Advanced supply chain optimization for emerging market healthcare systems

The complexities of pharmaceutical supply chains in emerging markets present significant challenges that directly impact healthcare outcomes, particularly in underserved regions. This research focuses on the optimization of supply chain systems for the healthcare sector, with an emphasis on enhancing pharmaceutical delivery. By leveraging data analytics and innovative procurement strategies, the study seeks to improve efficiency, reduce operational costs, and ensure the timely distribution of essential medications. Drawing on practical experiences at eMedic Technologies Africa, the research highlights the need for advanced models that integrate real-time data to optimize inventory management, forecast demand, and address bottlenecks in last-mile delivery. The study proposes a multi-faceted approach to addressing common challenges in emerging market supply chains, including unreliable infrastructure, fluctuating demand, and limited access to technology. By utilizing predictive analytics, the proposed models aim to improve accuracy in demand planning, reducing stockouts and overstock situations. Additionally, innovative procurement strategies, such as centralized procurement and strategic partnerships with local suppliers, are explored as key methods for enhancing cost-effectiveness and streamlining supply chain operations. A critical component of the research is the focus on last-mile delivery, which remains a significant hurdle in rural and underserved areas. The study advocates for the use of digital platforms and mobile technologies to enhance delivery tracking and coordination, ensuring that essential medications reach their destination efficiently. Furthermore, it emphasizes the importance of fostering collaboration between governments, non-governmental organizations, and private sector stakeholders to build resilient supply chain systems capable of adapting to local conditions. By providing actionable insights and scalable models for supply chain optimization, this research aims to contribute to improved healthcare delivery in emerging markets. The proposed strategies not only reduce costs and improve efficiency but also ensure a reliable and consistent supply of medications, ultimately leading to better health outcomes in regions most in need. Keywords: Supply Chain Optimization, Data-Driven Procurement, Last-Mile Delivery, Healthcare Efficiency, Emerging Markets

Authors

Publication Details

Journal
International Journal of Management & Entrepreneurship Research
Published
2024-10-16
DOI
https://doi.org/10.51594/ijmer.v6i10.1637
Citations
2
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
1.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced supply chain optimization for emerging market healthcare systems

Victor Alemede, Precious Azino Usuemerai, Olumide Emmanuel Ibikunle, Akachukwu Obianuju Mbata et al.
2 citations
International Journal of Management & Entrepreneurship Research
Quality and Supply Management
1.06
article

Advanced supply chain optimization for emerging market healthcare systems

Victor Alemede, Precious Azino Usuemerai, Olumide Emmanuel Ibikunle, Akachukwu Obianuju Mbata, Luqman Adewale Abass, Ejike Innocent Nwankwo
article en
2 citations

Abstract

The complexities of pharmaceutical supply chains in emerging markets present significant challenges that directly impact healthcare outcomes, particularly in underserved regions. This research focuses on the optimization of supply chain systems for the healthcare sector, with an emphasis on enhancing pharmaceutical delivery. By leveraging data analytics and innovative procurement strategies, the study seeks to improve efficiency, reduce operational costs, and ensure the timely distribution of essential medications. Drawing on practical experiences at eMedic Technologies Africa, the research highlights the need for advanced models that integrate real-time data to optimize inventory management, forecast demand, and address bottlenecks in last-mile delivery. The study proposes a multi-faceted approach to addressing common challenges in emerging market supply chains, including unreliable infrastructure, fluctuating demand, and limited access to technology. By utilizing predictive analytics, the proposed models aim to improve accuracy in demand planning, reducing stockouts and overstock situations. Additionally, innovative procurement strategies, such as centralized procurement and strategic partnerships with local suppliers, are explored as key methods for enhancing cost-effectiveness and streamlining supply chain operations. A critical component of the research is the focus on last-mile delivery, which remains a significant hurdle in rural and underserved areas. The study advocates for the use of digital platforms and mobile technologies to enhance delivery tracking and coordination, ensuring that essential medications reach their destination efficiently. Furthermore, it emphasizes the importance of fostering collaboration between governments, non-governmental organizations, and private sector stakeholders to build resilient supply chain systems capable of adapting to local conditions. By providing actionable insights and scalable models for supply chain optimization, this research aims to contribute to improved healthcare delivery in emerging markets. The proposed strategies not only reduce costs and improve efficiency but also ensure a reliable and consistent supply of medications, ultimately leading to better health outcomes in regions most in need. Keywords: Supply Chain Optimization, Data-Driven Procurement, Last-Mile Delivery, Healthcare Efficiency, Emerging Markets

International Journal of Management & Entrepreneurship ResearchVol. 6(10)
Partnerships for the goals
Openalex Percentile: Top 17%
Quality and Supply Management
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.