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International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
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Optimizing Unsold Inventory Decisions under the Newsvendor Model Mechmech, Rihab; Harbi, Slim; Hadj-Alouane, Atidel B.; Sboui, Sami
International Journal of Supply Chain Management Vol 14, No 6 (2025): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v14i6.6365

Abstract

Unsold products represent a persistent operational and financial challenge for manufacturers, wholesalers, and retailers. This paper aims to address the problem of unsold inventory management by developing a decision-support framework for clearance strategies. Based on the newsvendor model, the proposed approach jointly optimises supply chain profit from regular market sales and clearance sales. The optimisation relies on a qualitative risk–performance assessment of alternative clearance strategies, incorporating managers’ industrial knowledge. A numerical illustration highlights the main drivers influencing the selection of an optimal clearance policy, namely acceptable risk levels, expected clearance revenues, and capacity constraints. The results provide actionable managerial insights and are synthesised into a practical decision-making approach to support practitioners in selecting effective clearance strategies. The proposed framework is applicable to both seasonal and non-perishable products.

Page 257 of 257 | Total Record : 2561

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