Article
Management
Maryam Dehghani, Babak Abbasi, Fabricio Oliveira
Summary: The study analyzes how a proactive transshipment policy can help avoid future shortages and reduce wastage in blood supply chains, with significant cost savings and potential benefits shown in comparison experiments.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Yufeng Zhou, Tiange Zou, Changshi Liu, Hongxia Yu, Liangyong Chen, Jiafu Su
Summary: This paper investigates the dynamic decision-making problem of blood supply chain under blood shortage conditions, proposing a blood collection decision-making method based on the EWA strategy. Models for blood transshipment and allocation planning are established, and a DESS framework is designed for simulation experiments. The results show that safety stock, target stock level, and demand fluctuation range have significant impacts on the control effect of blood inventory.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Yuan Xu, Joseph Szmerekovsky
Summary: This paper presents a multi-stage stochastic optimization model for a multi-echelon platelet supply chain, considering transshipment, demand uncertainty, stock age information, two types of supply, and three types of patients. The model proves effective in handling random daily demand and shows that transshipment can improve system cost efficiency. Sensitivity analysis suggests recruiting more donors and maintaining suitable inventory levels as efficient strategies. Additionally, implementing a FIFO issuing policy is not necessary for optimal performance.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Mohammad Reza Ghatreh Samani, Seyyed-Mahdi Hosseini-Motlagh
Summary: Efficient planning is crucial for coordinating and matching supply and demand in blood networks to minimize wastage and shortage. This study proposes a novel coordination mechanism using reactive transshipment between HBBs and CBB, which can effectively reduce wastage and shortage in the platelet network compared to non-coordinated policies.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Management
Reza Azad Gholami, Leif Kristoffer Sandal, Jan Uboe
Summary: This paper investigates a decentralized supply channel where a manufacturer and a retailer compete in a multi-period discrete time setting, addressing uncertain demand through dynamic channel optimization. The paper proposes solution algorithms and theorems that highlight the benefits of postponement strategies for the follower and potential harm for the manufacturer in a decentralized channel.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Nayeon Kim, Benoit Montreuil, Walid Klibi
Summary: This paper addresses the problem of inventory availability commitment (IAC) for dropshippers at the operational decision level, proposing three commitment policies and modeling the problem as a two-stage stochastic program. The experimental results on a case study indicate that the penalty-driven fillrate policy is the dominant policy for dropshippers, and overpromising has the greatest impact under lean availability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Selmen Boubaker, Zied Jemai, Evren Sahin, Yves Dallery
Summary: This paper proposes a quantitative approach to evaluate and improve supply chain agility and develops a model to simulate the flow of information and physical goods in different situations. A numerical study is presented and interesting insights from real-life applications are discussed.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Hossein Shirazi, Reza Kia, Peiman Ghasemi
Summary: The study proposed a four-echelon supply chain to address the plasma demand for COVID-19 patients, and utilized various algorithms to solve the bi-objective optimization problem. The research also focused on the system dynamic structure of COVID-19 outbreak and the importance of blood substitutability for timely access to blood.
APPLIED SOFT COMPUTING
(2021)
Article
Energy & Fuels
Oseok Kwon, Jeehoon Han
Summary: This study developed a stochastic model for strategic planning of the butyric acid-to-butanol supply chain network, which was validated through a case study in South Korea for the year 2030, showing the stochastic model's superior performance in optimizing total cost.
