Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station

Environmental ergonomics deals with the effect of environmental factors on human health, comfort and performance. This day-to-day interaction between humans and environment affects performance and productivity of employees in various industries. Indoor temperature is one of the fundamental character...

Full description

Saved in:

Bibliographic Details
Main Author:	Ajmi, Ahmed Ali
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/20767/1/Study%20And%20Analysis%20The%20Impact%20Of%20Temperature%20In%20Turbine%20Room%20On%20The%20Performance%20Of%20Workers%20In%20Power%20Station.pdf http://eprints.utem.edu.my/id/eprint/20767/2/Study%20And%20Analysis%20The%20Impact%20Of%20Temperature%20In%20Turbine%20Room%20On%20The%20Performance%20Of%20Workers%20In%20Power%20Stations.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.20767
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Kamat, Seri Rahayu
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Ajmi, Ahmed Ali Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station
description	Environmental ergonomics deals with the effect of environmental factors on human health, comfort and performance. This day-to-day interaction between humans and environment affects performance and productivity of employees in various industries. Indoor temperature is one of the fundamental characteristics of the indoor environment. The work environment has an effect on the performance of workers. The thermal work environment in various sectors will determine the way in which such enterprises prosper.The main problem in this study is the effects of the high temperature of the turbine room on the workers performance at Al-Dora power station in Iraq, because there are many of power stations in Iraq are suffering from reduced in the performance of workers in the turbine rooms due to the high temperature emitted from the turbine and equipment located inside the turbine room.The objective of the study to investigate the temperature effects in the turbine room and equipment on the workers performance and then analyze model framework which will evaluate workers who are suffering from the bad environment in AL-Dora power station .Primary data have been generated through structured questionnaires with close-ended questions by the survey in Iraqi Ministry of Electricity (AL- Dora power station). Statistical Package for the Social Sciences (SPSS) has been used to test the research hypotheses.The sample for this study include the (workers, operators, technicians, and engineers) who work in the turbine rooms at AL-Dora power station are 226 respondents, representing 100% of the target population.This study has been used two types of tools SPSS software the first type was a parametric test like the correlations, mean, standard deviation, regression analysis, histograms, P–P plot and moderation tool. While the second type of test was non-parametric tests like Mann-Whitney U test and Kruskal-Wallis H test.This research is the first study of its kind in the Iraqi Ministry of Electricity to investigate the factors and temperature that affecting on workers performance in turbine room in Iraq, and considered very important and has economic feasibility.Therefore, this study will help the Iraqi Ministry of Electricity to improve performance in turbine room. Results revealed that the temperature inside the turbine room as a moderation has the direct effect of the variables (performance pressure, bad environment, work area, turnover intention) that had direct and significant effects on worker performance which points out to the importance of using methods to reducing the temperature in turbine room and thus increase the performance of workers.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ajmi, Ahmed Ali
author_facet	Ajmi, Ahmed Ali
author_sort	Ajmi, Ahmed Ali
title	Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station
title_short	Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station
title_full	Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station
title_fullStr	Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station
