Article
Computer Science, Information Systems
Stig Rune Sellevag
Summary: This study investigates changes in interdependencies between Norway's mainland industry sectors and their impact on national security. Construction and food industries are crucial for Norway, and disruptions in these sectors could seriously affect national security. Efforts to enhance resilience in agriculture and food industries and to understand the interdependencies between the construction industry and other sectors are recommended.
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION
(2021)
Article
Public, Environmental & Occupational Health
Leili Soltanisehat, Kash Barker, Andres D. Gonzalez
Summary: The COVID-19 pandemic has emphasized the need for a better understanding of mitigation policies at the state and industry level. This article presents a novel multi-objective mixed-integer linear programming formulation to determine the optimal timing of closure and reopening strategies for states and industries.
Article
Geosciences, Multidisciplinary
Muhammad Imran Hanif, Rehman Akhtar
Summary: This paper presents a dynamic model to evaluate the recovery of workforce-interdependent sectors after an earthquake, and assess the social and economic losses caused by workforce disruption. It also provides a risk-based framework to guide policymakers in managing the adverse effects of earthquakes. The model has been applied in the regional sectors of Pakistan and can be generalized to other regions and disaster scenarios.
Article
Public, Environmental & Occupational Health
Joost Santos, Sisi Meng, Pallab Mozumder
Summary: This article develops an integrated economic input-output model using household-level survey data from Hurricane Sandy in 2012 to analyze critical infrastructure failures and economic losses in New Jersey. By combining survey data and modeling, the study estimated an economic loss of $36 billion in the region. The results provide important insights for future disaster preparedness and resilience planning.
Article
Physics, Multidisciplinary
Yan Wang, Shan Gao, Fuzhang Wang
Summary: The increase in global natural disasters, emergencies, and terrorist attacks poses significant challenges to the flexible operation of power grids, making the research on grid flexibility increasingly important. This study creatively uses the node transmission power in the dynamic inoperability input-output model to investigate the resilience measurement of power grids. The study establishes a measurement model and provides a control strategy to improve grid resilience, which is applicable and convenient.
FRONTIERS IN PHYSICS
(2022)
Article
Green & Sustainable Science & Technology
Sho Hata, Keisuke Nansai, Takako Wakiyama, Shigemi Kagawa, Susumu Tohno
Summary: The study developed a low-carbon recovery plan for natural disasters using an inoperability multiregional input-output model. Shifting production activities to low-carbon electric power regions can offset the increase in carbon emissions during disaster recovery, with potential emissions reduction in the transportation and electric power sectors.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Civil
Wenping Xu, Jinting Cong, Lingli Xiang, David Proverbs
Summary: This study introduces a framework for analyzing the vulnerability of key sectors in interdependent infrastructure systems using various models and indicators. The model is applicable to different types of interdependent systems and provides guidance for decision makers dealing with natural disasters.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Yousaf Ali, Jehangir Khan, Muhammad Sabir
Summary: Political uncertainty and protests can have various impacts on an economy. This study investigates the economic impacts of political protests in Pakistan using input-output models. The findings show that sectors closely linked to the manufacturing sector suffer the highest economic losses. The study provides valuable insights for authorities to develop preventive measures and recovery plans.
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES
(2023)
Article
Economics
Yousaf Ali, Muhammad Bilal, Muhammad Sabir
Summary: The study examines the macroeconomic impacts of a transportation strike on the Pakistani economy using the Inoperability Input-Output (IIOM) model. It finds that the financial intermediation sector was the most affected, followed by the food & beverages sector and petroleum, chemical & non-metallic mineral products sector. This research is valuable for policymakers and researchers interested in Input-Output analysis.
RESEARCH IN TRANSPORTATION ECONOMICS
(2021)
Article
Geosciences, Multidisciplinary
Rui Huang, Arunima Malik, Manfred Lenzen, Yutong Jin, Yafei Wang, Futu Faturay, Zhiyi Zhu
Summary: The study reveals that the 2008 Sichuan earthquake caused significant economic and employment losses, especially impacting less developed provinces. The chemical industry and public administration sectors suffered the most severe losses. These findings can inform decision-makers in devising effective solutions for future disaster mitigation strategies.
Article
Geosciences, Multidisciplinary
Huan Liu, Hirokazu Tatano, Subhajyoti Samaddar
Summary: Understanding the process of disaster recovery at the firm level is crucial for minimizing economic losses and maximizing recovery. This study investigates the business recovery process following the 2011 Great East Japan Earthquake, analyzing different industry sectors and their influencing factors. The research findings show that the ability to recover varies significantly among industrial sectors, with non-manufacturing sectors recovering faster than manufacturing sectors. The availability of production inputs also plays a significant role in determining a firm's production capacity recovery.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Economics
Dario Cottafava, Michele Gastaldo, Francesco Quatraro, Cristina Santhia
Summary: This study focuses on the socioeconomic impact of COVID-19 lockdowns, using Italy as a case study. By using an input-output model, the researchers analyze the economic losses and greenhouse gas emissions reductions caused by the restrictions. The study also proposes different scenarios to highlight the utility of the model in policymaking.
