Review
Transportation
Rajali Maharjan, Hironori Kato
Summary: This study provides a comprehensive review of recent literature on resilient supply chain network design (RSCND), exploring and analyzing different resilience measures used in the literature and the benefits of incorporating them in supply chain network design. Although only a limited number of studies were found, this topic has great potential for future research.
Article
Engineering, Industrial
Mohammad Shafiee, Yahia Zare Mehrjerdi, Marzieh Keshavarz
Summary: This study investigates the effects of integrating lean, resilient, and sustainable practices in the supply chain network using a new multi-objective mixed-integer programming approach. The results demonstrate a synergistic effect among leanness, resilience, and sustainability in enhancing competitiveness, with sustainable backup supplier selection boosting the synergy among these three concepts.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2022)
Article
Green & Sustainable Science & Technology
Nadia Di Paola, Silvia Cosimato, Roberto Vona
Summary: Supply chains are becoming more global but face increasing threats to continuity from disruptive events. Resilience-oriented policies and strategies have been enacted to ensure survival and growth. This study explores the individual and combined effects of engineering and socio-ecological approaches to long-term sustainability of supply chains. The findings reveal fragmented institutional communication regarding resilience and sustainability, despite synergy among actors in developing a framework for enhancing supply chain resilience. This study provides empirical insights into the relationship between resilience and sustainability, offering strategic approaches for companies to react to unexpected events.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Ahmed Mohammed, Morteza Yazdani, Amar Oukil, Ernesto D. R. Santibanez Gonzalez
Summary: Building a resilient supply chain to potential disruptions is a crucial concern for decision makers. This study develops an efficient supplier selection approach based on a new holistic framework, identifying key resilience pillars and traditional business criteria through thorough literature review and experts' opinions. Trust is found to be the most important criterion, followed by cost, while geographical location is the least important. The results also show strong correlation among different methods used to verify the suppliers' ranking.
Article
Operations Research & Management Science
Joao Pires Ribeiro, Ana Paula F. D. Barbosa-Povoa
Summary: Supply Chain Management is constantly evolving, and Supply Chain Resilience (SCR) is a recent concept that has emerged from changes in business practices. However, there is still limited research on how to model and quantify SCR behavior. This study proposes a new resilient supply chain metric that is incorporated into an optimization model to maximize economic and responsiveness objectives. A case study is conducted to analyze the impacts perceived by downstream customers and to demonstrate the correlation between SC performance and the new SCR metric.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Mohamed R. Salama, Ronald G. McGarvey
Summary: This paper investigates the design and management of supply chains during a global pandemic, proposing a stochastic mixed integer linear programming model to evaluate the SC designs under different pandemic scenarios by maximizing the conditional value at risk (CVaR) of the SC profit. The study also explores the impact of SC network expansion on meeting demand and the effects of diversifying network node locations on SC performance. The paper provides managerial insights for SC planners to guide viable designs and management plans.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
A. Bakhtiari Tavana, M. Rabieh, M. S. Phishvaee, M. Esmaeili
Summary: This study aims to select a set of resilient suppliers and ensure optimal demand allocation in an automotive supply chain. The proposed model and method consider the delivery performance of suppliers and reduce the number of disruption scenarios. The research results indicate that contingency planning and supply chain regionalization can reduce the risk of supply chain disruption.
