Article
Management
Jianbin Li, Xiaomeng Luo, Qifei Wang, Weihua Zhou
Summary: This study investigates a supply chain with uncertain demand and price, proposing capacity reservation and quantity flexibility contracts to enhance overall performance and profits. The contracts can coordinate the supply chain effectively and are preferred by retailers under coordination, even when demand and retail price are correlated.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Engineering, Manufacturing
Panos Kouvelis, Xingxing Chen, Yu Xia
Summary: This article discusses a two-stage project supply chain, where a project firm produces either an engineer-to-order complex product or a make-to-order industrial product, and a contract supplier provides key materials. The project faces uncertainties in activity time and material consumption. An optimization model is formulated to solve the project firm's project due date and material order problem, taking into account the supplier's strategic reaction to the material order. The importance of risk-sharing strategies for different project types is analyzed.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Review
Management
Shupeng Huang, Andrew Potter, Daniel Eyers, Qinyun Li
Summary: This paper examines the influence of online review adoption on supply chain profitability under the presence of capacity constraint through mathematical modeling and simulation. The findings suggest that online reviews can bring more profit to the supply chain, although this influence is influenced by other variables such as capacity constraint level, lost sales penalty level, and product quality estimation.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Economics
Yan Guo, Xinning Yu, Caifeng Zhou, Gaoyan Lyu
Summary: This study finds that government subsidy strategies depend on external prices and capacity, with manufacturer subsidies (Mode M) being superior to supplier subsidies (Mode S), and simultaneously subsidizing suppliers and manufacturers is not better than a single subsidy mode. Social welfare in competitive cases is not worse than in monopoly cases under certain conditions, but supply disruptions under high competition intensity cannot be prevented by either subsidy mode.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Multidisciplinary
Xiaoying Tang, Yong He
Summary: By-product synergy is considered effective for supporting circular economy and sustainable development. This paper analyzes a two-echelon supply chain and proposes a combined contract to coordinate the supply chain and improve performance in the presence of uncertain demand and supply fluctuations.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Management
Sara Rogerson, Martin Svanberg, Vendela Santen
Summary: This paper analyzes a supply chain disruption caused by a port conflict, focusing on flexibility and capacity. The study found various capacity problems due to the port conflict and discussed the difficulties in applying flexibility measures. The findings are applicable to disruptions in ports and other important nodes in supply chains worldwide.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Jian Wang, Wenxuan Shao
Summary: This paper examines a closed-loop supply chain with a manufacturer and supplier, formulating dynamic game models to determine optimal decisions. Factors such as capacity investment costs and cost-sharing influence optimal decisions, with results showing that the supplier's collecting mode may outperform other scenarios and provide management insights. Coordination between manufacturer and supplier may sometimes fail to enhance the sustainability of the closed-loop supply chain, contrary to some existing research findings.
Article
Engineering, Industrial
Baofeng Huo, Muhammad Zia Ul Haq, Minhao Gu
Summary: This study explores the impact of information sharing on different types of supply chain learning and their influences on flexibility performance. The findings indicate that supplier and customer learning improve internal learning, and internal and customer learning directly affect flexibility performance. Information sharing moderates the relationship between supplier learning and flexibility performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Stanislaw Ambroszkiewicz, Stanislaw Bylka
Summary: This study investigates the coordination between a single manufacturer (vendor) and a buyer (retailer) in a two-stage supply chain through delivery schedules. The results show that under stock management policy, the vendor delivers sub-batches as the buyer's inventory reduces to zero, while under consignment stock policy, the vendor controls the inventory position through just-in-time or delayed deliveries to meet the buyer's warehouse space limitation.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Economics
Paulo Brito-Pereira, Paolo Mastropietro, Pablo Rodilla, Luiz Augusto Barroso, Carlos Batlle
Summary: Capacity mechanisms play a crucial role in regulating the decarbonization of liberalized power systems. However, the current assessment and de-rating methods are not suitable for power systems with high proportion of renewable energy and increased demand elasticity. Therefore, it is necessary to redefine the evaluation framework and propose recommendations to adapt to the challenges ahead.
Article
Economics
Zhiping Lin, Jing Peng, Jia Wang
Summary: This paper studies two typical contracts in a supply chain: push contract and pull contract. Equilibrium solutions under both contracts are derived, showing that the order quantity and firms' profits always increase with the supplier's reliability probability. Furthermore, the effects of firms' unit capital opportunity costs and supplier's reliability probability on contract preference are investigated. Finally, conditions favoring the push contract over the pull contract for different firms are identified.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Management
Xi Li, Qian Liu
Summary: This paper examines the interaction between a manufacturer's capability to acquire demand information and a retailer's demand investment decision in a supply chain. The study explores two common contract types, wholesale price and two-part tariff, and finds that the retailer benefits from the manufacturer's increased capability to acquire demand information. The results challenge some established findings in the literature and provide new insights into supply chain dynamics.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Management
Nitish Jain, Sameer Hasija, Serguei Netessine
Summary: Antitrust regulations aim to promote fair competition in the market, but balancing administrative and legal costs with enforcement becomes challenging in multi-layered supply chains. The Illinois Brick ruling limits antitrust damages to direct purchasers, potentially leading to missed opportunities for enforcement. Different contract structures in supply chain arrangements can influence the likelihood of collusion and legal action between manufacturers and retailers.
MANAGEMENT SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Hao Zou, Jin Qin, Hong Zheng
Summary: This paper aims to achieve low-carbon development of the supply chain network based on the carbon quota trading system and the risk aversion characteristics of retailers. The results show that when the retailer is risk averse, increasing the risk aversion coefficient can reduce the manufacturer's carbon emission rate and profit, increase the product sales price and retailer's profit. Furthermore, increasing the inventory capacity constraint can increase the profit of the manufacturer and the retailer, but decrease the emission reduction rate of the manufacturer. The carbon trading mechanism can promote enterprises to invest in carbon emission reduction and raise the low-carbon level of products.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Lin Xue, Kangzhou Wang
Summary: This paper examines coordination in a dual-channel supply chain with a risk-averse retailer and a risk-neutral and fairness-neutral manufacturer, considering uncertainty in market demand and manufacturer yield. A decision-making model is developed for the risk-averse retailer with fairness concerns using the CVaR criterion and fairness concern theory. The study discusses the optimal decision under centralized and decentralized dual-channel supply chains and presents a new joint contract to coordinate the supply chain under yield and demand uncertainty conditions, achieving Pareto improvement. Numerical examples analyze the effects of yield and demand uncertainties, risk aversion coefficient, and fairness concern coefficient on various variables and discuss the feasible range of Pareto improvement under the joint contract.
MANAGERIAL AND DECISION ECONOMICS
(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)
