Informatics Publishing Limited

N. Vijayakumar ¹, M. Dharani ², S. Muruganandan ³

Affiliations
1 PSG Institute of Management (Autonomous), Coimbatore, Tamilnadu, IN
2 Department of Finance, ICFAI Business School, ICFAI University Hyderabad, Telangana, IN
3 PG studies and Research Department of Commerce, SDM College, Ujire- 574240, Mangalore, Karnataka, IN

Abstract

This study examines the impact of Weather factors on return and volatility of the Indian stock market. The study uses the daily data of top four metros and tests its impact on the return and volatility of S&P CNX Nifty index from January 2008 to December 2013. This study applies GARCH (1, 1) model and find that the stock returns are influenced by temperature in Chennai and the stock return volatility influenced by the temperature in Mumbai, Delhi and Kolkata.

Keywords

Weather Effect, Volatility, ARCH, GARCH and Stock Market.

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N. Vijayakumar ¹, V. N. Gaitonde ¹, H. K. Madhusudhana ¹, A. R. Lakkundi ¹, Praveen Kumar ¹

Affiliations
1 Department of Industrial & Production Engineering, B.V.B. College of engineering & Technology, Hubli-580 031, Karnataka, IN

Abstract

Blooms Taxonomy is a framework for classifying statements of what faculty expect or intend students to learn as a result of instruction. Bloom's Taxonomy provides an important framework for faculty to focus on higher order thinking, by providing a hierarchy of levels, this taxonomy can assist faculty in designing performance tasks, crafting questions for conferring with students, and providing feedback on student work. Achieving higher order of learning in some courses is challenging task for a faculty so an effort is made in this course to how a remembering level concept can be taken to analyzing level through an open ended activity.

In a process manufacturing the variation occurs because of part to part variation and measurement variation in turn the measurement variation is due to operator involving in measurement (Reproducibility) or the variation due to the gage(Repeatability) and it is popularly known as Gage R&R so this concept, students study in the metrology and quality engineering subject which will be addressing only remembering level of blooms taxonomy so in order to give an experiential learning and in order to achieve higher level of blooms level an open ended activity is designed for IV sem B. E. Industrial and Production Engineering students how these concepts used in the industry I. e. Studying the gage R&R in "Metrology and Quality Engineering" laboratory using Measurement System Analysis (MSA) tool, wherein the students need to design an experiment in order to analyze the gage R&R in terms of the part to be required to measure the data, instruments to be used and number of data to be collected etc. After the collection of data, gage R&R (Repeatability and Reproducibility) has been analyzed using MINITAB software and the capability of gage to be inspected was assessed by the students. Through this open ended activity, the ABET 3b program outcome was measured and analyzed.

Keywords

Blooms Taxonomy, Gage R&R, Design of Experiments (DOE), Measurement System Analysis (MSA).

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N. Vijayakumar ¹, V. N. Gaitonde ¹, A. R. Lakkundi ¹, H. K. Madhusudhana ¹, G. Jangali Satish ¹

Affiliations
1 Department of Industrial & Production Engineering, B.V.B. College of Engineering & Technology, Hubli-580 031, Karnataka, IN

Abstract

Technical education programs have embraced experiential learning as a true learning methodology for students to obtain occupational skills valued by employers. Programs have integrated classroom instruction with laboratory experiences to provide students a significant opportunity to learn. A fundamental component in professional education is the link between theory and practice. However, many students in professional education programs experience a lack of coherence between theory and practice, which is often described as the theory practice gap. This work is apart of "Bridging the Gap" in metrology and quality engineering course, designed for the undergraduate students of VI Semester Industrial and Production Engineering of BVBCET, Hubli, an autonomous institute. Two problem statements were given to the students; one was on the process capability analysis of machines and another on the construction of control chart for variables, which they have to solve after conducting the experiments in machine shop in batches. The students had to chalk out the necessary information to conduct the experiment like profile, sample size, subgroup size and finally analyze the experimental data to decide whether machine is capable to meet the specifications of part and detect the presence of assignable or un assignable causes of variation using process capability analysis and control chart respectively. After the completion of this exercise, the students could realize the importance of process capability analysis and control charts in the manufacturing industries. This activity was step forward in bridging the gap between theory and lab through experiential learning. The performance indicators (PIs) of the ABET program outcome '3b' were underlying the motivators while designing the present experiential learning activity.

Keywords

Experiential Learning, Process Capability, Control Chart, Performance Indicator, Assessment Rubrics.

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