P4LM: A methodology for product lifecycle management

Danesi, Frédéric; Gardan, Nicolas; Gardan, Yvon; Reimeringer, Michael

doi:10.1016/j.compind.2007.06.013

Cited by 32 publications

(15 citation statements)

References 33 publications

(31 reference statements)

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“…This will give confidence in releasing the product to market quickly with Right First Time (RFT). Integration of product information, project management, processes and procedures has been addressed through a product digital mock-up by Danesi et [6]. Collaborative frameworks and technological requirements for their implementation have also been discussed by Osrio and Camarinha-Matos [17].…”

Section: Overview Of Pdm/plm and Related Research Workmentioning

confidence: 99%

A Modular Product Structure Based Methodology for Seamless Information Flow in PLM System Implementation

Giddaluru

Gao

Bhatti

2015

Computer-Aided Design and Applications

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Product development process deals with large amount of information generated from market survey, concept design, manufacture, test, limited production, production, service, and obsoleting. The information should be stored systematically so that it is easily traceable and reusable for future product development. This paper presents a methodology for seamless product information flow between the three main enterprise information systems such as Computer Aided Design and Manufacturing (CAD/CAM), Product Data/Lifecycle Management (PDM/PLM) and Enterprise Resource Planning (ERP) used in the process of innovative product development while implementing PLM. PLM implementation deals with various existing product data and information generated over years both from CAD and ERP systems. Data integration is very challenging in multi-national engineering companies and has important impact on future decisions while creating new processes. The aim is to define a modular product structure that can be used to connect the product information throughout the life cycle that can be reused effectively and efficiently for future similar products.

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Section: Overview Of Pdm/plm and Related Research Workmentioning

confidence: 99%

A Modular Product Structure Based Methodology for Seamless Information Flow in PLM System Implementation

Giddaluru

Gao

Bhatti

2015

Computer-Aided Design and Applications

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“…They are usable by either CAD expert or mechanical engineer and ensure a good usage and the results quality. Parametric modeling put constraints on geometric model to design modification or to engineering analysis [21]. Constraints can be geometrical (one entity is tangent to another) or knowledge based (e.g., trade rules and constraints).…”

Section: 1mentioning

confidence: 99%

Knowledge Management for Topological Optimization Integration in Additive Manufacturing

Gardan¹

2014

International Journal of Manufacturing Engineering

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Engineering design optimization of mechanical structures is nowadays essential in the mechanical industry (automotive, aeronautics, etc.). To remain competitive in the globalized world, it is necessary to create and design structures that, in addition to complying specific mechanical performance, should be less expensive. Engineers must then design parts or assemblies that are a better compromise between mechanical and functional performance, weight, manufacturing costs, and so forth. In this context Additive Manufacturing (AM) process offers the possibility to avoid tools and manufacture directly the part. There are numerous technologies which are using different kind of material. For each of these, there are at least two materials: the production material and the support one. Support material is, in most cases, cleaned and becomes a manufacturing residue. Improving the material volume and the global mass of the product is an essential aim surrounding the integration of simulation in additive manufacturing process. Moreover, the layer-by-layer technology of additive manufacturing allows the design of innovative objects, and the use of topological optimization in this context can create a very interesting combination. The purpose of our paper is to present the knowledge management of an AM trade oriented tool which integrated the topological optimization of parts and internal patterns.

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“…Integration of product information, project management, processes and procedures has been addressed through a product digital mock-up in [10]. Collaborative frameworks and technological requirements for their implementation have also been discussed [11].…”

Section: Plm Business Process Modelingmentioning

confidence: 99%

A reference framework following a proactive approach for Product Lifecycle Management

Marchetta

Mayer²,

Forradellas

2011

Computers in Industry

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Product Lifecycle Management (PLM) has been identified as a key concept within manufacturing industries for improving product quality, time-to-market and costs. Previous works on this field are focused on processes, functions and information models, and those aimed at putting more intelligence on products are related to specific parts of the product lifecycle (e.g. supply chain management, shop floor control). Therefore, there is a lack of a holistic approach to PLM, putting more intelligence on products through the complete lifecycle. In this paper, a PLM framework supported by a proactive-product approach based on intelligent agents is proposed. The developed model aims at being a first step toward a reference framework for PLM, and complements past works on both product information and business process models (BPM), by putting proactivity on product's behavior. An example of an instantiation of the reference framework is presented as a case study.

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P4LM: A methodology for product lifecycle management

Cited by 32 publications

References 33 publications

A Modular Product Structure Based Methodology for Seamless Information Flow in PLM System Implementation

A Modular Product Structure Based Methodology for Seamless Information Flow in PLM System Implementation

Knowledge Management for Topological Optimization Integration in Additive Manufacturing

A reference framework following a proactive approach for Product Lifecycle Management

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