This study evaluates the performance of a time-based methodology and the associated software tool (i.e., LeanDfD) developed for assessing product disassemblability. LeanDfD enables design engineers to analyze disassembly sequences and times, and to derive targeted redesign recommendations to enhance disassembly efficiency. The methodology is applied to two case studies: a low-complexity electric blender and a high-complexity soda vending machine. Tool-generated disassembly time estimates are validated against experimental measurements, and the impact of implementing LeanDfD’s redesign suggestions is assessed. Results indicate that LeanDfD predicts disassembly times for the electric blender with an average error of 8%. Furthermore, applying LeanDfD-based redesign recommendations to the soda vending machine results in a roughly 20% reduction in disassembly time.

Engineering design for disassembly: test of a time-based methodology and the LeanDfD software tool / Igwe, E., Favi, C., Marconi, M., Mandolini, M., Desai, A.. - 140:(2026), pp. 449-454. (33rd CIRP Conference on Life Cycle Engineering, LCW 2026 Jaipur 11 - 13 March 2026) [10.1016/j.procir.2026.05.076].

Engineering design for disassembly: test of a time-based methodology and the LeanDfD software tool

Mandolini, Marco
Writing – Original Draft Preparation
;
2026-01-01

Abstract

This study evaluates the performance of a time-based methodology and the associated software tool (i.e., LeanDfD) developed for assessing product disassemblability. LeanDfD enables design engineers to analyze disassembly sequences and times, and to derive targeted redesign recommendations to enhance disassembly efficiency. The methodology is applied to two case studies: a low-complexity electric blender and a high-complexity soda vending machine. Tool-generated disassembly time estimates are validated against experimental measurements, and the impact of implementing LeanDfD’s redesign suggestions is assessed. Results indicate that LeanDfD predicts disassembly times for the electric blender with an average error of 8%. Furthermore, applying LeanDfD-based redesign recommendations to the soda vending machine results in a roughly 20% reduction in disassembly time.
File in questo prodotto:
File Dimensione Formato  
Igwe_Engineering-design-disassembly-test_2026.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso: Creative commons
Dimensione 670.11 kB
Formato Adobe PDF
670.11 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/358332
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact