Current Volume 9
In this review article, the ways in which lean and green supply chain management may work in tandem to optimize the logistics network operation in Saudi Arabia in the era of Vision 2030 will be considered. It is necessary to mention that there is an identified knowledge gap within the existing literature in terms of the approaches applied for the optimization of Saudi logistics. In particular, while logistics modernization in Saudi Arabia is commonly discussed from the perspective of efficiency and logistics hubs or sustainable development and emissions reduction, there is a lack of discussion about the integrated use of lean and green practices. Within the framework of the structured literature review, this paper will analyze peer-reviewed sources and the latest government reports in relation to logistics in Saudi Arabia, its policy, optimization, digitalization, sustainability, and the achievement of Vision 2030 goals, which were published during 2020-2025. As the results of the analysis show, there are certain lean practices such as value stream mapping, inventory optimization, flow coordination, slotting, routing discipline, and root cause problem solving, which, when combined with sustainable practices such as modal shift, fleet optimization, warehouse energy management, re-engineering of logistics packages, reverse logistics, and carbon footprint tracking, can contribute to more effective operation of Saudi logistics networks.
Lean Supply Chain, Green Logistics, Logistics Network Optimization, Saudi Arabia, Vision 2030, Warehousing, Transport Efficiency, Sustainable Supply Chain Management
IRE Journals:
Khalid Mohamed Abdelwahab Saeed "Optimizing Logistics Network Operations in Saudi Arabia through Lean and Green Supply Chain Management under Vision 2030" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 4544-4554 https://doi.org/10.64388/IREV9I11-1717520
IEEE:
Khalid Mohamed Abdelwahab Saeed
"Optimizing Logistics Network Operations in Saudi Arabia through Lean and Green Supply Chain Management under Vision 2030" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717520