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ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: Datacite
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Dependency Flow Planning (DFP) : A Novel Bottom-Up Methodology for Sequential Project Management

Authors: Gauns, Atmanand;

Dependency Flow Planning (DFP) : A Novel Bottom-Up Methodology for Sequential Project Management

Abstract

The modern landscape of project management is characterized by complex, interdependent tasks that often challenge traditional planning methodologies. While existing frameworks like the Work Breakdown Structure (WBS) and Kanbanexcel at task decomposition and workflow visualization, they frequently fall short in explicitly representing and enforcingthe sequential dependencies inherent in many projects. This paper introduces Dependency Flow Planning (DFP), a novelmethodology designed to address this gap. DFP fundamentally reverses the traditional top-down hierarchy, defining a project not by a single, large goal but by a bottom-up flow where parent tasks are the logical next steps unlocked by the completion of their child tasks. The methodology is grounded in three core principles: a child-to-parent flow, strict and enforced task dependencies, and avisual mapping canvas. This approach creates a clear, action-oriented roadmap that prevents common errors like startingtasks prematurely and provides an intuitive, at-a-glance view of a project’s critical path. Through a comparative analysis,this paper demonstrates how DFP can be used to complement established methodologies, offering a powerful tool for strategic planning and tactical execution. The findings suggest that DFP provides a more robust and intuitive solution for managing complex, sequential projects, paving the way for improved efficiency and clearer communication.

Keywords

DFP, pert, methodology, gantt, canvas, cpm, map, kanban, wbs, tasks, planning, management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green