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Analytic Hierarchy Process (AHP) is a decision making method which has advantages for both qualitative and quantitative analysis. In an engineering field, AHP is often applied, together with other analysis methods, to evaluate the effectiveness of engineering projects. Environment-Based Design (EBD) is a systematic approach to finding creative desi...
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... process starts from problem statement, so does the construction of the evaluation criteria system because the construction is described as a design problem. From the perspective of design, a project would start with a project requirement and ends with a decision, as is shown in Fig. 5. However, for projects that need a third party audit, an independent expert panel is often employed to evaluate a project. The evaluation process usually follows the flow in Fig. 6. To avoid expert biases, an EBD extended AHP model is proposed to develop the evaluation criteria from the evaluation statement which includes the project ...
Citations
... AHP is an effective alternative comparison method particularly when the qualitative values are the only options for describing the criteria. Furthermore, AHP's capability for comparing a large number of alternatives with respect to a large number of criteria makes it a popular choice in decision science (Saaty 1977, Akgunduz et al. 2002, Chen et al. 2015. ...
... Consequently, the graduate attributes, knowledgebase for engineering, problem analysis, and design are selected as a set of criteria in the AHP to study the course difficulty level. A survey was developed to interview course instructors for verifying the observations made in Table 1 with the application of the traditional 5-level AHP ranking scheme (Chen et al. 2015, Aurup 2012, Saaty 1977, 1980. A total of five full-time faculty members with at least 10 years or more teaching experience were invited to participate in the AHP study. ...
This paper aims to improve students’ learning performance by optimizing their mental stresses in learning through proposing a new course timetabling method. This new method is based on two hypotheses that formulate the link between course timetabling and learning experience: i) a student’s learning performance is superior when the student is subject to moderate stress; ii) an individual’s mental capacity varies during a day according to Circadian Rhythm. The student’s mental stress in taking a course is defined as a function of their mental capacity and the workload required by the course. The workload is determined by utilizing a multi-criteria prioritization technique—Analytic Hierarchy Process. As a result, the timetabling problem is formulated as a mixed-integer linear programming model, which is tested on an engineering program to produce a student-centered timetable for its scheduled courses. This new method differs from traditional course scheduling and timetabling approaches, which are usually tackled as a constrained optimization problem with an objective to optimize a given set of criteria, such as student and faculty preferences, walking distances between consecutive classes, classroom utilization and operating expenses.
... It has enormous applications in literature. It has found acceptance in fields like the business(Hsu, Lin, & Tsai, 2016), Medicine (Balubaid, & Basheikh, 2016), Engineering(Chen, Wang, Liu, Zeng, & Chen, 2016) and Politics(Rahul, Kalyani, Maya, & Vrashali, 2015).Akash et al ...
Lifestyle and eating habits with the special focus on young university grads are considered to design and develop a Knowledge Management System (KMS). An appropriate ice cream is suggested via KMS to university grads, which keeps blood glucose level in control and acts as a diabetes preventive KMS. Designed KMS is based on effective Data Science (DS), Big Data techniques considering standalone and proposed distributed versions of Analytical Hierarchy Process (AHP), Monte Carlo AHP (MC-AHP),
Goal Programming (GP), K-Means and Artificial Neural Network (ANN) Clustering and Collaborative Filtering (CF). Incremental-learning gains and updates knowledge at each level of applied DS techniques. Developed KMS analyzed ice cream consumption pattern,
lifestyle & health condition attributes of university students to promote a novel KM strategy in terms of ice cream recommendation and can give altogether novel trigger to
health-conscious students. The confluence of health, students, ice creams and DS is achieved and discussed in this chapter.
... Luh et al. [33] proposed a systematic empathic design method (SEDM) based on participant observation, laddering interviews, implication matrix, hierarchical value maps and mind mapping, in order to develop customer-centered products. Chen et al. [13] explored the possibility and new procedure of applying environmentbased design (EBD) to constructing evaluation criteria in AHP. In a product design environment, there is a lack of research considering both engineer's and customer's experience. ...
Experience-based design is a recently emerging method used to capture the emotional content of customer experiences. Both the engineer’s experiences and customer’s experiences for dual experiences are important in delivering high quality user-centred product design. To assess dual experiential design optimization, fuzzy decision tree and fuzzy cognitive map are integrated in engineering design perspectives. This study aims at optimizing complex interactions and experiential design system with imprecise relationships while quantifying the performance impact of engineering design efficiency on customer satisfaction. The experiment is conducted by utilizing sensitivity analysis of the three degrees of fuzzy membership function using a product mix-experience problem. The evaluation results show that this dual experience-based design approach can help R&D design, deliver high quality product development experiences and co-create value with customers to yield a high performance engineering design.
