Integration of Life Cycle Assessment with computer-aided product development by a feature-based approach

2017 ◽  
Vol 143 ◽  
pp. 1144-1164 ◽  
Author(s):  
Jing Tao ◽  
Zhaorui Chen ◽  
Suiran Yu ◽  
Zhifeng Liu
Author(s):  
Jing Tao ◽  
Suiran Yu ◽  
Qingjin Peng

This paper aims to develop a methodology for the integrating LCA with product development to enhance the environment-orientated design and manufacturing. First, the LCA feature view model is developed to address the scheme of representing life cycle processes, life cycle inventory analysis and to enable the exchange of valuable data between the LCA and computer aided engineering systems for sustainability improvements. Based on the feature view model, the framework of feature based LCA is then proposed. The LCA study of welding is presented to demonstrate the proposed approach.


2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881227 ◽  
Author(s):  
Zhen Shang ◽  
Meidan Wang ◽  
Daizhong Su ◽  
Qinhui Liu ◽  
Shifan Zhu

Social life cycle assessment is an important method to assess products’ social impacts throughout their life cycles. There are already some indicators and software to assist conducting social life cycle assessment. However, it is hard for users to share or reuse assessment results because of different application data structures. To resolve this problem, a knowledge-based social life cycle assessment–aided design method is developed in this research. With this method, all elements in the social life cycle assessment process are analyzed and represented as classes, their relationships are described as object properties, and the data structure is represented as data properties to construct an ontology system for social life cycle assessment. Based on the ontology, a social life cycle assessment–aided product development web is developed. According to the data property structure, a bidirectional mapping between database and ontology is realized using JENA and ontology-based data access, which enables the result data to be automatically inputted into ontology individuals. Thus, the result data can be accumulated, shared, and reused among users. A case study with a floor product as well as a user test is carried out to prove the feasibility and usability of the web. The ontology-based social life cycle assessment–aided design method provides users with a new high-efficiency approach, setting the foundation for the intellectualization of life cycle assessment.


2017 ◽  
Vol 1 (01) ◽  
pp. 29
Author(s):  
Augustina Asih Rumanti ◽  
Vania Hadisurya

Forecasting technology is one way that can be used to predict product life cycle. Product life cycle is very important to know, especially by organizations, that are in small medium level, like SME. This research will be conducted in SME Surya Usaha Mandiri, Daerah Istimewa Yogyakarta.Forecasting product life cycle that has been done, will direct this research toward the stage of product development. Stages of development of the products are a necessary stage for an organization, especially in SME, to innovate the product. The purpose of this research is to propose the development of products, such as the stages of innovation that can be done in SME Surya Usaha Mandiri, forecasting conducted based on life cycle assessment of products and technology components using technometric model. The results of this research are proposed innovation based forecasting and product life cycle assessment in SME Surya Usaha Mandiri using technometric model.


2010 ◽  
Vol 132 (9) ◽  
Author(s):  
Matt R. Bohm ◽  
Karl R. Haapala ◽  
Kerry Poppa ◽  
Robert B. Stone ◽  
Irem Y. Tumer

This paper describes efforts taken to further transition life cycle assessment techniques from the latter, more detailed phases of design to the early-on conceptual phase of product development. By using modern design methodologies such as automated concept generation and an archive of product design knowledge, known as the Design Repository, virtual concepts are created and specified. Streamlined life cycle assessment techniques are then used to determine the environmental impacts of the virtual concepts. As a means to benchmark the virtual results, analogous real-life products that have functional and component similarities are identified. The identified products are then scrutinized to determine their material composition and manufacturing attributes in order to perform an additional round of life cycle assessment for the actual products. The results of this research show that sufficient information exists within the conceptual phase of design (utilizing the Design Repository) to reasonably predict the relative environmental impacts of actual products based on virtual concepts.


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