206 results match your criteria Annals Of Operations Research[Journal]

Intelligence customs declaration for cross-border e-commerce based on the multi-modal model and the optimal window mechanism.

Ann Oper Res 2022 Jun 15:1-25. Epub 2022 Jun 15.

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106 Jiangsu China.

This paper aims to study the intelligent customs declaration of cross-border e-commerce commodities from algorithm design and implementation. The difficulty of this issue is the recognition of commodity names, materials, and processing processes. Because the process of recognizing these three kinds of commodity information is similar, this paper chooses to identify the commodity name as the experimental research object. Read More

View Article and Full-Text PDF

COVID-19 vaccine hesitancy: a social media analysis using deep learning.

Ann Oper Res 2022 Jun 16:1-39. Epub 2022 Jun 16.

Department of Information, Operations and Management Sciences, TBS Business School, 1 Place Alphonse Jourdain, 31068 Toulouse, France.

Hesitant attitudes have been a significant issue since the development of the first vaccines-the WHO sees them as one of the most critical global health threats. The increasing use of social media to spread questionable information about vaccination strongly impacts the population's decision to get vaccinated. Developing text classification methods that can identify hesitant messages on social media could be useful for health campaigns in their efforts to address negative influences from social media platforms and provide reliable information to support their strategies against hesitant-vaccination sentiments. Read More

View Article and Full-Text PDF

Dynamic collaborative optimization for disaster relief supply chains under information ambiguity.

Ann Oper Res 2022 Jun 15:1-27. Epub 2022 Jun 15.

La Trobe Business School, La Trobe University, Melbourne, Australia.

Large-scale disasters occur worldwide, with a continuing surge in the frequency and severity of disruptive events. Researchers have developed several optimization models to address the critical challenges of disaster relief supply chains (e.g. Read More

View Article and Full-Text PDF

Two phase algorithm for bi-objective relief distribution location problem.

Ann Oper Res 2022 Jun 16:1-37. Epub 2022 Jun 16.

Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India.

The location planning of relief distribution centres (DCs) is crucial in humanitarian logistics as it directly influences the disaster response and service to the affected victims. In light of the critical role of facility location in humanitarian logistics planning, the study proposes a two-stage relief distribution location problem. The first stage of the model determines the minimum number of relief DCs, and the second stage find the optimal location of these DCs to minimize the total cost. Read More

View Article and Full-Text PDF

Two-stage supply chain inventory management based on system dynamics model for reducing bullwhip effect of sulfur product.

Ann Oper Res 2022 Jun 15:1-19. Epub 2022 Jun 15.

Southwest Petroleum University, Chengdu, Sichuan 610500 China.

Bullwhip effect is prevalent in supply chains, creating supply and inventory risks that affect marketing, supply and production. However, there are limited researches on the optimization of chemical supply chain inventory management. In order to solve the above problem, this paper took the sulfur product supply chain of a sulfur plant as an example, combined with the idea of system dynamics, and systematically studied the inventory control strategy in the distributor-retailer two-level inventory system constituted by the supply chain. Read More

View Article and Full-Text PDF

Data-driven strategies in operation management: mining user-generated content in Twitter.

Ann Oper Res 2022 Jun 10:1-21. Epub 2022 Jun 10.

Universitat Politècnica de València, Valencia, Spain.

In recent years, the business ecosystem has focused on understanding new ways of automating, collecting, and analyzing data in order to improve products and business models. These actions allow operations management to improve prediction, value creation, optimization, and automatization. In this study, we develop a novel methodology based on data-mining techniques and apply it to identify insights regarding the characteristics of new business models in operations management. Read More

View Article and Full-Text PDF

COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lens.

Ann Oper Res 2022 Jun 8:1-22. Epub 2022 Jun 8.

Department of Economics and Centre for Research in Economics and Management (NIPE), University of Minho, Campus of Gualtar, 4710-057 Braga, Portugal.

This study investigates the impact of COVID-19 on the US equity market during the first wave of Coronavirus using a wide range of econometric and machine learning approaches. To this end, we use both daily data related to the US equity market sectors and data about the COVID-19 news over January 1, 2020-March 20, 2020. Accordingly, we show that at an early stage of the outbreak, global COVID-19s fears have impacted the US equity market even differently across sectors. Read More

View Article and Full-Text PDF

Oil price shocks and the term structure of the US yield curve: a time-frequency analysis of spillovers and risk transmission.

Ann Oper Res 2022 Jun 4:1-25. Epub 2022 Jun 4.

Zayed University, P.O. Box 144534, Abu Dhabi, United Arab Emirates.

