Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand

Due to increasing competition in the manufacturing sector of haberdashery and handicraft accessories, there is a great need for companies involved in this sector to invest relentlessly in expansion and improvement to meet up the dynamic and growing demand of the customer. Therefore, the worldwide le...

Full description

Saved in:
Bibliographic Details
Main Author: Adeboye, Oluwamayowa Joshua
Format: Thesis
Language:English
English
Published: 2020
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/25590/1/Material%20Flow%20Analysis%20And%20Improvement%20Of%20A%20Manufacturing%20System%20Under%20Stochastic%20Product%20Demand.pdf
http://eprints.utem.edu.my/id/eprint/25590/2/Material%20Flow%20Analysis%20And%20Improvement%20Of%20A%20Manufacturing%20System%20Under%20Stochastic%20Product%20Demand.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utem-ep.25590
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Abdul Rahman, Azrul Azwan

topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
Adeboye, Oluwamayowa Joshua
Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand
description Due to increasing competition in the manufacturing sector of haberdashery and handicraft accessories, there is a great need for companies involved in this sector to invest relentlessly in expansion and improvement to meet up the dynamic and growing demand of the customer. Therefore, the worldwide leading manufacturer and supplier in this sector is thereby forced to analyze its material flow system, factory production layout, and production line. Aimed at improving the quality of their production and efficiency in meeting stochastic demand. The concept of improving material flow is majorly accepted as one of the core challenges facing the manufacturing ·sector in the future. Especially when it has to involve factory expansion and optimization, which. is a fundamental goal for the manufacturing industry. This study is conducted in collaboration with Prym Consumer (M) Sdn. Bhd. The objectives of this project are; To analyze different options of improved layout for the factory expansion then select the best factory layout suitable and efficient to run the manufacturing production thereby meeting stochastic demands and enhancing productivity using a systematic layout planning procedure and simulation-based approach. The proposed alternative factory layout will be developed using the Systematic Layout Procedure (SLP), then simulated and analyzed using the Tecnomatix Plant Simulation Software. By developing the various proposed option layout, the distance, total production time, and throughput of the production process are analyzed and improved in comparison with the existing layout and process. The result therefore of this project was very distinctive its outcome. Option 2 as one of the proposed alternative option layout was found to be more efficient to meet stochastic demands if implemented. Its forklift total distance travelled, total manufacturing and production time, and total throughput rate was more improved which will be able to tackle the problem of Prym Consumer (M) Sdn. Bhd in meeting stochastic demands than the existing and the other option 1 layout.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Adeboye, Oluwamayowa Joshua
author_facet Adeboye, Oluwamayowa Joshua
author_sort Adeboye, Oluwamayowa Joshua
title Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand
title_short Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand
title_full Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand
title_fullStr Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand
title_full_unstemmed Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand
title_sort material flow analysis and improvement of a manufacturing system under stochastic product demand
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty of Manufacturing Engineering
publishDate 2020
url http://eprints.utem.edu.my/id/eprint/25590/1/Material%20Flow%20Analysis%20And%20Improvement%20Of%20A%20Manufacturing%20System%20Under%20Stochastic%20Product%20Demand.pdf
http://eprints.utem.edu.my/id/eprint/25590/2/Material%20Flow%20Analysis%20And%20Improvement%20Of%20A%20Manufacturing%20System%20Under%20Stochastic%20Product%20Demand.pdf
_version_ 1747834144777306112