title_full_unstemmed	Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station
title_sort	study and analysis the impact of temperature in turbine room on the performance of workers in power station
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/20767/1/Study%20And%20Analysis%20The%20Impact%20Of%20Temperature%20In%20Turbine%20Room%20On%20The%20Performance%20Of%20Workers%20In%20Power%20Station.pdf http://eprints.utem.edu.my/id/eprint/20767/2/Study%20And%20Analysis%20The%20Impact%20Of%20Temperature%20In%20Turbine%20Room%20On%20The%20Performance%20Of%20Workers%20In%20Power%20Stations.pdf
_version_	1747834002281070592
spelling	my-utem-ep.207672021-10-10T22:55:04Z Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station 2016 Ajmi, Ahmed Ali T Technology (General) TJ Mechanical engineering and machinery Environmental ergonomics deals with the effect of environmental factors on human health, comfort and performance. This day-to-day interaction between humans and environment affects performance and productivity of employees in various industries. Indoor temperature is one of the fundamental characteristics of the indoor environment. The work environment has an effect on the performance of workers. The thermal work environment in various sectors will determine the way in which such enterprises prosper.The main problem in this study is the effects of the high temperature of the turbine room on the workers performance at Al-Dora power station in Iraq, because there are many of power stations in Iraq are suffering from reduced in the performance of workers in the turbine rooms due to the high temperature emitted from the turbine and equipment located inside the turbine room.The objective of the study to investigate the temperature effects in the turbine room and equipment on the workers performance and then analyze model framework which will evaluate workers who are suffering from the bad environment in AL-Dora power station .Primary data have been generated through structured questionnaires with close-ended questions by the survey in Iraqi Ministry of Electricity (AL- Dora power station). Statistical Package for the Social Sciences (SPSS) has been used to test the research hypotheses.The sample for this study include the (workers, operators, technicians, and engineers) who work in the turbine rooms at AL-Dora power station are 226 respondents, representing 100% of the target population.This study has been used two types of tools SPSS software the first type was a parametric test like the correlations, mean, standard deviation, regression analysis, histograms, P–P plot and moderation tool. While the second type of test was non-parametric tests like Mann-Whitney U test and Kruskal-Wallis H test.This research is the first study of its kind in the Iraqi Ministry of Electricity to investigate the factors and temperature that affecting on workers performance in turbine room in Iraq, and considered very important and has economic feasibility.Therefore, this study will help the Iraqi Ministry of Electricity to improve performance in turbine room. Results revealed that the temperature inside the turbine room as a moderation has the direct effect of the variables (performance pressure, bad environment, work area, turnover intention) that had direct and significant effects on worker performance which points out to the importance of using methods to reducing the temperature in turbine room and thus increase the performance of workers. 2016 Thesis http://eprints.utem.edu.my/id/eprint/20767/ http://eprints.utem.edu.my/id/eprint/20767/1/Study%20And%20Analysis%20The%20Impact%20Of%20Temperature%20In%20Turbine%20Room%20On%20The%20Performance%20Of%20Workers%20In%20Power%20Station.pdf text en public http://eprints.utem.edu.my/id/eprint/20767/2/Study%20And%20Analysis%20The%20Impact%20Of%20Temperature%20In%20Turbine%20Room%20On%20The%20Performance%20Of%20Workers%20In%20Power%20Stations.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=104953 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering Kamat, Seri Rahayu 1. Ahmad Rasdan, I. (2010). Influence of Wet-Bulb Globe Temperature (WBGT) Towards Workers’ Performance: An Anova Analysis. 