Applying Lean Tools to Optimize Resource Utilization in a Mechanical Engineering Company
DOI:
https://doi.org/10.24425/mper.2025.156150Abstract
This study applied Lean tools without reducing staff, focusing instead on continuous improvement through enhanced machine efficiency, reduced waiting time, and optimized labor allocation. By using tools such as Value Stream Mapping, Balanced Transfer, Plant Simulation, and the E-Kanban system, the study reduced production time from 122.72 to 88.21 minutes and significantly improved overall productivity. Besides the workstation performance was improved, this study also addressed system-wide impacts, enabling effective reuse of labor when customer demand increases. The results show that a flexible application Lean tools is more effective than a rigid one and offers considerable potential for innovation in other manufacturers environments. However, the limitation of the study is that improvements have so far been implemented only within the production department, without involving other functional areas. In future research, we extend the scope of improvement to the entire enterprise and adapt this human-centered model to other manufacturing firms to promote sustainable growth without workforce reduction.References
Araibi, A.S., Ishak, M.S.A., & Shadhar, M.H. (2023). Improvement of Value Stream Mapping by Integrating a Monte Carlo Simulation: A Conceptual Model, Management and Production Engineering Review, 14(1), 72–86. DOI: 10.24425/mper.2023.145367
Boehlje, M. (1999). Structural changes in the agricultural industries: How do we measure, analyze and understand them? American Journal of Agricultural Economics, 81(5), 1028–1041. DOI: 10.2307/1244080
Brown, L. (1997). Competitive Marketing, Nelson, Melbourne.
Cooper, R., & Kaplan, R.S. (1998). Cost and Effect, Harvard Business School Press, Boston.
Ebrahimi, H., Kianfar, K., & Bijari, M. (2021). Scheduling a cellular manufacturing system based on price elasticity of demand and time-dependent energy prices, Computers & Industrial Engineering, 159, 107460. DOI: 10.1016/j.cie.2021.107460
El-Namrouty, K.A., & AbuShaaban, M.S. (2013). Seven wastes elimination targeted by lean manufacturing case study “Gaza Strip manufacturing firms”, International Journal of Economics, Finance and Management Sciences, 1(2), 68–80. DOI: 10.11648/j.ijefm.20130102.12
Gereffi, G. (1994). The organisation of buyer-driven global commodity chains: How US retailers shape overseas production networks, In Gereffi G., & Korseniewicz M. (Eds.), Commodity Chains and Global Capitalism, Praeger, Westport, pp. 95–122. DOI: 10.1017/9781108559423.003
Goyal, A., Vaish, D.C., Agrawal, R., Choudhary, S., & Nayak, R. (2022). Sustainable manufacturing through systematic reduction in cycle time, Sustainability, 14(24), 16473. DOI: 10.3390/su142416473
Hellin, J., & Meijer, M. (2006). Guidelines for Value Chain Analysis, Food and Agriculture Organization (FAO), UN Agricultural Development Economics Division.
Kianfar, K. (2019). Maximizing profit in a supply chain by considering advertising and price elasticity of demand, Computers & Industrial Engineering, 135, 265–274. DOI: 10.1016/j.cie.2019.06.007
Li, Y., & Boucher, T.O. (2017). Assembly line balancing problem with task learning and dynamic task reassignment, International Journal of Advanced Manufacturing Technology, 88, 3089–3097. DOI: 10.1007/s00170- 016-9014-5
Lestyánszka Škůrková, K., Fidlerová, H., Niciejewska, M., & Idzikowski, A. (2023). Quality improvement of the forging process using Pareto analysis and 8D methodology in automotive manufacturing: A case study, Standards, 3(1), 84–94. DOI: 10.3390/standards3010008
Liker, J.K. (2004). The Toyota Way, McGraw-Hill, New York.
Liker J.K., & Meier D. (2006), The Toyota Way Fieldbook: A Practical Guide for Implementing Toyota’s 4Ps, McGraw-Hill, New York.
Majava, J., & Ojanperä, T. (2017). Lean production development in SMEs: A case study, Management and Production Engineering Review, 8(2), 41–48. DOI: 10.1515/mper-2017-0016
Mengist, M. (2019). Line balancing techniques for productivity improvement, International Journal of Mechanical and Industrial Technology, 7(1), 89–104. Available at: www.researchpublish.com
Montgomery, D.C. (2020). Introduction to Statistical Quality Control, John Wiley & Sons.
Monden, Y. (2012). Toyota Production System: An Integrated Approach to Just-in-Time (4th ed.), CRC Press, Boca Raton. DOI: 10.1201/b11731
Nallusamy, S., & Saravanan, V. (2016). Enhancement of overall output in a small scale industry through VSM, line balancing and work standardization, International Journal of Engineering Research in Africa, 26, 176-183. DOI: 10.4028/www.scientific.net/JERA.26.176
Niazi, A., Dai, J.S., Balabani, S., & Seneviratne, L. (2006). Product cost estimation: Technique classification and methodology review, Journal of Manufacturing Science and Engineering, 128(2), 563–575. DOI: 10.1115/1.2137750
Otieno, M., Muchiri, P., & Pintelon, L. (2020). A decision support framework for assembly line balancing and worker assignment in the Industry 4.0 context, Procedia Manufacturing, 51, 1357–1364. DOI: 10.1016/j.promfg.2020.10.189
Porter, M. (1985). Competitive Advantage, The Free Press, New York.
Poswa, F., Adenuga, O.T., & Mpofu, K. (2022). Productivity improvement using simulated value stream mapping: A case study of the truck manufacturing industry, Processes, 10(9), 1884. DOI: 10.3390/pr10091884
Santos, B.P., Enrique, D.V., Maciel, V.B.P., Lima, T.M., Charrua-Santos, F., & Walczak, R. (2021). The synergic relationship between Industry 4.0 and Lean Management: Best practices from the literature, Management and Production Engineering Review, 12(1), 94–107. DOI: 10.24425/mper.2021.136875
Shah, R., & Ward, P.T. (2007). Defining and developing measures of lean production, Journal of Operations Management, 25(4), 785–805. DOI: 10.1016/j.jom.2007.01.019
Tripathi, V., Chattopadhyaya, S., Bhadauria, A., Sharma, S., Li C., Pimenov, D.Y., Giasin, K., Singh, S., & Gautam, G.D. (2021). An agile system to enhance productivity through a modified value stream mapping approach in Industry 4.0: A novel approach, Sustainability, 13(21), 11997. DOI: 10.3390/su132111997
Van Landeghem, H., & Cottyn, J. (2022). Extending value stream mapping for lean production planning and control, Management and Production Engineering Review, 13(3), 75–82. DOI: 10.24425/mper.2022.142384
Wang, F.-K., Rahardjo, B., & Rovira, P.R. (2022). Lean Six Sigma with value stream mapping in Industry 4.0 for human-centered workstation design, Sustainability, 14(17), 11020. DOI: 10.3390/su141711020
Żegleń, P., Kluczek, A., & Matusikova, D. (2022). Lean staff management in the light of the COVID-19: Exploratory factors’ analysis – Case studies for service companies, Management and Production Engineering Review, 13(3), 3–19. DOI: 10.24425/mper.2022.142378