An Ontology-based Support System for Collaborative Product Design in Manufacturing Supply Chain

2013 ◽  
Vol 12 (17) ◽  
pp. 3939-3945
Author(s):  
Xu Heng
Author(s):  
Ahmed J. Alsaffar ◽  
Karl R. Haapala ◽  
Zhaohui Wu

As efforts continue to incorporate environmental sustainability into product design, struggles persist to concurrently consider the environmental impacts resulting from transportation planning and supply chain network design. In fact, the transportation sector is the second largest contributor to direct greenhouse gas (GHG) emissions in the United States, following electricity generation. To address these concerns and consider environmental issues more holistically during the development of products, Design for X (X: manufacturing, environment, etc.) methods, such as environmentally benign manufacturing (EBM) and life cycle assessment (LCA) continue to be advanced through research. In spite of improving environmental performance through design, supply chain related impacts are not well understood and can be impacted by decisions made during product design. Thus, the aim of this research is to explore how changes to the design of a product affect manufacturing supply chain configurations and, in turn, influence product environmental sustainability. The environmental impacts for producing several three-ring binder design variations are predicted by assuming a given set of suppliers that provide materials and components to the manufacturer. Supply chain transportation impacts are also accounted for in the analysis. Transportation impacts are found to be minor compared to materials and manufacturing impacts.


Author(s):  
Guo Lifang ◽  
Cui Yuwen ◽  
Wu Yamin ◽  
Ma Jiaqi

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.


2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni

2004 ◽  
Author(s):  
Chun-Che Huang ◽  
Tzu-Laing (. Tseng ◽  
Yongjin Kwon ◽  
Yen Yi Chou

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