Article
Management
Pietro De Giovanni
Summary: Implementing smart systems in supply chain management can improve efficiency and eliminate error terms, but the costs of implementation may pose challenges. These systems can help better meet consumer demands, but their impact on production and emissions may raise concerns about responsible digitalization.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Joep van den Bogaert, Willem van Jaarsveld
Summary: VMI agreements empower suppliers with autonomy and efficiency in maintaining buyer inventory, exploring different approaches for suppliers to stay within VMI limits, while noting misalignment between supplier and buyer objectives. The research categorizes suppliers into four types based on historical inventory trajectories, and sets tailored inventory limits accordingly. Simulation results suggest that adjusting inventory limits based on supplier types may lead to cost reduction of 4-6% without compromising service levels.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Heris Golpira, Erfan Babaee Tirkolaee, Reza Maihami, Kajal Karimi
Summary: This paper proposes a novel tri-objective robust MILP model for a two-echelon supply chain configuration considering Vendor-Managed Inventory (VMI) policy and Supply Chain Visibility (SCV) under uncertain demand. The objectives are to maximize total visibility, minimize deficient products, and minimize total cost. The LP-metric is used to handle the tri-objectiveness of the model. The results show that the proposed approach successfully establishes robustness by deteriorating the optimal values of the objective functions as the cost of robustness. A sensitivity analysis reveals that uncertainty has the greatest impact on network cost and deficiency of objective functions. The change in the lower visibility threshold parameter has the greatest effect on the SCV function.
EXPERT SYSTEMS WITH APPLICATIONS
(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
Operations Research & Management Science
Reza Lotfi, Mohsen Rajabzadeh, Abolfazl Zamani, Mohammad Sadra Rajabi
Summary: This research focuses on improving supply chain agility through the use of blockchain technology, and considers risk and robustness by incorporating weighted expected value, worst case, and Entropic Value at Risk in the objective function. The findings show that the cost function is reduced when using blockchain technology, and can be increased by adjusting the conservative coefficient and resiliency coefficient.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Milena Bieniek
Summary: Inventory control is a crucial activity in supply chain management, with Vendor Managed Inventory (VMI) and Vendor Managed Inventory with consignment (VMCI) being common techniques. In VMCI, decisions are made in two steps by the vendor and retailer to maximize their expected profits, considering stochastic, additive, and price-sensitive customer demand.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Katherinne Salas-Navarro, Juan M. Romero-Montes, Jaime Acevedo-Chedid, Holman Ospina-Mateus, Whady F. Florez, Leopoldo Eduardo Cardenas-Barron
Summary: This paper proposes a Vendor Managed Inventory model for a three-layer supply chain. It develops a joint optimization model to maximize the benefit function of the supply chain, considering constant deteriorating rates and probabilistic demand rates of retailers. A collaborative approach is taken among the chain members to avoid risks associated with deterioration items.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
F. S. Oliveira, Nahim B. Zahur, Fulan Wu
Summary: We examined the issue of petroleum stockpiling in ASEAN and computed the optimal policies for building up and drawing down stocks. By analyzing various factors such as petroleum prices, oil imports and production, and GDP, we determined the effects of different conditions on the optimal policy. Using a stochastic program, we proposed an inter-generational equity rule to calculate the level of inventory in the final states and found that developing a strategic petroleum reserve would bring significant benefits to ASEAN countries, with net benefits ranging from US$25-125 billion. Our suggested target stockpile aligns with the International Energy Agency's recommendation.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Automation & Control Systems
Navid Mohamadi, Seyed Taghi Akhavan Niaki, Mahdi Taher, Ali Shavandi
Summary: This article explores the complex issue of perishable inventory allocation within a two-echelon supply chain and proposes a deep reinforcement learning approach to tackle the challenges posed by uncertain demands and variable supply conditions. Empirical experiments using real-world data from a blood supply chain affirm the effectiveness of the proposed algorithm in addressing the inventory allocation problem, highlighting its significance in enhancing efficiency and operational excellence in perishable supply chains.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Engineering, Industrial
Davide Castellano, Mose Gallo, Christoph H. Glock
Summary: This paper investigates a single-vendor, multiple-buyer coordinated supply chain under stochastic demand. The problem is finding the production and inventory replenishment policy, production rate, and lead times that minimize the long-run expected total cost per time unit. An optimization algorithm is developed and its performance is compared to a benchmark algorithm based on a commercial solver in a numerical experiment. The experiments also investigate the benefits stemming from the proposed model when compared to models reproducing situations that leverage some or any of the controlled factors.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Biswajit Sarkar, Rekha Guchhait
Summary: Competition in the supply chain business is challenging, with environmental protection being an adjacent issue. Supply chain players follow carbon policies to reduce emissions while maximizing profits, but information asymmetry among players affects supply chain profit. This study develops a green supply chain management with reduced information asymmetry through technology support, and finds that a non-coordination policy is more profitable than a coordination policy.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2023)
Article
Management
Ananth V. Iyer, Aditya Vedantam, Paul Lacourbe
Summary: Manufacturers often make specific or average claims about the recycled content of their products. However, the availability of usable recycled input from local sources is limited and uncertain, and external sources are expensive, so manufacturers need to consider the costs associated with sourcing and inventory. In this paper, a multi-period model is developed to help manufacturers make optimal decisions regarding recycled content claims.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Sandria Weisshuhn, Kai Hoberg
Summary: The study analyzes a Smart Replenishment system utilizing IoT technology, extending the concept of Vendor-Managed Inventory to end consumers. Results show that leveraging point-of-consumption information can significantly enhance replenishment decisions and service levels, improving delivery capacity utilization.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Mahtab Karimpoor, G. Reza Nasiri, Sayyed Ehsan Monabbati
Summary: This paper examines two different scenarios of supply chain management under uncertain conditions, focusing on centralized decision-making and integrated coordination. The study shows that capacity planning plays a critical role in inventory management and cost reduction, while limited access to transport fleet requires effective planning and management measures to mitigate stock-out effects.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Deyan Yang, Jinyong Wang, Dongping Song
Article
Operations Research & Management Science
Wei Xu, Dong-Ping Song
Summary: This paper develops a supply chain model that integrates raw material ordering, production planning, and production capacity decisions. Multiple uncertainties are considered, and mathematical models, simulation tools, and genetic algorithms are used to evaluate and optimize strategies. The study provides insights into the economic benefits of the integrated planning model and its impact on dealing with external uncertainties and disruptions.
OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Dongjun Li, Jing-Xin Dong, Dong-Ping Song, Christian Hicks, Surya Prakash Singh
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2020)
Article
Automation & Control Systems
Wei Zheng, Hua-Fei Huang, Dong-Ping Song, Bo Li
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2020)
Article
Management
Simin An, Bo Li, Dongping Song, Xue Chen
Summary: Green credit financing (GCF) is a financial service provided by banks to encourage green investment, where manufacturers can seek GCF from banks for green upgrades. The study investigates a supply chain system involving a capital-constrained manufacturer and a well-funded supplier, and compares the effectiveness of GCF with traditional trade credit financing (TCF).
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Yanran Li, Bo Li, Dongping Song, Shuang Wu
Summary: This study examines the interaction between a manufacturer's product innovation effort and a retailer's product demonstration level in a dual-channel supply chain under different contract modes. The findings show that the trends and correlations between innovation effort and demonstration level decisions are opposite under the two contract modes. Additionally, certain marketing strategies are preferred under each contract mode, with the potential for both firms to achieve Pareto optimality under the agency contract mode.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Management
Yuanjun Feng, Dong-Ping Song, Dong Li
Summary: Motivated by the practical import free-flow program, this study proposes a new container stacking strategy called Smart Stacking (SS) strategy. By utilizing customer information, the SS strategy aims to create relocation-free stacks. The Storage Location Assignment Problem (SLAP) is addressed, and both the non-split and split variants are investigated. Mathematical models and heuristic algorithms are developed to solve the problems efficiently. The study demonstrates the effectiveness of smart stacking through extensive experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Wei Zheng, Bo Li, Dongping Song
Summary: This study examines the impact of uncertain green regulation and market competition on decision-making in the ocean carrier industry. The findings suggest that due to the joint influence of uncertain regulation and market competition, carriers often face challenges in simultaneously adopting equipment upgrade strategies. Additionally, potential regulation may sometimes lead to optimal outcomes, but in certain situations, sub-optimal outcomes could occur.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Biotechnology & Applied Microbiology
Deyan Yang, Dongping Song, Cunfang Li
Summary: This paper investigates the impact of channel leadership on the development of sustainable supply chain, highlighting tendencies in environmental responsibility decisions of manufacturers and retailers under different leadership roles, and explores the influence of consumer sensitivity on channel leadership.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Economics
Yuanjun Feng, Dong-Ping Song, Dong Li, Ying Xie
Summary: This paper discusses the optimization of service efficiency and fairness in the Stochastic Container Relocation Problem (SCRP) under flexible service policies, incorporating the concept of fairness into the model in two phases.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Review
Transportation
Dongxu Chen, Dongping Song, Zhongzhen Yang
Summary: This paper reviews the literature on the Belt and Road Initiative (BRI) and identifies three main perspectives that influence transport and logistics. The research shows an increasing number of papers with optimistic attitudes towards the BRI since 2013, with authors from non-Chinese affiliations more likely to show pessimistic attitudes. Additionally, the study highlights research gaps and future research directions to promote studies on transport and logistics in the context of the BRI.
MARITIME POLICY & MANAGEMENT
(2022)
Review
Management
Dongping Song
Summary: This paper provides an overview of the container shipping supply chain (CSSC) from a logistics perspective, covering major value-adding segments and discussing planning problems and research opportunities. The challenges of digitalization and decarbonization in CSSC are explained and a pathway to digitalize container shipping is proposed, along with recognizing diverse pathways for shipping decarbonization. This highlights the fragmented nature of CSSC, the importance of digital technologies, and the complexities of decarbonization in the industry.
Article
Business
Nasiru Zubairu, John Dinwoodie, Kannan Govindan, Lise Hunter, Saeyeon Roh
Summary: This study aims to identify and evaluate supply chain strategies that drive financial performance in LNG networks, emphasizing the importance of collaborative strategy. Implementing all supply chain strategies across LNG networks is crucial for optimizing financial outcomes.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2021)
Article
Management
Chang Soo Kim, John Dinwoodie, Saeyeon Roh
Summary: This study aims to identify and develop practical elements of supply chain collaboration in the context of shipping logistics. The research derived constructs and items from existing SCM literature, with input from shipping experts, to create scales applicable in shipping. Content validity of the instrument was ensured through two rounds of Q-sorting and a pilot test, with the final 24 items generated through noteworthy procedures. The developed instrument scales invite further studies on collaboration in shipping logistics and are relevant to other fields and disciplines.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2021)
Article
Economics
Yuanjun Feng, Dong-Ping Song, Dong Li, Qingcheng Zeng
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2020)
