Evaluation of Fluid Dispensing Systems Using Axiomatic Design Principles

2006 ◽  
Vol 129 (6) ◽  
pp. 640-648 ◽  
Author(s):  
X. B. Chen ◽  
J. Kai ◽  
M. Hashemi

Fluid dispensing systems have been widely employed in industry, by which fluid materials are delivered in a controllable manner. Currently, various designs of fluid dispensing systems exist; however, there is a lack of evaluating and comparing these different designs on a common base. This paper presents such an evaluation by means of axiomatic design principles. In particular, existing designs of dispensing systems are illustrated as decoupled and redundant ones based on the models available in the literature; and the information content of each design is calculated by using the algorithm specially developed in this paper for redundant designs. The results from such an evaluation will not only allow users to choose the appropriate systems for given applications, but will also facilitate designers to develop new dispensing systems.

2015 ◽  
Vol 21 (5) ◽  
pp. 756-772 ◽  
Author(s):  
Anant V KHANDEKAR ◽  
Jurgita ANTUCHEVIČIENĖ ◽  
Shankar CHAKRABORTY

There has been a rapid growth in construction activities during the last few decades owing to overall development in all facets of humanity. Due to technological advancements and ever increasing civilization, there is a persistent need of energy. Along with the conventional energy sources, the renewable energy sources have also significantly contributed to the rising energy needs. As a renewable source of energy, numerous small hydro-power plants (SHPPs) have been built up across the world in the recent past. Usually these SHPPs are being built and operated by the private developers complying with the government regulations. In order to assist a developer in selecting the most profitable and feasible SHPP for construction and subsequent operation, a method based on fuzzy axiomatic design principles is employed in this paper. The techno-commercial and socioeconomic criteria as considered for analyzing the feasibility of the candidate SHPPs are expressed qualitatively using trapezoidal fuzzy numbers. The performance of each SHPP is evaluated in terms of its total information content and the one with the least information content is selected to be the best venture for the required construction activity. The adopted methodology is found to have immense potential to the developers while selecting the most feasible project for construction.


2019 ◽  
Vol 957 ◽  
pp. 437-444
Author(s):  
Adelina Hriţuc ◽  
Margareta Coteaţă ◽  
Oana Dodun ◽  
Gheorghe Nagîţ ◽  
Laurenţiu Slătineanu

The obtaining of information concerning the processability by injection of plastics could facilitate a better design of injection manufacturing processes of parts made of such materials. With this aim in view, equipment for testing the processability by injection of plastics was designed. On the other hand, there are known the possibilities of using the axiomatic design principles to solve equipment or various design activities problems. Within this paper, an evaluation of the complying with the requests of the axiomatic design by the designed equipment was developed. The axiom of independence of the functional requirements necessary to be achieved by the equipment was applied. The analysis allowed the formulation of some remarks concerning the fulfillment of some principles of axiomatic design by the constructive solution proposed for the equipment for testing the processability by injection of plastics.


2013 ◽  
Vol 411-414 ◽  
pp. 2511-2515
Author(s):  
Hou Xing You

Axiomatic design theory is a popular methodology for product design scheme evaluation in recent years. However, as information axiom has some limitation for information content of non-functional attributes, the application of axiomatic design theory is bound. Therefore, a new method is proposed for product design scheme evaluation in this paper, which is the generalized information content calculation, and the proposed method avoids the shortcoming of traditional information content calculations. Finally, the proposed method is applied in a case study, and experimental result shows the feasibility of the proposed method.


2013 ◽  
Vol 465-466 ◽  
pp. 1054-1059 ◽  
Author(s):  
Lee Guang Beng ◽  
Omar Badrul

Legal and public pressures have urged companies and firms to practice good environmental policy. Apart from that, growing environmental consciousness among consumers has also evolved into a potential marketing opportunity that many companies deem valuable. In order to effectively manage a companys environmental policy, linking it closely to purchasing activities can potentially be a helpful way. In this paper, fuzzy axiomatic design (AD) approach is used to address the issue of green supplier selection. A case study is presented to demonstrate the utilization of fuzzy AD principles in analyzing qualitative environmental performances of suppliers with the consideration of all sub-criteria. The proposed approach is able to produce indicative results in terms of information content and is capable of identifying the most eligible supplier among three alternatives. This signifies that the application of fuzzy AD approach in the area of green supplier selection is feasible and is worth further exploration.


2009 ◽  
Author(s):  
A.M.M. Sharif Ullah ◽  
Khalifa H. Harib ◽  
Muaatasem Awda ◽  
Salah S. Zenieh

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Ming Li

Axiomatic design (AD) provides a framework to describe design objects and a set of axioms to evaluate relations between intended functions and means by which they are achieved. It has been extended to evaluate alternatives in engineering under fuzzy environment. With respect to multiple criteria group decision making (MCDM) with incomplete weight information under fuzzy linguistic environment, a new method is proposed. In the method, the fuzzy axiomatic design based on triangle representation model is used to aggregate the linguistic evaluating information. In order to get the weight vector of the criteria, we establish a nonlinear optimization model based on the basic ideal of fuzzy axiomatic design (FAD), by which the criteria weights can be determined. It is based on the concept that the optimal alternative should have the least weighted information content. Then, the weighted information content is derived by summing weighted information content for each criterion. The alternative that has the least total weighted information content is the best. Finally, a numerical example is used to illustrate the availability of the proposed method.


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