Assessing the sustainability in the tomato paste supply chain using the principles of natural accessibility, management and bootstrap simulation

Subject Areas : Production Management

Masoud Vassei ¹ , Maryam Daneshmand-Mehr ² , Morteza Bazrafshan ³ , Armin Ghane Kanafi ⁴

1 - Department of Industrial Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran
2 - Department of industrial engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran
3 - Department of Industrial Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
4 - Department of mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran

Received: 2023-07-30 Accepted : 2024-01-20 Published : 2023-08-23

Keywords: Data envelopment analysis, network, Bootstrap, sustainable supply chain, management input, non-management input,

Abstract :

Data envelopment analysis is used for better understanding of data, more transparency and deeper understanding of patterns, relationships and characteristics of data. Data envelopment analysis is able to ensure that the data used in the analysis and decisions are complete. By examining the data coverage, it is possible to see whether every possible value is present in the key variables and whether every row or observation required for the analysis is sufficiently responsive. The main goal of this research is to provide a framework for measuring the sustainability of supply chain performance using the principles of natural accessibility, management and bootstrap simulation. Therefore, in this article, a new model for evaluating sustainable supply chain performance will be presented using network data envelopment analysis and bootstrap simulation through the integration of principles governing natural and managerial accessibility. In this model, the key factors of the sustainable supply chain including economic, social and environmental factors will be considered as inputs and outputs in the data coverage analysis model. In addition, the inputs are considered in both managerial (under control) and non-managerial (uncontrolled) ways according to the principles of natural and managerial accessibility. Then, by using the bootstrap simulation method, and building the required data, the estimation of the network efficiency score for the decision making units is carried out. To illustrate the proposed method, a real case study is considered in the tomato paste supply chain network. According to the results, the accuracy of the used method has been shown.