Article
Economics
Agus Darmawan, Hartanto Wong, Anders Thorstenson
Summary: This paper presents models and solution methods for supply chain network design that integrate location-transportation and inventory problems, with a focus on coordinated inventory control. Two different strategies are compared, with heuristic methods developed to solve the optimization problems. The numerical results demonstrate the benefits of coordinated inventory control, particularly in reducing total costs and inventory, and its impact on network structure, especially when inventory holding cost rate is high.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Operations Research & Management Science
Nadia Pourmohammad-Zia, Behrooz Karimi, Jafar Rezaei
Summary: The study investigates dynamic pricing and inventory control policies in a two-level Food Supply Chain, focusing on the negative impact of over-breeding to maintain item quality and reduce food waste. The centralized supply chain scenario enhances profit for the supplier and retailer, and benefits customers with lower selling prices. Sensitivity analysis explores the impact of different input parameters and provides insights for decision-makers in the supply chain.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Economics
Mengmeng Li, Shinji Mizuno
Summary: This paper investigates the dynamic versus static pricing problem in a dual-channel supply chain, considering stochastic demand and price sensitivity. Four different pricing strategies are examined, and stochastic dynamic programming models are developed to determine the optimal pricing and inventory policy for maximizing total expected profit. Numerical studies reveal the effectiveness of the strategies and identify key factors affecting pricing decisions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(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
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
Chemistry, Multidisciplinary
Heidi Taboada, Yasser A. Davizon, Jose F. Espiritu, Jaime Sanchez-Leal
Summary: This study utilizes a system dynamics model and ordinary differential equations to analyze and control dynamic supply chains, aiming to reduce inventory, maximize profits, and minimize costs. The relationship between production rate and inventory levels in the supply chain is described using a model based on the mixing problem. Stability and sensitivity analysis are conducted to understand the effects of parameter variations on the supply chain.
APPLIED SCIENCES-BASEL
(2022)
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
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
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
Management
Roberto Dominguez, Salvatore Cannella, Jose M. Framinan
Summary: The closed-loop dynamics of sustainable supply chains are crucial for their performance, and the decision of whether the remanufacturing process should be centralized or decentralized significantly impacts the supply chain's performance. While a centralized configuration can reduce uncertainty in reverse flows, it may also lead to higher uncertainty for upstream members. Therefore, in long supply chains, the decision should be made considering the trade-offs and taking into account information transparency levels.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Operations Research & Management Science
Hamed Shourabizadeh, O. Erhun Kundakcioglu, Cem Deniz Caglar Bozkir, Mihriban Busra Tufekci, Andrea C. Henry
Summary: We studied inventory review policy for healthcare facilities to minimize the impact of inevitable drug shortages. Our proposed Markov chain model demonstrated significant economic impact of inventory parameter optimization.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Zhongyuan Hao, Juan Li, Jinling Cai
Summary: This article analyzes the effects of the contract relationship between manufacturers and retailers on inventory responsibility and profitability in the supply chain, as well as the role of overconfidence in these effects. The results show that the overconfidence of both parties may weaken the negative effects of double marginalization in certain circumstances and reduce the Pareto-improvement opportunities of the contracts.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Review
Engineering, Industrial
Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa
Summary: Configuring supply chains is crucial for the success of spare parts retailers. This paper introduces a new methodology called SP-LACE, which reviews the configuration of spare parts supply chains and evaluates their economic benefits. The results indicate that SP-LACE provides economic benefits and ensures high service levels, overcoming the limitations of existing literature methodology.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Christian Hofer, Jordan Barker, Cuneyt Eroglu
Summary: The study explores the positive relationship between major customers and suppliers' inventory leanness, and how this is influenced by various isomorphic forces. Factors like interdependence, uncertainty, and the age of the customer-supplier relationship can strengthen suppliers' imitation behaviors towards their major customers' inventory leanness.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Review
Green & Sustainable Science & Technology
Katherinne Salas-Navarro, Paula Serrano-Pajaro, Holman Ospina-Mateus, Ronald Zamora-Musa
Summary: This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The main findings include the increase in the number of countries researching this topic and the number of publications, as well as the promotion of proper resource utilization in sustainable supply chains.
Article
Economics
Fotini Economou, Ioanna Kountouri, Yannis Panagopoulos, Georgia Skintzi, Ekaterini Tsouma
Summary: This paper aims to estimate the excise tax revenue elasticity and buoyancy for tobacco products and alcoholic beverages in Greece. The results suggest that policy measures primarily affect tax revenues in the long term through the tax-to-base relation. In the short term, excise tax revenues have a larger reaction to changes in the tax base, possibly due to asymmetric effects such as the crisis/adjustment and the COVID-19 lockdown effects. There are several differences in excise tax revenue elasticity and buoyancy between the two product categories.
Article
Operations Research & Management Science
G Ioannou, G Prastacos, G Skintzi
ANNALS OF OPERATIONS RESEARCH
(2004)
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)