2. Akbari, J., Dehghan, H., Azmoon, H., & Frouharmajd, F. (2013). Relationship between Lighting and Noise Levels and Productivity of the Occupants in Automotive Assembly Industry. Journal of environmental and public health, 2013. 3. Alexander, K. (2013). Facilities management: theory and practice. Routledge. 4. Al-Ibrahim, A. M., & Varnham, A. (2010). A review of inlet air-cooling technologies for enhancing the performance of combustion turbines in Saudi Arabia. Applied Thermal Engineering, 30(14), 1879-1888. 5. Andersson, M., Janczewski, J., Lindman, O., & Persson, M. (2016). U.S. Patent No. 20,160,003,141. Washington, DC: U.S. Patent and Trademark Office. 6. Auffhammer, S. M. Hsiang, W. Schlenker, and A. Sobel. Using weather data and climate model output in economic analyses of climate change. Review of Environmental Economics and Policy, 7(2):181–198, Jul 2013. 7. Barelli, L., & Ottaviano, A. (2015). Supercharged gas turbine combined cycle: An improvement in plant flexibility and efficiency. Energy, 81, 615-626. 8. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173. 9. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173. 10. Baumeister, R. F. 1984 ―Choking under pressure: Self-conscious and paradoxical effects of incentives on skillful performance.‖ Journal of Personality and Social Psychology, 46: 610-620. 11. Blumberg, B. F., Cooper, D. R., & Schindler, P. S. (2005). Survey Research. Business research methods, 243-276. 12. Blumberg, M. S., & Blumberg, M. S. (2009). Body heat: temperature and life on earth. Harvard University Press. 13. Bluyssen, P. M. (2008). Management of the indoor environment: from a component related to an interactive top-down approach. Indoor and Built Environment, 17(6), 483-495. Boztinaztepe, B., & Canan, F. (2008). Lean Tools for Reducing Production Time and Satisfying Employees: A Case Study. 14. Brun, K. & Moore, J., 2002. by. , 616(1998), pp.145–154. Available at: http://turbolab.tamu.edu/proc/turboproc/T35/18-BRUN.pdf. 15. Bushnell, J. B., & Wolfram, C. (2009). The Guy at the Controls: Labor Quality and Power Plant Efficiency. In International Differences in the Business Practices and Productivity of Firms (pp. 79-102). University of Chicago Press. 16. Chen, I. H., Brown, R., Bowers, B. J., & Chang, W. Y. (2015). Work‐to‐family conflict as a mediator of the relationship between job satisfaction and turnover intention. Journal of advanced nursing. 17. Cooper, D. R., & Schindler, P. S. (2003). Business research methods. 18. Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98. 19. Dabale, W. P., Jagero, N., & Nyauchi, M. (2014). The Relationship between Training and Employee Performance: The Case of Mutare City Council, Zimbabwe. International Journal of Human Resource Studies, 4(4), Pages-61. 20. De Gouw, J. A., Parrish, D. D., Frost, G. J., & Trainer, M. (2014). Reduced emissions of CO2, NOx, and SO2 from US power plants owing to switch from coal to natural gas with combined cycle technology. Earth's Future, 2(2), 75-82. 21. DeMarco, T., & Lister, T. (2013). Peopleware: productive projects and teams. Addison-Wesley. 22. Denscombe, M. (2014). The good research guide: for small-scale social research projects. McGraw-Hill Education (UK). 23. Devore, J. (2015). Probability and Statistics for Engineering and the Sciences. Cengage Learning. 24. Djamila, H., Chu, C. M., & Kumaresan, S. (2014). Effect of Humidity on Thermal Comfort in the Humid Tropics. Journal of Building Construction and Planning Research, 2014. 25. Doroshenko, Z. (2012). Indoor Climate and Productivity. 26. Dress, G.G and J.D .Shaw, 2001 . Voluntary turnover, Social capital and Organizational performance. Acad Manage. Rev.,26: 446-456 27. Echeverria, D., Barnes, V., & Bittner, A. (1994). The impact of environmental conditions on human performance: A critical review of the literature. Volume 2. Nuclear Regulatory Commission, Washington, DC (United States). Div. of Systems Research. 28. Efron, B. , Tibshirani, R. J. 2014. An introduction to the bootstrap, CRC press. 29. Ellison Schriefer, A. (2005). Workplace strategy: What it is and why you should care. Journal of corporate real estate, 7(3), 222-233. 