spelling my-utem-ep.255902022-01-06T14:39:19Z Material Flow Analysis And Improvement Of A Manufacturing System Under Stochastic Product Demand 2020 Adeboye, Oluwamayowa Joshua T Technology (General) TS Manufactures Due to increasing competition in the manufacturing sector of haberdashery and handicraft accessories, there is a great need for companies involved in this sector to invest relentlessly in expansion and improvement to meet up the dynamic and growing demand of the customer. Therefore, the worldwide leading manufacturer and supplier in this sector is thereby forced to analyze its material flow system, factory production layout, and production line. Aimed at improving the quality of their production and efficiency in meeting stochastic demand. The concept of improving material flow is majorly accepted as one of the core challenges facing the manufacturing ·sector in the future. Especially when it has to involve factory expansion and optimization, which. is a fundamental goal for the manufacturing industry. This study is conducted in collaboration with Prym Consumer (M) Sdn. Bhd. The objectives of this project are; To analyze different options of improved layout for the factory expansion then select the best factory layout suitable and efficient to run the manufacturing production thereby meeting stochastic demands and enhancing productivity using a systematic layout planning procedure and simulation-based approach. The proposed alternative factory layout will be developed using the Systematic Layout Procedure (SLP), then simulated and analyzed using the Tecnomatix Plant Simulation Software. By developing the various proposed option layout, the distance, total production time, and throughput of the production process are analyzed and improved in comparison with the existing layout and process. The result therefore of this project was very distinctive its outcome. Option 2 as one of the proposed alternative option layout was found to be more efficient to meet stochastic demands if implemented. Its forklift total distance travelled, total manufacturing and production time, and total throughput rate was more improved which will be able to tackle the problem of Prym Consumer (M) Sdn. Bhd in meeting stochastic demands than the existing and the other option 1 layout. 2020 Thesis http://eprints.utem.edu.my/id/eprint/25590/ http://eprints.utem.edu.my/id/eprint/25590/1/Material%20Flow%20Analysis%20And%20Improvement%20Of%20A%20Manufacturing%20System%20Under%20Stochastic%20Product%20Demand.pdf text en public http://eprints.utem.edu.my/id/eprint/25590/2/Material%20Flow%20Analysis%20And%20Improvement%20Of%20A%20Manufacturing%20System%20Under%20Stochastic%20Product%20Demand.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119127 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering Abdul Rahman, Azrul Azwan 1. Radziwon, A. Bilberg, M. Bogers, and E. S. Madsen, "The smart factory: Exploring adaptive and flexible manufacturing solutions,” Procedia Eng., vol. 69, pp. l 184-1190, 2014 2. Abebe, T., 2020. Introduction Of Simulation Process , [ online] Academia. edu. Available at: <https://www .academia.edu/ 4991660/ Introduction _of_Simulation_Process> [ Accessed 22 June 2020], 3. Ali Naqvi, S., Fahad, M., Atir, M., Zubair, M. and Shehzad , M . , (2016) ‘Productivity improvement of a manufacturing facility using systematic layout planning facility using systematic layout planning', Cogent Engineering. Cogent, 177( 1 ). DOI: 10.1080/23311916.2016. 1207296. 4. Azadivar, F., & Wang, J . (2000). Facility layout optimization using simulation and genetic algorithms. International Journal of Production Research , 38( 17), 4369^4383. 5. Brunner , P. H. and Rechberger, H. ( 2016) Practical handbook of material flow analysis , Practical Handbook of Material Flow Analysis . DOI : 10.1007/bf02979426. Dex. siemens.com. 2020. Plant Simulation, [online] Available at: < https://www.dex.siemens.com/plm/tecnomatix/plant-simulation> [ Accessed 19 May 2020], 6. Dormer.ie. 2020. Straight Pins | 5,000 Per Box At Low Prices! | Donner.Ie. [online] Available at : < https:/ /www.donner. ie/shop/straight - pins/> [Accessed 16 June 2020 ]. Eng, I . and Kassir, M . ( 2015) ‘Chapter Four Layout planning’ , pp. 1-21. 7. Ernst , W. (2010 ) ‘Course Book’, Computer, pp. 1-15. DOL10.1109/CloudTech.2015.7336967 FlexSim. ( 2019 ) . Factory Simulation | FlexSim. [online] Available at : https://www.flexsim. corn/factory-simulation/ [Accessed 25 Dec. 2019] , 8. Grassie, I., 2010. Facility Planning: An approach to optimise a distribution network at Clover SA. 9. Grajo, E . S., 1995. Strategic Layout Planning and Simulation for Lean Manufacturing a Layout Optimization Tutorial. In Proceedings of the 27th Winter Simulation Conference, IEEE Computer Society , pp. 510-514. 10. Heragu, S. S. (1997). Facilities design. Boston: BWS. Heragu, S. S., & Kusiak, A. (1988 ). Machine layout problem in flexible manufacturing systems. Operations Research, 36( 2 ), 258-268. 11. Helber, S., Bohme, D., Oucherif, F., Lageshausen, S. and Kasper, S., 2014. A Hierarchical Facility Layout Planning Approach for Large and Complex Hospitals. Flexible Sendees and Manufacturing Journal, 28, pp. 5-29. 