Application of analytical network process for analysis of product design characteristics of lean remanufacturing system: a case study

2016 ◽  
Vol 19 (4) ◽  
pp. 971-990
Author(s):  
C. Vasanthakumar ◽  
S. Vinodh ◽  
A. W. Vishal

Author(s):  
Nagwan El- Sayed Abo El- Enen, Khaled Mohamed Heiza, Ibrahim Nagwan El- Sayed Abo El- Enen, Khaled Mohamed Heiza, Ibrahim

Due to recent environmental and Political requirements, and regulations of the construction industry, in which bridges is one of its important category, deciding its proper constructability is becoming vital. Therefor the objective of this research is to develop a decision model for selecting proper constructability of green bridges constructions, the model was built based on analytical network process (the ANP) soft were program, integrated with value engineering approach. For this analytical study different parameters are identified and ranked to be implemented for the decision model developed on the biases of four surveying studies conducted in this study the results of these surveying's was be analyzed by using the statically analytical program; "SPSS". Model validation and reliability is carried out using the analytical network process (ANP) for statistically analysis using case study which is a cable bridge project constructed in Egypt. ANP proves to be an effective framework for assessing readiness to adopt and facilitating TQM. The result of the study illustrate that the proper constructability alternative in green bridge concept for this determinate project is the concrete box girder type, upon this there is a cost loss of $3, 500 per square meter, equivalent to 50% losses, respect to the life cycle cost this is due to did not using the best alternate of the estimated project. upon the possibility of applying this decision model to such studies of infrastructure projects, and with respect to the results gained; it is recommend to apply the ANP model with respect to VE procedures to bridges projects of all kinds and their determinants, as well as all other construction projects, especially national ones, in future studies, which allows decision- makers to make decisions that aim at the highest quality without any waste in unnecessary costs.



2009 ◽  
Vol 419-420 ◽  
pp. 741-744
Author(s):  
Yong Jun Zheng ◽  
Zhong Ming Ren ◽  
Dai Zhong Su ◽  
Leslie Arthur

With recent advances in wireless communication technologies, the world of mobile computing is flourishing with a variety of applications. This paper presents a mobile product information retrieval system that supports collaborative work among remote users. With the development of the system, a knowledge representation framework has been adopted which accommodates semantic relationships and similarity of product data. To illustrate the system developed, a case study in information retrieval for product design is presented.





Author(s):  
Raman Kumar ◽  
Harwinder Singh ◽  
Amrinder Singh

Vendor selection is the first step in the product realization process that starts with the purchasing of materials and ends with delivering the products. The objective of the present research is to select the best vendor in a leading automobile organization. The multi-criteria decision making techniques of fuzzy quality function deployment (QFD) and the Analytical Network Process (ANP) were applied to achieve reliable results. A case study of a manufacturing unit in northern India was used to validate the proposed framework. The output of the QFD showed the pre-qualified vendors as V3, V2 and V7 with relative user requirement (RUR) values of 0.188, 0.145 and 0.134, respectively. The final ranking of the vendors is presented using the ANP model.



Author(s):  
Jinheng Gu ◽  
Changqing Liu ◽  
Shenghui Fu ◽  
Changle Pang

Product design-oriented models are a decision-making problem with multiple criteria based on the assessment of product design factor that represent engineer judgments and customer desires, and are used to adapt to increasing competition and high levels of customization. Thus, in this work, a “sandwich-like” architecture and a hybrid integrated approach including triangle fuzzy numbers, quality function deployment, and the LeaderRank algorithm are respectively proposed to express and assess product designs more effectively. Additionally, the proposed approach is a measure study which can determine the design requirements, the relationships between product design and customer requirements, and the correlations among product values. The fuzzy analytical network process and LeaderRank algorithm are employed to evaluate the product design requirements and interaction between the product value and the uncertainty that exists in expert judgment. Besides, a case study is selected as an example to illustrate the “sandwich-like” architecture in the product design stage, and a priority analysis is performed to assess the importance degrees of product designs for customer needs, thereby providing optimization for product design and an effective approach to improve the product value.



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