Overall labour efficiency improvement using Maynard operational sequence technique at SME aerospace manufacturing company

Ismail, Siti Khadijah (2023) Overall labour efficiency improvement using Maynard operational sequence technique at SME aerospace manufacturing company. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Overall labour efficiency improvement using Maynard operational sequence technique at SME aerospace manufacturing company.pdf - Submitted Version Download (446kB)
	Text (Full text) Overall labour efficiency improvement using Maynard operational sequence technique at SME aerospace manufacturing company.pdf - Submitted Version Restricted to Registered users only until January 2028. Download (2MB)

Abstract

In the era of Industrial Revolution 4.0, the current levels of competition in the manufacturing industry make the organizations continue to meet the customer demand but due to the problems like process delays caused by labor, it has become difficult in meeting customer demand on time that will affect the productivity of an organization. This study used a tool quality management which is DMAIC (Define-Measure-Analyze-Improve-Control) to have clearer detail on the process that will lead to a reduction of defects and cycle time as well as improve the capability of processes. To boost productivity in Aerospace Manufacturing Industry (SME Aerospace Sdn Bhd), a thorough time study research was conducted to ensure the productivity is enhanced since there is a lack of exposure to other alternatives of time study measurement methods to be applied other than the conventional stopwatch study. The research therefore also aims to improve productivity by analyzing the standard time and analyzing the labor utilization in each process at the Assembly 6C Overwing Beam Section workstation using Maynard Operational Sequence Technique (MOST). Indirectly, the impact of MOST time study over the performance in the assembly line will automatically be known and the improvement is easily proposed due to the Non-Value Added (NVA) activities detected based on the highest standard time in a process. Based on throughput time analysis, it involves monitoring and standardization of cycle time for all processes using MOST and the huge differences between MOST data and SMEA data are proven. Work is further extended to identifying labour utilization based on the compliance of workers towards their work and whether their action influence production or otherwise. Due to the analysis that has been done, the focus then on the bottleneck process which is at Stage 3 (Secure IB/OB Brackets) that contributes to the highest cycle time. In stage 3 (Secure IB/OB Brackets), the cycle time is 0.38 hours lower than SMEA data which is 0.93 hours which shows the huge gap. Furthermore, the utilization of labor in stage 3 (Secure IB/OB Brackets) should approximately achieve 82% which is known as the target of labor utilization in this study. To improve the throughput time at Stage 3 (Secure IB/OB Brackets) process, the Fishbone Diagram and Why-Why Analysis were implemented. Through both methods, the root cause towards the huge gap in cycle time between SMEA data and MOST data is detected. In summary, the optimum labour utilization at the bottleneck process is achieved by 81.12% and throughput time increases by 33% due to a great reduction of cycle time. The control action using certain tools will be made towards the proposed improvement to ensure long-term organizational effectiveness and sustainability. The main contribution this article makes is that it provides SMEA organization with a user-friendly technique (MOST) to improve organizational effectiveness and productivity with minimal capital expenditures.

Actions (login required)

View Item