This paper investigates the influence of oil demand, oil supply, and risk-driven shocks on the yield curve in the US between 1995 and 2020. The US term-structure shape is modeled by three structural factors, the level, slope, and curvature. Their empirical analysis is performed according to the Diebold-Li modified variant of the widely used Nelson-Siegel model. Read More

View Article and Full-Text PDF

Promote or inhibit? Research on the transition of consumer potential purchase intention.

Ann Oper Res 2022 Jun 4:1-20. Epub 2022 Jun 4.

School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China.

A dramatic shift from offline to online has happened in consumer behavior, leading to enterprises ploughing a large number of digital advertisements to capture consumers' attention online. To evaluate the effectiveness of different online advertising, we explore the dynamic impacts of nine different online channels on the transition of consumers' potential purchase intention and the consumer behavior. We use a continuous-time hidden Markov model (CT-HMM) to capture the transfer path of consumers who are affected by various online channels. Read More

View Article and Full-Text PDF

Learnings from COVID-19 for managing humanitarian supply chains: systematic literature review and future research directions.

Ann Oper Res 2022 Jun 8:1-37. Epub 2022 Jun 8.

Liverpool Business School, Liverpool John Moores University, Liverpool, UK.

The COVID-19 pandemic has been experienced as the most significant global disaster after the Spanish flue in 1918. Millions of people lost their life due to a lack of preparedness and ineffective strategies for managing humanitarian supply chains (HSC). Based on the learnings from this pandemic outbreak, different strategies for managing the effective HSC have been explored in the present context of pandemics through a systematic literature review. Read More

View Article and Full-Text PDF

High-dimensional nonlinear dependence and risk spillovers analysis between China's carbon market and its major influence factors.

Ann Oper Res 2022 Jun 4:1-30. Epub 2022 Jun 4.

College of Economics and Management, Northwest A&F University, 3 Taicheng Rd, Yangling, 712100 Shaanxi People's Republic of China.

In July 2021, China began its national emissions trading scheme, marking a new stage of development for the country's carbon market. This study analyzes the multidimensional correlation between carbon prices in the Guangdong pilot market and eight influencing factors from three perspectives (the international carbon market, energy prices, and China's economic situation), using the ARMA-GARCH-vine copula model. The CoVaR between the carbon price and each factor is then calculated using copula-CoVaR. Read More

View Article and Full-Text PDF

Blackout and supply chains: Cross-structural ripple effect, performance, resilience and viability impact analysis.

Dmitry Ivanov

Ann Oper Res 2022 Jun 3:1-17. Epub 2022 Jun 3.

Berlin School of Economics and Law, Department of Business Administration, Supply Chain and Operations Management, 10825 Berlin, Germany.

Increased electricity consumption along with the transformations of the energy systems and interruptions in energy supply can lead to a blackout, i.e., the total loss of power in an area (or a set of areas) of a longer duration. Read More

View Article and Full-Text PDF

Spatial performance analysis in basketball with CART, random forest and extremely randomized trees.

Ann Oper Res 2022 Jun 3:1-25. Epub 2022 Jun 3.

BODaI-Lab, University of Brescia, Brescia, Italy.

This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at representing maps of the court visualizing areas with different levels of scoring probability of the analysed player or team. To do that, we propose the adoption of algorithmic modeling techniques. Read More

View Article and Full-Text PDF

Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis.

Ann Oper Res 2022 May 31:1-40. Epub 2022 May 31.

Fr. Conceicao Rodrigues College of Engineering, Bandra (W), Mumbai, India.

Humanitarian supply chains (HSC) have vital significance in mitigating different disruptive supply chain risks caused due to natural or man-made activities such as tsunami, earthquakes, flooding, warfare, or the recent COVID-19 pandemic. Each kind of disaster poses a unique set of challenges to the operationalization of HSC. This study attempts to determine the critical barriers to the operationalization of HSC in India during the COVID-19 pandemic. Read More

View Article and Full-Text PDF

Malmquist productivity indices and plant capacity utilisation: new proposals and empirical application.

Ann Oper Res 2022 May 30:1-30. Epub 2022 May 30.

International Business School Suzhou, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Rd., Suzhou Industrial Park, Suzhou, 215123 China.

The purpose of this contribution is to compute the popular Malmquist productivity index while adding a component representing plant capacity utilisation. In particular, this is-to the best of our knowledge-the first empirical application estimating both input- and output-oriented Malmquist productivity indices in conjunction with the corresponding input- and output-oriented plant capacity utilisation measures. Our empirical application focuses on a provincial data set of tourism activities in China over the period 2008-2016. Read More

View Article and Full-Text PDF

A robust multi-objective model for healthcare resource management and location planning during pandemics.

