Evidence map›Paper›PMID 41430417›Full record

ArticleScientific reports2025

Enhancement in production efficiency using DMAIC methodology of six sigma.

Dharmpal Deepak, Harnam Singh Farwaha, Fahad M Alqahtani, Sulakshna Dwivedi, Rajinder Pal Singh, Prem Singh, Nishant Ranjan, Amresh Kumar

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Dharmpal DeepakDepartment of Mechanical Engineering, Punjabi University, Patiala, Punjab, India.
Harnam Singh FarwahaDepartment of Mechanical & Production Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India, 141006.
Fahad M AlqahtaniDepartment of Industrial Engineering, College of Engineering, King Saud University, P. O. Box 800, 11421, Riyadh, Saudi Arabia. afahad@ksu.edu.sa.
Sulakshna DwivediSchool of Business Management and Commerce, Jagat Guru Nanak Dev Punjab State Open University, Patiala, Punjab, India.
Rajinder Pal SinghDepartment of Mechanical & Production Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India, 141006.
Prem SinghDepartment of Mechanical & Production Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India, 141006.
Nishant RanjanMarwadi University Research Center, Faculty of Engineering & Technology, Department of Mechanical Engineering, Marwadi University, Rajkot, Gujarat, 360003, India.
Amresh KumarMechanical Engineering Department, Birla Institute of Technology and Science, Pilani, Rajasthan, India. p20170413@pilani.bits-pilani.ac.in.

Funding

King Saud University, Riyadh, Saudi Arabia ORF-2025-803
6 · The paper itself

Abstract

The business concern is primarily interested in the industrial system's production efficiency from an economic standpoint. The primary sources of inefficiency and challenges stem from the decisions made about production operations, particularly in cases where machinery plays a significant role in manufacturing. The manufacturing industry is experiencing increased worldwide rivalry, which has led to a constant increase in customer demand for high-quality and varied products. As a result, improving performance and productivity is now required to strengthen the process's quality. This manuscript uses the Define, Measure, Analyse, Improve, and Control (DMAIC) technique to reduce crankshaft defects and increase quality in the manufacturing business. Quality practices from the Six Sigma DMAIC methodology can be effectively applied to produce high production rates, lower losses, and less waste. Highway Industries Limited has a forging shop that fabricates a variety of crankshaft types, including P-19, KZNA, and M2W. Crankshafts have intricate forms, and a variety of forging flaws, including pitting, unfilling, undersizing, bending, and flash defects, can occur throughout the manufacturing process. The results show that the overall rejection rate of the M2W crankshaft dramatically drops to 1.88% with the deployment of the Six Sigma technique, as opposed to 3.04% before implementation. This study aims to evaluate the effectiveness of the Six Sigma methodology by using the DMAIC cycle methodically. Therefore, the recommended approach saves money, which in turn helps to increase the industry's total economics.

Indexed as

DMAICForgingImprovementProduction efficiencyRejection rateSix sigma

Identifiers

PMID41430417
PMCPMC12749729

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.