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Uncertainty reduction on inventory management of PH Navigation

bracu.degree.levelPostgraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorHalim, Zaheed
dc.contributor.authorIqbal, Labiba Tanjim
dc.contributor.departmentBRAC Business School
dc.date.accessioned2025-06-17T04:49:56Z
dc.date.available2025-06-17T04:49:56Z
dc.date.copyright2024
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.en_US
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.en_US
dc.description.degreeMaster of Business Administration
dc.description.statementofresponsibilityLabiba Tanjim Iqbal
dc.format.extent63 pages
dc.identifier.otherID 22364040
dc.identifier.urihttp://hdl.handle.net/10361/26064
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectPH Navigationen_US
dc.subjectUncertainty reductionen_US
dc.subjectInventory managementen_US
dc.subjectMaritime logisticsen_US
dc.subjectShipping companyen_US
dc.subject.lcshBusiness logistics.
dc.subject.lcshInventory control.
dc.subject.lcshShipping--Management.
dc.titleUncertainty reduction on inventory management of PH Navigationen_US
dc.typeInternship Reporten_US

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