A Neutrosophic Decision-Making Methods of the Key Aspects for Supply Chain Management in International Business Administrations

Ather Abdulrahman

doi:https://doi.org/10.54216/IJNS.230114

International Journal of Neutrosophic Science | 2023

A New Hybrid Neutrosophic Multi-Criteria Decision Methodology Model for Ranking Risks in International Business Administration

Due to the complexity and unpredictability of today's globalized business world, managing an international business administration (IBAS) is not without its share of risks. The necessity of efficient risk management in international business administrations is highlighted, and a summary of the main hazards that companies encounter when doing business across borders is provided in this paper. The political, economic, legal, cultural, operational, financial, compliance, competitive, environmental, sustainability, and cybersecurity risks are identified and categorized in the paper as the most significant risks in international company administrations. It stresses how important it is to recognize and manage these threats to international corporate success and longevity. This article examines the effects of political risks on international commerce, including political instability, changes in government policy, and trade barriers. It draws attention to economic risks that might have an impact on pricing, profitability, and financial performance, such as swings in exchange rates, inflation, and economic instability. This work applied the neutrosophic set with multi-criteria decision-making (MCDM) models to rank the risks in IBAS. This paper used the neutrosophic MABAC and neutrosophic COPRAS methods to rank these risks. These methods are compared with the PROMETHEE method. The results show the suggested technique is an effective model to deal with this kind of problem.

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Ather Abdulrahman Ageeli mail

link https://doi.org/10.54216/IJNS.220103

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

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Journal of Sustainable Development and Green Technology | 2023

Smart Supply Chain management for Sustianble Business Administrations

The integration of smart supply chain technologies has emerged as a catalyst for reshaping the landscape of sustainable business administrations. This paper presents a comprehensive investigation into the dynamic relationship between smart supply chains and sustainability, examining their intricate interplay and the transformative potential they hold for modern supply chain management. Leveraging an ensemble of three machine learning models—Decision Trees, Support Vector Machines, and Logistic Regression—we analyze extensive datasets encompassing supply chain operations. Our findings demonstrate that the strategic deployment of smart technologies enhances predictive accuracy, informs data-driven decision-making, and optimizes supply chain processes. This research underscores the pivotal role of smart supply chains in achieving sustainability objectives. By fusing predictive accuracy with data-driven decision-making, our research underscores the pivotal role of smart supply chains in achieving sustainable business practices. The insights presented herein offer not only academic contributions but also actionable guidance for businesses navigating the intricacies of modern supply chain management.

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Ather Abdulrahman Ageeli mail

link https://doi.org/10.54216/JSDGT.030105

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

A Neutrosophic Decision-Making Methods of the Key Aspects for Supply Chain Management in International Business Administrations

The importance of supply chain management in the field of international business administration is investigated in this study. Global businesses rely heavily on effective supply chain management, which coordinates the international transfer of materials, data, and money. The paper illuminates the critical nature of supply chain management on a worldwide scale. Distance, cultural differences, legal constraints, and logistics are only some of the problems and complexity of international supply chain management that are explored in this article. Topics covered include supplier selection and management, demand forecasting, inventory control, transportation, and distribution network design, as well as other techniques used by businesses to improve their worldwide supply chains. The study also discusses how international supply networks are affected by globalization, free trade agreements, and geopolitical considerations. Organizational strategies for overcoming hurdles such as tariffs, quotas, and political instability in international commerce are discussed. This paper used the neutrosophic sets (NSs) to deal with uncertainty in assessment factors of supply chains in international business. The NS is integrated with the DEMATEL method. The neutrosophic DEMATEL is used to show relationships between factors.

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Ather Abdulrahman Ageeli mail

link https://doi.org/10.54216/IJNS.230114

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new