Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process

In today’s marketplace, business has become more diversified and competitive in securing its market share. In order to sustain in business under the fierce competition, a company needs to eliminate the non-value added activities of the operation so that efficient and effective performance can be obt...

Full description

Saved in:

Bibliographic Details
Main Author:	Chung, Kar Yee
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/23888/1/Productivity%20Improvement%20Through%20Work%20System%20Design%20Method%20For%20Better%20Man%20Power%20Utilization%20At%20Robot%20Welding%20Process.pdf http://eprints.utem.edu.my/id/eprint/23888/2/Productivity%20Improvement%20Through%20Work%20System%20Design%20Method%20For%20Better%20Man%20Power%20Utilization%20At%20Robot%20Welding%20Process.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.23888
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Ebrahim, Zuhriah
topic	T Technology (General)
spellingShingle	T Technology (General) Chung, Kar Yee Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process
description	In today’s marketplace, business has become more diversified and competitive in securing its market share. In order to sustain in business under the fierce competition, a company needs to eliminate the non-value added activities of the operation so that efficient and effective performance can be obtained. This study focuses on the improvement of productivity through effective utilization of manpower in the production line by using time study approach and MOST analysis. Three objectives have been set; (i) to identify the non-value added activities at the robot welding production line; (ii) to provide solution to reduce the non-value added activities at the welding production line; (iii) to increase the manpower utilization by 30%. Direct observation is conducted to determine the non-value added activities at the robot welding production line. Time study approach is applied to determine the actual cycle time of operator work content. MOST analysis was then presented to analyze the operation in a detail way which focused on the movement of object. Comparison between time study result and MOST analysis was conducted to investigate the operation. After that, a solution is provided to reduce the non-value added activities at the robot welding production line. Lastly, time study is carried out to validate the proposed solution. Results of the project show that; (i) non-value added activities at the robot welding production line are identified (i.e. list of the non-value added activities); (ii) a new work sequence layout has been proposed to reduce the operator waiting time; (iii) the manpower utilization has increased by 26.44% as well as the labor productivity has been improved by 66.67%. Thus, this study concludes that effective utilization of manpower can improve the labor productivity.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Chung, Kar Yee
author_facet	Chung, Kar Yee
author_sort	Chung, Kar Yee
title	Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process
title_short	Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process
title_full	Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process
title_fullStr	Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process
title_full_unstemmed	Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process
title_sort	productivity improvement through work system design method for better man power utilization at robot welding process
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Manufacturing Engineering
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/23888/1/Productivity%20Improvement%20Through%20Work%20System%20Design%20Method%20For%20Better%20Man%20Power%20Utilization%20At%20Robot%20Welding%20Process.pdf http://eprints.utem.edu.my/id/eprint/23888/2/Productivity%20Improvement%20Through%20Work%20System%20Design%20Method%20For%20Better%20Man%20Power%20Utilization%20At%20Robot%20Welding%20Process.pdf
_version_	1776103122479874048
