Article
Computer Science, Interdisciplinary Applications
Yeu-Shiang Huang, Jyh-Wen Ho, Hong-Jin Jian, Tzu-Liang (Bill) Tseng
Summary: This study focuses on developing an optimal long-term ordering policy in a two-echelon supply chain using a quantity discount-coordination mechanism. Coordinating quantity discounts can reduce demand uncertainty, decrease retailer orders, and effectively increase the supply chain's overall benefits.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Golara Chaharmahali, Davoud Ghandalipour, Milad Jasemi, Saber Molla-Alizadeh-Zavardehi
Summary: Discount is an efficient method to reduce closed-loop supply chain costs. This study applies quantity discount, fixed and variable transportation costs, and well-known efficient algorithms. The results show that the hybrid algorithm and the modified differential evolution algorithm have superior performance compared to other algorithms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Operations Research & Management Science
Xiongfeng Pan, Shucen Guo
Summary: This article discusses the issue of carbon emissions in the steel industry in China and proposes a green closed-loop supply chain model that considers both economic costs and carbon emissions. The model also takes into account the quantity discount effect and uses fuzzy analytic hierarchy process and fuzzy multi-objective linear programming for decision analysis. The study finds that after considering the quantity discount, the economic cost of the green closed-loop supply chain model is reduced by approximately 10%, with a slight increase of approximately 1% in carbon emissions.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Valentina Di Pasquale, Raffaele Iannone, Maria Elena Nenni, Stefano Riemma
Summary: Existing models for order allocation mainly consider environmental attributes and neglect economic and social attributes. Therefore, this paper proposes a model for green order allocation in a high operational variability supply chain, which considers uncertainty, limited capacity, minimum levels, and scores of suppliers, as well as emissions related to production, ordering, maintenance, and transport. The validation of the model shows that it achieves lower costs and TBL impacts compared to models that only consider TBL scores in supplier selection, thus helping firms increase sustainability throughout the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2023)
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
Computer Science, Interdisciplinary Applications
Xinghao Yan
Summary: This study examines the role of order quantity in supply chains in the presence of demand and/or supply uncertainty. It is found that order quantity serves as a tool for the buyer to manage potential supply shortage or surplus caused by uncertainties. The decision makers utilize order quantity differently to hedge against various uncertainties. The analysis also reveals the impact of order quantity on coordinating contract design and identifies the challenges in designing quantity-based coordinating contracts under supply uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Xiaojing Zheng
Summary: This paper explores the coordination of agricultural cooperatives and supermarkets or E-commerce supply chains under the condition of quantity loss. By constructing a working model and calculating optimal discount ratios, a universal optimal strategy is designed. The results show that discounts can effectively coordinate supply chains and resolve conflicts, with multi-stage discounts being more difficult to coordinate than single-stage ones.
Article
Computer Science, Artificial Intelligence
Nguyen Thi My Hanh, Jen Ming Chen, Nguyen Van Hop
Summary: The paper investigates supply chain coordination frameworks to address the issue of double marginalization caused by price-sensitive demand. Using the Salop spatial model, the impact of pricing strategy and ordering/production policy on the performance of a three-layer supply chain is analyzed. The Nash Game approach is employed to determine the best price and order quantity for individual members in the decentralized supply chain.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Mathematics
Shiyu Liu, Ou Liu, Xiaoming Jiang
Summary: This paper analyzes a retailing supply chain problem involving quantity discount schedules and order quantity constraints. An efficient algorithm named MCPB is proposed to find near-optimal solutions for retailers to solve practical joint replenishment problems. Computational experiments show that the algorithm can effectively maximize retailers' profit.
Article
Computer Science, Interdisciplinary Applications
Valeri Natanelov, Shoufeng Cao, Marcus Foth, Uwe Dulleck
Summary: This paper explores and demonstrates the potential of blockchain and smart contracts for supply chain finance in the context of cross-border beef supply chains from Australia to China. The study uses the Agents Events Data (AED) process mapping method to improve supply chain processes and traditional SCF models. The findings highlight how blockchain technology and smart contracts can mitigate financial risks and transform credit financing. Additionally, the paper proposes the group buying business model as a promising approach for whole-of-supply-chain finance and showcases the utility of the AED process mapping method for future research.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Economics
Yong Woo Kwon, Jiuh-Biing Sheu, Seung Ho Yoo
Summary: This study introduces a new type of supply contract, the quadratic quantity discount contract, and reveals its unique properties compared to linear quantity discount and wholesale price contracts. The investigation shows that the quadratic quantity discount contract always coordinates the supply chain and enhances the profits of all players, making it a serious choice for supply chain managers. It also offers predictable profit improvement performance and an acceptable wholesale price with a nonlinear average discount.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Mathematics
Shuangsheng Wu, Qi Li
Summary: This paper examines the impact of supplier risk aversion on supply chain coordination through the construction of an emergency quantity discount contract. The results show that supplier risk aversion can lead to bifurcation in the supply chain, where coordination is not achieved within the bifurcation region. Variations in supply chain factors within the bifurcation region are related to the risk aversion factor and market demand distribution's variance, with a greater variance leading to a wider range of variation.
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
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
Computer Science, Interdisciplinary Applications
Wattana Viriyasitavat, Danupol Hoonsopon, Zhuming Bi
Summary: Blockchain technology has been successfully used in various applications for international asset transfers and domestic payments, leading to a paradigm shift in the payment industry with more liquidated and automated payment processes. While BCT tends to replace conventional payment methods in supply chain, some payment conditions, such as arrears, remain unresolved. A new architecture based on smart contracts has been proposed to improve payment flexibility, with significant theoretical and practical significance in allowing enterprises to fully utilize future resources.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(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)