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
Mathematics
Bingbing Cao, Tianhui You, Chunyi Liu, Jian Zhao
Summary: This study investigates pricing policy and coordination conditions in an online-to-offline supply chain considering corporate environmental responsibility and lateral inventory transshipment. Three decision models are developed for centralized decision, retailer Stackelberg game, and manufacturer Stackelberg game. Revenue-sharing contract is used for supply chain coordination, showing different impacts on coordination conditions.
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
Economics
Lihong Cheng, Xiaolong Guo, Xiaoxiao Li, Yugang Yu
Summary: Emerging advanced technologies allow logistics service providers to offer supply chain services beyond just shipping, such as inventory management. This study investigates a preventive transshipment system led by a logistics service provider, where the provider serves as the decision-maker and provides optimal ordering and transshipment policies for online retailers. The results demonstrate that implementing this system can significantly increase the total profit for both the retailer and the logistics service provider.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Physics, Multidisciplinary
Nai-Ru Xu, Jie Cheng, Zheng-Qun Cai
Summary: When constructing a dual-channel distribution system, manufacturers need to address inventory management to ensure supply and reduce costs. Research shows that increased demand uncertainty results in higher inventory levels for both manufacturers and retailers, leading to decreased profits.
FRONTIERS IN PHYSICS
(2021)
Article
Operations Research & Management Science
Bing Lin, Shaoxiang Chen, Rohit Bhatnagar
Summary: In this study, we investigate the joint control of production, inventory, and unilateral transshipment in dual supply chains for fashion and basic products. We develop a model and characterize the optimal policy using a discrete-time finite-horizon stochastic dynamic program. Our findings are extended to multi-product multi-supplier cases, and we propose a heuristic policy based on the structure of the optimal policy. Through analysis and numerical simulations, we demonstrate the value of transshipment and controlled transshipment, as well as the cost reduction achieved by preparing sufficient fabric just in time for in-season production.
NAVAL RESEARCH LOGISTICS
(2023)
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
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
Management
Xi Li, Yanzhi Li, Ying-Ju Chen
Summary: The study examines the effects of strategic inventory in the context of chain-to-chain competition, finding that the role of strategic inventory may be altered or even reversed under such competition. Retailers may increase inventory levels in fiercer competition, intensifying supply chain competition. A prisoner's dilemma can arise in supply chain competition, where manufacturers cannot avoid strategic inventory despite it being potentially harmful.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Fatima Ezzahra Achamrah, Fouad Riane, Christine Di Martinelly, Sabine Limbourg
Summary: This paper addressed a two-level supply chain with a multi-product, multi-vehicle inventory sharing routing problem, and proposed a two-phase matheuristic to solve it. The study showed the significant benefits of inventory sharing on the overall supply chain.
COMPUTERS & OPERATIONS RESEARCH
(2022)
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
Engineering, Manufacturing
Lezhen Wu, Xiaole Wu, Yu Zhou
Summary: This paper investigates the impact of supply disruption risk on inventory decisions and commitment strategies in a two-period supply chain model. The results show that supply risk affects the retailer's inventory holding motivations, with price commitment suppressing inventory holding motivations and inventory commitment suppressing inventory shifting motivations. Additionally, under high cost and risk, only the manufacturer holds inventory, while the retailer does not hold inventory under price commitment.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Christian N. Samuel, Claver Diallo, Uday Venkatadri, Sima Ghayebloo
Summary: This paper proposes an integrated model for the design of a multi-component multi-product closed-loop supply chain, considering economies of scale for processing centers, transshipment of inspected products, and reliability of returned products. The study shows that when products or parts have high reliability, the Inspection, Refurbishment and Disassembly centre capacity can be lower, but when reliability is low, greater capacity is required. In the latter case, economies of scale play a role and transshipment between centers is necessary.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Management
Zihan Zhou, Xinhui Wang
Summary: Small businesses with multiple stocking locations face challenges of high ordering costs and imbalanced inventories. To address these challenges, an inventory system of multiple retailers is considered, where they order together periodically and transship available inventory between retailers. Analytical approaches are provided to evaluate costs and determine optimal order interval, order-up-to level, and timing of transshipment. The findings highlight the optimal order interval, timing of transshipments, and the effectiveness of transshipment in reducing costs.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Pablo Becerra, Josefa Mula, Raquel Sanchis
Summary: This article provides an overview of sustainable inventory management models in supply chains and proposes a roadmap for future research. The study reveals a lack of research on incorporating social sustainability into inventory management in supply chains, while environmental sustainability is a growing research area. Future studies should focus on incorporating uncertainty issues into sustainable inventory management models and integrating economic, environmental, and social sustainability decisions. Additionally, complex models and new algorithms and heuristics should be employed to address these issues effectively.
Article
Engineering, Industrial
Lorenzo Tiacci
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2015)
Article
Engineering, Industrial
Lorenzo Tiacci
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2015)
Article
Computer Science, Interdisciplinary Applications
Chiara Paltriccia, Lorenzo Tiacci
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2016)
Article
Engineering, Industrial
Lorenzo Tiacci
JOURNAL OF MANUFACTURING SYSTEMS
(2017)
Article
Management
Lorenzo Tiacci, Mario Mimmi
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2018)
Article
Computer Science, Interdisciplinary Applications
Francesco Bianconi, Luca Ceccarelli, Antonio Fernandez, Stefano A. Saetta
COMPUTERS IN INDUSTRY
(2014)
Article
Computer Science, Interdisciplinary Applications
Lorenzo Tiacci
SIMULATION MODELLING PRACTICE AND THEORY
(2020)
Article
Engineering, Industrial
Lorenzo Tiacci
Summary: In the context of assembly lines, rest times refer to the allowed inactivity period after workers complete their tasks. Rest times are assigned to prevent occupational diseases, but can affect the line's performance. This paper presents an approach using a genetic algorithm and a discrete event simulator to assign rest times during the balancing procedure, considering performance, ergonomic aspects, and costs. Results show that this approach significantly improves the quality of solutions for manual assembly lines, particularly when tasks have high ergonomic load, maintaining line performance while minimizing costs and protecting companies' profitability.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Proceedings Paper
Automation & Control Systems
Lorenzo Tiacci
Summary: In this paper, two popular techniques for improving the efficiency of mixed model asynchronous assembly lines are compared: buffer allocation within work centers and optimization of model sequencing. The comparison is conducted on benchmark instances related to the Mixed-model Assembly Line Balancing Problem (MALBP). The presented approach enables simultaneous solutions for buffer allocation, sequencing optimization, and MALBP for asynchronous unpaced lines.
Proceedings Paper
Automation & Control Systems
Lorenzo Tiacci
Article
Engineering, Industrial
Ahad Foroughi, Hadi Gokcen, Lorenzo Tiacci
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
(2016)
Proceedings Paper
Computer Science, Information Systems
Lorenzo Tiacci, Chiara Paltriccia
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE PRODUCTION MANAGEMENT TOWARDS SUSTAINABLE GROWTH (AMPS 2015), PT I
(2015)
Proceedings Paper
Computer Science, Information Systems
Lorenzo Tiacci, Chiara Paltriccia, Stefano Saetta, Eduardo Martin Garcia
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT III
(2014)
Proceedings Paper
Computer Science, Hardware & Architecture
Antonio Ricciardi, Andrea Cardoni, Lorenzo Tiacci
COLLABORATIVE SYSTEMS FOR SMART NETWORKED ENVIRONMENTS
(2014)
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)