Article
Computer Science, Interdisciplinary Applications
Seyed Mohammad Gholami-Zanjani, Mohammad Saeed Jabalameli, Mir Saman Pishvaee
Summary: A novel bi-objective stochastic model is developed in this research for meat inventory planning, with two resiliency strategies embedded. The results indicate that resilient solutions can improve network performance and are sensitive to throughput capacity and lead-time. Trade-off interactions between the objectives provide managerial insights.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Shaohua Song, Elena Tappia, Guang Song, Xianliang Shi, T. C. E. Cheng
Summary: This study aims to optimize supplier selection and demand allocation decisions for omni-channel retailers in order to achieve supply chain resilience. It proposes a two-phase approach that takes into account various factors such as supplier evaluation and demand allocation.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Engineering, Industrial
Florian Wissuwa, Christian F. Durach, Thomas Y. Choi
Summary: The selection of suppliers has a long-term impact on the performance of the buying firm. This study explores the previously unnoticed criterion of supplier complexity and its relationship with buyer disruptions. The results suggest that complex suppliers, both internally and in collaboration with other suppliers, increase the number of disruptions experienced by the buyer, although a high degree of supplier dependence can dampen this effect.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Automation & Control Systems
Sina Nayeri, Mohammad Amin Khoei, Mohammad Reza Rouhani-Tazangi, Mohssen GhanavatiNejad, Mohammad Rahmani, Erfan Babaee Tirkolaee
Summary: This study focuses on the Supplier Selection and Order Allocation Problem (SSOAP) and incorporates the concepts of responsiveness, sustainability, and resilience. It proposes a Multi-Stage Decision-Making Framework (MSDMF), which incorporates a novel decision-making approach called the Stochastic Fuzzy Best-Worst Method (SFBWM), a Multi-Objective Model (MOM), a data-driven Fuzzy Robust Stochastic (FRS) optimization approach, and the developed Chebyshev Multi-Choice Goal Programming with Utility Function (CMCGP-UF). The research also considers the significance of the Medical Equipment (ME) industry, particularly during the COVID-19 pandemic. The outcomes reveal the importance of criteria such as agility, cost, GHG emission, quality, robustness, and Waste Management (WM), as well as the impact of demand and disruptions on sustainability measures.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Green & Sustainable Science & Technology
Roya Ghamari, Mohammad Mahdavi-Mazdeh, Seyed Farid Ghannadpour
Summary: This study presents a framework for evaluating suppliers in the steel industry, utilizing various methods for supplier ranking. Comparative analysis shows that taking resilience criteria into account alters supplier ranking results, providing important insights for managers.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Computer Science, Interdisciplinary Applications
Ana Paula Barbosa-Povoa, Jose M. Pint
Summary: This paper presents a framework for supply chain resilience and discusses the main challenges and opportunities in academia and industry. It focuses on industrial gas supply chains impacted by COVID-19, geopolitical instability, and the increasing availability of renewable energy sources for the hydrogen value chain.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Engineering, Industrial
Jafar Namdar, S. Ali Torabi, Navid Sahebjamnia, Ninad Nilkanth Pradhan
Summary: This paper proposes a novel framework for designing a resilient supply chain network to address operational and disruption risks. The framework includes quantifying the resilience score of facilities, identifying critical processes and business continuity metrics, and designing a multi-echelon, multi-product supply chain network model. The model aims to incorporate risk attitudes into the design process and provides useful managerial insights through sensitivity analyses on hypothetical disruptions and risk attitudes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Green & Sustainable Science & Technology
Chetna Chauhan, Manzoor Ul Akram, Jahnavi Patky, Ankur Chauhan
Summary: This study synthesizes existing literature on supply chain resilience and provides a roadmap for creating resilient supply chains. Important themes include supply chain networks and structures, Industry 4.0 and digitalization, innovation and entrepreneurship, capabilities and strategies, supply chain risk management, circular economy, and sustainability. The study emphasizes the role of technologies such as big data analytics, blockchain, and artificial intelligence in enhancing supply chain resilience.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Nafiseh Ghorbani-Renani, Andres D. Gonzalez, Kash Barker
Summary: This study focuses on enhancing the resilience of infrastructure networks against disruptions, by simultaneously reducing vulnerability and increasing recoverability. A tri-level DAD model and decomposition algorithm are proposed to address the issue more efficiently, with practical conclusions drawn from a case study on interdependent infrastructure networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Operations Research & Management Science
Yasser Almoghathawi, Andres D. Gonzalez, Kash Barker
Summary: This paper discusses the interdependencies of infrastructure networks and proposes a multi-objective optimization model to enhance the resilience of the system. The model aims to prioritize the restoration of disrupted components and consider the physical interdependency among them to maximize performance during the recovery process.
