Araştırma Makalesi

Improving Lead Time through Lean Manufacturing

Cilt: 7 Sayı: 5 15 Eylül 2024
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Improving Lead Time through Lean Manufacturing

Öz

Lean manufacturing is a well-established methodology aimed at optimizing production by eliminating waste, enabling industries to thrive in a globally competitive environment. This paper presents a case study of a well-known automotive manufacturing industry focusing on the axle process. This article demonstrates how the Value Stream Mapping (VSM) methodology was used in the axle process to reduce lead time by producing quality products with a reduction in non-value-added activities. The current state of the axle process was mapped using industry data from the past six months. Significant improvements were realized following the successful implementation of VSM, including a reduction in the lead time from 89.50 hours to 50.55 hours. The new state map was also created after implementing the improvements. The results illustrated that the VSM increased the effectiveness of the axle process by 56.48%.

Anahtar Kelimeler

Kaynakça

  1. Atigre PS, Shah AP, Patil VR. 2017. Application of 8D methodology for minimizing the defects in manufacturing process: A case study. IJERT, 6(09): 123-126.
  2. Badhotiya GK, Chauhan AS, Yadav A, Kushwaha P, Singh Y. 2023. Application of value stream mapping for waste elimination: A case of construction equipment industry. In AIP Conference Proceedings, August 6-7, Dehradun, India, pp: 21.
  3. Banica CF, Belu N. 2019. Application of 8D methodology an effective problem solving tool in automotive industry. Sci Bull Automotive Series, XXV(29): 1-7.
  4. Belokar RM, Kumar V, Kharb SS. 2012. An application of value stream mapping in automotive industry: A case study. IJITEE, 1(2): 152-157.
  5. Deshkar A, Kamle S, Giri J, Korde V. 2018. Design and evaluation of a lean manufacturing framework using value stream mapping (VSM) for a plastic bag manufacturing unit. Mater Today Proc, 5(2): 7668-7677.
  6. Duggan KJ. 2002. Creating mixed model in value streams. Productivity Press, New York, US.
  7. Guleria P, Pathania A, Sharma S, Sá JC. 2022. Lean six-sigma implementation in an automobile axle manufacturing industry: A case study. Mater Today Proc, 50: 1739-1746.
  8. Jimenez G, Santos G, Sá JC, Ricardo S, Pulido J, Pizarro A, Hernández H. 2019. Improvement of productivity and quality in the value chain through lean manufacturing – a case study. Procedia Manuf, 41: 882-889.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Endüstri Mühendisliği

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

12 Ağustos 2024

Yayımlanma Tarihi

15 Eylül 2024

Gönderilme Tarihi

24 Mayıs 2024

Kabul Tarihi

24 Temmuz 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 7 Sayı: 5

Kaynak Göster

APA
Taş, Ü. (2024). Improving Lead Time through Lean Manufacturing. Black Sea Journal of Engineering and Science, 7(5), 849-853. https://doi.org/10.34248/bsengineering.1489166
AMA
1.Taş Ü. Improving Lead Time through Lean Manufacturing. BSJ Eng. Sci. 2024;7(5):849-853. doi:10.34248/bsengineering.1489166
Chicago
Taş, Ülge. 2024. “Improving Lead Time through Lean Manufacturing”. Black Sea Journal of Engineering and Science 7 (5): 849-53. https://doi.org/10.34248/bsengineering.1489166.
EndNote
Taş Ü (01 Eylül 2024) Improving Lead Time through Lean Manufacturing. Black Sea Journal of Engineering and Science 7 5 849–853.
IEEE
[1]Ü. Taş, “Improving Lead Time through Lean Manufacturing”, BSJ Eng. Sci., c. 7, sy 5, ss. 849–853, Eyl. 2024, doi: 10.34248/bsengineering.1489166.
ISNAD
Taş, Ülge. “Improving Lead Time through Lean Manufacturing”. Black Sea Journal of Engineering and Science 7/5 (01 Eylül 2024): 849-853. https://doi.org/10.34248/bsengineering.1489166.
JAMA
1.Taş Ü. Improving Lead Time through Lean Manufacturing. BSJ Eng. Sci. 2024;7:849–853.
MLA
Taş, Ülge. “Improving Lead Time through Lean Manufacturing”. Black Sea Journal of Engineering and Science, c. 7, sy 5, Eylül 2024, ss. 849-53, doi:10.34248/bsengineering.1489166.
Vancouver
1.Ülge Taş. Improving Lead Time through Lean Manufacturing. BSJ Eng. Sci. 01 Eylül 2024;7(5):849-53. doi:10.34248/bsengineering.1489166

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