Article
Economics
Mingyao Qi, Ying Yang, Chun Cheng
Summary: In this study, a service-oriented location and inventory pre-positioning problem (LIPP) under uncertainties is explored. A two-stage robust optimization framework is proposed, and two algorithms are developed to solve the problem. Simulation results and a case study reveal that both algorithms provide satisfying solutions and offer managerial insights.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Economics
Mahnaz Sheikholeslami, Naeme Zarrinpoor
Summary: In this paper, a possibilistic location-allocation model is proposed for designing a multi-period bi-objective humanitarian logistics network. The model aims to reduce total cost and maximize network coverage. It considers perishable relief item inventory management, flow of affected and wounded people, and categorization of wounded people based on injury severity. The uncertainty associated with key parameters is addressed using a fuzzy chance-constrained programming method. The proposed model is validated through test problems and a real-life case study.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Economics
Lihong Cheng, Xiaolong Guo, Xiaoxiao Li, Yugang Yu
Summary: Emerging advanced technologies allow logistics service providers to offer supply chain services beyond just shipping, such as inventory management. This study investigates a preventive transshipment system led by a logistics service provider, where the provider serves as the decision-maker and provides optimal ordering and transshipment policies for online retailers. The results demonstrate that implementing this system can significantly increase the total profit for both the retailer and the logistics service provider.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Review
Engineering, Manufacturing
Mengshi Lu, Zuo-Jun Max Shen
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)
Article
Computer Science, Interdisciplinary Applications
Fatima Ezzahra Achamrah, Fouad Riane, Christine Di Martinelly, Sabine Limbourg
Summary: This paper addressed a two-level supply chain with a multi-product, multi-vehicle inventory sharing routing problem, and proposed a two-phase matheuristic to solve it. The study showed the significant benefits of inventory sharing on the overall supply chain.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Management
Duo Wang, Kai Yang, Lixing Yang, Shukai Li
Summary: This paper discusses the strategic and operational decisions in disaster relief logistics planning, including facility location, inventory pre-positioning, and vehicle routing. It proposes an effective lateral transshipment strategy to evenly distribute relief resources between warehouses. A risk-averse two-stage distributionally robust optimization (DRO) model is developed to handle demand uncertainty. The model is transformed into a linear mixed-integer programming model for computational tractability. The results show the advantage of the proposed DRO model over the traditional robust optimization model and demonstrate its applicability in a real-world case study.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Management
Okan Dukkanci, Achim Koberstein, Bahar Y. Kara
Summary: This study introduces a post-disaster delivery problem that utilizes drones under uncertainty, focusing on distributing essential relief items to victims gathered at assembly points after a disaster, specifically an earthquake. As roads may become impassable after an earthquake, drones serve as the primary mode of transportation. Considering the unpredictability of earthquake impacts, this study takes into account uncertainties in demand and road networks. Through stochastic programming and scenario decomposition algorithms, the objective is to minimize unsatisfied demand while meeting time constraints, range limitations, and capacity restrictions of the drones. A case study conducted in Istanbul, Turkey, evaluates the scenario decomposition algorithm's performance and analyzes the value of stochasticity and expected value of perfect information under various parametric settings. Sensitivity analyses are also performed by varying key problem parameters such as time constraints and drone capacities.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Economics
Yusheng Wang, Zhijie Sasha Dong, Shaolong Hu
Summary: This paper discusses how to address uncertainties in disasters by considering lateral transshipment opportunities for pre-positioning relief supplies. A two-stage stochastic programming model is used to decide on relief facility locations and supply allocations to demand nodes, taking into account different damage levels caused by disasters. A real-world case study in the Gulf Coast region of the United States demonstrates the cost-effectiveness and flexibility of lateral transshipment solutions compared to direct shipment solutions. Sensitivity analysis on out-of-stock penalty cost and maximum travel distance provides managerial insights for relief agencies.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Management
Riki Kawase, Takamasa Iryo
Summary: The timely distribution of relief goods is crucial for alleviating human suffering in affected areas. This paper investigates the performance of multi-echelon humanitarian logistics networks in delivering relief goods based on predicted demand during natural disasters. An approximate solution to the optimal inventory-distribution strategy is derived, and numerical validations confirm its optimality and practical applicability. The findings identify conditions in which conventional multi-echelon networks are not suitable for push-mode strategies and propose an alternative network structure.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Marine
Weverton Cabral, Pedro Lameira, Andre Araujo
Summary: Transshipment operations are in high demand worldwide, especially in the Amazon. In Brazil, these operations are handled through temporary use contracts. An adaptation of a method for fatigue analysis is proposed, using computational modeling and simulation to estimate the useful life of the structural component. The results show that regular loads can ensure a useful life of 7.66 years.
