scholarly journals CAX/PLM/ERP-LCA integration to support product life cycle engineering: a conceptual framework

2021 ◽  
Vol 1983 (1) ◽  
pp. 012008
Author(s):  
Zhenhuan Zhou ◽  
Jing Tao
Author(s):  
David E. Lee ◽  
Michel A. Melkanoff

Abstract Traditional engineering analysis of product designs has focused primarily on a product’s operational performance without considering costs of manufacturing and other stages downstream from design. In contrast, life cycle analysis of a product during its initial development can play a crucial role in determining the product’s overall life cycle cost and useful life span. This paper examines product life cycle engineering analysis - measurement of product operational performance in a life cycle context. Life cycle engineering analysis is thus considered both as an extension of traditional engineering analysis methods and as a subset of a total product life cycle analysis. The issues critical to life cycle engineering analysis are defined and include product life cycle data modeling and analysis, analysis tools and their performance regimes, performance tradeoff measurement and problems of life cycle engineering analysis in an organizational context. Recommendations are provided for future research directions into life cycle engineering analysis in the context of integration architectures for concurrent engineering.


Author(s):  
Tommaso Fasoli ◽  
Sergio Terzi ◽  
Erkki Jantunen ◽  
Juha Kortelainen ◽  
Juha Sääski ◽  
...  

2017 ◽  
Vol 3 (Suppl 1) ◽  
pp. S8-S14 ◽  
Author(s):  
Amin Madani ◽  
Benoit Gallix ◽  
Carla M Pugh ◽  
Dan Azagury ◽  
Paul Bradley ◽  
...  

BackgroundInnovation in healthcare is the practical application of new concepts, ideas, processes or technologies into clinical practice. Despite its necessity and potential to improve care in measurable ways, there are several issues related to patient safety, high costs, high failure rates and limited adoption by end-users. This mixed-method study aims to explore the role of simulation as a potential testbed for diminishing the risks, pitfalls and resources associated with development and implementation of medical innovations.MethodsSubject-matter experts consisting of physicians, engineers, scientists and industry leaders participated in four semistructured teleconferences each lasting up to 2 hours each. Verbal data were transcribed verbatim, coded and categorised according to themes using grounded theory, and subsequently synthesised into a conceptual framework. Panelists were then invited to complete an online survey, ranking the (1) current use and (2) potential effectiveness of simulation-based technologies and techniques for evaluating and facilitating the product life cycle pathway. This was performed for each theme of the previously generated conceptual framework using a Likert scale of 1 (no effectiveness) to 9 (highest possible effectiveness) and then segregated according to various forms of simulation.ResultsOver 100 hours of data were collected and analysed. After 7 rounds of inductive data analysis, a conceptual framework of the product life cycle was developed. This framework helped to define and characterise the product development pathway. Agreement between reviewers for inclusion of items after the final round of analysis was 100%. A total of 7 themes were synthesised and categorised into 3 phases of the pathway: ‘design and development’, ‘implementation and value creation’ and ‘product launch’. Strong discrepancies were identified between the current and potential roles of simulation in each phase. Simulation was felt to have the strongest potential role for early prototyping, testing for safety and product quality and testing for product effectiveness and ergonomics.ConclusionsSimulation has great potential to fulfil several unmet needs in healthcare innovation. This framework can be used to help guide innovators and channel resources appropriately. The ultimate goal is a structured, well-defined process that will result in a product development outcome that has the greatest potential to succeed.


1995 ◽  
Vol 117 (B) ◽  
pp. 42-47 ◽  
Author(s):  
K. Ishii

Life-cycle engineering seeks to incorporate various product life-cycle values into the early stages of design. These values include functional performance, manufacturability, serviceability, and environmental impact. We start with a survey of life-cycle engineering research focusing on methodologies and tools. Further, the paper addresses critical research issues in life-cycle design tools: design representation and measures for life-cycle evaluation. The paper describes our design representation scheme based on a semantic network that is effective for evaluating the structural layout. Evaluation measures for serviceability and recyclability illustrate the practical use of these representation schemes.


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