جستجوی مقالات مرتبط با کلیدواژه "sustainable supply chain" در نشریات گروه "محیط زیست"

In recent times, there has been a growing recognition of the importance of circular business models (CBM) in advancing environmental sustainability. However, the relationship between CBM and the Internet of Things (IoT) has received little attention in current academic discussions. This paper seeks to fill this gap by initially identifying four key capabilities of IoT—namely monitoring, tracking, optimization, and design evolution—using the ReSOLVE framework to enhance the performance of CBM. Subsequently, through a systematic literature review employing the PRISMA approach, the paper examines how these IoT capabilities contribute to the principles of "Reduce, Reuse, Recycle, Redesign, Remanufacture, and Recover" (the 6R) and CBM. The analysis utilizes cross-section heatmaps and relationship frameworks to elucidate the interaction between CBM and IoT. Additionally, the paper evaluates the quantitative impact of IoT on potential energy savings within CBM contexts. The findings underscore a predominant focus on assessments related to Loop and Optimize business models, where IoT significantly aids through tracking, monitoring, and optimization capabilities. However, there is a noticeable scarcity of (quantitative) case studies concerning Virtualize, Exchange, and Regenerate CBM models, indicating the necessity for further research in these domains. Notably, IoT exhibits promise in reducing energy consumption by approximately 20–30% across referenced applications in the literature. Nonetheless, challenges such as IoT hardware, software and protocol energy consumption, interoperability, security, and financial investments may hinder its wider adoption in CBM practices.

Sustainable supply chain management is a new approach in the discussion of supply chain management, which is considered based on the concepts of sustainability triangle (Economic, Environmental, Social). In the meantime, choosing a sustainable supplier is a strategic key to success in managing the sustainable supply chain of organizations. Choosing the best supplier according to different and sometimes conflicting criteria complicates the problem that using multi-criteria decision making methods is one of the best ways to solve these problems. On the other hand, the choice of supplier is strongly dependent on the opinion of decision makers, and due to the incompleteness of available information, we face a kind of uncertainty.

 In this paper, the issue of choosing a sustainable supplier in Cement Company is examined. To do this, the combined SWARA and CoCoSo fuzzy approach was used to weight the criteria and rank the suppliers. In the first stage, after collecting the criteria for selecting a sustainable supplier based on the research literature, the criteria were weighted using experts and the F-SWARA method.

The weighting results showed that the economic dimension (0.555) had the highest importance and the environmental (0.296) and social dimensions (0.146) were in the second and third places. Among the criteria, product price (0.284), environmental standards (0.154) and product quality (0.140) gained the highest weight, respectively. Supplier ratings were then calculated using the new F-CoCoSo method, and supplier ratings were obtained for final decision.

According to the criteria of a sustainable supply chain in this study, managers and owners of various industries and businesses according to the findings of this study can choose the right supplier who lives from all three economic dimensions. Environmentally and socially appropriate, take steps and enjoy its benefits.

Today, sustainable activities are essential for maintaining environmental sustainability, and have attracted a significant part of the environmental economy. The occurrence of environmental pollution in the industry and its dissemination throughout the supply chain tend to overcome sustainability. The purpose of this paper is to identify environmental indicators that affect the sustainable supply chain in the cement industry and rank the chain of the industry in such a way as to prevent the occurrence of Prevention.

For this purpose, factor analysis and fuzzy vikor decision making technique have been used.

Effective indicators are identified and explained in four levels of sustainability, strategic, process and operational. Then, according to the determined indicators of environmental performance of the sustainable supply chain, 42 factories listed on Tehran stock exchange ranked. The results of the implementation of the model show that the stability level has the highest correlation with the current variable supply chain performance and this correlation is 44%. Operating surface weight was 40%, the strategic level was 23% and the process level was 12%.

The results show that sustainability indices in the sustainable supply chain of the cement industry are more important in preventing the occurrence of environmental Prevention. And the sustainable supply chain of the Ilam factory has been ranked in the first rank and supply chain of Bagher Factory based on environmental indicators.

Supply chain sustainability is one of the newfound concepts in operation and production management that emphasizes on social and enviromental issues beside financial performance in network organizations. The aim of this study is to identify and prioritize the factors contributing to supply chain sustainability in food industries. To achieve these goals, in the first step, it is attempted to identify the factors affecting a sustainable agriculture supply chain (citrus fruits).
In this step, extensive literature review in relation to sustainable agriculture/food supply chain was identified, and the overall indicators affecting the agricultural supply chain were extracted. In the second step, the extracted factor indicators were categorized in sustainable supply chain dimensions (economic, social, and environmental) in agriculture sector (citrus fruits). In the next step, by using analytic network process technique, the weight of criteria was identified.
Findings: In this section, the pairwise comparisons and relative weights were calculated by Super Decision software and after the formation of super matrixes, the final weights of 9 main indicators of supply chain sustainability in agricultural sector were determined.
The obtained results reveal that efficiency and market focus, water consumption, energy consumption, waste recycling, transport, volume of hiring, the quality of hire, and balance in hiring are the most important criteia. According to the experts’ judgement, economic dimension (0.488) had a heavier weight compared to two ather dimensions of sustainability. This implies that it is a necessity to pay attention to the efficiency of the energy sector and sustainable agriculture supply chain in our country.