Global economic competition is leading companies to improve their competitiveness by increasing production and eliminating the main obstacles to the process of making products available. This approach concerns both SMEs and SMIs as well as multinationals. Thus, the Compagnie Minière de l’Ogooué (COMILOG), a subsidiary of the French group ERAMET, which until recently had a monopoly on manganese mining in Gabon, must now face competition from Asian operators. To export its ore, COMILOG must first transport it by rail for nearly 650 km, from the Moanda site (south-east of the country) to the port of Owendo. However, port operations, which until then took place exclusively during the day, limited the company’s export capacities and the profits made, while increasing the stopover time of ships and their operating costs. To remedy this, the French company introduced nighttime docking and departures. This work addresses the challenges of the performance of port operations at the Owendo ore terminal and the security and natural risks of night manoeuvres. The general objective of the study is to assess the impact of these night services on ship traffic, on the one hand, and to identify the related socio-economic and security issues, on the other hand. Data collection was carried out using documentary research in libraries and research centres, consultation of websites, semi-directed interviews, questionnaire surveys and participatory observation. The sample of 50 people surveyed took into account management staff, supervisors and line managers, integrating the diversity of actors involved in the processing of ships calling at the port of Owendo. Finally, the surveys attest to a clear reduction in the time spent by ships at the Owendo Ore Port and an increase in their number calling. They also confirm the improvement in tonnages embarked and the improvement in turnover achieved by COMILOG. This study led to the conclusion that the introduction of night manoeuvres at the port of Owendo allowed COMILOG to increase its exports and the number of ore carriers received in stopover and then improve its turnover.

The study examined the mediating role of supply chain security performance on the relationship between supply chain security practices and supply chain disruptions occurrences in the manufacturing industry in Ghana. Drawing on a survey of 336 manufacturing firms, dynamic capability, and contingency theories were applied using structural equation modeling (SEM) to test the conceptual model. It was discovered that both direct and indirect hypotheses supported the findings of the study. The results indicate that Ghanaian manufacturing firms have made progress in implementing supply chain security measures. The findings revealed that the adoption of comprehensive supply chain security practices is positively associated with improved performance metrics, including reduced inventory losses and damages, faster order fulfillment and delivery times, lower costs related to security incidents, and enhanced brand reputation and customer trust. Policymakers can leverage these insights to develop support programs aimed at strengthening the security capabilities of manufacturing firms, ensuring they are equipped to compete effectively in both local and global markets, improving security performance, and reducing the likelihood and impact of supply chain disruptions. In the quest of bridging the gap between theory and practice, this research contributes valuable knowledge to the discourse on supply chain security in developing countries, offering a roadmap for enhancing resilience and performance in the manufacturing sector.

The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis of the historical time spent by users entering their passwords, employing ARIMA for processing. To assess the efficacy of the updated algorithm, we developed a simulator and employed a multi-experimental approach. The evaluation utilized a test dataset comprising 617 authentic records from 111 individuals within a selected company spanning from 2017 to 2022. Our findings reveal significant advancements in EPSBalgorithmv01 compared to its predecessor namely EPSBalgorithmv00. While EPSBalgorithmv00 struggled with a recognition rate of 28.00% and a precision of 71.171, EPSBalgorithmv01 exhibited a recognition rate of 17% with a precision of 82.882%. Despite a decrease in recognition rate, EPSBalgorithmv01 demonstrates a notable improvement of approximately 14% over EPSBalgorithmv00.

This paper presents an effective method for performing audio steganography, which would help in improving the security of information transmission. Audio steganography is one of the techniques for hiding secret messages within an audio file to maintain communication secrecy from unwanted listeners. Most of these conventional methods have several drawbacks related to distortion, detectability, and inefficiency. To mitigate these issues, a new scheme is presented which combines the techniques of image interpolation with LSB encoding. It selects non-seed pixels to allow reversibility and diminish distortion in medical images. Our technique also embeds a fragile watermarking scheme to identify any breach during transmission to recover data securely and reliably. A magic rectangle has also been used for encryption to enhance data security. This paper proposes a robust, low-distortion audio steganography technique that provides high data integrity with undetectability and will have wide applications in sectors like e-healthcare, corporate data security, and forensic applications. In the future, this approach will be refined for broader audio formats and overall system robustness.