A Decision Analysis Framework for the Identification and Performance Preservation of Strategic Products in the Supply Chain

Fatemeh Abbasnia, Mostafa Zandieh (), Farzad Bahrami and Pourya Pourhejazy ()
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Fatemeh Abbasnia: Department of Industrial Engineering, Shahid Beheshti University, Tehran, Iran
Mostafa Zandieh: Department of Industrial Engineering, Shahid Beheshti University, Tehran, Iran
Farzad Bahrami: Industrial Management Department, Faculty of Administrative Sciences and Economics, Arak University, Arak, Iran
Pourya Pourhejazy: Department of Industrial Engineering, UiT–The Arctic University of Norway, 8514 Narvik, Norway

Logistics, 2025, vol. 9, issue 3, 1-16

Abstract: Background : This study develops a decision-making framework for the identification and performance preservation of strategic products using a non-parametric analysis of items within the product portfolio. Methods : Data Envelopment Analysis (DEA) and the sensitivity analysis of Inverted Data Envelopment Analysis (IDEA) are adapted to explore a new application area in growth product management. A field study from the retail sector of a developing economy is conducted to evaluate the method’s practicality. Results : This study suggests that the power of suppliers, product shelf life, and the ratio of sales to inventory are important supply chain considerations in identifying strategic products accommodated in Slow-Moving Consumer Goods (SMCG) supply chains. Conclusions : The field study shows that sensitivity analysis, in the new application area, provides insights for the identification and performance preservation of strategic items in a product portfolio. Data-driven solutions tailored to the operational needs of the case company and its different product categories conclude this article..

Keywords: low-turnover products; Inverted Data Envelopment Analysis (IDEA); growth product management; product performance evaluation; logistics; decision analysis (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2025
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