NETWORKS & SPATIAL ECONOMICS
(2021)
Article
Engineering, Multidisciplinary
Hannah Lobban, Yasser Almoghathawi, Nazanin Morshedlou, Kash Barker
Summary: This study focuses on the importance of critical infrastructure networks to society, addressing threats from different types of disruptions and proposing a decision-making framework for allocating defensive resources to minimize vulnerability and total cost. By considering various disruption scenarios such as intentional attacks, natural disasters, and random failures, this work aims to achieve more realistic results.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2021)
Article
Computer Science, Interdisciplinary Applications
Nazanin Morshedlou, Kash Barker, Andres D. Gonzalez, Alireza Ermagun
Summary: This study proposes efficient solution methods for solving interdependent restoration planning and crew routing problems, using mathematical models and heuristic algorithms. The computational results from case studies show that the heuristic algorithm can obtain optimal or near-optimal solutions, especially for large scale problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Construction & Building Technology
Buket Cilali, Kash Barker, Andreas D. Gonzalez
Summary: This study aims to assist decision-makers in refugee resettlement planning by proposing a multicriteria facility location and allocation problem. It focuses on significant objectives such as prioritization based on socio-cultural differences and overall success of the resettlement process to improve social resilience of host cities.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Multidisciplinary
Zuyuan Zhang, Sridhar Radhakrishnan, C. R. Subramanian, Kash Barker, Andres D. Gonzalez
Summary: The research focuses on the impact of causal failures on network connectivity, proposing two problems to address network robustness and vulnerability. These problems aim to find the maximum number of causal failures while maintaining a connected component with a given size, and to find the minimum number of causal failures that result in at least k connected components remaining. Both problems are shown to be NP-complete, leading to the development of heuristic algorithms for approximate solutions. Additionally, the performance of the heuristics is compared with integer linear programming through an illustrative example, and the scalability of the algorithms is analyzed through experiments on two other networks.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
G. S. Mahapatra, B. Maneckshaw, Kash Barker
Summary: This study presents modeling of redundancy allocation under hesitant fuzzy environment as a multi-objective problem, using a mathematical framework with consideration of the system's weight and volume restrictions. A sequence of algorithms is presented to illustrate optimal solutions for improving system performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Enze Liu, Kash Barker, Hong Chen
Summary: This research proposes a solution to the evacuation planning problem for stranded passengers during high-speed railway disruptions. By investing in multi-modal transportation and optimizing scheduling, the efficiency of evacuation is improved and risks are reduced. In a real case study, the proposed strategy shows lower risk and cost compared to other strategies, achieving an evacuation equilibrium successfully.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Multidisciplinary Sciences
Alireza Rangrazjeddi, Andres D. Gonzalez, Kash Barker
Summary: Critical infrastructure networks are crucial for a functioning society, but their failure can have widespread consequences. To address the challenges posed by interdependencies, competing interests, and uncertain information in decision-making for these networks, we propose an adaptive algorithm that utilizes machine learning. Our algorithm integrates predictions about other decision-makers' behavior into network restoration planning, considering an imperfect information sharing environment. The algorithm demonstrates efficiency and performs well in situations where information sharing is incomplete.
Article
Automation & Control Systems
Claudio M. M. Rocco, Destenie Nock, Kash Barker
Summary: Several recent works have presented approaches to planning for the restoration of disrupted network components based on network performance measures. In this paper, we propose an alternative perspective on restoration driven by the impact of inequalities in the restoration process on the entire network. We demonstrate this approach with two networks of different sizes and suggest areas for future research in incorporating the equally distributed equivalent (EDE) measure in comprehensive network restoration studies.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Economics
Deniz Berfin Karakoc, Kash Barker, Andres D. Gonzalez
Summary: This study analyzes the tradeoff between reducing vulnerability and enhancing recoverability in interdependent infrastructure networks with multiple time and budget allocations. It takes into account both the performance of the physical networks and the socially vulnerable communities that rely upon them. The proposed model maximizes the resilience of the interdependent infrastructure networks while minimizing the total cost associated with resource allocation.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Economics
Leili Soltanisehat, Andres Gonzalez, Kash Barker
Summary: This paper proposes a novel multi-objective mixed-integer linear programming model to determine the optimal timing and scale of closure and reopening, aiming to mitigate the economic and epidemiological impact of the pandemic. The research findings suggest that during the planning horizon, closing most states while keeping the majority of industries open results in contrasting effects on the economy and epidemiology.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Operations Research & Management Science
Alireza Rangrazjeddi, Andres D. Gonzalez, Kash Barker
Summary: The popularity of air transportation has led to increased traffic volume in the airspace, resulting in higher chances of conflicts among aircraft. Conflict detection and resolution in air traffic management are challenging tasks due to the dynamic nature of flight plans and the interdependency among pilots' decisions. Reliable decision-making techniques are necessary to deal with these conflicts, and innovative technological developments are essential to assist decision-makers.
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
(2023)
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.
Proceedings Paper
Computer Science, Information Systems
Emma Kuttler, Buket Cilali, Kash Barker
Summary: This study introduces a method for iterative resettlement across multiple planning periods using the TOPSIS technique, considering various criteria such as geographical, cultural, environmental, and capacity factors. The methodology generates a ranked list of destination sites, illustrating changes in source and destination sites in each planning period. Results show greater variation in rankings and higher sensitivity to weights between periods compared to standard TOPSIS, demonstrating potential applicability to long-term multi-criteria location selection problems.
2021 SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM (IEEE SIEDS 2021)
(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)