Optimizing Decision-Making in Global Supply Chains
Keywords:
Supply Chain Optimization, Decision-Making, Data Analytics, Global Management, SustainabilityAbstract
The study explores advanced decision-making strategies within global supply chains, focusing on optimization models that enhance efficiency and resilience. By integrating data analytics with traditional management techniques, the research addresses critical challenges faced by multinational corporations. The findings provide insights into cost reduction and service level improvements, promoting sustainable practices in supply chain management.
References
Jeyhun, R., Elshan, R., Naila, A., & Aydin, N. (2025). Effectiveness of Internet of Things migration into hybrid economic projects.
Rahimov, J., Rahimov, E., Nasirzade, A., & Yusifli, P. (2025). Economic aspects of projects based on the Internet of Things. Innovation and Sustainability Articles, 5(4), 31-44.
оглу Рагимов, Э. Р., & оглу Искендерзаде, Э. Б. (2023). ЭФФЕКТИВНЫЕ МЕТРОЛОГИЧЕСКИЕ АСПЕКТЫ ПРИМЕНЕНИЯ НАНОТЕХНОЛОГИЧЕСКОЙ ПРОДУКЦИИ В ТРАНСПОРТНОЙ СФЕРЕ. Сетевое издание «Нефтегазовое дело», (1), 126-142.
Kelmendi, J., Beqiri, A., Shuajibi, E., Talibzade, O., & Ketners, K. (2025). The impact of geopolitical tensions on global supply chains and international trade. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(2).
Moraliyska, M. (2025). Reshoring Supply Chains in EU-US Collaboration after COVID: A Case Study Analysis. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 12(2), 497-521.
Rzayeva, F. Reframing Labor Market Transitions in a Digital Economy: Evidence from Azerbaijan's Automation and Digitalization Trends. Available at SSRN 5340706.