30. Feldman, R.S. (2011) Developmental Psychology: Explore the Life Development Track. China Machine Press, Beijing. 31. Field, A. (2009). Discovering statistics using SPSS. Sage publications. 32. Gardner, H. K. (2012). Performance pressure as a double-edged sword enhancing team motivation but undermining the use of team knowledge. Administrative Science Quarterly, 57(1), 1-46. 33. Gardner, H. K. (2012). Performance pressure as a double-edged sword enhancing team motivation but undermining the use of team knowledge.Administrative Science Quarterly, 57(1), 1-46. 34. Giampaolo, T. (2014). Gas Turbine Handbook Principles and Practices By Tony Giampaolo: Gas Turbine Handbook. Digital Designs. 35. Gibbons, J. D., & Chakraborti, S. (2011). Nonparametric statistical inference (pp. 977-979). Springer Berlin Heidelberg. 36. Gigerenzer, G. (2004). Mindless statistics. The Journal of Socio-Economics, 33(5), 587-606. 37. Gundecha, M. M, (2012). Study of Factors Affecting Labor Productivity at a Building Construction Project in the Usa: Web Survey. North Dakota State University Graduate School. 38. Hameed, A., & Amjad, S. (2009). Impact of office design on employees productivity: a case study of banking organizations of Abbottabad, Pakistan. 39. Harris, R. (2012). Introduction to decision making, Part 1. VirtualSalt, June 9, 2012. 40. Hinze, S. R., & Rapp, D. N. (2014). Retrieval (sometimes) enhances learning: performance pressure reduces the benefits of retrieval practice. Applied Cognitive Psychology, 28(4), 597-606. 41. Holmes, W. H., & Rinaman, W. C. (2014). Comparing Means of Related Samples. In Statistical Literacy for Clinical Practitioners (pp. 283-302). Springer International Publishing. 42. Holmes, W. H., & Rinaman, W. C. (2015). Statistical Literacy for Practitioners. Springer. Hughes, L. E. (2007). The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to assess risks. 43. Hummelgaard, J., Juhl, P., Sæbjörnsson, K.O., Clausen, G., Toftum, J. and Langkilde, G. 2007. Indoor air quality and occupant satisfaction in five mechanically and four naturally ventilated open-plan office buildings. Building and Environment, 42(12); 4051-4058. 44. Ismail, A. R., Jusoh, N., Zulkifli, R., Sopian, K., & Deros, B. M. (2009). Thermal Comfort Assessment: A Case Study at Malaysian Automotive Industry. American Journal of Applied Sciences, 6(8), 1495. 45. Istepanian, H. H. (2014). Iraq's Electricity Crisis. The Electricity Journal, 27(4), 51-69. 46. Jam, F. A., Sheikh, R. A., Iqbal, H., Zaidi, B. H., Anis, Y., & Muzaffar, M. (2011). Combined effects of perception of politics and political skill on employee job outcomes. African journal of business management, 5(23), 9896-9904. 47. Jeffrey Pfeffer (2007) Human Resources from an Organizational Behavior Perspective: Some Paradoxes Explained The Journal of Economic Perspectives Vol. 21, No. 4. pp. 115 134 48. Kahya, E. (2007). The effects of job characteristics and working conditions on job performance. International journal of industrial ergonomics, 37(6), 515-523. 49. Kampmann, B. and Piekarski, C. 2005. Assessment of the risks of heat disorders encountered during work in hot conditions in German hard coal mines. Elsevier Ergonomics Book Series, 3, 79-84. 50. Kaviri, A. G., Jaafar, M. N. M., & Lazim, T. M. (2012). Modeling and multi-objective exergy based optimization of a combined cycle power plant using a genetic algorithm. Energy Conversion and Management, 58, 94-103. 51. Khadija Al Arkoubi, James W. Bishop, Dow Scott,(2011) “An Investigation of the Determinants of Turnover Intention among Drivers” 52. Kim, H. S., Liu, W., Chen, G., Chu, C. W., & Ren, Z. (2015). Relationship between thermoelectric figure of merit and energy conversion efficiency. Proceedings of the National Academy of Sciences, 112(27), 8205-8210. 53. Kohli, U (2012). Productivity: National vs. Domestic (PDF). Sydney, Australia: EMG Workshop, University of New South Wales, November 21–23, 2012. 54. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educ psychol meas. 55. Lan L, Wargocki P, Lian Z: Quantitative measurement of productivity loss due to thermal discomfort. Energy Build 2011, 43:1057-1062. 