirical and case study results demonstrate the importance of considering demographic structures and dynamic changes in affected areas.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Economics
Zhoutong Jiang et al.
Summary: In this paper, a reliable multi-type joint-service facility location model is proposed to address the strategic positioning and allocation of emergency responders and/or resources to potential emergency incidents. The model considers the need for cooperative service from multiple types of responder stations, as well as the probabilistic risk of station disruptions. Numerical experiments demonstrate the applicability of the model and provide managerial insights.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Economics
Afshin Kamyabniya et al.
Summary: This paper proposes a fully integrated logistics network for sharing multi-type platelets in disaster relief operations, considering suitability for different types of injuries and the age of platelets. By using Lagrangian relaxation and the augmented epsilon-constraint method, the model efficiently solves the problem and generates a Pareto front for large-scale instances and multiple scenarios.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Economics
Guowei Zhang et al.
Summary: The increasing number and severity of natural and man-made disasters worldwide has led to calls for more precise and effective humanitarian responses. A collaborative truck-and-drone system was developed as a post-disaster assessment tool to optimize routing and maximize the value of information collected.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Geosciences, Multidisciplinary
Eric Gaisie et al.
Summary: This study examines how household capitals shape resilience outcomes by analyzing the dimensions of household capitals in informal settlements in Ghana. The findings reveal complex relationships between household capitals and disaster outcomes, demonstrating different impacts on household resilience.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Review
Management
Monir Sabbaghtorkan et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Management
Phillip R. Jenkins et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2020)
Article
Economics
Rajali Maharjan et al.
SOCIO-ECONOMIC PLANNING SCIENCES
(2020)
Article
Computer Science, Artificial Intelligence
Deepshikha Sarma et al.
APPLIED SOFT COMPUTING
(2020)
Article
Engineering, Manufacturing
Yusen Ye et al.
PRODUCTION AND OPERATIONS MANAGEMENT
(2020)
Article
Economics
Changjun Wang et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Operations Research & Management Science
Narayan Prasad Nagendra et al.
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Operations Research & Management Science
Dmitry Ivanov
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Computer Science, Interdisciplinary Applications
Shuanglin Li et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Engineering, Industrial
Dmitry Ivanov et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Economics
Mina Akbarpour et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Economics
Dmitry Ivanov
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Geosciences, Multidisciplinary
Hossein Baharmand et al.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2020)
Article
Economics
Yuchen Li et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Computer Science, Interdisciplinary Applications
Xuehong Gao et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Computer Science, Interdisciplinary Applications
Erfan Babaee Tirkolaee et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Operations Research & Management Science
Ahmad Mohamadi et al.
OPERATIONAL RESEARCH
(2019)
Article
Operations Research & Management Science
Shuanglin Li et al.
ANNALS OF OPERATIONS RESEARCH
(2019)
Article
Computer Science, Interdisciplinary Applications
Yajie Liu et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Review
Management
Gyongyi Kovacs et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Computer Science, Interdisciplinary Applications
Jianghua Zhang et al.
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Economics
Shaolong Hu et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2019)
Article
Operations Research & Management Science
Meghan Stewart et al.
ANNALS OF OPERATIONS RESEARCH
(2019)
Article
Management
Oscar Rodriguez-Espindola et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2018)
Article
Engineering, Industrial
Kasin Ransikarbum et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2016)
Article
Engineering, Manufacturing
Erica Gralla et al.
PRODUCTION AND OPERATIONS MANAGEMENT
(2014)
Article
Economics
Jiuh-Biing Sheu et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2014)
Article
Economics
Mehdi Najafi et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2013)
Article
Computer Science, Artificial Intelligence
Jiang-Hua Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2012)
Article
Mathematics, Applied
George Mavrotas
APPLIED MATHEMATICS AND COMPUTATION
(2009)
Review
Business
Francois Maon et al.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2009)
Article
Management
D Bertsimas et al.
OPERATIONS RESEARCH
(2004)
