Integration of Blockchain Technology and Prioritization of Deployment Barriers in the Blood Supply Chain

Meidutė‐Kavaliauskienė, Ieva; Yazdi, Amir Karbassi; Mehdiabadi, Amir

doi:10.3390/logistics6010021

Cited by 6 publications

(4 citation statements)

References 71 publications

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“…In the literature, some scholars investigated medical and pharmaceutical waste recycling networks as supply chain network design and construction problems. The supply chain management helps companies to reduce operating costs, speed up processes, and ultimately increase customer satisfaction [13]. A number of these studies are presented.…”

Section: Literature Reviewmentioning

confidence: 99%

A Mathematical Optimization Model for the Pharmaceutical Waste Location‐Routing Problem Using Genetic Algorithm and Particle Swarm Optimization

Aghakhani,

Pourmand,

Zarreh

2023

Mathematical Problems in Engineering

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Pharmaceutical waste management is a significant concern that poses risks to human and environmental health. The ineffective management of expired and unused medications can harm individuals and communities. This study proposes a novel approach to address the issue of pharmaceutical waste management by developing a location-routing problem (LRP) model using mixed-integer linear programing (MILP) to optimize the collection and disposal of pharmaceutical waste. The proposed model aims to minimize transportation costs, construction of collection centers, disposal costs, and carbon dioxide emissions, making it a cost-effective and environmentally sustainable approach to managing pharmaceutical waste. Initially, the feasibility, validity, and efficiency of the proposed model are examined by solving the problem in the GAMS software using CPLEX solver for small-scale problems. Sensitivity analyses are conducted to ensure the accuracy, reliability, robustness, and usefulness of the mathematical model for decision-making. In view of the inherent computational complexity of the proposed model, which is classified as nondeterministic polynomial time-hard and poses considerable difficulties when exact solutions are sought for large-scale problems, the present study resorts to two metaheuristic algorithms, specifically particle swarm optimization (PSO) and genetic algorithm (GA), as a means minimizing the computational burden. The results indicate that GA outperforms PSO in terms of objective function and solution time, with an average improvement of approximately 1% and 20%, respectively. The proposed model and algorithms provide a comprehensive approach to addressing the critical issue of pharmaceutical waste management, benefiting the healthcare industry, and society as a whole.

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Section: Literature Reviewmentioning

confidence: 99%

A Mathematical Optimization Model for the Pharmaceutical Waste Location‐Routing Problem Using Genetic Algorithm and Particle Swarm Optimization

Aghakhani,

Pourmand,

Zarreh

2023

Mathematical Problems in Engineering

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“…The results showed that business owners' unwillingness was the highest priority among the nine obstacles. Additionally, blockchain implementation for blood and drug supply chain management requires more payment [18]. [23].…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-stage Optimization Strategy Based on Fuzzy QFD and Fuzzy Swara to Adopt Blockchain Technology in the Drug Supply Chain

Yazdi

2023

JERR

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Introduction: Utilizing blockchain technology helps to address issues that the supply chain faces, including the intricate connections between chain network members, regulation of the distribution network, and inventory management. Objective: To adopt blockchain technology in the drug supply chain, this study aims to offer a multi-stage optimization strategy based on Swara and QFD approaches and a zero-one nonlinear optimization problem employing a fuzzy approach. Methods: First, field and library research was conducted to identify the barriers to the adoption of blockchain technology in the drug supply chain and the ways to overcome these barriers. The relevance of the barriers is ascertained using the fuzzy Swara approach following their refinement employing the Friedman test. The output is entered as an input in the house of quality (HOQ) rows, while the barrier-reducing techniques are presented in the columns. These approaches to reducing barriers are arranged in rows in the second phase of the house of quality. Results: Among the criteria of the barrier-reduction approach, the Performance Expectancy criterion with a score of 0.0521 has the greatest score, and the criterion of Focusing on the Major Points has the minimum score, as determined by the findings of the fuzzy Swara model. The criterion of Enhancing Transparency with a score of 0.5374 and Reducing Risk with a score of 0.4045 have the maximum, and Sustainability Performance with a score of 0.07 has the minimum score, according to the findings concerning the objectives of blockchain technology adoption in the drug supply chain. The criterion of lack of customers' awareness and attitude about sustainability and blockchain technology has the greatest score among the barriers to adoption, scoring 0.521, and the criterion of difficulty in altering organizational culture, scoring 0.033, has the minimum value. Conclusion: Based on the results of the fuzzy house of quality, we concluded that, for the adoption of blockchain technology in the drug supply chain, the eighth (long-term perspective), first (performance expectation), and tenth (focused on the primary strengths) strategies are more beneficial. In addition, it was demonstrated that the second (Effort Expectation), ninth (information sharing), and sixth (Trust) strategies have poor rankings.

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“…The use of a blockchain is proposed to ensure the integrity of the data. Another proposition for the use of blockchains to trace the blood supply as part of supply chain management for blood supply hubs is made in [48].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of an Electronic Controller for Accurate Temperature Management for Storage of Biological and Chemical Samples in Healthcare

Ilchev

2024

Computation

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This paper presents the design and development of an electronic controller for accurate temperature management for the storage of biological and chemical samples in healthcare applications. In the introduction, some important application aspects related to the use of temperature control devices in healthcare are discussed. Keeping these aspects in mind, a brief overview of some related works is presented. The findings are then translated to specific requirements for an electronic controller, which is to be used in a temperature control device. These requirements made necessary the development of a custom controller, as no readily available solutions could be obtained. The paper proceeds with the design of a suitable architecture and discusses some of the design choices. Then, some implementation details are presented and the prototype controller, together with its user interface, is illustrated. Experiments are conducted and several points for improvement are identified. Overall, the main task of keeping accurate, traceable temperature at all times is accomplished successfully, and the electronic controller proves to be a viable solution that conforms to the identified requirements. Future versions will improve the speed of the temperature adaptation and include better user interface and wireless connectivity for remote monitoring and control.

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Integration of Blockchain Technology and Prioritization of Deployment Barriers in the Blood Supply Chain

Cited by 6 publications

References 71 publications

A Mathematical Optimization Model for the Pharmaceutical Waste Location‐Routing Problem Using Genetic Algorithm and Particle Swarm Optimization

A Mathematical Optimization Model for the Pharmaceutical Waste Location‐Routing Problem Using Genetic Algorithm and Particle Swarm Optimization

A Multi-stage Optimization Strategy Based on Fuzzy QFD and Fuzzy Swara to Adopt Blockchain Technology in the Drug Supply Chain

Design and Development of an Electronic Controller for Accurate Temperature Management for Storage of Biological and Chemical Samples in Healthcare

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