Articles
http://hdl.handle.net/20.500.14131/256
2024-03-26T06:41:29ZAnalyzing the causes and impact of essential medicines and supplies shortages in the supply chain of the Ministry of health in Saudi Arabia: A quantitative survey study
http://hdl.handle.net/20.500.14131/1466
Analyzing the causes and impact of essential medicines and supplies shortages in the supply chain of the Ministry of health in Saudi Arabia: A quantitative survey study
Balfaqih, Hasan
Background: Investigating the causes and impact of essential medicines and supplies shortages in the supply chain
of the MOH in Saudi Arabia could be the initial step in setting innovative strategies for mitigating this issue. This
study aimed to identify the key factors contributing to essential medicines and supplies shortages in the supply
chain of the MOH in Saudi Arabia and assess their impact on healthcare delivery.
Methods: A structured questionnaire was designed to collect relevant data on the causes and impact of essential
medicines and supplies shortages. A representative sample of healthcare professionals, from various healthcare
MOH facilities in Saudi Arabia. The Statistical Package for the Social Sciences (SPSS) software version 26 was
used for the data analysis.
Results: A total of 379 respondents participated in the study, 73.7% were males, 51.2% were aged 36–45 years,
23.5% were supply chain professionals, and 32.9% reported an experience of >15 years. 90.0% of the participants
reported that they personally have experienced shortages of essential medicines and supplies in the MOH
supply chain in KSA. Inadequate planning, forecasting, and procurement were identified as the most significant
contributing factors for shortages by about half (48.5%). At least two-thirds of the participants agreed with all
strategies adopted for mitigating the issue of shortages.
Conclusions: The impact of shortages on patients and healthcare professionals was found to be substantial. The
study also identified several key strategies to reduce shortages that received strong support from the participants.
2024-02-14T00:00:00ZImpact of Colloabroative Planning, Forecasting and Replenishment (CPFR) on Supply Chain Performance
http://hdl.handle.net/20.500.14131/1429
Impact of Colloabroative Planning, Forecasting and Replenishment (CPFR) on Supply Chain Performance
Aljehani, Raghad
2020-12-01T00:00:00ZArtificial Intelligence and Smart Logistics Systems in Industry 4.0
http://hdl.handle.net/20.500.14131/1041
Artificial Intelligence and Smart Logistics Systems in Industry 4.0
Balfaqih, Hasan
AI applications are essential to smart logistics sector for industrial enterprises and for the fourth industrial revolution (Industry 4.0). The aim of this study is to analyze the variables that affect smart logistics and assess the efficiency of artificial intelligence applications on smart logistics. Further, the applications technology and AI has studied and the variables that influence on the adoption of AI are still unknown in this study. Moreover, the main investigation of this study is to find the impact of efficient factors on AI through integrating technology. The finding indicates the large-scale smart logistics system has a substantial impact on industrial organizations and businesses by utilizing AI applications of communication and information technology. Additionally, AI is able to offer supply chain logistics with technological assistance that combine big data, IoT, and cloud computing.
2023-03-01T00:00:00ZSupply Chain Agility Quantification and Analysis
http://hdl.handle.net/20.500.14131/783
Supply Chain Agility Quantification and Analysis
Almaktoom, Abdulaziz
Market fluctuations and harsh business environments are known to affect the performance of supply chain networks. To maintain an acceptable response time while coping with varying market fluctuations and potential business disruptions, agility of supply chain networks is desirable. The purpose of the research described here is to develop a mathematical model to measure the agility of members of any given supply chain network. The model is tested using stochastic simulation and a case study. The importance of this research lies in the fact that there is a huge gap in understanding of the concept of supply chain agility and how it can be measured.
2019-03-01T00:00:00Z