spelling	my-utem-ep.238882023-05-25T16:06:00Z Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process 2018 Chung, Kar Yee T Technology (General) In today’s marketplace, business has become more diversified and competitive in securing its market share. In order to sustain in business under the fierce competition, a company needs to eliminate the non-value added activities of the operation so that efficient and effective performance can be obtained. This study focuses on the improvement of productivity through effective utilization of manpower in the production line by using time study approach and MOST analysis. Three objectives have been set; (i) to identify the non-value added activities at the robot welding production line; (ii) to provide solution to reduce the non-value added activities at the welding production line; (iii) to increase the manpower utilization by 30%. Direct observation is conducted to determine the non-value added activities at the robot welding production line. Time study approach is applied to determine the actual cycle time of operator work content. MOST analysis was then presented to analyze the operation in a detail way which focused on the movement of object. Comparison between time study result and MOST analysis was conducted to investigate the operation. After that, a solution is provided to reduce the non-value added activities at the robot welding production line. Lastly, time study is carried out to validate the proposed solution. Results of the project show that; (i) non-value added activities at the robot welding production line are identified (i.e. list of the non-value added activities); (ii) a new work sequence layout has been proposed to reduce the operator waiting time; (iii) the manpower utilization has increased by 26.44% as well as the labor productivity has been improved by 66.67%. Thus, this study concludes that effective utilization of manpower can improve the labor productivity. 2018 Thesis http://eprints.utem.edu.my/id/eprint/23888/ http://eprints.utem.edu.my/id/eprint/23888/1/Productivity%20Improvement%20Through%20Work%20System%20Design%20Method%20For%20Better%20Man%20Power%20Utilization%20At%20Robot%20Welding%20Process.pdf text en public http://eprints.utem.edu.my/id/eprint/23888/2/Productivity%20Improvement%20Through%20Work%20System%20Design%20Method%20For%20Better%20Man%20Power%20Utilization%20At%20Robot%20Welding%20Process.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113636 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering Ebrahim, Zuhriah 1. Adebayo, A. (2007). An Investigation into the Use of Work Study Techniques in Nigerian Manufacturing Organizations. Research Journal of Applied Sciences, 2(6), pp. 752- 758. 2. Aft, L. S. (2000). Work Measurement and Methods Improvement (Vol. 9). John Wiley & Sons. 3. Aft, L. S. (2001). Measurement of Work. In K. B. Zandin & H. Maynard (Ed.), Maynard’s Industrial Engineering Handbook (5th Ed.), pp. 5.1-5.22. New York: McGraw-Hill Education 4. Alkan, B., Vera, D., Ahmad, M., Ahmad, B., & Harrison, R. (2016). A Model for Complexity Assessment in Manual Assembly Operations through Predetermined Motion Time Systems. Procedia CIRP, 44, pp. 429-434. 5. Arunagiri, P., & Gnanavelbabu, A. (2016). Identification Of Major Lean Waste and Its Contributing Factors Using The Fuzzy Analytical Hierarchy Process. Transactions of the Canadian Society for Mechanical Engineering, 40(3), pp. 371. 6. Barnes, R.M. (1980). Motion and Time Study, Design and Measurement of Work. John Wiley & Sons, New York. 7. Belokar, R. M., Dhull, Y., Nain, S., and Nain, S. (2012). Optimization of Time by Elimination of Unproductive Activities through ‘MOST’. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 1(1), pp 77-80. 8. Bon, A. T., & Daiyanni Daim. (2010). Time Motion Study in Determination of Time Standard in Manpower Process. Proceedings of the 3rd Engineering Conference on Advancement in Mechanical and Manufacturing for Sustainable Environment, Sarawak, Malaysia, pp. 1–6. 98Bures, M., & Pivodová, P. (2015). Comparison of Time Standardization Methods On The 9. Basis Of Real Experiment. Procedia Engineering, 100, pp. 466-474. 10. Chaudhary, R., Singh, R. C., & Kukreja, V. (2008). An Innovative Approach To Time Study Through Maynard Operation Sequence Technique. Proceeding of the 15th ISME International Conference on New Horizons of Mechanical Engineering, Rajiv Gandhi Technology University, India, pp. 638–645 11. Chiarini, A., & Vagnoni, E. (2014). Lean Production, Job Satisfaction and Motivation in the Italian Manufacturing Industry. 12. Das, B. (1990). Personal, Unavoidable Delay, and Fatigue Allowances For Setting Performance Standards. International Journal of Operations & Production Management, 10(5), pp. 62-70. 13. Dibia, I. K., & Onuh, S. (2010). Lean Revolution and the Human Resource Aspects. Proceedings of the World Congress on Engineering 2010, London, U.K., pp. 2347– 2350. 14. Domingo, R. T. (2013). Identifying and Eliminating the Seven Wastes or Muda. Asian Institute of Management. 