ECONOMIC MODELLING
(2022)
Article
Environmental Studies
Sheree A. Pagsuyoin, Joost R. Santos
Summary: Water is a critical natural resource that sustains economic sectors, but climate change and rapid growth threaten water sustainability. The study developed an economic input-output model to assess the impact of water supply disruptions, finding that various economic sectors suffer significant losses during water scarcity. The importance of developing water demand and supply management strategies to enhance regional resilience against droughts was highlighted.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2021)
Article
Environmental Sciences
Yuli Shan, Jiamin Ou, Daoping Wang, Zhao Zeng, Shaohui Zhang, Dabo Guan, Klaus Hubacek
Summary: Global emissions could decrease by 3.9-5.6% over 5 years due to COVID-19, and the interconnected economy means lockdown-related declines reach beyond borders. As countries look to stimulate their economies, how fiscal incentives are allocated and invested will determine longer-term emission changes.
NATURE CLIMATE CHANGE
(2021)
Article
Environmental Sciences
Yanmei Zhang, Zhiwei Li, Kathleen B. Aviso, Xue-Xiu Jia, Peidong Zhang, Raymond R. Tan, Jiri Jaromir Klemes, Fang Wang, Xiaoping Jia
Summary: Industrial parks provide opportunities for Process Integration among different enterprises. Inter-Plant Water Network Integration is an effective strategy for water conservation. This study develops a Vulnerability Assessment Framework to analyze failure propagation in water networks in an industrial park. The results show that the supply-driven Inoperability Input-output Model (IIM) is more suitable for cascading failure analysis of water networks. This work can help identify system vulnerabilities and provide a scientific insight for the development of park-wide water management strategies.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Public, Environmental & Occupational Health
Yue Gurt Ge, Christopher W. Zobel, Pamela Murray-Tuite, Roshanak Nateghi, Haizhong Wang
Summary: This article emphasizes the importance of building interdisciplinary teams for disaster response research, examining three teaming mechanisms and analyzing key data types that require interdisciplinary collaboration using hurricanes as an example. It also highlights the importance of using a data-driven approach to engage multiple disciplines.
Article
Computer Science, Artificial Intelligence
Christopher W. Zobel, Cameron A. MacKenzie, Milad Baghersad, Yuhong Li
Summary: Understanding the resilience of different socio-economic systems is crucial in the face of increasing disruptions. This paper introduces an improved approach for quantitatively measuring system resilience, aiming to support better decision making and highlighting both the advantages and limitations of the method through practical examples.
DECISION SUPPORT SYSTEMS
(2021)
Article
Engineering, Industrial
Milad Baghersad, Christopher W. Zobel
Summary: This paper empirically examines the effects of supply chain disruptions on firms' performance using a new quantitative measure of a disruption's impact, demonstrating that different sized firms and industry sectors exhibit varying amounts of loss in the short term and over an extended period of time after a disruption occurs.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Public, Environmental & Occupational Health
C. Derrick Huang, Milad Baghersad, Ravi S. Behara, Christopher W. Zobel
Summary: This study, utilizing a mathematical model, optimizes investments to mitigate epidemic risks and finds that the optimal proportion of investment for prevention and containment increases when the investment limit goes up or when the network connectivity decreases.
Article
Operations Research & Management Science
Iman Kazemian, S. Ali Torabi, Christopher W. Zobel, Yuhong Li, Milad Baghersad
Summary: This study introduces a supply chain resilience assessment framework that quantifies structural factors and their relationships to different resilience strategies, aiding decision makers in planning more effective resilience improvement actions.
OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Milad Baghersad, Christopher W. Zobel, Paul Benjamin Lowry, Sutirtha Chatterjee
Summary: This study examines the impact of SCDs on firms using organizational learning theory. Results show that an organization's prior experience with similar events decreases the negative influence of future disruptions, while the location of disruption occurrence also affects the severity of future disruptions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Public, Environmental & Occupational Health
Milad Baghersad, Christopher W. Zobel
Summary: This study presents three metrics for evaluating organizational resilience performance against disruptions, and demonstrates the impact of maintaining operational slack and broadening operational scope on resilience through empirical analysis of manufacturing firms.
Correction
Operations Research & Management Science
Iman Kazemian, S. Ali Torabi, Christopher W. Zobel, Yuhong Li, Milad Baghersad
OPERATIONAL RESEARCH
(2022)
Article
Management
Milad Baghersad, Mohsen Emadikhiav, C. Derrick Huang, Ravi S. Behara
Summary: The COVID-19 pandemic has caused a global humanitarian disaster, and geospatial approaches are needed to guide pandemic response policies. This study proposes optimization models and algorithms to identify coordination communities based on people's natural movement, effectively helping communities coordinate pandemic-related policies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Reza Alikhani, Amirhossein Ranjbar, Amir Jamali, S. Ali Torabi, Christopher W. Zobel
Summary: The recent COVID-19 pandemic emphasized the importance of supply chain resilience for business continuity, particularly in retail chains. However, there are challenges in the design of resilient supply chain networks that have received limited attention. This paper proposes a multi-methodological approach, based on resource dependence theory and two-stage stochastic programming, to select the most appropriate resilience strategies considering their synergistic effects and resource constraints. The study also examines the criticality of nodes and network susceptibility in different echelons.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Management
Behnam Malmir, Christopher W. Zobel
Summary: During large-scale outbreaks like the COVID-19 pandemic, governments and aid organizations need to collaborate in providing humanitarian aid. A simulation-based plan is used to address challenges in acquiring relief items, yielding useful managerial insights.
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
(2021)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
