A Network Data Envelopment Analysis Model for Supply Chain Performance Evaluation: Real Case of Iranian Pharmaceutical Industry
Publish place: International Journal of Industrial Engineering & Production Research، Vol: 25، Issue: 2
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJIEPR-25-2_005
تاریخ نمایه سازی: 7 شهریور 1393
Abstract:
Having a comprehensive evaluation model with reliable data is useful to improve performance of supply chain. In this paper, according to the nature of supply chain, a model is presented that able to evaluate the performance of the supply chain by a network data envelopment analysis model and by using the financial, intellectual capital (knowledge base), collaboration and responsiveness factors of the supply chain. At the first step, indicators were determined and explained by explanatory Factor Analysis. Then, Network Data Envelopment Analysis (NDEA) model with variable returns to scale was used. This paper is the result of research related to supply chain of pharmaceutical companies in Tehran Stock Exchange and 115 experts and senior executives have been questioned as sample. The results showed that responsiveness latent variable had the highest correlation with supply chain performance and collaborative, financial and intellectual capital (knowledge base) latent variables were respectively after that. 12 of the 28 supply chains which were studied obtained 1 as the highest performance rate and the lowest observed performance was 0.81.
Keywords:
Supply Chain Performance Evaluation , Performance Indicators , Factor Analysis , Network Data Envelopment Analysis
Authors
M. Ebrahimpour Azbari
Assistant Professor, Department of Management, Faculty of Humanities, University of Guilan, Rasht, Iran ,
L. Olfat
Associate Professor, Department of Industrial Management, Management and Accounting Faculty, Allameh Tabataba’i University, Tehran, Iran,
M. Amiri
Associate Professor, Department of Industrial Management, Management and Accounting Faculty, Allameh Tabataba’i University, Tehran, Iran,
J. Bamdad Soofi
Assistant Professor, Department of Industrial Management, Management and Accounting Faculty, Allameh Tabataba’i University, Tehran, Iran,