A Design Structure Matrix (DSM) -based method for dependency characterisation in Engineering change management (ECM) domain - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

A Design Structure Matrix (DSM) -based method for dependency characterisation in Engineering change management (ECM) domain

Mahmoud Masmoudi
Patrice Leclaire
Marc Zolghadri

Résumé

During the product’s life cycle, it can be re-designed due to received requests for new improvement. One or more changes can be applied on the product in order to adapt or upgrade it. These changes can have serious impacts. Some of the change impact can be partly predictable while some other unexpected propagation of the change can still occur. Despite this risk, the industry does not currently have a clear approach to evaluate and represent the propagation of changes and minimize their consequence. The main objective of this work is to characterise this change impact by identification of the dependencies among product components, which is a first and necessary step to evaluate change propagation. We develop a novel approach based on Design Structure Matrix to identify and characterise the type of dependency existent between two dimensions. Findings show that functional dependency is more detailed than quantitative and qualitative dependency characterisation, already used in the literature.
Fichier principal
Vignette du fichier
Masmoudi et al_ICAV16.pdf (347.96 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01341202 , version 1 (04-07-2016)

Identifiants

  • HAL Id : hal-01341202 , version 1

Citer

Mahmoud Masmoudi, Patrice Leclaire, Marc Zolghadri, Mohamed Haddar. A Design Structure Matrix (DSM) -based method for dependency characterisation in Engineering change management (ECM) domain. ATAVI, International Conference on Acoustics and Vibration, Mar 2016, Hammamet, Tunisia. ⟨hal-01341202⟩
108 Consultations
279 Téléchargements

Partager

Gmail Facebook X LinkedIn More