Version 1
: Received: 16 August 2022 / Approved: 17 August 2022 / Online: 17 August 2022 (08:19:22 CEST)
How to cite:
Poswa, F.; Mpofu, K.; Adenuga, O.T. Productivity Improvement using Simulated Value Stream Mapping: A Case Study of the Truck Manufacturing Industry. Preprints2022, 2022080306. https://doi.org/10.20944/preprints202208.0306.v1
Poswa, F.; Mpofu, K.; Adenuga, O.T. Productivity Improvement using Simulated Value Stream Mapping: A Case Study of the Truck Manufacturing Industry. Preprints 2022, 2022080306. https://doi.org/10.20944/preprints202208.0306.v1
Poswa, F.; Mpofu, K.; Adenuga, O.T. Productivity Improvement using Simulated Value Stream Mapping: A Case Study of the Truck Manufacturing Industry. Preprints2022, 2022080306. https://doi.org/10.20944/preprints202208.0306.v1
APA Style
Poswa, F., Mpofu, K., & Adenuga, O.T. (2022). Productivity Improvement using Simulated Value Stream Mapping: A Case Study of the Truck Manufacturing Industry. Preprints. https://doi.org/10.20944/preprints202208.0306.v1
Chicago/Turabian Style
Poswa, F., Khumbulani Mpofu and Olukorede Tijani Adenuga. 2022 "Productivity Improvement using Simulated Value Stream Mapping: A Case Study of the Truck Manufacturing Industry" Preprints. https://doi.org/10.20944/preprints202208.0306.v1
Abstract
The accumulation of process waste in the production line causes fluctuations, bottlenecks, and increased inventory in workstations disrupting process flow. In this paper, the aim is the use a simulated value stream mapping (SVSM) as a lean assessment tool for decision-making in the continuous improvement process to influence and provide consideration and consistency on productivity improvement in the production system. The proposed methodology applied discrete event simulation for production process operations improvement to eliminate non-value adding times and provides good quality products at the lowest cost and highest efficiency. The results are the analysis of the current state of the production system in a South African truck manufacturing industry small and medium enterprise (SMEs) as a potential solution for the production system future state. The identified non-value adding times in the 6 most critical workstations was eliminated by SVSM which resulted in a productivity improvement of 4%, most importantly bringing the productivity to 95% and total cycle time improvement to 451 for small units and 466 for large units. The results proposed combined VSM and Simulation techniques which enhance the LEAN application by DES to increase productivity and performance improvement to remain competitive in the global economy.
Keywords
simulated value stream mapping; small and medium enterprise
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
