LAMPD: a combined lean and agile model for product development

Glyn P. Fargher et al.

International Journal of Agile Systems and Management2025https://doi.org/10.1504/ijasm.2025.149185article
AJG 1
Weight
0.37

What the paper says

Despite apparent differences, Lean and Agile product development methodologies share significant commonalities. This research integrates Lean and Agile product development methodologies for hardware contexts through a unified lean and agile model for product development (LAMPD). We examined case study implementations of both approaches, explored their integration potential, developed a comprehensive model, and evaluated its potential outcomes through expert assessment. Working with Atlas Copco Henrob, we systematically harmonised Lean PD principles with Agile frameworks by mapping relationships between 12 Agile Principles and the 5-phase Set-Based Concurrent Engineering process, identifying synergies and resolving conflicts. The resulting model integrates stage-gate processes with Scrum ceremonies and Kanban visualisation techniques across three development phases. Expert evaluation with 17 R&D professionals revealed strong support for the model, with practitioners identifying nine benefit categories, including enhanced communication, better risk management, and improved knowledge capture. The LAMPD process model provides a structured method to enhance efficiency and adaptability in hardware development while challenging traditional methodology dichotomies.

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https://doi.org/https://doi.org/10.1504/ijasm.2025.149185

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@article{glyn2025,
  title        = {{LAMPD: a combined lean and agile model for product development}},
  author       = {Glyn P. Fargher et al.},
  journal      = {International Journal of Agile Systems and Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijasm.2025.149185},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.