Teaching analytic hierarchy process (AHP) in undergraduate chemical engineering courses
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Article
Source Title
Education for Chemical Engineers
Volume
23
First Page
34
Last Page
41
Publication Date
4-1-2018
Abstract
Although selection problems are often encountered in engineering practice, rigorous decision analysis techniques remain underutilized in undergraduate chemical engineering education. In particular, the conventional chemical engineering curriculum lacks a strong foundation in such methods, despite the fact that other quantitative tools (e.g., mathematical programming, process simulation, etc.) are already well-integrated within the sub-area of process systems engineering (PSE). In this paper, we discuss the integration of the Analytic Hierarchy Process (AHP) as a multiple criteria decision analysis (MCDA) tool within the undergraduate chemical engineering curriculum at De La Salle University. We discuss the use of AHP methodology in modules such as Process Equipment Selection and Design and in an elective course on Energy and the Environment. We discuss representative sample problems, experiences in the teaching of AHP, as well as recommendations for effective introduction of the topic. The methodology provides a framework to induce metacognition during decision-making to ensure rigor and consistency. This skill finds application not only in decision-making problems such as equipment selection, project selection and plant design but also in sustainability assessment. Based on feedback from students, there is significant appreciation of AHP as a useful tool for their future professional practice.© 2018 The Institution of Chemical Engineers
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Digitial Object Identifier (DOI)
10.1016/j.ece.2018.05.002
Recommended Citation
Promentilla, M. B., Aviso, K. B., Lucas, R. G., Razon, L. F., & Tan, R. R. (2018). Teaching analytic hierarchy process (AHP) in undergraduate chemical engineering courses. Education for Chemical Engineers, 23, 34-41. https://doi.org/10.1016/j.ece.2018.05.002
Disciplines
Chemical Engineering
Keywords
Multiple criteria decision making; Chemical engineering—Study and teaching
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