Article
Computer Science, Artificial Intelligence
Antonio A. C. Vieira, Jose Rui Figueira, Rui Fragoso
Summary: Sustainable Supply Chain Network Design (SCND) is a complex challenge that requires trade-offs and integration of risk management. This study proposes a Simulation-Based Decision Support System (SBDSS) and analyzes different wine Supply Chain (SC) configurations under risk and sustainability objectives. The results show that the proposed method provides a set of Pareto-front solutions considering sustainability and risk.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Mathematics, Interdisciplinary Applications
Jiepeng Wang, Hong Zhou, Xiaodan Jin
Summary: By using epidemic model to study supply chain risk transmission, we found the risk transmission in a supply chain network has a threshold and is influenced by multiple factors. The heterogeneity of network affects the risk transmission threshold and scale, which is of significant importance for supply chain risk management.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Green & Sustainable Science & Technology
Naimur Rahman Chowdhury, Mushaer Ahmed, Priom Mahmud, Sanjoy Kumar Paul, Sharmine Akther Liza
Summary: This study develops a vaccine supply chain (VSC) to ensure sustainable distribution during a global crisis in a developing economy. The model considers multiple objectives, including minimizing cost, GHG emissions, and maximizing job opportunities. Two metaheuristics are used to solve the model, and the TOPSIS model is integrated to prioritize environmental sustainability. The results show that the MOSEO-TOPSIS model performs better than the MOFEPSO-TOPSIS model and can help establish a VSC with enhanced economic, environmental, and social sustainability.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Automation & Control Systems
Laith Abualigah, Essam Said Hanandeh, Raed Abu Zitar, Cuong-Le Thanh, Samir Khatir, Amir H. Gandomi
Summary: This paper reviews the application of metaheuristics in optimizing sustainable supply chain management. It explores the potential of metaheuristics to improve the sustainability, efficiency, and competitiveness of the supply chain. The paper provides an overview of sustainable supply chain management principles and challenges, introduces the concept of metaheuristics, reviews various algorithms applied in this field, analyzes their effectiveness, and identifies key success factors. It also provides recommendations for future research and highlights the potential of metaheuristics in promoting sustainable supply chain management.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Multidisciplinary
Meimei Zheng, Ningxin Du, Hui Zhao, Edward Huang, Kan Wu
Summary: In response to the increasing competition in the pharmaceutical industry, this study focuses on improving the efficiency of clinical trial supply chains to reduce drug supplying costs. The research investigates inventory levels and allocation problems, proposing a stochastic mixed-integer model and algorithm for optimization. Several structural results and strategies are derived to enhance the effectiveness of the process.
APPLIED MATHEMATICAL MODELLING
(2021)
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
Engineering, Industrial
Peng Ma, Yue Meng, Yeming Gong, Mingdu Li
Summary: This research investigates sustainable financing strategies for electric vehicle supply chains, taking into account risk aversion behavior of members and the impact of government subsidies and retailer service levels.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Xianpei Hong, Meiling Zhou, Yeming (Yale) Gong, Wanying Chen
Summary: This study examines the relationship between advertising structures in a supply chain and asymmetric quality information disclosure. The findings suggest that when cooperative advertising is more effective, the manufacturer should adopt manufacturer advertising and advertising can promote quality information disclosure. Additionally, cooperative advertising benefits the manufacturer, retailer, and consumers.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Lixu Li, Yeming Gong, Zhiqiang Wang, Shan Liu
Summary: This study examines the impact of big data and supply chain integration on supply chain performance. The authors find that big data analytics technology capability and supply chain integration have a mediating effect on supply chain performance, and they can help firms develop different levels of capabilities to survive and improve performance in the context of COVID-19.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Hongyi Mao, Yeming Gong, Ryad Titah
Summary: This study presents a theoretical framework to examine the relationship between IT capability and operational agility. Findings suggest that there is complementarity between IT infrastructure and IT reconfiguration, while there is substitutability between IT coordination and IT integration.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Xianpei Hong, Yeming Gong, Yacine Rekik, Qing Li
Summary: This study contributes to the existing research on the impact of information sharing on competition in the supply chain by examining public and private information sharing under different supply chain structures. Using a game-theoretic framework, the study analyzes the profits of suppliers under scenarios of public-public and public-private information sharing, and compares the expected profits to understand the effects of information sharing on competition. The findings show that public information sharing enhances competition while private information sharing mitigates competition, and that suppliers with low-quality products are willing to share private quality information when the quality difference is low. It is also discovered that private information sharing results in a win-lose outcome, where one supplier earns higher profits compared to public information sharing while another supplier earns lower profits. Additionally, only under the scenario of public-private information sharing can suppliers adopt the indirect-direct channel structure.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Chengzhang Ni, Jun Yang, Zezhao Pang, Yeming Gong
