A possibilistic-robust-fuzzy programming model for designing a game theory based blood supply chain network

Ghasemi, Peiman; Goodarzian, Fariba; Abraham, Ajith; Khanchehzarrin, Saeed

doi:10.1016/j.apm.2022.08.003

Cited by 34 publications

(5 citation statements)

References 38 publications

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“…In the broader context of international trade and its profound impact on both national and local economies, the optimization of data archiving emerges as a matter of paramount importance within PV logistic systems. Improving accessibility to well-maintained document archives for organizations engaged in PV logistics has the potential to catalyze more efficient supply chains and streamline maritime transportation (Goli et al, 2020a;Goli and Mohammadi, 2021;Khanchehzarrin et al, 2021;Ghasemi et al, 2022a;Ahmadi and Ghasemi, 2022;Ghasemi et al, 2022b). These enhancements in the performance of ports and customs operations are poised to yield a positive ripple effect, ultimately bolstering the national economy and facilitating the seamless flow of global trade.…”

Section: Cloud Computing and Transportation Industrymentioning

confidence: 99%

Empowering solar photovoltaic logistic operations through cloud-enabled blockchain technology: a sustainable approach

Pan,

Bayanati,

Vaseei

et al. 2023

Front. Energy Res.

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In a world where renewable energy solutions are in high demand, solar photovoltaic (PV) systems are at the forefront, emphasizing the need for efficient and eco-friendly logistics. This coincides with the rise of blockchain technology as a game-changer in PV system management. Additionally, cloud computing is playing a pivotal role in transforming the IT landscape, providing seamless access to shared computing resources via the Internet. This research introduces a novel framework that utilizes cloud computing to enhance blockchain-based PV logistics. It employs a sophisticated mathematical model to optimize logistics components such as transportation, storage, inventory management, and supply chain coordination, with the goal of minimizing costs and improving overall efficiency. At the heart of this transformative paradigm lies a visionary cloud-based system, endowing PV logistic planners with the power of real-time access to mission-critical data. This infusion of data-driven decision-making capabilities fosters a seamless symphony of communication and enriches collaboration among stakeholders, setting the stage for monumental shifts in efficiency and management, ushering in a new era of sustainability and scalability within the photovoltaic industry. This technological synergy is not just about immediate gains. It is a testament to our commitment to improved energy sustainability and a testament to our shared vision of a greener future. In lockstep with the global pursuit of renewable energy solutions, this research lights the way toward a brighter, more sustainable tomorrow.

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Section: Cloud Computing and Transportation Industrymentioning

confidence: 99%

Empowering solar photovoltaic logistic operations through cloud-enabled blockchain technology: a sustainable approach

Pan,

Bayanati,

Vaseei

et al. 2023

Front. Energy Res.

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“…The results suggested that the growth of the used car export rate to emerging countries can be triggered by Japanese end-of-life vehicle regulation. Moreover, the reverse supply chain is uncertain unlike the forward supply chain (Fazli-Khalaf & Hamidieh, 2017 ; Ghasemi et al, 2022 ) as the demand in case of returns is vaguely uncertain and independent of time constraints. It is noticed that previous studies have not highlighted the effects of different types of return cases on the remanufacturing reverse supply chain.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Ravichandran

Vimal

Kumar

et al. 2023

Environ Dev Sustain

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The study covers the concepts involved in reverse supply chain modeling using the case of a manufacturing company. The purpose of this study is to build a sustainable reverse supply chain model for resource conservation through remanufacturing of stator shafts by using a discrete-event simulation approach. The simulation studies in the reverse supply chain have taken up cases of either plastic or electronic waste remanufacturing, while very limited studies deal with simulation of sustainable reverse supply chains using a manufacturing industry case study from international customers. In this study, reverse supply chain using simulation study in manufacturing sector is carried out using Arena Rockwell simulation software. The simulation model is built using discrete-event simulation for returns from customers of two developed countries, i.e., Germany and the USA to Chennai, India. The study emphasizes full container load and less than container load modes of shipment scenarios and multiple return cases. The comparative analysis suggests that the value-added and non-value-added time of the reverse supply chain is slightly greater in the less container load scenario. The wait time per entity in remanufacturing processes similar for both shipment scenarios varies significantly based on return cases. The cost and carbon emission associated with transportation, in the reverse supply chain inclusive of social carbon cost, have also been estimated. Therefore, the study proposes a possible sustainable reverse supply chain framework that could be adopted by different manufacturing industries and yield opportunities for performance improvement.

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“…Accordingly, Asadpour et al [138] present a mixed integer programming (MIP) model to design a BSC network for plasma in COVID-19 treatment. For the same decision problem as Asadpour et al [138], Baghbani [139] employs a fuzzy programming method, while Ghasemi et al [140] utilize a novel mixed possibilistic-robust-fuzzy programming approach. Li et al [141] propose an allocation model for COVID-19 convalescent plasma.…”

Section: Plasmamentioning

confidence: 99%

“…Finally, solution methods with really limited implementation are classified into this category. Game Theory [140,[171][172][173], Process Mapping [174], Bayesian Networks [149,175], and Taguchi Method [176] are some examples of solution methods categorized in others.…”

Section: Othersmentioning

confidence: 99%

A Systematic Literature Review of the Blood Supply Chain through Bibliometric Analysis and Taxonomy

Imamoglu

Topçu

Aydın

2023

Systems

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The blood supply chain is an inseparable part of health systems. The importance of blood and the difficulties of managing the blood supply chain have led to numerous publications on this topic over the last two decades. This study seeks to reveal the state of the art of the blood supply chain and provide research gaps and future research directions. For this purpose, a mixed review methodology is conducted that includes bibliometric analysis, network analysis, and a six-dimension taxonomy. Bibliometric analysis identifies the most contributing journals, authors, and countries as well as provides popular keywords, while network analysis reveals interactions between these components. Taxonomy clarifies decision models and research gaps with a deeper examination. The electronic database Web of Science is examined to uncover relevant articles. In total, 265 articles are analyzed in detail. The findings reveal that the blood supply chain gathers more interest from researchers, and despite the continuing dominance of the inventory stage, there is an upward trend in the literature for the research of the blood supply chain as a whole. Optimization techniques come forward in the blood supply chain topic as solution methodology. In accordance with the results of bibliometric analysis, network analysis, and taxonomy, six prospective directions for future research are emphasized.

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A possibilistic-robust-fuzzy programming model for designing a game theory based blood supply chain network

Cited by 34 publications

References 38 publications

Empowering solar photovoltaic logistic operations through cloud-enabled blockchain technology: a sustainable approach

Empowering solar photovoltaic logistic operations through cloud-enabled blockchain technology: a sustainable approach

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

A Systematic Literature Review of the Blood Supply Chain through Bibliometric Analysis and Taxonomy

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