Modeling the enablers for blockchain technology adoption in renewable energy supply chain

Sahebi, Iman Ghasemian; Mosayebi, Alireza; Masoomi, Behzad; Marandi, Fateme

doi:10.1016/j.techsoc.2022.101871

Cited by 56 publications

(26 citation statements)

References 71 publications

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“…The purpose of anyone active in the supply chain is to increase competitiveness or increase customer service [33]. The supply chain considers all the organizations involved [32][33][34]. This shows the effect of cost and time on customer satisfaction.…”

Section: Model Formulationmentioning

confidence: 99%

The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty

Meidutė‐Kavaliauskienė

Yıldırım

Ghorbani

et al. 2022

Sustainability

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The value of superior supply network design is becoming increasingly important, especially in the perishable supply chain. Due to the recent developments in perishable products, perishable product supply chain (PPSC) management has attracted many researchers. The purpose of this study was to present a multi-period and multi-echelon perishable supply chain with regards to procurement time, cycle cost, and customer satisfaction. This study presented a new form of location-routing in a supply chain network for perishable products, accounting for environmental considerations, cost, procurement time, and customer satisfaction, such that the total costs, delivery time, and the emission of pollutants in the network were minimized while customer satisfaction was maximized. We formulated the problem as a multi-objective, nonlinear, mixed-integer program and the hybrid approach was proposed to solve the model. The mean error of the proposed algorithm for the objective function compared to the exact method in solving the sample problems was less than 3.4%. The computational results revealed the efficiency of the proposed algorithm for a wide range of issues of various sizes.

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Section: Model Formulationmentioning

confidence: 99%

The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty

Meidutė‐Kavaliauskienė

Yıldırım

Ghorbani

et al. 2022

Sustainability

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show abstract

“…The first case is that the truck moves towards another customer and the second moves towards one of the cross-docks (cd). Constraint (7) ensures that if the incoming truck (i) moves from the source customer (cm) to the destination customer (cn), it selects one of two modes to exit the destination customer (cn). The first case is that the truck moves towards another customer and the second moves towards one of the cross-docks (cd).…”

Section: Description Of Objective Functions and Constraintsmentioning

confidence: 99%

“…The first case is that the truck moves towards another customer and the second moves towards one of the cross-docks (cd). Constraint ( 8) is similar to constraint (7), and the difference between these two constraints is that in constraint (8), the outgoing truck (j) is considered in the constraint, and the third case, the outgoing truck crosses from a cross-dock to another cross-dock. Constraint (9) ensures that if the incoming truck (i) moves from the supplier (s) to customer (c), it selects one of two modes to exit the customer (c).…”

Section: Description Of Objective Functions and Constraintsmentioning

confidence: 99%

“…Classic supply chain management for transporting goods from suppliers to the distribution centre requires warehousing for storage [3] and then packaging and shipping to customers [4], according to their demand [5]. This form of supply chain management has high inventory maintenance costs and human resources costs [6,7]. In other words, there are four stages of receiving, storage, order selection, and sending in traditional warehouses [8].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Multi Cross-Docking Systems with a Multi-Objective Green Location Routing Problem Considering Carbon Emission and Energy Consumption

Meidutė‐Kavaliauskienė

Sütütemiz

Yıldırım

et al. 2022

Energies

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Cross-docking is an excellent way to reduce the space required to store goods, inventory management costs, and customer order delivery time. This paper focuses on cost optimization, scheduling incoming and outgoing trucks, and green supply chains with multiple cross-docking. The three objectives are minimizing total operating costs, truck transportation sequences, and carbon emissions within the supply chain. Since the linear programming model is an integer of zero and one and belongs to NP-hard problems, its solution time increases sharply with increasing dimensions. Therefore, the non-dominated sorting genetic algorithm-II (NSGA-II) and the multi-objective particle swarm optimization (MOPSO) were used to find near-optimal solutions to the problem. Then, these algorithms were compared with criteria such as execution time and distance from the ideal point, and the superior algorithm in each criterion was identified.

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“…In Iran, the application of the blockchain technology in the healthcare domain has faced numerous shortcomings inclusive of expertise absence, cost, and security issues, in addition to uncertain state policies [14]. In a similar viewpoint, studies such as that by Sahebi, Mosayebi, Masoomi, and Marandi (2022) [22] showcase that Iran policymakers must establish policies that ensure the development of blockchain technology-driven renewable energy supply chains.…”

Section: Blockchain Technology In the Gulfmentioning

confidence: 99%

Framework Model to Enhance the Effectiveness of Blockchain Technology through the Knowledge Management Processes

AlBadri

2022

Teh. glas. (Online)

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This study topic is essential since it highlights the challenges facing the effective integration of blockchain technology and the necessary measures to improve their performance through knowledge management processes. The primary aim of this study was to develop a framework model for advancing the effectiveness of blockchain technology in the Middle East and the Gulf region. For this study, the researchers collected secondary data by conducting a deep systematic review of all the information found online on the topic. The researchers selected essential studies by integrating an inclusion and exclusion criteria. This research exclusively included articles released post-2019 to guarantee that they contained relevant information. In addition, studies had to be in English to ensure clarity for all the researchers involved. The authors collected the secondary data through the GovInfo.gov database as well as the Google Scholar search engine. After the comprehensive reviewing of all the relevant articles that fit the inclusion and exclusion criteria, fifteen articles were included in the research. Out of the fifteen, eight focused on the Middle East and the rest on the Gulf. Conclusion: The development of blockchain technology in the Middle East and the Gulf region has witnessed tremendous improvements over the years. Many sectors like healthcare and banking industries have dedicated efforts to applying the technology in their processes. However, the technology has faced numerous challenges that need immediate address to ensure the ultimate success of this technology. The concerned policymakers should research on the topic and develop appropriate policies that guarantee the effectiveness of the technology.

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Modeling the enablers for blockchain technology adoption in renewable energy supply chain

Cited by 56 publications

References 71 publications

The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty

The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty

Optimizing Multi Cross-Docking Systems with a Multi-Objective Green Location Routing Problem Considering Carbon Emission and Energy Consumption

Framework Model to Enhance the Effectiveness of Blockchain Technology through the Knowledge Management Processes

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