Sustainability assessment in concrete industry supply chain in stochastic environment
محورهای موضوعی : مجله بین المللی ریاضیات صنعتی
فاطمه شعاع شرق
1
(Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran)
Mansour Soufi
2
(Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran)
AR. Amirteimoori
3
(Department of Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran)
مهدی فدایی
4
(1Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran)
کلید واژه: Data Envelopment Analysis, Concrete Industry, Sustainability, Supply chain, Undesirable Outputs, Uncontrollable Inputs.,
چکیده مقاله :
This research aims to develop data envelopment analysis (DEA) for predicting the supply chain sustainability of the concrete industry using stochastic variables. In the first phase, the mines and companies that organized the four supply chains of the Guilan concrete industry based on competitive elements were identified. After that, based on economic, social, and environmental indexes, the sustainability of the supply chains was chosen using the Fuzzy Delphi model and input and output of mines and concrete companies, which include controllable, uncontrollable, and undesirable inputs and outputs. Finally, data envelopment analysis was used to measure the supply chain sustainability of the concrete industry employing crisp data and a linear model. The errors were entered into the model with a stochastic element based on the probability of the errors. In other words, according to stochastic data envelopment analysis, all input and output data were considered randomly. The output data shows that none of the four supply chains of the Guilan concrete industry is sustainable.
This research aims to develop data envelopment analysis (DEA) for predicting the supply chain sustainability of the concrete industry using stochastic variables. In the first phase, the mines and companies that organized the four supply chains of the Guilan concrete industry based on competitive elements were identified. After that, based on economic, social, and environmental indexes, the sustainability of the supply chains was chosen using the Fuzzy Delphi model and input and output of mines and concrete companies, which include controllable, uncontrollable, and undesirable inputs and outputs. Finally, data envelopment analysis was used to measure the supply chain sustainability of the concrete industry employing crisp data and a linear model. The errors were entered into the model with a stochastic element based on the probability of the errors. In other words, according to stochastic data envelopment analysis, all input and output data were considered randomly. The output data shows that none of the four supply chains of the Guilan concrete industry is sustainable.
