Abstract:
This study, titled “Navigating the Chaos: Optimizing Humanitarian Supply Chains in Disaster-Hit Areas of Pakistan through International NGOs and Aid Agencies,” examines some of the more critical challenges in humanitarian supply chain management during disaster scenarios in Pakistan. Drawing from primary data collected through a mixed-methods approach - comprising 70% quantitative analysis of survey data directly from the NGO, Aid and governmental sectors, and 30% qualitative insights from interviews with relevant experts and stakeholders, the research paper examines the relevance and impact of key variables such as planning, coordination, ICT tools, transportation, and policy frameworks. The paper aims to highlight the unique operational hurdles faced by international NGOs and aid agencies, focusing particularly on infrastructure deficits, lack of coordination among stakeholders, and policy constraints (Ali & Bashir, 2021; Khan et al., 2022) . By integrating statistical analyses such as correlation, regression, and ANOVA with qualitative narratives, the study uncovers actionable strategies for optimizing supply chain efficiency in disaster-hit areas (Ahmed et al., 2020; Noor et al., 2021). A conceptual framework is developed, emphasizing the role of pre-disaster planning, technological integration, collaborative partnerships, and adaptive policies in enhancing delivery speed, cost efficiency, and service quality (Malik & Sharqa, 2021; Agha & Younis, 2023). This framework addresses the identified research gap by proposing a holistic, scalable, and context-specific approach to humanitarian logistics in Pakistan (Nasir et al., 2022; Mariam & Khan, 2023). The findings are expected to contribute productively to the body of knowledge on humanitarian supply chain management, while providing practical recommendations for policymakers, international aid organizations, and local stakeholders. Ultimately, this research aims to strengthen disaster relief efforts, ensuring timely and effective aid delivery to some of the most vulnerable communities in Pakistan (Danish et al., 2023).
