• Journal of Engineering Education Research
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• v.18 no.6
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• pp.46-51
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• 2015

Recently, Information Communication Technology(ICT) is one of the most important technology that supports the modern society. As the ICT rises, the needs of the nurturing talents, who can develop a service or hardware on the basis of the humanities increases. As a result, teaching programming skills to students studying humanities and social science are essential. Also, it is important to train students studying science and engineering to write their thoughts logically. In order to serve these students, we introduce a pedagogy for computer programming using programming essay. Since a program is a sequence of the operations based on the programmer's logical thinking, programming can be considered as describing programmer's logic in the proper order using programming syntax. In this research, we train students to describe their logic using natural language. Students write down their essays for a given programming problems. Also, we introduce a pedagogy guideline using programming essay.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.29-42
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• 2014

Extensive research has been conducted on supplier evaluation and selection as a strategic and crucial component of supply chain management in recent years. However, few articles in the previous literature have been dedicated to the use of fuzzy inference systems as an aid in decision-making. Therefore, this essay attempts to demonstrate the application of this method in evaluating suppliers, based on a comprehensive framework of qualitative and quantitative factors besides the effect of gradual coverage distance. The purpose of this study is to investigate the applicability of the numerous measures and metrics in a multi-objective optimization problem of the supply chain network design with the aim of managing the allocation of orders by coordinating the production lines to satisfy customers' demand. This work presents a dynamic non-linear programming model that examines the important aspects of the strategic planning of the manufacturing in supply chain. The effectiveness of the configured network is illustrated using a sample, following which an exact method is used to solve this multi-objective problem and confirm the validity of the model, and finally the results will be discussed and analyzed.