12. Hossain, R., Rasel , K . and Talapatra, S. (2014 ) ‘Increasing Productivity through Facility Layout Improvementusing Systematic Layout Planning Pattern Theory’ , 14( 7 ) . 13. Hosseini, S. S., Mirzapour, S. A. and Wong, K. Y. (2013) ‘Improving multi - floor facility layout problems using systematic layout planning and simulation’ , Communications in Computer and Information Science, 409, pp. 58-69. DOI: 10.1007/978-3-319-03783-7 6. 14. International, P. and Layout, A. E. (1992) ‘Chapter 7 Facility Layout '. Jain , M . S. and Yadav, T. K. (2017 ) ‘Systematic Layout Planning : A Review of Improvement in Approach to Pulse Processing Mills', International Research Journal of Engineering and Technology(IRJET) , 4(5), pp. 503-507. 15. Jerry, B. (1998). Handbook of Simulation: Principles, methodology, advances, applications and practice. Canada: John Wiley & Sons. 16. Lin, Q. L., Hiu, H . C ., Wang, D . J ., Liu, L., 2015. Integrating Systematic Layout Planning with Fuzzy Constraint Theory to Design and Optimize the Facility Layout for Operating Theatre in Hospitals. Journal of Intelligent Manufacturing , 26, pp. 87-95. 17. Low, X. F. and Wong, K. Y. ( 2017) ‘Redesign and simulation of facility layout in a manufacturing company’, Jurnal Mekanikal , 40( 2), pp. 53-60. 18. Malkin, S., 2013. Grinding Processes. Encyclopedia of Tribology, pp.1573- 1580. 19. Marous, S., 2020. What Is Bar Peeling And Why Is It Important To Metalworking Processes?, [online] SAAR USA. Available at: <https ://saarusa . com/ what - is-bar-peeling/> [ Accessed 19 June 2020]. 20. Mor, A. (2016) ‘A review of procedural approaches available for handling the layout problems’, International Journal of Emerging Trends in Research , 1 (5), pp. 6-11. Nagi, A. & Altarazi, S., 2017. Integration of Value Stream Map and Strategic Layout Planning into the DMAIC Approach to Improve Carpeting Process. Journal of Industrial Engineering and Management. 21. Nahmens, I. and Mullens, M., 2009, "The impact of product choice on lean homebuilding", Construction Innovation , 9( 1 ) , pp.84- 100. 22. Ojaghi, Y ., Khademi, A., Yusof, N. M., Renani, N. G ., Syed Hassan, S. A. H ., 2015. Production Layout Optimization for Small and Medium Scale Food Industry. Procedia CIRP, 26 , pp. 247-251 . 23. Oyekan, J., Hutabarat, W., Christopher, T., Tiwari, A., Prajapat, N ., Nadir, I., Gan, X.P, & Waller, T. ( 2015). A 3 D immersive Discrete Event Simulator for enabling prototyping of factory layouts. The Fourth International Conference on Through-life Engineering Sendees , 17-20 July 2015, Bedfordshire, United Kingdom. 24. Salleh, Nazahiah (2018) Layout Improvement At Small And Medium Industry: A Case Study. Masters thesis, Universiti Teknikal Malaysia Melaka. 25. Shaikh, S. et al. ( 2017) ‘Optimization of plant layout ' , ( January 2017). Available at: http://aiktcdspace.org:8080/jspui/ bitstream/ l 23456789/2000/ 1 /aiktcDspace2000.1 . pdP/oOA http://aiktcdspace.org:8080/jspui/ handle/ l 23456789/2000 . 26. Shayan, E., & Chittilappilly, A. (2004). Genetic algorithm for facilities layout problems based on slicing tree structure. International Journal of Production Research, 42(19), 4055- 4067. 27. Tako, A. and Robinson, S., 2017. Comparing Discrete-Event Simulation and System Dynamics: Users ’ Perceptions. System Dynamics , pp.261 -299. 28. Talumis. (2019). What is simulation | Simulation Software Explained , [online] Available at: https://www.talumis.com/what -is-simulation/ [Accessed 26 Nov. 2019], 29. Suhardini, D., Septiani, W. and Fauziah, S. , 2017. Design and Simulation Plant Layout Using Systematic Layout Planning. IOP Conference Series: Materials Science and Engineering, 277, p.012051.TheFreeDictionary.com. (2019). factory layout, [online] Available at: https://financial -dictionary. theffeedictionary.com/factory+layout [ Accessed 25 Nov. 2019] , The Outline. 2020. How Many Solidarity Safety Pins Have Been Sold On Etsy?. [online] Available at: <https://theoutline.com/ post /996/how - many- solidarity-safety-pins- have-beensold-on-etsy?zd= l &zi=gynsqsey> [ Accessed 15 June 2020] , 30. Tompkins, J. A., White, J.A . (1984). Facilities Planning. John Wiley & Sons, Inc. Tutorial, P. and Simulation, C. (2019). Chapter 1 : Introduction to Simulation | Plant Simulation , [online] Plant Simulation. Available at : https://www.plant - simulation.de/schulungen/tutorial/tutorial-chapterl / [Accessed 12 Dec. 2019], 31. Weng, S. et al. (2019) ‘Improving the Efficiency of an Emergency Department Based on Activity- Relationship Diagram and Radio Frequency Identification Technology’.Your Article Library. (2019). Industrial Plant Layout : Meaning, Definition, Need and Importance, [online] Available at: http://www.yourarticlelibrary.com/industries/plant - layout / industrial-plant - layout -meaning-definition- need -and-importance/34609 [Accessed 8 Dec. 2019].