Search results

The growth and prosperity of a nation depends upon its ability to innovate technologically and engineering has erupted as a fundamental chauffer of this essence, since last couple of eras. But recent decline in engineering admissions triggers the downfall in skilled labor, which can cause recession in industries or can ultimately lead to economic crisis. This study tries to illustrate the present status of engineering-related education, particularly in India and tends to skim the various parameters that affect the enrollment of students among higher education institutes, directly or indirectly.

A unique approach had been unleashed to tackle the nuisance of low admission among Indian engineering colleges or universities. Factors reviewed from the literature were further prioritized quantitatively after distributing suitable questionnaires among a relevant set of engineering aspirants. The “survey form” used was tactically designed on the basis of response surface methodology (RSM), which analyzed the data captured in Minitab statistical software and deducted logical inferences to optimize the “critical-to-admission” (CTA) factors, applicably.

A case study was successfully executed in a North Indian state to prove the efficacy of proposed methodology as far as downtrend in admission was concerned. This study was a rare blend of questionnaire-based work, where design of experiments principles had been utilized exclusively. It provided significant findings on how to earmark different admission-decisive factors along with their required prioritization.

It can further help the universities and higher education institutes to draft their indispensable professional policies and vision–mission statements, appropriately.

Quantitative studies in the service sector (like higher education) are quite rare to see. The present work is not only providing a roadmap for engineering institutions to boost their admissions in upcoming challenging times but it also acts as a light house for new students as it provides necessary guidelines for shortlisting colleges or universities while seeking admission for higher studies.

The purpose of this paper is to identify the various barriers in the implementation of waste management techniques in manufacturing organizations.

In this study, 121 SMEs of the manufacturing sector have been extensively surveyed, to assess the relative impact of barriers in the waste management technique in a manufacturing organization. Further, analytical hierarchy process (AHP) has been used to identify the most significant barriers.

Major barriers in the implementation of a waste management technique in a manufacturing organization have been identified and their weightage has been calculated through the AHP model.

This study will assist the floor managers in manufacturing organizations to identify the major barriers and to plan accordingly for the adequate implementation of waste management technique.

Manufacturing industry is quite badly hit due to the coronavirus. Manufacturing has been stopped in every country. The present study will provide assistance to the practitioners to recover manufacturing sector from the after-effects of coronavirus.

A thorough review of the recent articles published in the newspaper and web has been done to make a viewpoint on the global industrial impact due to epidemic corona. Reports of WHO, IMF, World Bank, RBI and so forth are also reviewed. Further, Lean Six Sigma has been suggested which can be implemented to recover manufacturing industry from the ill effects of corona.

In present study the problem causd in the manufacturing sector due to corona virus has been identified and a clinical treatment for the same has been proposed by using the tools and techniques of Lean Six Sigma.

The impact of coronavirus has become a huge issue not only for the physical health of human beings but also for the economic health of most of the countries in the world, as it is pushing the world economy toward huge economic depression. Therefore, it becomes the moral responsibility of industrial experts to suggest the tools and techniques to the manufacturing industry for faster recovery.

The purpose of this paper is to examine and evaluate various Lean, Six Sigma and Lean Six Sigma (LSS) models proposed by various researchers, which have been implemented in manufacturing organizations.

The present study has followed three major steps in methodology. In the first step, pooling of various research articles has been done, followed by development of the primary results. At the final step, analysis and development of the LSS model have been performed.

This paper evaluated and examined various models of Lean Manufacturing, Six Sigma and LSS and developed an advanced LSS model that can be deployed in any manufacturing organization with the purpose of scrap reduction.

The findings of this study will assist shop floor managers to implement an LSS model in their organizations, which can effectively reduce the waste and enhance the overall productivity and quality of the manufactured products.