a network data envelopment analysis model for supply chain performance evaluation: real case of iranian pharmaceutical industry
laya olfat faculty of management and accounting, allameh tabataba’i university, beside haft peikar alley, nezami ganjavi avenue, tavanir avenue, valiasr street, tehran, iran, maghsoud amiri faculty of management and accounting, allameh tabataba’i university, beside haft peikar alley, nezami ganjavi avenue, tavanir avenue, valiasr street, tehran, iran, jjahanyar bamdad soofi faculty of management and accounting, allameh tabataba’i university, beside haft peikar alley, nezami ganjavi avenue, tavanir avenue, valiasr street, tehran, iran, mostafa ebrahimpour azbari faculty of management and accounting, allameh tabataba’i university, beside haft peikar alley, nezami ganjavi avenue, tavanir avenue, valiasr street, tehran, iran
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 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. four of the twenty eight supply chains which were studied obtained 1 as the highest performance rate and the lowest observed performance was 0.43.
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