Improving supply chain collaborations and performance of inefficient supply chain

محورهای موضوعی : Data Envelopment Analysis

M. Sanei ¹ , S. Mamizadeh-Chatghayeh ²

1 - Department of Mathematics, Islamic Azad University of Central Tehran Branch, Tehran, Iran
2 - Young researches club, Islamic azad university,Central Tehran branch, Tehran, Iran

تاریخ دریافت : 1389/06/03 تاریخ پذیرش : 1389/06/03 تاریخ انتشار : 1391/04/11

کلید واژه: Data Envelopment Analysis (DEA). Supply Chain Management (SCM). Intermediate products. Efficiency,

چکیده مقاله :

Modern manufacturing enterprises are required to collaborate by theirbusiness partners through their business process operations such as design,manufacture, distribution, and aftersales services. And furthermore performanceevaluation is of great importance for effective supply chain management. Therefore, DEA can help companies to remove some of the inefficiencies in operational processes in order to become more effective. Thecurrent paper develops one approach for determining the DEA projectionsfor inefficient supply chains. Meanwhile this approach aims at providingan easy, efficient and more practical approach based on the performanceevaluation for the multi-member supply chain. And ultimately, this modelis illustrated by an numerical example of Chinese commercial bank, andcase study application to provide of machine-making supply chain.

چکیده انگلیسی:

Modern manufacturing enterprises are required to collaborate by theirbusiness partners through their business process operations such as design,manufacture, distribution, and aftersales services. And furthermore performanceevaluation is of great importance for effective supply chain management. Therefore, DEA can help companies to remove some of the inefficiencies in operational processes in order to become more effective. Thecurrent paper develops one approach for determining the DEA projectionsfor inefficient supply chains. Meanwhile this approach aims at providingan easy, efficient and more practical approach based on the performanceevaluation for the multi-member supply chain. And ultimately, this modelis illustrated by an numerical example of Chinese commercial bank, andcase study application to provide of machine-making supply chain.

منابع و مأخذ:

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