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Growing Science » Management Science Letters » Selecting an optimal mixed products using grey relationship model

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Management Science Letters
ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 3 Issue 6 pp. 1825-1832, 2013

Selecting an optimal mixed products using grey relationship model Pages 1825-1832 PDF Download PDF

Authors: Farshad Faezy Razi, Abolfazl Danaei, Amir Ehsani, Changiz Dolati

📋 Author Affiliations:
Farshad Faezy Razi ORCID , Abolfazl Danaei ORCID , Amir Ehsani, Changiz Dolati
¹ Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran
doi 10.5267/j.msl.2013.04.027
1 Source: Scopus
Crossref 1 Source: CrossRef

🔑 Keywords: GRM, Mixed product, MOLP, Supply chain management

Abstract: This paper presents an integrated supplier selection and inventory management using grey relationship model (GRM) as well as multi-objective decision making process. The proposed model of this paper first ranks different suppliers based on GRM technique and then determines the optimum level of inventory by considering different objectives. To show the implementation of the proposed model, we use some benchmark data presented by Talluri and Baker [Talluri, S., & Baker, R. C. (2002). A multi-phase mathematical programming approach for effective supply chain design. European Journal of Operational Research, 141(3), 544-558.]. The preliminary results indicate that the proposed model of this paper is capable of handling different criteria for supplier selection.

How to cite this paper
APA: Razi, F., Danaei, A., Ehsani, A & Dolati, C. (2013). Selecting an optimal mixed products using grey relationship model. Management Science Letters, 3(6), 1825-1832.
Chicago/Turabian: Razi, F., Danaei, A., Ehsani, A & Dolati, C. 2013. "Selecting an optimal mixed products using grey relationship model." Management Science Letters 3, no. 6 (2013): 1825-1832.
AMA: Razi, F., Danaei, A., Ehsani, A & Dolati, C. Selecting an optimal mixed products using grey relationship model. Management Science Letters. 2013;3(6):1825-1832.

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📚 Journal: Management Science Letters | 📅 Year: 2013 | 📖 Volume: 3 | 📄 Issue: 6 | 👁️ Views: 2862 | 📊 Crossref: 1

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