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Managing Repairable Inventory Management for the Telecommunications Industry
Author(s)
Date Issued
2024
Date Available
2025-12-03T10:59:54Z
Abstract
This study endeavours to formulate a comprehensive systems strategy for the efficient administration of repairable inventory within the telecommunications sector, employing a meticulously defined mathematical model. The investigation draws upon an extensive dataset derived from a prominent participant in the global telecommunications market. Through a rigorous examination of various scenarios utilizing subsets or the complete dataset, the proof of concept emerges, showcasing substantial theoretical and practical merits. The proposed model, facilitating enhanced inventory management, elucidates manifold advantages for the telecommunications industry. Nevertheless, the study conscientiously acknowledges inherent limitations and implications. Despite leveraging a substantial dataset, the vast expanse of the telecommunications market implies the existence of unexplored potential in data acquisition. This research, while a meritorious endeavour, operates within constrained parameters and serves as an illustrative exposition of the effectiveness of process analysis, automation, and judicious deployment of management science techniques. Despite these constraints, the findings underscore the practical utility of the proposed model, promising noteworthy cost efficiencies for the telecommunications industry. Within the context of an expanding telecommunications sector featuring a plethora of national and multinational entities, the imperative of cost reduction for competitive sustenance is paramount. The ascertained benefits of the refined inventory management model hold the promise of substantial savings, offering the prospect of diminishing aggregate stock holding costs across the supply chain while concurrently mitigating network downtime. This confluence of advantages contributes significantly to the preservation of contractually-mandated Service Level Agreements (SLAs), underscoring the pragmatic import of the proposed systems strategy.
Type of Material
Doctoral Thesis
Qualification Name
Doctor of Philosophy (Ph.D.)
Publisher
University College Dublin. School of Business
Copyright (Published Version)
2024 the Author
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
Samir Mirdad PhD March 23 fv.pdf
Size
3.91 MB
Format
Adobe PDF
Checksum (MD5)
81720c3da7a4ea6c51abeb2b9eaee133
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