Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process

Additive Manufacturing (AM) is the direct production of finished goods using additive fabrication techniques. AM done in parallel batch production can provide a large advantage in both speed and cost. Currently, the efforts to utilize the AM concept and technology have several problems, particularly...

Full description

Saved in:

Bibliographic Details
Main Author:	Rahim, Siti Lydia
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	T Technology (General) TS Manufactures
Online Access:	http://eprints.utem.edu.my/id/eprint/22408/1/Study%20Of%20The%20Implementation%20Of%20Additive%20Manufacturing%20At%20PROTON%20Using%20Analytic%20Hierarchy%20Process%20-%20Siti%20Lydia%20Rahim%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/22408/2/Study%20Of%20The%20Implementation%20Of%20Additive%20Manufacturing%20At%20PROTON%20Using%20Analytic%20Hierarchy%20Process.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.22408
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) TS Manufactures
spellingShingle	T Technology (General) TS Manufactures Rahim, Siti Lydia Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process
description	Additive Manufacturing (AM) is the direct production of finished goods using additive fabrication techniques. AM done in parallel batch production can provide a large advantage in both speed and cost. Currently, the efforts to utilize the AM concept and technology have several problems, particularly in the Malaysian automotive industry. Such existing problems have discouraged the enhancement of process development of the automotive industry. In providing the solution, by adopting the AM concept, there is potential to expedite the process development of automotive parts and move towards mass customization. These issues have been discovered through the discussion with Malaysian AM experts and also with the Malaysian automotive manufacturer which is PROTON and its vendor. This research presents an overview of the implementation of the AM and the critical decision factors in implementing AM in PROTON. The Analytic Hierarchy Process (AHP) is a theory of decision-making through pairwise comparisons and relies on the judgments of experts to derive priority scales. AHP is used in order to assess the priority scales affecting AM implementation. The four main factors that will affect the implementation were the financial aspect, which is included investment cost and maintenance cost. Technological aspect was the main factor of AM system selection and material. Employee response to change and impact on supply chain were sub-factors of the main of organization aspect, meanwhile design practice aspect was the main factor for impact on product design and operation activities. This research fulfills an identified information need and offers practical help to an organization to promote the acceptance and implementation of AM technology. PROTON and other industries can focus for further development of implementation.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Rahim, Siti Lydia
author_facet	Rahim, Siti Lydia
author_sort	Rahim, Siti Lydia
title	Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process
title_short	Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process
title_full	Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process
title_fullStr	Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process
title_full_unstemmed	Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process
title_sort	study of the implementation of additive manufacturing at proton using analytic hierarchy process
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/22408/1/Study%20Of%20The%20Implementation%20Of%20Additive%20Manufacturing%20At%20PROTON%20Using%20Analytic%20Hierarchy%20Process%20-%20Siti%20Lydia%20Rahim%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/22408/2/Study%20Of%20The%20Implementation%20Of%20Additive%20Manufacturing%20At%20PROTON%20Using%20Analytic%20Hierarchy%20Process.pdf
_version_	1747834019031023616
spelling	my-utem-ep.224082022-03-17T15:07:28Z Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process 2017 Rahim, Siti Lydia T Technology (General) TS Manufactures Additive Manufacturing (AM) is the direct production of finished goods using additive fabrication techniques. AM done in parallel batch production can provide a large advantage in both speed and cost. Currently, the efforts to utilize the AM concept and technology have several problems, particularly in the Malaysian automotive industry. Such existing problems have discouraged the enhancement of process development of the automotive industry. In providing the solution, by adopting the AM concept, there is potential to expedite the process development of automotive parts and move towards mass customization. These issues have been discovered through the discussion with Malaysian AM experts and also with the Malaysian automotive manufacturer which is PROTON and its vendor. This research presents an overview of the implementation of the AM and the critical decision factors in implementing AM in PROTON. The Analytic Hierarchy Process (AHP) is a theory of decision-making through pairwise comparisons and relies on the judgments of experts to derive priority scales. AHP is used in order to assess the priority scales affecting AM implementation. The four main factors that will affect the implementation were the financial aspect, which is included investment cost and maintenance cost. Technological aspect was the main factor of AM system selection and material. Employee response to change and impact on supply chain were sub-factors of the main of organization aspect, meanwhile design practice aspect was the main factor for impact on product design and operation activities. This research fulfills an identified information need and offers practical help to an organization to promote the acceptance and implementation of AM technology. PROTON and other industries can focus for further development of implementation. 