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Growing Science » Authors » Masoumeh Gardeshi

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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Information technology portfolio in supply chain management using factor analysis Pages 2747-2758 Right click to download the paper Download PDF

Authors: Ahmad Jaafarnejad, Davood Rafierad, Masoumeh Gardeshi

Keywords: Factor analysis, Information technology, IT criteria, Supply chain management

Abstract:
The adoption of information technology (IT) along with supply chain management (SCM) has become increasingly a necessity among most businesses. This enhances supply chain (SC) performance and helps companies achieve the organizational competitiveness. IT systems capture and analyze information and enable management to make decisions by considering a global scope across the entire SC. This paper reviews the existing literature on IT in SCM and considers pertinent criteria. Using principal component analysis (PCA) of factor analysis (FA), a number of related criteria are divided into smaller groups. Finally, SC managers can develop an IT portfolio in SCM using mean values of few extracted components on the relevance –emergency matrix. A numerical example is provided to explain details of the proposed method.
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Journal: MSL | Year: 2013 | Volume: 3 | Issue: 11 | Views: 2594 | Reviews: 0

 
2.

Application of factor analysis for agile supply chain classification: A case study on the Iranian automotive parts supplier (SAPKO) Pages 457-466 Right click to download the paper Download PDF

Authors: Davood Rafeie rad, Maghsoud Amiri, Masoumeh Gardeshi, Javad Siahkali Moradi

DOI: 10.5267/j.msl.2011.06.010

Keywords: Agile supply chain, Automobile industry, Factor analysis, Principal component analysis

Abstract:
Today automotive companies must pioneer in strategies such as the agile supply chain for competition and various demands of customers. Considering the importance of agile in choosing a supplier at the supply chain, this study tries to identify and evaluate agile activities in SAPCO Company suppliers. Then, using principal component analysis of factor analysis, a number of related activities are divided into smaller groups called factor. The results are used by SAPCO to determine agile patterns in selecting a supplier with emphasis on similarities and differences and create agile portfolio. The study can help SAPCO identify criteria and making decision in the field of agile at suppliers.
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Journal: MSL | Year: 2011 | Volume: 1 | Issue: 4 | Views: 3215 | Reviews: 0

 

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