Papers by Abdur Razzak Chowdhury
American Journal of Advanced Technology and Engineering Solutions, 2025
This systematic literature review investigates the multidimensional strategies employed in managi... more This systematic literature review investigates the multidimensional strategies employed in managing procurement risks within retail supply chains, emphasizing how modern retail environments are reshaping sourcing practices, risk modeling, and supplier relationship management. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study identified, screened, and reviewed a total of 98 peer-reviewed journal articles published between 2010 and 2024. The objective was to synthesize current academic and practical developments related to procurement risk, with a focus on themes such as sourcing flexibility, digital transformation, disruption response mechanisms, supplier performance measurement, and sustainability compliance. The analysis reveals a substantial evolution from traditional cost-driven procurement practices to resilience-centric models designed to mitigate the complex risks faced by globally distributed, high-velocity retail supply chains. Among the most significant findings is the widespread adoption of multi-sourcing, dual sourcing, and just-incase inventory strategies, particularly in response to global crises like the COVID-19 pandemic. Moreover, the integration of digital technologies-including artificial intelligence, predictive analytics, blockchain, and the Internet of Things-has enabled procurement functions to transition from reactive to proactive risk management approaches, facilitating real-time supplier performance tracking and enhanced cross-tier visibility. The study also highlights a shift toward relational contracting and collaborative supplier partnerships, which are increasingly recognized as critical enablers of continuity, compliance, and shared risk responsibility. Despite these advancements, the review identifies persistent research gaps, including a lack of standardized supplier agility metrics, insufficient modeling of Tier-2 and Tier-3 supplier risk, and fragmentation in the application of procurement risk modeling frameworks across sectors. By consolidating diverse strands of literature, this study provides a comprehensive understanding of the current landscape of retail procurement risk management and outlines future research opportunities aimed at strengthening procurement resilience, technological integration, and sustainability in global retail ecosystems.
American Journal of Interdisciplinary Studies, 2024
The global apparel industry operates within a highly volatile and competitive environment marked ... more The global apparel industry operates within a highly volatile and competitive environment marked by rapidly shifting consumer preferences, abbreviated product life cycles, and increasingly fragmented global supply chains. In response to these complexities, apparel companies are progressively adopting advanced predictive analytics techniques integrated with Management Information Systems (MIS) to enhance supply chain visibility, responsiveness, and decision-making accuracy. This systematic review explores the current state and strategic applications of MIS-enabled predictive analytics, with a focused examination of two pivotal domains: demand forecasting and supplier risk management. Drawing from a wide spectrum of peerreviewed literature and empirical studies, the paper synthesizes the evolution of datadriven forecasting models, particularly those powered by machine learning and artificial intelligence, to illustrate how predictive analytics contributes to anticipating customer demand with higher precision and aligning production accordingly. Moreover, it examines the growing utilization of predictive tools in identifying, assessing, and mitigating supplier-related risks through real-time monitoring, risk scoring, and scenario analysis frameworks. The review underscores the critical role of integrated MIS platforms in consolidating internal and external data, supporting the operationalization of predictive insights, and fostering agile, data-informed supply chain strategies. It further identifies persistent challenges hindering the optimal deployment of predictive analytics, including issues related to data quality, system interoperability, lack of standardized protocols, organizational resistance to technological adoption, and ethical concerns surrounding data privacy and algorithmic bias. The review concludes by highlighting significant gaps in existing research, particularly the underrepresentation of empirical studies in small and medium-sized apparel enterprises, limited cross-functional integration frameworks, and insufficient attention to regulatory and ethical implications in global predictive ecosystems. Accordingly, the paper proposes directions for future studies, advocating for the development of sectorspecific, ethically grounded, and contextually adaptive predictive frameworks that align with the digital transformation trajectory of apparel supply chains.
GPH-International Journal of Business Management, 2024
With the continuous growth of Bangladesh's GDP, healthcare expenditure has been steadily increasi... more With the continuous growth of Bangladesh's GDP, healthcare expenditure has been steadily increasing, highlighting the importance of efficient resource management in healthcare facilities. Pharmacy, being a significant contributor to overall operational costs, plays a crucial role in ensuring high-quality patient care. Proper inventory management of pharmaceutical products is essential to meet patient demands while minimizing costs. This research focuses on analyzing pharmaceutical inventory management practices at Sylhet Women's Medical College Hospital, a tertiary healthcare facility, and their impact on customer service levels. Secondary data from January 2016 to March 2018 was collected to assess the current inventory management practices. Through a comparison of actual inventory levels with ideal scenarios, a continuous review policy was implemented to optimize inventory levels. Additionally, cycle counting based on ABC classification was utilized to enhance inventory record accuracy and minimize waste. The analysis revealed that a significant portion of pharmaceutical items at the hospital were overstocked. Implementation of a continuous review process has the potential to yield substantial cost savings, estimated at BDT 2,815,482 (39% of total inventory value).
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Papers by Abdur Razzak Chowdhury