Uncertainty reduction on inventory management of PH Navigation

dc.contributor.advisorHalim, Zaheed
dc.contributor.authorIqbal, Labiba Tanjim
dc.date.accessioned2025-06-17T04:49:56Z
dc.date.available2025-06-17T04:49:56Z
dc.date.issued2024-08
dc.descriptionCataloged from the PDF version of internship report.
dc.descriptionIncludes bibliographical references (pages 53-56).
dc.descriptionThis internship report is submitted in partial fulfillment of the requirements for the degree of Master of Business Administration, 2024.
dc.description.abstractThis document examines how PH Navigation handles inventory uncertainty through their maritime logistics management approaches throughout the "Uncertainty Reduction on Inventory Management of PH Navigation" report. The research stems from a three-month internship in PH Navigation's Supply Chain and Operations Department. It includes theoretical foundation and practical learning obtained through the MBA program at BRAC University. PH Navigation maintains its position as a leading maritime company dedicated to handling dry bulk cargo transportation in Bangladesh. The company encounters substantial challenges regarding inventory management because global supply chains show unpredictability due to weather disturbances combined with geopolitical tensions, port congestion, and market demand fluctuations. Through its digital transformation initiatives, PH Navigation employs safety stock planning, predictive analytics, and real-time monitoring to deal with supply chain uncertainties. The research study utilizes mixed primary interviews and survey data alongside secondary reports such as internal documents, industry resources, and organizational operational records. The analysis of technical forecasting methodologies involving moving averages and exponential smoothing reveals their inappropriateness for the unpredictable conditions faced by PH Navigation in maritime operations. The most significant data points demonstrate that supply chain disturbances become less frequent when organizations track their fuel supply and optimize voyages and stock levels. The successful operation of businesses depends on historical data consumption, ROB measurement, and standardized fuel purchasing strategies. PH Navigation's inventory uncertainty management program has shown notable progress, but the company requires advanced technology solutions, including AI forecasting with blockchain systems and dynamic stock modeling, for increased accuracy, efficiency, and endurance throughout its supplies. The internship enabled me to gain practical exposure to inventory management within a high-variance, high-risk setting, which substantially fostered my academic capabilities and professional development.
dc.identifier.otherID 22364040
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/b12e6296-3675-409f-8733-472c4cb74e5d
dc.identifier.urihttp://hdl.handle.net/10361/26064
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectPH Navigation
dc.subjectUncertainty reduction
dc.subjectInventory management
dc.subjectMaritime logistics
dc.subjectShipping company
dc.titleUncertainty reduction on inventory management of PH Navigation
dc.typeInternship Report

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