Article
Computer Science, Information Systems
Xuan Ji, Shige Peng, Shuzhen Yang
Summary: Imbalanced binary classification is addressed in this paper by introducing two novel methods that modify predicted probabilities with additional uncertainty estimations. Experiments on simulated and real-life datasets show that our proposed methods outperform existing approaches in common evaluation metrics, particularly in minority class accuracy.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Cybernetics
Sara Nodoust, Mir Saman Pishvaee, Seyed Mohammad Seyedhosseini
Summary: The research explores the complexity of demand uncertainty in distributing relief items after earthquakes through a robust scenario-based possibilistic-stochastic programming model. Results demonstrate a significantly higher demand satisfaction level compared to traditional scenario-based stochastic programming models.
Article
Engineering, Industrial
Guodong Yu, Aijun Liu, Huiping Sun
Summary: Proactive ambulance management through dynamic optimization and flexible operation policy improves response efficiency and reduces delay time for EMS systems. The use of Markov Decision Process and queues optimizes ambulance dispatching, while simulation and risk-averse models enhance operational reliability and provide managerial insights for practitioners. The proposed solution outperforms classic models in reducing delay under uncertain calls, especially during peak hours with high demand for ambulances.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Emel Arikan, Lena Silbermayr, Fuminori Toyasaki
Summary: Procuring relief items and fundraising strategies are crucial in humanitarian logistics. However, budget constraints may lead to a focus on prepositioning, while an effective fundraising mechanism can reduce the need for prepositioned items. Additionally, prepositioning does not guarantee the highest operational effectiveness due to potential loss of fundraising opportunities.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
F. S. Oliveira, Nahim B. Zahur, Fulan Wu
Summary: We examined the issue of petroleum stockpiling in ASEAN and computed the optimal policies for building up and drawing down stocks. By analyzing various factors such as petroleum prices, oil imports and production, and GDP, we determined the effects of different conditions on the optimal policy. Using a stochastic program, we proposed an inter-generational equity rule to calculate the level of inventory in the final states and found that developing a strategic petroleum reserve would bring significant benefits to ASEAN countries, with net benefits ranging from US$25-125 billion. Our suggested target stockpile aligns with the International Energy Agency's recommendation.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Economics
Wanfang Shen, Yufei Liu, Guanjiang Wan, Jianing Shi, Wenbin Liu
Summary: Performance evaluation is crucial for managing and allocating resources in higher education institutions (HEIs) and guiding their development. However, the issue of academic misconduct (AM) as an undesirable output in research assessments is often overlooked. This study proposes incorporating AM into the evaluation system and finds that it plays an increasingly prominent role in research efficiency evaluation of HEIs.
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
Article
Economics
Besma Belhadj
Summary: This article proposes a fuzzy alternative approach to classical multiple regressions, aiming to analyze the impact of various factors on poverty in the MENA region. The study estimated and analyzed the effect of annual GDP growth rate, unemployment rate, inflation rate, and annual population growth rate on poverty.
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
Article
Economics
Congxian He, Can Zhou, Huwei Wen
Summary: This study evaluates the impact of the Old Revolutionary Development Program (ORDP) on the consumer welfare of rural residents in China. The results indicate that the implementation of the ORDP plays a significant role in improving the consumer welfare of rural residents, especially by increasing local fiscal expenditure and narrowing the income gap between urban and rural areas.
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
Article
Economics
Han Zhang, Jinhui Zheng, Ahmed Imran Hunjra, Shikuan Zhao, Elie Bouri
Summary: By examining the impact mechanism and threshold effect of urban land use efficiency (ULUE) on resources and environment carrying capacity (RECC), this study finds that improving ULUE can enhance RECC and plays an important role in the rationalization and advancement of industrial structure. The study also reveals significant differences in the impact of ULUE on RECC across regions, periods, administrative levels, and resource endowments.
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
Article
Economics
Karahan Kara, Galip Cihan Yalcin, Avni Zafer Acar, Vladimir Simic, Serkan Konya, Dragan Pamucar
Summary: This research assesses Turkey's sustainable competitiveness position relative to its neighboring countries and provides recommendations for strategies aimed at improving sustainable competitiveness.
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
Article
Economics
Federico Fantechi, Ugo Fratesi
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
Article
Economics
Maansi Gupta, Nomesh B. Bolia
Summary: This study aims to identify and prioritize factors that influence judicial performance in Indian courts and provides policy intervention recommendations based on key insights derived from the results. The findings indicate that organizational and procedural factors are the most significant, with complexity associated with judicial procedures being the highest ranked factor.
SOCIO-ECONOMIC PLANNING SCIENCES
(2024)
