Application of Fuzzy TOPSIS MADM approach in ranking &amp; underlining the problems of plywood industry in India

Mittal, Kapil; Tewari, P. C.; Khanduja, Dinesh; Kaushik, Prabhakar

doi:10.1080/23311916.2016.1155839

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…This can be achieved by inputting the continuous effort in understanding the process and managing the system associated with the process (Kaushik & Mittal, 2017). In order to achieve customer satisfaction researchers and industrialists around the world have worked over various tools and techniques like Total Quality Management (TQM), Quality circles (Mittal and Prajapati 2014), APQP Kaushik et al, 2011), Shainin system , Quality Awards, Fuzzy logic (Mittal et al, 2016a), Total Preventive Maintenance (TPM), Business Process Reengineering (Mittal et al, 2016b), Lean and Six Sigma Kaushik et al, 2016). One of the most popular techniques named above is Six-Sigma.…”

Section: Introductionmentioning

confidence: 99%

Statistics for industries: A sophisticated approach

Kaushik¹,

Dahiya²,

Mittal³

2017

10.5267/j.msl

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Six-Sigma is a statistical attitude -not judgment or sentiment. It is about statistical facts that assist the authorities to spotlight their concentration on the progression arrangement rather than on individuals and get assessments based on reality and unbiased information but not on impracticable prospects. Six-Sigma is an integrated approach to involve everything within the organization for reducing defects and variation. It is a combination of all efforts in an association for quality enhancement, quality progress and quality protection to reach the optimum clients satisfaction. The primary objective of Six-Sigma methodology is always directed towards the perfection at any level whether financial or non-financial. Putting efforts rightly and maintaining consistency are the basic concepts behind successful implementation of Six-Sigma. The present work provides a way to examine the Six-Sigma practice in a manufacturing firm with the use of statistical thinking in getting high quality products by reducing the variation and ultimately increasing profit.

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Section: Introductionmentioning

confidence: 99%

Statistics for industries: A sophisticated approach

Kaushik¹,

Dahiya²,

Mittal³

2017

10.5267/j.msl

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“…Classroom training (theoretical) can prepare employees to yield significant benefits to the workforce by identifying excellent and substandard quality material delivered. On the other hand, inadequate training in this area may have a negative impact on industrial production (Mittal et al, 2016). Utilization of construction equipment and tools also has an impact on productivity.…”

Section: Discussionmentioning

confidence: 99%

The influence of assessment on training to improve productivity of construction companies

Mtotywa

Mdlalose

2023

Problems and Perspectives in Management

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The study investigated the influence of assessment on training to improve productivity of construction companies. This is important for the construction industry, which plays a critical role in a country’s economic development in a continuously shifting business world, entrenching globalization, and a technology-driven economy. The investigation employed a cross-sectional descriptive quantitative design after receiving 234 responses from builders, artisans, general workers, and technicians of construction sites in Gauteng Province, South Africa. Empirical data were analyzed using STATA 14 assisted by the ‘medsem’ package. The results of the exploratory and confirmatory factor analysis confirmed that rework in operations (rework), optimum utilization of equipment (utilization), use of modern equipment (modernization), and identification of defects in raw material (defects) could collectively determine productivity. The AVE value was higher than 0.5 (AVE = 0.523-0.665), with all factors reliable (CR = 0.761-0.869) and the heterotrait-monotrait criterion (HTMT) ≤ 0.85 (HTMT = 0.162-0.652). Assessment has a mediation effect on theoretical and on-the-job training with productivity measures (utilization, modernization, and defects). For on-the-job training, assessment showed a complete mediation effect on modernization (effect size of 98.8% and RID = 84.6). In contrast, for theoretical training, defects showed the highest mediation (effect size = 64.3% and RID = 1.804). The implication is that well-trained employees are critical in construction sites as they can improve productivity.

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“…It certainly helps the administration and government to take the necessary measures before any calamity happens. More work on such technique is proposed in concerned area using classical techniques like fuzzy logic Mittal et al [6], multiple attribute decision making MADM Mittal et al [7], Six-sigma Kaushik et al [8] etc.…”

Section: Cmentioning

confidence: 99%