Integrated Planning of Supply and Inventory Under Seasonal Demand Uncertainty
Rattachement africain : cn, us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This study investigates several classes of integrated supply and inventory (SI) planning problems, addressing supplier selection with limited or unlimited capacities, distribution, and centralized or decentralized inventory planning for various products with uncertain demand. Our focus is on retailers specializing in fashion products characterized by seasonal demand, extended lead times, and the inability to restock during midselling seasons, requiring salvage of unsold items at diminished returns. We formulate the capacitated problems as convex mixed-integer programs and show they are strongly NP-hard. To address these complex problems, we propose employing Lagrangian relaxation methods for analytically deriving lower bounds, establishing optimal multiplier ranges, and deriving worst-case error bounds. Additionally, we introduce heuristics to generate feasible solutions. Computational studies demonstrate that our relaxation-based heuristics produce solutions closely approaching optimality. Furthermore, we demonstrate that uncapacitated SI problems can be solved analytically, providing closed-form optimal solutions. This research contributes significant managerial insights for practitioners involved in supplier selection, distribution strategies, and inventory management within centralized and decentralized supply chains. Particularly noteworthy are our analytical findings on the benefits of centralization, especially under correlated Gaussian and heavy-tailed stable demand distributions. Our computational experiments further explore the influence of critical factors such as economies of scale, demand correlation, demand distribution characteristics, and upstream and downstream costs. Specifically, we assess how these factors impact the efficacy of centralization versus decentralized inventory management in minimizing expected inventory and overall system costs. Supplemental Material: The online supplement is available at https://doi.org/10.1287/trsc.2025.0026 .
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Integrated Planning of Supply and Inventory Under Seasonal Demand Uncertainty
- Date Crossref
- 01/07/2026
- Éditeur
- Institute for Operations Research and the Management Sciences (INFORMS)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Tongji University pays non établi dans la noticeUniversité ou école supérieure
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University Town of Shenzhen pays non établi dans la noticeUniversité ou école supérieure
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Tsinghua Shenzhen International Graduate School pays non établi dans la noticeUniversité ou école supérieure
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Tsinghua University Logistics Engineering and Simulation Laboratory pays non établi dans la noticeUniversité ou école supérieure
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The State University of New Jersey Rutgers pays non établi dans la noticeUniversité ou école supérieure
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School of Economics and Management pays non établi dans la noticeUniversité ou école supérieure
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Rutgers University Department of Supply Chain Management pays non établi dans la noticeUniversité ou école supérieure
Tongji University, University Town of Shenzhen et Tsinghua Shenzhen International Graduate School, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.