The Effectiveness of Lean Warehousing Towards Reducing Waste in Manufacturing Companies Using Siemens Tecnomatix Plant Simulation Software (STPSS)

Ahmad Nur Aizat Ahmad; Md Fauzi Ahmad; Mohd Ali Selimin; Lee Tee Chuan; Mohd Kamarul Irwan Abdul Rahim; Ahmad Zaki Mohmad Amin; Adnan Bakri; Mustaqqim Abdul Rahim

doi:10.58915/aset.v4i2.2686

Authors

Ahmad Nur Aizat Ahmad Universiti Tun Hussein Onn Malaysia
Md Fauzi Ahmad Universiti Tun Hussein Onn Malaysia
Mohd Ali Selimin Universiti Tun Hussein Onn Malaysia
Lee Tee Chuan Universiti Tun Hussein Onn Malaysia
Mohd Kamarul Irwan Abdul Rahim Universiti Utara Malaysia
Ahmad Zaki Mohmad Amin Universiti Malaya
Adnan Bakri Universiti Kuala Lumpur – Malaysian Institute of Industrial Technology
Mustaqqim Abdul Rahim Universiti Malaysia Perlis

DOI:

https://doi.org/10.58915/aset.v4i2.2686

Keywords:

Lean Warehousing, Operational Efficiency, Plant Simulation, Warehouse Management, Waste Reduction

Abstract

Originally developed for Toyota’s assembly line and vehicle manufacturing, lean manufacturing has become a widely adopted approach across various industries. However, most existing research primarily focuses on its application to production lines, often overlooking the unique challenges and opportunities within warehouse operations. Despite the crucial role warehouses play in the supply chain, there is a significant gap in the literature addressing the tailored application of lean methodologies in warehouse settings. This research aims to investigate the impact of implementing lean principles on warehouse processes in manufacturing companies, using Siemens Tecnomatix Plant Simulation Software (STPSS) for analysis. The study also seeks to evaluate the effectiveness of lean manufacturing tools in reducing waste and enhancing operational efficiency. A manufacturing company in Johor serves as the focal point for this research, aiming to guide the company towards lean warehousing. STPSS is employed as the primary method for this research, offering a 3D simulation model to visualize and analyse the proposed improvements. The outcomes of the simulation provide a comprehensive overview of the enhanced process flow layout. This study managed to reduce 30% of production time. These results clearly illustrate the positive impact of the modified layout on overall operations, emphasizing the effectiveness of the implemented changes.

References

[1] Rahmanasari, D., Sutopo, W., & Rohani, J. M. Implementation of Lean Manufacturing Process to Reduce Waste: A Case Study. IOP Conference Series: Materials Science and Engineering, vol 1096, issue 1 (2021) article 012006.

[2] Jamwal, A., Towhidul Islam Nayim, S. M., Shukla, R. K., Agrawal, R., & Gupta, S. Assessment of barriers in lead time improvement: An exploratory study of electronics manufacturing companies in Himachal Pradesh (India). International Journal of Business and Systems Research, vol 15, issue 2 (2021) pp. 182–199.

[3] Kafuku, J. M. Factors for effective implementation of lean manufacturing practice in selected industries in Tanzania. Procedia Manufacturing, vol 33 (2019) pp. 351–358.

[4] Latha, B. M., Raghavendra, N. V., & Ramesh, J. Application of value stream mapping using simulation tool in manufacturing assemble line: A case study. IOP Conference Series: Materials Science and Engineering, vol 1065, issue 1 (2021) article 012002.

[5] Gunaki, P., & Teli, S. N. Productivity Improvement by Value Stream Mapping in Die Casting Industry. Jetir, vol 2, issue 6 (2015) pp. 2049–2064.

[6] Abreu-Ledón, R., Luján-García, D. E., Garrido-Vega, P., & Escobar-Pérez, B. A meta-analytic study of the impact of Lean Production on business performance. International Journal of Production Economics, vol 200 (2018) pp. 83–102.

[7] Hardcopf, R., Liu, G., & Shah, R. Lean production and operational performance: The influence of organizational culture. International Journal of Production Economics, vol 235 (2021) article 108060.

[8] Tecnomatix SOVA Digital. Digital Transformation of Industry Companies (2016).

[9] Behrouzi, F., & Wong, K. Y. Lean performance evaluation of manufacturing systems: A dynamic and innovative approach. Procedia Computer Science, vol 3 (2011) pp. 388–395.

[10] Deshmukh, M., Gangele, A., Gope, D. K., & Dewangan, S. Study and implementation of lean manufacturing strategies: A literature review. Materials Today: Proceedings, vol 62 (2022) pp. 1489–1495.

[11] Frappier, D., Singh, H., Singh, K., & Vardhan, S. A Comprehensive Review of Lean Warehousing Design Methodologies. In: Sachdeva, A. et al. (eds) Recent Advances in Operations Management and Optimization (2024).

[12] Seyyedamiri, N., & Tajrobehkar, L. Social content marketing, social media and product development process effectiveness in high-tech companies. International Journal of Emerging Markets, vol 16, issue 1 (2021) pp. 75–91.

[13] Sujova, A., Marcinekova, K., & Hittmar, S. Sustainable optimization of manufacturing process effectiveness in furniture production. Sustainability, vol 9, issue 6 (2017) pp. 1–15.

[14] Hossain, M. M., & Prybutok, V. R. Theorical Development of Business Performance Management (BPM). Proceedings of the Southwest Decision Sciences Institute (2009) pp. 431–440.

[15] Kikolski, M. Study of Production Scenarios with the Use of Simulation Models. Procedia Engineering, vol 182 (2017) pp. 321–328.

[16] Kikolski, M. Sample measurement of the ISO 22400 standard key performance indicators with the use of simulation models. 2019 IEEE Technology & Engineering Management Conference (TEMSCON) (2019) pp. 1–5.