Ann Oper Res 2022 May 21:1-48. Epub 2022 May 21.

School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, 311121 Zhejiang China.

In this study, we consider the problem of healthcare resource management and location planning problem during the early stages of a pandemic/epidemic under demand uncertainty. Our main ambition is to improve the preparedness level and response effectiveness of healthcare authorities in fighting pandemics/epidemics by implementing analytical techniques. Building on lessons from the Chinese experience in the COVID-19 outbreak, we first develop a deterministic multi-objective mixed integer linear program (MILP) which determines the location and size of new pandemic hospitals (strategic level planning), periodic regional health resource re-allocations (tactical level planning) and daily patient-hospital assignments (operational level planning). Read More

View Article and Full-Text PDF

Deep Learning-Based Model for Financial Distress Prediction.

Ann Oper Res 2022 May 25:1-23. Epub 2022 May 25.

Faculty of Computers and Information, Mansoura University, Mansoura, Egypt.

Predicting bankruptcies and assessing credit risk are two of the most pressing issues in finance. Therefore, financial distress prediction and credit scoring remain hot research topics in the finance sector. Earlier studies have focused on the design of statistical approaches and machine learning models to predict a company's financial distress. Read More

View Article and Full-Text PDF

Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19.

Ann Oper Res 2022 May 24:1-29. Epub 2022 May 24.

Nottingham University Business School, NG8 1BB Nottingham, UK.

The outbreak of the COVID-19 pandemic has significantly augmented the complexity of information, adding to the challenges that firms face in effectively processing and grasping accurate information. As a result, the production uncertainty of firms has been seriously intensified during the pandemic, disrupting the normal operation of firms and their supply chains. Digital technologies serve as salient tools that help firms to process and analyse information, consequently enhancing firm resilience in the face of supply chain disruptions. Read More

View Article and Full-Text PDF

DIKEDOC: a multicriteria methodology to organise and communicate knowledge.

Ann Oper Res 2022 May 21:1-34. Epub 2022 May 21.

Department of Architecture and Design, Politecnico di Torino, Viale Mattioli 39, 10125 Turin, Italy.

DIKEDOC is a knowledge-based multicriteria methodology that is here proposed to organise dispersed knowledge about a complex problem when a decision process has not yet been activated, or is latent, and to generate an interaction space that produces new knowledge. An integrated use of logical and analytical tools is proposed, first for use at a technical level to organise any dispersed knowledge in a way that generates insights that can be communicated, and then in a participative context, to create an opportunity to interact, share personal points of view and experiences and to explore spaces of action, where such tools facilitate understanding, criticism and proposals. A pilot study was developed, by an interdisciplinary research team, in relation to the enhancement process of the "Ivrea, industrial city of the twentieth century" UNESCO site, which still needs to be activated after a long and complex decision process that led to the inclusion of the site in the World Heritage List. Read More

View Article and Full-Text PDF

Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review.

Ann Oper Res 2022 May 19:1-24. Epub 2022 May 19.

Birmingham Business School, University of Birmingham, Birmingham, UK.

In recent times, the literature has seen considerable growth in research at the intersection of digital innovation, data analytics, and supply chain resilience. While the number of studies on the topic has been burgeoning, due to the absence of a comprehensive literature review, it remains unclear what aspects of the subject have already been investigated and what are the avenues for impactful future research. Integrating bibliometric analysis with a systematic review approach, this paper offers the review of 262 articles at the nexus of innovative technologies, data analytics, and supply chain resiliency. Read More

View Article and Full-Text PDF

Tail risk connectedness in clean energy and oil financial market.

Ann Oper Res 2022 May 15:1-25. Epub 2022 May 15.

Southampton Business School, University of Southampton, Southampton, SO17 1BJ UK.

This research investigates the connectedness and the tail risk spillover between clean energy and oil firms, from January 2011 to October 2021. To this, we use the Tail-Event driven NETworks (TENET) risk model. This approach allows for a measurement of the dynamics of tail-risk spillover for each sector and firm. Read More

View Article and Full-Text PDF

Sustainable competitive advantage in maternal and child health institutions: a dynamic capability approach.

Ann Oper Res 2022 May 10:1-27. Epub 2022 May 10.

ISCTE Business School, BRU-IUL, University Institute of Lisbon, Avenida das Forças Armadas, 1649-026 Lisbon, Portugal.