15. Donald, L. C. (1970). Planning for Clerical Work Measurement, American Management Inc. 16. Duran, C., Cetindere, A., & Aksu, Y. E. (2015). Productivity Improvement By Work And Time Study Technique For Earth Energy-Glass Manufacturing Company. Procedia Economics and Finance, 26, pp. 109-113. 17. Freivalds, A., & Niebel, B. (2014). Niebel’s Methods, Standards, & Work Design (13th Ed.). McGraw-Hill Higher Education. 18. Genaidy, A. M., Mital, A., & Obeidat, M. (1989). The Validity of Predetermined Motion Time Systems in Setting Production Standards for Industrial Tasks. International Journal of Industrial Ergonomics, 3(3), pp. 249-263. 99Grzelczak, A., & Werner-Lewandowska, K. (2016). Eliminating muda (waste) in lean management by working time. Arabian Journal of Business and Management Review, 6(3). 19. Hartanti, L. P. S. (2016). Work Measurement Approach to Determine Standard Time in Assembly Line. International Journal of Management and Applied Science, 2(1), pp. 192-195. 20. Hicks, B. J. (2007). Lean information management: Understanding and eliminating waste. International Journal of Information Management, 27(4), pp. 233-249. International Labor Organisation (ILO). .Introduction to Work Study. Universal Publishing Corp, India. Third Revised Edition. 21. Jadhav, M., Mungase, S., & Karad, A. A. (2017). Productivity Improvement through Maynard Operation Sequence Technique. 22. Jamil, M., Gupta, M., Saxena, A., & Agnihotri, M. V. (2013). Optimization of Productivity by Work Force Management through Ergonomics and Standardization of Process Activities using MOST Analysis-A Case Study. Global Journal of Research in Engineering. 23. Joseph, P. (1987). Productivity Management-A Practical Handbook. Geneva, ILO, 3-6. 24. Kamble, R., & Kulkarni, V. (2014). Productivity Improvement at Assembly Station Using Work Study Techniques. International Journal of Research in Engineering and Technology (IJRET) eISSN, pp. 2319-1163. 25. Kanawaty, G. (1992). Introduction to Work Study (4th Ed.). International Labor Organization. 26. Kanda, R., Akhai, S., & Bansal, R. (2013). Analysis of MOST Technique for Elimination of Ideal Time by Synchronization of Different Lines. International Journal, 1(4). 100Karim, A. M., Tuan, S. T., & Emrul Kays, H. M. (2016). Assembly Line Productivity Improvement As Re-Engineered By MOST. International Journal of Productivity and Performance Management, 65(7), pp. 977-994. 27. Kavanagh, S., & Krings, D. (2014). The 8 Sources of Waste and How to Eliminate Them. Improving Performance with Lean Management Techniques, 9. 28. Khaleel, Y., Sulaiman, R., Ali, N. M., & Baharuddin, M. S. (2011). Analysis of Enterprise Resource Planning System (ERP) in Small and Medium Enterprises (SME) of Malaysian Manufacturing Sectors: Current Status and Practices. Asia-Pacific Journal of Information Technology and Multimedia, 10(1). 29. Kim, S. (2016). Time and motion study of oil pump assembly. International Journal of Innovative Research in Computer Science & Technology, 4(4), 124–126. 30. Kumar, G., Kumar, R., & Gupta, S. K. (2013). Enhancement In Productivity In Sheet Metal Industry Through Lean Principles. International Journal on Emerging Technologies, 4(1), pp.186-191. 31. Kurata, Y. B., Matias, A. C., & Grepo, L. C. (2015). Manpower Utilization in the Hotdog Meat Processing Production of a Meat Processing Company. Procedia Manufacturing, 3, pp. 340-345. 32. Matias, A. C. (2001). Work measurement: Principles and Techniques. In G. Salvendy (Ed.), Handbook of industrial engineering: technology and operations management (3rd ed., pp. 1409–1462). New York: John Wiley & Sons. 33. Mehta, A. D., & Desai, D. A. (2014). A Review of Industrial Engineering Technique: An Application and Future Scope of Work. International Journal of Management, pp. 2348-0513. 34. Misterek, S. D., Dooley, K. J., & Anderson, J. C. (1992). Productivity as a performance measure. International Journal of Operations & Production Management, 12(1), pp. 29-45. 35. Moktadir, M. A., Ahmed, S., & Fatema-Tuj-Zohra, S. R. (2017). Productivity Improvement By Work Study Technique: A Case On Leather Products Industry Of Bangladesh. Ind. Eng. Manag., 6, pp. 1-11. 36. Mwanza, B. G., & Mbohwa, C. (2016). Application Of Work Study For Productivity Improvement: A Case Study Of A Brewing Company. 37. Nadler, G. (1963). Work Design. Richard C. Irwin, Homewood, IL. 38. Nathan, L. (2018). Manufacturing Sector Looks Positive In 2018. The Malaysian Reserve (TMR). Retrieved from: https://themalaysianreserve.com/2018/03/13/manufacturing-sector-looks-positivein-2018/ 39. Niebel, B. W. (1962). Motion and Time Study. Richard D. Irwin, Inc., Homewood, Illinois. 