De facto standards can be divided into the U.S. group standards' and 'forum and the consortium standard. mainly applies to high-tech industry forums, and a consortium standard of the industry given the nature of the standard are frequently revised, the country Due to the introduction of standard time. Economic loss to consider when in reality, the introduction of national standards of the United States is limited to the desirable standard, and the fact the actual award of standards, national standards, or if you want to introduce standard, each of depending on the type of attitude and strategy for standards by category, based on the characteristics of each body strategy and are needed. Through this study on utilization of de facto standards for national standards, it is researched that major de facto standards bodies status and domestic industrial fields which need utilization of de facto standards for national standards. Through overseas Case, effective usage of de facto standards will be obtained.

The study proposes a priority model for program directors in charge of Corporate Social Contribution to make the best decision. This empirical analysis aims to discover the most significant area among various programs of Corporate Social Contribution Activities. The Analytical Hierarchy Process (AHP) is used to test the priority model. The study attempts to demonstrate how the model helps providing better decision choices in corporate practices. The priority preference in Corporate Social Contribution Activities programs among corporate social contribution practitioners, PR professors and NGO activists is examined in order to present preferred programs of corporate social contribution programs, which they value the most as a part of overall social welfare.

The analytic hierarchy process is known as a useful tool for the group decision making methods. This tool has been area such as investment, R&D management, manufacturing, production and marketing. Typically, transportation problems have addressed by mathematical programming. In this paper, an optimal solution of transportation problem was determined by the analytic hierarchy process.

Multi-criteria decision making is deducing the relativistic importance in the criterion of decision making and each alternative which is able to make a variety of choices measures the preferred degree in the series of low-ranking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fun-diametral problem decision maker should solve for multi-criteria decision making is evaluating a set of activities which are considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we study about effective consumer preference to towels made of paper according to the three kinds of intensities of products from some domestic company, using the AHP.

We study on the consistency of AHP. It is research that extend of SAW methods by [1]. For tools that measure judgment of inconsistency eigenvector methods, we research consistency that introduced consistency ratio by Saaty. in general, the higher consistence of compare matrix the bigger error within matrix. In this paper, we use the AHP for the optimal decision making. By this method, we have optimal decision making numenical example which three models of any domestic motors companies.

The Contour Crafting(CC) process, which has been developed at the University of Southern California, aims at automated construction of whole houses as well as sub-components. For this purpose, new trowel mechanism is basically needed in order to fabricate the true 3D shape. This paper presents our concepts and initial investigation of 3D free form fabrication using the pivoting side trowel. Specifically, the status of research and development of the processand experiments with ceramics materials, and its potential application areas are detailed.

Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of town ranking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which an considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we use the compensatory models for the optimal decision making. For the purpose of optimal decision making, the data of five different car models are used in Europe.

Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of low-raking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which are considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we are the eigenvector methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. We study the multi-attribute decision making in a compensatory models. In this paper, we use the entropy methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.