Assessing automation of distribution operations at joint medical store in Uganda

Abstract

The study investigated the automation of distribution operations at Joint Medical Store (JMS) in Uganda. The study was premised on three objectives; to examine the automation practices of distribution operations at Joint Medical Store (JMS),) To assess the challenges faced in automating distribution operations at Joint Medical Store (JMS) and to establish strategies for improving the automation of distribution operations at Joint Medical Store (JMS). The study employed a descriptive cross sectional research design with a quantitative study approach which involved collecting numerical data from 85 respondents out of a sample of 108 JMS staff, using a survey questionnaire. Data were analyzed using the statistical package for social science (SPSS Version 27). Findings on automation practices revealed high adoption levels, with automated order processing systems ranked highest (mean = 4.33), followed by barcode scanners, regular system updates, and integration procedures, all rated “high” or “very high.” However, some practices like inventory management and staff training showed moderate variability, indicating room for improvement. Regarding challenges, network interruptions (mean = 3.57) and limited funding (mean = 3.43) were the most significant barriers, while technical skill gaps and lack of specialized personnel were rated as moderate. Staff resistance and infrastructure limitations were ranked lowest, though still relevant. In terms of improvement strategies, allocating more funding (mean = 3.83), providing refresher courses (mean = 3.80), and enhancing training programs (mean = 3.78) received strong support, while infrastructure upgrades and procurement reforms were rated moderately. Overall, the results highlight a strong foundation for automation at JMS, tempered by technical and organizational constraints that require strategic investment and capacity building. Therefore, the study recommends allocating dedicated funding for automation initiatives to ensure consistent investment in technologies that enhance distribution efficiency, including inventory management systems, barcode scanners, and real-time tracking tools. It further recommends enhancing staff training programs to build technical competence and confidence in using these tools through structured onboarding, role-specific instruction, and continuous learning. To strengthen system reliability and reduce dependence on external support, the study also recommends recruiting specialized technical personnel to maintain and optimize automation systems. Subject keywords; Automation, Distribution operations, Joint medical store, Uganda