56. Lan, L., Lian, Z., Pan, L., & Ye, Q. (2009). Neurobehavioral approach for evaluation of office workers' productivity: The effects of room temperature. Building and Environment, 44(8), 1578-1588. 57. Lan, L., Wargocki, P., & Lian, Z. (2012). Optimal thermal environment improves performance of office work. REHVA J, 49, 12-17. 58. Li Lan., Pawel Wargocki., Zhiwei Lian., (2011). Quantitative measurement of productivity loss due to thermal discomfort. Energy and Building, 43: 1057-1062. 59. Li, L., Lian, Z.W., Li, P. and Qian, Y. 2008. Neurobehavioral approach for evaluation. 60. Lundgren, K., Kuklane, K., Gao, C., & Holmer, I. (2013). Effects of heat stress on working populations when facing climate change. Industrial health, 51(1), 3-15. 61. Maarleveld, M., & De Been, I. (2011). The influence of the workplace on perceived productivity. In EFMC2011: Proceedings of the 10th EuroFM research symposium: Cracking the productivity nut, Vienna, Austria, 24-25 May, 2011. EuroFM. 62. Mahdavi, S., Esmaelzadeh, A., Ebrahemzadeh, F., Rashidi, R., & Naeimi, N. (2015). Comparing the Core Body Temperature and the Heat Stress indices of HSI and WBGT in lorestan Steels Industry Workers. Archives of Hygiene Sciences, 3(4). 63. Maula, H., Hongisto, V., Östman, L., Haapakangas, A., Koskela, H., & Hyönä, J. (2015). The effect of slightly warm temperature on work performance and comfort in open‐plan offices–a laboratory study. Indoor air. 64. McTague, Bob, comp. Productivity Improvements on Alberta Major Construction Projects. Vers.1. May 2002. 65. Mohan, G., Dahal, S., Kumar, U., Martin, A., & Kayal, H. (2014). Development of Natural Gas Fired Combined Cycle Plant for Tri-Generation of Power, Cooling and Clean Water Using Waste Heat Recovery: Techno-Economic Analysis. Energies, 7(10), 6358-6381. 66. Morrow, S. L., Koves, G. K., & Barnes, V. E. (2014). Exploring the relationship between safety culture and safety performance in US nuclear power operations. Safety Science, 69, 37-47. 67. Nachar, N. (2008). The Mann-Whitney U: A test for assessing whether two independent samples come from the same distribution. Tutorials in Quantitative Methods for Psychology, 4(1), 13-20. 68. Naharuddin, N. M., & Sadegi, M. (2013). Factors of Workplace Environment that Affect Employees Performance: A Case Study of Miyazu Malaysia.International Journal of Independent Research and Studies, 2(2), 66-78. 69. Neidhardt, A., Osha, C. & Dewey, R., 2012. Excessive Heat at Work : How to Prevent Indoor Heat Illness. 70. Nystrom, P. C., and W. H. Starbuck 1984 ―To avoid organizational crises, unlearn.‖ Organizational Dynamics, 12: 53-65. 71. Pangarkar, N. 2007 ―Survival during a crisis: Alliances by Singapore firms.‖ British Journal of Management, 18: 209- 223. Pearsall. 72. Panggabean, M. P. (2004). Regional Growth: Economically Important Sectors. Institute of Southeast Asian Studies. 73. Panneerselvam, R. (2004). Research methodology: PHI Learning Pvt. Ltd. 74. Parsons, K. (2014). Human thermal environments: the effects of hot, moderate, and cold environments on human health, comfort, and performance. Crc Press. 75. Parsons, K. (2014). Human thermal environments: the effects of hot, moderate, and cold environments on human health, comfort, and performance. Crc Press. 76. Parsons, K.C. 2000. Environmental ergonomics: a review of principles, methods and models. Applied ergonomics, 31: 581-594. 77. Pearson, K. (1894). Contributions to the mathematical theory of evolution. Philosophical Transactions of the Royal Society of London. A, 71-110. Perez, M. (2008). Turnover intent. Basılmamış Yğksek Lisans Tezi. 78. Popper, K. (2005). The logic of scientific discovery. Routledge. 79. Rahman MM, Ibrahim TK, Taib MY, Noor MM, Kadirgama K, Bakar RA (2010). Thermal analysis of open-cycle regenerator gas-turbine powerplant. WASET. 68: 94-99. 80. Rantanen, H. (2013). Generational work environment preferences: Case Ovenia. 81. Robbins, S.P. (2005). Essentials of organisational behaviour (8 th ed.). New Jersey : Prentice Hall. 82. Rowold, J. (2008). Multiple effects of human resource development interventions. Journal of European Industrial Training, 32(1), 32-44. 