Summary: In this study, a weighted gravity centrality measure is proposed to quantify individual influence in multilayer networks, taking into account an individual's neighborhood size and social distance between individuals. Simulation experiments demonstrate that the proposed centrality measure outperforms two commonly used measures in weighted multiplex networks in terms of influence coverage and diffusion acceleration for different seeding strategies.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Operations Research & Management Science
Bingnan Yang, Xianhao Xu, Yeming Gong, Yacine Rekik
Summary: This study investigates the inventory replenishment and financial decisions of sellers, as well as the interest rate decisions of lenders in online retailing platforms, using data-driven optimization. Two novel data-driven game-theoretic approaches are proposed to optimize inventory replenishment and financial decisions for sellers who receive financial support from the online platform. A data-driven game-theoretic model is also proposed to optimize the interest rate for the online platform considering market potential.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Lin Wang, Sirui Wang, Yeming Gong, Lu Peng
Summary: This paper investigates a supply network design problem for cross-border e-commerce, focusing on determining the location decisions of regional distribution centers and the inventory decisions for coordinated replenishment and delivery. The problem is formulated as a mixed-integer non-linear program and solved using a Lipschitz optimization algorithm and an iterative heuristic. The study also proposes a tight lower bound and analyzes the influence of integrated decision making and capacity constraints. The results highlight the importance of capacity constraints for regional distribution centers and provide insights for a company's investment plan.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Review
Business
Liuxin Zou, Jiang Wu, Yeming Gong, Mingyang Chen, Mengchen Xia
Summary: This study utilizes bibliometrics to classify the main stakeholders in the sharing economy and proposes a multi-level framework to study their optimization decisions and key influencing factors. Pricing, behavioral characteristics, operating strategies, and incentive methods of stakeholders significantly affect optimal decisions and models. Multi-party interaction plays a crucial role in stakeholders' decision-making behavior.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Industrial
Xinxin Ren, Yeming Gong, Yacine Rekik, Xianhao Xu
Summary: In this study, a forecasting-optimisation integrated approach is introduced for optimising multi-items' inventories in pickup points based on big data analysis. The results show that the proposed approach effectively increases profits, especially with the novel algorithm performing better. Additionally, it is found that emergency shipment has a more significant advantage when the pickup point is farther from the warehouse, but the mixture of anticipatory and emergency shipping can contribute to higher profits for online retailers.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Mingyang Chen, Yeming Gong
Summary: While traditional product-sharing models focus only on profits, this study explores a green-sharing mode that combines profitability with environmentally friendly services. The study analyzes pricing optimization problems in both the traditional and green modes, as well as the impact of green service implementation on stakeholders. It is found that providers consistently benefit more from the green mode. The study also reveals that the profitability of the green mode depends on various factors, such as consumer preferences and cost differentials, and a contract is proposed to ensure all stakeholders benefit under the green mode when consumers have green preferences.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
Chaohong Xie, Yeming Gong, Xianhao Xu, Chung-Yean Chiang, Qian Chen
Summary: This study investigates the impacts of return channel type on the relationships between return service quality (RSQ) and customer loyalty (CL) in an omnichannel retailing environment. The findings suggest that omnichannel customers may feel more satisfied due to higher omnichannel fulfillment (responsiveness and convenience) and omnichannel trust (transparency and competence) provided by retailers. Return channel type moderates the relationship between RSQ-convenience and CL.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Engineering, Industrial
Yanting Huang, Yuqing Liang, Yeming Gong, Zhe Yuan
Summary: This study focuses on the research questions of online platforms and the collection of waste electric and electronic equipment, highlighting the impact of trust-building on the optimal strategy in the recycling platform. Consumers need to consider the price and credibility in the product recycling process. The study finds that trust-building can effectively increase revenue for the online recycling platform, especially in the centralized model. It provides decision support for optimal strategies under different decision-making models, helping the recycling platform improve mechanism design and make optimal decisions considering trust-building.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Bipan Zou, Siqing Wu, Yeming Gong, Zhe Yuan, Yuqian Shi
Summary: This study focuses on a novel locker-drone delivery system, optimising the network design to minimise operating costs by determining the location of lockers, the number of drones at each locker, and the assignment of demands to lockers. Two types of drones are examined, and an algorithm is designed to address demand uncertainty. Results show the cost-saving advantage of the locker-drone system compared to a conventional drone delivery system.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Qian Chen, Yumeng Wang, Yeming Gong, Shan Liu
Summary: This study investigates the impact of algorithmic price discrimination on consumer loyalty and finds that it negatively influences perceived platform ethics and corporate social responsibility, thereby reducing loyalty. The effect is more pronounced for consumers with high price sensitivity and initial trust.
JOURNAL OF BUSINESS RESEARCH
(2023)
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)