China's government has always attached great importance to protecting women and children's rights and has made a consistent effort to promote their all-round health. The on-going medical reforms in the country have resulted in a falling birth rate and rising demand for increasingly diversified, multi-level healthcare services. Maternal and child health (MCH) institutions have had to implement more extensive changes and deal with greater challenges in order to survive and develop. Read More

View Article and Full-Text PDF

Financial modeling, risk management of energy and environmental instruments and derivatives: past, present, and future.

Ann Oper Res 2022 10;313(1):1-7. Epub 2022 May 10.

Management Department, Research Center in Engineering and Management, Politehnica University of Timisoara, 300006 Timisoara, Romania.

In this preface, we investigate the past, study the present, and look for the future of financial modeling, risk management of energy and environmental instruments, and derivatives based on articles selected in this special issue (SI). We also summarize the significant findings of those articles and identify the research trends. Read More

View Article and Full-Text PDF

COVID19 epidemic outbreak: operating rooms scheduling, specialty teams timetabling and emergency patients' assignment using the robust optimization approach.

Ann Oper Res 2022 May 10:1-31. Epub 2022 May 10.

Malaviya National Institute of Technology Jaipur, Jaipur, India.

The health care system is characterized by limited resources, including the physical facilities as well as skilled human resources. Due to the extensive fixed cost of medical facilities and the high specialization required by the medical staff, the problem of resource scarcity in a health care supply chain is much more acute than in other industries. In the pandemic of the Coronavirus, where medical services are the most important services in communities, and protective and preventive guidelines impose new restrictions on the system, the issue of resource allocation will be more complicated and significantly affect the efficiency of health care systems. Read More

View Article and Full-Text PDF

Preface: operations research in neuroscience III.

Ann Oper Res 2022 10;312(2):1143-1145. Epub 2022 May 10.

Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland.

View Article and Full-Text PDF

Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions.

Ann Oper Res 2022 May 5:1-45. Epub 2022 May 5.

Organization Engineering Group, School of Engineering, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain.

In this paper, a new responsive-green-cold vaccine supply chain network during the COVID-19 pandemic is developed for the first time. According to the proposed network, a new multi-objective, multi-period, multi-echelon mathematical model for the distribution-allocation-location problem is designed. Another important novelty in this paper is that it considers an Internet-of-Things application in the COVID-19 condition in the suggested model to enhance the accuracy, speed, and justice of vaccine injection with existing priorities. Read More

View Article and Full-Text PDF

Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications.

Ann Oper Res 2022 May 3:1-43. Epub 2022 May 3.

Operations Management & Quantitative Techniques Group, Indian Institute of Management Raipur, Atal Nagar, Raipur, 493661 India.

The year 2020 can be earmarked as the year of global supply chain disruption owing to the outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that supply chain risk assessment (SCRA) has become more critical today than it has ever been. With the number of supply chain risks having increased significantly over the last decade, particularly during the last 5 years, there has been a flurry of literature on supply chain risk management (SCRM), illustrating the need for further classification so as to guide researchers to the most promising avenues and opportunities. Read More

View Article and Full-Text PDF

Quantum Bridge Analytics II: QUBO-Plus, network optimization and combinatorial chaining for asset exchange.

Ann Oper Res 2022 May 2:1-28. Epub 2022 May 2.

Business School, University of Colorado at Denver, Denver, CO 80217 USA.

Quantum Bridge Analytics relates to methods and systems for hybrid classical-quantum computing, and is devoted to developing tools for bridging classical and quantum computing to gain the benefits of their alliance in the present and enable enhanced practical application of quantum computing in the future. This is the second of a two-part tutorial that surveys key elements of Quantum Bridge Analytics and its applications. Part I focused on the Quadratic Unconstrained Binary Optimization (QUBO) model which is presently the most widely applied optimization model in the quantum computing area, and which unifies a rich variety of combinatorial optimization problems. Read More

View Article and Full-Text PDF

Optimization methods for large-scale vaccine supply chains: a rapid review.

Ann Oper Res 2022 Apr 30:1-23. Epub 2022 Apr 30.

HEALTH-Engine Laboratory, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL USA.

Global vaccine revenues are projected at $59.2 billion, yet large-scale vaccine distribution remains challenging for many diseases in countries around the world. Poor management of the vaccine supply chain can lead to a disease outbreak, or at worst, a pandemic. Read More

View Article and Full-Text PDF

Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America.

Ann Oper Res 2022 May 2:1-43. Epub 2022 May 2.

School of Management, Hebei University, Baoding, 071002 Hebei China.

The emerging information and communication technologies (ICT) related to Industry 4.0 play a critical role to enhance supply chain performance. Employing the smart technologies has led to so-called smart supply chains. Read More

View Article and Full-Text PDF