83. Sabir, M. S., Iqbal, J. J., Rehman, K. U., Shah, K. A., & Yameen, M. (2012). Impact of corporate ethical values on ethical leadership and employee performance. International Journal of Business and Social Science, 3(2), 163-171. Seifert PC, Hickman DS. Enhancing patient safety in a healing environment. [Accessed January 17, 2010]. 84. Sekaran, U. (2003). Research methodology for business: A skill building approach, 3rd Edition. John Wiley and sons Ltd Publication 85. Sekaran, U. (2003). Research methodology for business: A skill building approach, 3rd Edition. John Wiley and sons Ltd Publication. 86. Seljak, T., Oprešnik, S. R., Kunaver, M., & Katrašnik, T. (2014). Effects of primary air temperature on emissions of a gas turbine fired by liquefied spruce wood. Biomass and Bioenergy, 71, 394-407. 87. Seljak, T., Oprešnik, S. R., Kunaver, M., & Katrašnik, T. (2014). Effects of primary air temperature on emissions of a gas turbine fired by liquefied spruce wood. Biomass 88. Seppänen, O. A., & Fisk, W. (2006). Some quantitative relations between indoor environmental quality and work performance or health. Hvac&R Research, 12(4), 957-973. 89. Seppanen, O., Fisk, W. J., & Faulkner, D. (2004). Control of temperature for health and productivity in offices. Lawrence Berkeley National Laboratory. 90. Seppänen, O., Fisk, W.J., Faulkner, D. Cost benefit analysis of the night-time ventilative cooling. In: Proceedings of the Healthy Buildings 2003 Conference. Singapore 2003, Vol 3:394-399. 91. Seppänen, O., Fisk, W.J., Faulkner, D. Cost benefit analysis of the night-time ventilative cooling. In: Proceedings of the Healthy Buildings 2003 Conference. Singapore 2003, Vol 3:394-399. 92. Singh, O., & Agarwal, M. (2014). Energy and Exergy Analysis of Brayton-Brayton Hybrid Cycle for Power Plant Applications. Engineering Letters, 22(4). 93. Singh, S., & Kumar, R. (2012). Ambient air temperature effect on power plant performance. TC, 1(11), 1. 94. Sivunen, M., Kajander, J. K., & Kosonen, R. I. S. T. O. (2014). Good indoor environment and energy efficiency increase monetary value of buildings. Rehve Journal. 95. Straub, D.W. (1989). “Validating Instruments in MIS Research,” MIS Quarterly (13:2), pp 147-169. 96. Taiwo, A. S. (2009). The influence of work environment on workers’ productivity: a case of selected oil and gas industry in Lagos, Nigeria, African Journal of Business Management, Vol. 4, pp. 299-307. 97. Tanabe, S. I., Haneda, M., & Nishihara, N. (2015). Workplace productivity and individual thermal satisfaction. Building and Environment, 91, 42-50. 98. Thomas, J. R., Silverman, S., & Nelson, J. (2015). Research Methods in Physical Activity, 7E. Human Kinetics. 99. Uzoma, I. C., Chukwu, B. I., & FIIA, M. (2014). Environmental Consideration for Exporting Firms in Shoe and Leather Industry in Nigeria. Journal of Economics and Sustainable Development, 5(21), 24-31. 100. Van der Kleij, E. E. (2008). The quality of environment in South African childcare centers (Doctoral dissertation, Masters thesis, Utrecht University, Netherlands). 101. Vimalanathan, K., & Babu, T. R. (2014). The effect of indoor office environment on the work performance, health and well-being of office workers. IJEHSE, 12, 2-8. 102. Von Hippel, P. T. (2005). Mean, median, and skew: Correcting a textbook rule. Journal of Statistics Education, 13(2), n2. 103. Vroom, V. H. (1964). Work and motivation. 104. Wijewardane, S., & Jayasinghe, M. T. R. (2013). Thermal comfort temperature range for factory workers in warm humid tropical climates. Renewable Energy, 33(9), 2057-2063. 105. Willick, K., Storer, B., & Wesolkowski, S. (2013, June). A new principal curve algorithm and standard deviation clouds for non-parametric ordered data analysis. In Evolutionary Computation (CEC), 2013 IEEE Congress on (pp. 1459-1466). 106. Wilson, J. R., & Sharples, S. (Eds.). (2015). Evaluation of human work. CRC Press. 107. Zeng, F., Yang, C., & Yang, Z. (2011, March). Typical Characteristics of Gas Turbine-Based CCHP System with Inlet Air Cooling. In Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific (pp. 1-4).

Study And Analysis The Impact Of Temperature In Turbine Room On The Performance Of Workers In Power Station

Similar Items