جستجوی مقالات مرتبط با کلیدواژه « Analytic Hierarchy Process » در نشریات گروه « مواد و متالورژی »

Blended learning is a flexible method conducted through face-to-face and online learning. It requires students to learn by attempting the classes physically and allows them to learn virtually at different times and places. It has become more evident and common after the Movement Control Order (MCO) as most of the lectures at the university are carried out in hybrid mode. The blended learning models create problems and opportunities for students as they need to explore and adapt to different lecturers' different blended learning methods in terms of teaching styles, planning, and timing. Therefore, the objective of this research is to investigate the best-blended learning models for an undergraduate engineering course based on student learning style by using the Analytic Hierarchy Process (AHP) method, as it is a big challenge to select the most effective approach for universities to educate, tutor and bring out quality students according to their learning styles. The AHP method is used to aid the students in finding the best-blended learning model based on their learning style. AHP analysis is then conducted to validate and verify its accuracy by comparing it with Visual, Auditory, Read/write, and Kinesthetic (VARK) models. As a result, most students are kinaesthetic learners (72%) based on VARK results, and the face-to-face driver model is the most preferred blended learning model with the priority vector at 31.33% through the AHP analysis. The accuracy of the AHP result is 74% by comparing it with the VARK result. In summary, the data can be deployed in the UTeM blended learning system to improve the course design and student learning experience.

Penetration of renewable energy in the energy generation mix must be viewed from different angles. This issue shall not only cover the technological part, but also economic, environmental, and social criteria. The fuel cell provides huge potential with less reliance on fossil fuel-based electricity generation. This paper aims to model the optimum design of fuel cell-based electricity generation in Malaysia. Economic and environmental aspects are indicators that contribute to designing an optimum model. Both Multi-Criteria Analysis and Analytic Hierarchy Process were employed in order to decide on the optimum site for the system. Truck transportation, biogas storage, and fuel cell system are among the most important criteria that provide final weighted criteria. Considering both criteria for the economic and environment concerns, the best optimum location is in Sarawak State. The findings of this study influence the decision-making and help researchers and decision-makers develop proper strategies in the renewable energy roadmap.

Ammonium Hydroxide production ‎unit (AHPU) is one of the widely ‎used and important units available in ‎many ‎industries such as oil and gas, ‎petrochemical, and power plants. In ‎this research, for the first time, a ‎detailed systematic inspection and ‎maintenance plan for AHPU ‎is ‎determined based on the ‎prioritization of equipment using ‎equipment’s risk analysis. ‎Equipment’s failure risk is ‎calculated ‎based on probability and ‎consequence of failure according to ‎American Petroleum Institute ‎Recommended Practice (API RP) 581. ‎Different ‎maintenance strategies were ‎designed and compared considering ‎several criteria like safety, cost, and ‎feasibility using the analytic hierarchy ‎process. Then risk-based optimal ‎maintenance policy for each group of ‎equipment ‎was identified. Finally ‎results showed that, the equipment ‎identified as high or medium to high ‎risk level such as liquid ‎ammonia ‎storage tank and its related ‎pipes, should has preventive ‎maintenance with an inspection ‎period of 48 months. While for the ‎medium risk equipment such as ‎ammonium hydroxide storage ‎tank ‎and low-risk equipment such as ‎ammonia absorption tank, should ‎have corrective maintenance with ‎inspection period of 72 and 90 ‎months, respectively‎.

Today, small and medium enterprises are considered as one of the main components of economic development for various reasons. To name a few, job creation, resource efficiency, the ability to enhance local technology, the ability to meet new needs, quick decision-making, and training successful managers will all lead to the growth and economic development of countries. Despite these benefits, small and medium enterprises face restrictions in areas such as human resources, specialist forces, and market access. To address these challenges, strategies need to be adopted to support and reinforce the enterprises. Creating a network of export consortium is one of the strategies that help providing a better access to the target market. In this study, first, we identified various dimensions in creating export consortiums and ranked them for small and medium enterprises. Second, based on the grounded theory research methodology, we proposed a model by examining the dimensions, components and categories affecting the establishment of successful export consortia. Accordingly, 26 subcategories are categorized into 6 main categories. Then, their relative importance in the success of the export consortia is determined by identifying the weights of each category and using the Hierarchical Analysis Method (AHP).

The purpose of this paper was to design a conceptual model of sustainable outsourcingwith a balanced scorecard using the hierarchical analysis process. In this research, success factors of outsourcing were identified based on previous studies conducted inside and outside of the country. To ensure the validity of the factors, in addition to the content validity and the validity index, the reliability was guaranteed using the inconsistencyratio of the paired comparison questionnaire based on the Expert Choice report. An affinity diagram developed using the brainstorming approach was implemented for strategic objectives of the model. Our findings indicated that a sustainable outsourcing model was successfully designed using a balanced scorecard. Economic, social and environmental sustainability was considered in each of the balanced scorecard faces used in the model. In this work, sustainable domestic business, customer satisfaction, and sustainable learning and growth were the main objectives. Finally, a balanced scorecard with 26 strategic objectives was designed and implemented. To this end, paired comparisons were performed to compute the importance of each strategic goal in every phase and make prioritization accordingly.

Recently, steel structures have been accounted for a large percentage of the buildings due to their advantages such as higher execution speed and easier construction. In steel structures, welded joints are commonly used and their quality plays a key role in stability of buildings under applied loads. Hence, to increase resiliency of welded steel structures against natural hazards, welded joints quality should be improved. In this article, a statistical study was done on welding defects of different connections in 50 welded steel buildings that were being constructed in district 12 (Mashhad, Iran). The reasons for selecting this district were high rates of construction and high potential of hazards. Actually, initial information about joints importance and weld defects were collected by distributed questionnaires among building designer engineers and weld inspectors. In this paper, we used the Expert Choice software that works according to Analytic Hierarchy Process (AHP) to prioritize weld defects in different connections of the buildings and define management solutions to improve them. The priority results revealed that in the non-rigid connections crater, slag inclusion and spatter are more critical whereas in the rigid connections Lack of Penetration (LoP) and Lack of Fusion (LoF) are more critical than the other welding defects in steel building structures.

Deriving weights from a pairwise comparison matrix (PCM) is a subject for which a wide range of methods have been presented. This paper proposes a common weight multi criteria decision analysis-data envelopment analysis (MCDA-DEA) approach with assurance region for weight derivation from a PCM. The proposed method has a more discrimination power over the conventional methods for weight derivation from a pairwise comparison matrix. Furthermore, the proposed model has several merits over the competing approaches and lacks the drawbacks of the well-known Data Envelopment Analysis HP and data envelopment analysis / assurance region methods (DEA/AR) methods. Some numerical examples and a case study are taken from the literature in order to confirm the merits of the proposed method and its applications in multi criteria decision making. Results disclose the advantages of the proposed approach.