خلاصة:
Nowadays, Supply chains can be explored through two concepts of resilience and sustainability. This paper attempted to conduct a meta-analysis of a resilient and sustainable supply chain while proposing a new conceptual model.
Meta-analysis is a type of quantitative meta-study conducted only on the results of previous studies. With a focus on a decade of studies from 2011 to February 2020, this paper intended to explore the literature on resilient-sustainable supply chains. To that end, a total of 39 relevant papers were selected and reviewed. The statistical population comprised 15 papers dealing with both resilience and sustainability. Moreover, the dimensions and indicators of analyses were identified based on the opinions of 10 supply chain experts and the Delphi method.
Based on the collected data, a new conceptual model was presented with initial information and conceptual models not reflected in previous independent research. In the newly proposed conceptual model, the supply chain resilience and sustainability were contributed by several components including structure (34%), resources (31%), capabilities (13%), innovation and production (7%), and transportation and environmental assessment (4%). Furthermore, information sharing plays a key role in facilitation and integration of supply chain resilience and sustainability. Since findings indicate the growing importance of global energy consumption and a large research gap in this area, it is highly recommended that future studies focus on supply chain sustainability and resilience in the energy sector. In this research, for the first time, the meta-analysis approach was applied in a resilient and sustainable supply chain, and based on the received information, a conceptual model was proposed that the initial information and conceptual models in previous independent studies did not show.
ملخص الجهاز:
This paper attempted to conduct a meta-analysis of a resilient and sustainable supply chain while proposing a new conceptual model.
In the newly proposed conceptual model, the supply chain resilience and sustainability were contributed by several components including structure (34%), resources (31%), capabilities (13%), innovation and production (7%), and transportation and environmental assessment (4%).
In this research, for the first time, the meta-analysis approach was applied in a resilient and sustainable supply chain, and based on the received information, a conceptual model was proposed that the initial information and conceptual models in previous independent studies did not show.
This study presents a fuzzy-goal programming model for the resilience and sustainable natural gas supply chain in the Iranian gas industry, in a one-year time horizon, including maximizing the service level and total revenue and minimizing the recovery, environmental and economic costs in order to assess trade-offs among them and advice decision makers for the natural gas supply chain management.
Providing a multi-objective optimal model developing a sustainability performance scoring method and probabilistic fuzzy ideal planning approach, They managed to design a sustainable, resilient supply chain through dynamic sustainable performance analysis.
developed a linear multi-objective mixed-integer integrated resilient-sustainable planning model to design a supply chain network under conditions of uncertainty.
presented a multi-objective mathematical modeling of the oil and natural gas supply chain in Iran, that dimensions of resilience such as the service level and penalty per underutilized capacity added to sustainability dimensions of their previous research (Zamanian et al.
(
, 
, 
)
