Presenting a new model for performance measurement of the sustainable supply chain of Shoa Panjereh Company in different provinces of Iran (case study)

Alireza Karimi, Saeed Jafarzadeh-Ghoushchi and M. A. Mohtadi-Bonab ()
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Alireza Karimi: Urmia University of Technology (UUT)
Saeed Jafarzadeh-Ghoushchi: Urmia University of Technology (UUT)
M. A. Mohtadi-Bonab: University of Bonab

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 1, No 11, 140-154

Abstract: Abstract Evaluation of a supply chain is one of the most important measures for each organization. In the meantime, the simultaneous improvement approach of the economic, social and environmental performance in the field of supply chain management has attracted many researchers in recent decades. One of the suitable methods for this type of evaluation is the use of data envelopment analysis models. In the present article, the supply chain of Shoa Company has been evaluated on four levels: glass supply unit, profile supply unit, window manufacturing unit and installation unit. The company evaluation has been carried out for 18 different provinces of Iran and in total with 15 different economic, social and environmental criteria in two phases. In the first phase, the efficiency is obtained for each unit of the supply chain of the company separately based on the three aspects of sustainability, using the data envelopment analysis models; and, in the second phase, the efficiency obtained in the first phase was used as the new model ideals. The new model, which is a combination of the data envelopment analysis approach and the ideal planning, is the overall assessment of the company’s supply chain for the Shoa Co. based on sustainability criteria. The purpose of this study was to provide a comprehensive model for evaluating all parts of the supply chain of organizations with all aspects of sustainability.

Keywords: Sustainability supply chain; Performance measurement; Ideal planning; Data envelopment analysis; Hierarchical analysis (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13198-019-00932-4

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