40. Nuutinen, Y., Väätäinen, K., Heinonen, J., Asikainen, A., & Röser, D. (2008). The Accuracy of Manually Recorded Time Study Data for Harvester Operation Shown Via Simulator Screen. 41. Panneerselvam, R. (2012). Production and Operations Management. PHI Learning Pvt. Ltd. 42. Patil, A. S., Patil, S. S., & Chougale, G. (2017). Improvement of Productivity for an Engine Assembly Line with the Help of Maynard Operating Sequence Technique (MOST). International Journal of Engineering Research and Technology, 10(1), pp. 795-800. 43. Pisuchpen, R. and Chansangar, W. (2014). Modifying Production Line for Productivity Improvement: A Case Study of Vision Lens Factory. Songklanakarin Journal of Science and Technology, 36(3), pp. 345-357. 44. Puvanasvaran, A. P., Kerk, R. S., & Ismail, A. R. (2010). Work Study Improvement for Cuervo (Analog) Product in an Electronic Industry. National Conference in Mechanical Engineering Research and Postgraduate Studies (2nd NCMER 2010), Pahang, Malaysia, pp. 712–723. 45. Raut, S. K., Relekar, K. M., & Dhane, M. V. S. (2014). A Case Study of Productivity Improvement by using IE Tools. International Journal of Innovations in Engineering Research and Technology, 1(1). 46. Razmi, J., & Shakhs-Niyaee, M. (2008). Developing A Specific Predetermined Time Study Approach: An Empirical Study In A Car Industry. Production Planning and Control, 19(5), pp. 454-460. 47. Salehi, M., Shirouyehzad, H., & Dabestani, R. (2013). Labor Productivity Measurement Through Classification And Standardisation of Products. International Journal of Productivity and Quality Management, 11(1), pp. 57-72. 48. Scallan, P. (2003). Process Planning: The Design/Manufacture Interface. Elsevier. 49. Seifermann, S., Böllhoff, J., Metternich, J., & Bellaghnach, A. (2014). Evaluation Of Work Measurement Concepts For A Cellular Manufacturing Reference Line To Enable Low Cost Automation For Lean Machining. Procedia CIRP, 17, pp. 588-593. 50. Sellie, C. N. (2001). Stopwatch time study. In K. B. Zandin & H. Maynard (Ed.), Maynard’s Industrial Engineering Handbook (5th ed., pp. 17.21-17.46). New York: McGrawHill Education 51. Singeyasu, S. (1987). Key to Productivity: Work Measurement- An International Survey Report, MTM, J. Method-Time Measurement, 13, pp. 68-75. 52. Singh, H., Motwani, J., & Kumar, A. (2000). A Review and Analysis of the State-Of-TheArt Research on Productivity Measurement. Industrial Management & Data Systems, (5), pp. 234-241. 53. Sink, D. S., & Tuttle, T. C. (1989). Planning and Measurement in Your Organization of the Future. Industrial Engineering and Management. 54. Slack, N., Chambers, S., & Johnston, R. (2010). Operations Management. Pearson education. Tangen, S. (2002). Understanding the Concept of Productivity. In Proceedings of the 7th Asia-Pacific Industrial Engineering and Management Systems Conference, Taipei, pp. 18-20. 55. Thakre, A. R., Jolhe, D. A., & Gawande, A. C. (2009). Minimization of Engine Assembly Time by Elimination of Unproductive Activities through 'MOST'. In Emerging Trends in Engineering and Technology (ICETET), 2009 2nd International Conference on (pp. 785-789). IEEE. 56. Tuan, S. T., Karim, A. N. M., Kays, H. E., Amin, A. K. M. N., & Hasan, M. H. (2014). Improvement of Workflow and Productivity Through Application of Maynard Operation Sequence Technique (MOST). In Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management, pp. 7-9. 57. Vekariya, A. P., & Kumar, A. (2015). Productivity Improvement of Manufacturing Process of Diesel Engine by Time and Motion Study Method (M.O.S.T. Technique). International Journal of Advance Engineering and Research Development, 2(6), pp. 577–584. 58. Vergeer R, & Kleinknecht A. (2014). Do Labor Market Reforms Reduce Labor Productivity Growth? A Panel Data Analysis Of 20 OECD Countries (1960-2004). International Labor Review 153, pp. 365-393. 59. Womack, J. P., & Jones, D. T. (1997). Lean Thinking—Banish Waste and Create Wealth in Your Corporation. Journal of the Operational Research Society, 48(11), pp. 1148. 60. Yadav, T. K. (2013). Measurement Time Method for Engine Assembly Line with Help of Maynard Operating Sequencing Technique (MOST). International Journal of Innovations in Engineering and Technology (IJIET), 2(2). 61. Zandin, K. B. (2002). MOST Work Measurement Systems (3rd Ed.). CRC Press.

Productivity Improvement Through Work System Design Method For Better Man Power Utilization At Robot Welding Process

Similar Items