2017 Thesis http://eprints.utem.edu.my/id/eprint/22408/ http://eprints.utem.edu.my/id/eprint/22408/1/Study%20Of%20The%20Implementation%20Of%20Additive%20Manufacturing%20At%20PROTON%20Using%20Analytic%20Hierarchy%20Process%20-%20Siti%20Lydia%20Rahim%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/22408/2/Study%20Of%20The%20Implementation%20Of%20Additive%20Manufacturing%20At%20PROTON%20Using%20Analytic%20Hierarchy%20Process.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=107364 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering 1. Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808–819. doi:10.1108/17410380510626204 2. Boonsuk, W., & Frank, M. C. (2009). Automated fixture design for a rapid machining process. Rapid Prototyping Journal, 15(2), 111–125. doi:10.1108/13552540910943414 3. Borille, A., Gomes, J., Meyer, R., & Grote, K. (2010). Applying decision methods to select rapid prototyping technologies. Rapid Prototyping Journal, 16(1), 50–62. doi:10.1108/13552541011011712 4. Bowin, R.B and Harvey, D. (2001). Human Resource Management: An experimental approach (2nd Editio.). Prentice-Hall. 5. Brown, J. D. (2000). What issues affect Likert-scale questionnaires format? Shiken: JALT Testing & Evaluation SIG Newsletter. Retrieved August 20, 2009, from http://www.jalt.org/test/bro_7.htm 6. Cho, I., Lee, K., Choi, W., & Song, Y.-A. (2000). Development of a new sheet deposition type rapid prototyping system. International Journal of Machine Tools and Manufacture, 40(12), 1813–1829. doi:10.1016/S0890-6955(99)00086-3 7. Choi, S. H., & Cheung, H. H. (2008). A versatile virtual prototyping system for rapid product development. Computers in Industry, 59(5), 477–488. doi:10.1016/j.compind.2007.12.003 8. Ding, Y., Lan, H., Hong, J., & Wu, D. (2004). An integrated manufacturing system for rapid tooling based on rapid prototyping. Robotics and Computer-Integrated Manufacturing, 20(4), 281–288. doi:10.1016/j.rcim.2003.10.010 9. Egodawatta, A. K., Harrison, D. K., De Silva, a., & Haritos, G. (2004). Feasibility study on developing productivity and quality improved layered manufacturing method for rapid prototyping/tooling/manufacture. Journal of Materials Processing Technology, 149(1-3), 604–608. doi:10.1016/j.jmatprotec.2004.02.051 10. Eyers, D., & Dotchev, K. (2010). Technology review for mass customisation using rapid manufacturing. Assembly Automation, 30(1), 39–46. doi:10.1108/01445151011016055 11. Gibson, I. (2005). Rapid Prototyping : A Tool for Product Development Native CAD file STL file Pre- process Slicing Build Post- process, 2(6), 785–793. 12. Gliner, J.A. and Morgan, G. . (2000). Research methods in applied settings: An integrated approach to design and analysis. 13. Hague, R. (2003). Feature Design opportunities with rapid manufacturing, 23(4), 346–356. 14. Hailian, Y., & Xiongqing, Y. (2010). Integration of Manufacturing Cost into Structural Optimization of Composite Wings. Chinese Journal of Aeronautics, 23(6), 670–676. doi:10.1016/S1000-9361(09)60269-7 15. Hanumaiah, N., Ravi, B., & Mukherjee, N. P. (2006). Rapid hard tooling process selection using QFD-AHP methodology. Journal of Manufacturing Technology Management, 17(3), 332–350. doi:10.1108/17410380610648290 16. Hong, P., & Jeong, J. (2006). Supply chain management practices of SMEs: from a business growth perspective. Journal of Enterprise Information Management, 19(3), 292–302. doi:10.1108/17410390610658478 17. Ingole, D. S., Kuthe, A. M., Thakare, S. B., & Talankar, A. S. (2009). Rapid prototyping – a technology transfer approach for development of rapid tooling. Rapid Prototyping Journal, 15(4), 280–290. doi:10.1108/13552540910979794 18. Jurrens, K. K. (1999). Standards for the rapid prototyping industry. Rapid Prototyping Journal, 5(4), 169–178. doi:10.1108/13552549910295514 19. Kang, H.-Y., & Lee, A. H. I. (2010). A new supplier performance evaluation model: A case study of integrated circuit (IC) packaging companies. Kybernetes, 39(1), 37–54. doi:10.1108/03684921011021264 20. Khalili, A. M. . (2005). The mediating role of soft and hard total quality management. 21. Manu-, F. D. (1996). Survey A review of rapid prototyping technologies and systems, 26(4), 307–316. 22. Mortara, L., Hughes, J., Ramsundar, P. S., Livesey, F., & Probert, D. R. (2009). Proposed classification scheme for direct writing technologies. Rapid Prototyping Journal, 15(4), 299–309. doi:10.1108/13552540910979811 23. Padhye, N., & Deb, K. (2011). Multi-objective optimisation and multi-criteria decision making in SLS using evolutionary approaches. Rapid Prototyping Journal, 17(6), 458–478. doi:10.1108/13552541111184198 24. Ramanathan, R. (2007). Supplier selection problem: integrating DEA with the approaches of total cost of ownership and AHP. Supply Chain Management: An International Journal, 12(4), 258–261. doi:10.1108/13598540710759772 25. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. doi:10.1504/IJSSCI.2008.017590 26. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29. doi:10.1016/j.ejor.2004.04.028 27. Vinodh, S., Shivraman, K. R., & Viswesh, S. (2012). AHP-based lean concept selection in a manufacturing organization. Journal of Manufacturing Technology Management, 23(1), 124–136. doi:10.1108/17410381211196320 28. Wagner, W.P., Chung, Q. B. and N. (2003). The impact of problem domains and knowledge acquisition techniques: a content analysis of P/OM expert system case study. Expert Systems with Applications. 29. Wohlers, T. (2003). State of the Industry and Technology Update, 1–5. 30. Wohlers, T. (2008). Wohlers Report 2008. 31. Yan, Y., Li, S., Zhang, R., Lin, F., Wu, R., Lu, Q., … Wang, X. (2009). Rapid Prototyping and Manufacturing Technology: Principle, Representative Technics, Applications, and Development Trends. Tsinghua Science & Technology, 14(June), 1–12. doi:10.1016/S1007-0214(09)70059-8 32. Yang, C.-C., & Chen, B.-S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926–941. doi:10.1108/17410380610688241

Study Of The Implementation Of Additive Manufacturing At PROTON Using Analytic Hierarchy Process

Similar Items