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Article
Publication date: 4 August 2020

Bikram Jit Singh, Harsimran Singh Sodhi and Rippin

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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

Originality/value

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.

Details

Journal of Applied Research in Higher Education, vol. 13 no. 3
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 25 October 2022

Narinder Kumar, Bikram Jit Singh and Pravin Khope

Inventory models are quantitative ways of calculating low-cost operating systems. These models can be either deterministic or stochastic. A deterministic model hypothesizes…

Abstract

Purpose

Inventory models are quantitative ways of calculating low-cost operating systems. These models can be either deterministic or stochastic. A deterministic model hypothesizes variable quantities like demand and lead time, as certain. However, various types of research have revealed that the value of demand and lead time is still ambiguous and vary unanimously. The main purpose of this research piece is to reduce the uncertainties in such a dynamic environment of Industry 4.0.

Design/methodology/approach

The current study tackles the multiperiod single-item inventory lot-size problem with varying demands. The three lot sizing policies – Lot for Lot, Silver–Meal heuristic and Wagner–Whitin algorithm – are reviewed and analyzed. The suggested machine learning (ML)–based technique implies the criteria, when and which of these inventory models (with varying demands and safety stock) are best fit (or suitable) for economical production.

Findings

When demand surpasses a predicted value, variance in demand comes into the picture. So the current work considers these things and formulates the proper lot size, which can fix this dynamic situation. To deduce sufficient lot size, all three considered stochastic models are explored exclusively, as per respective protocols, and have been analyzed collectively through suitable regression analysis. Further, the ML-based Classification And Regression Tree (CART) algorithm is used strategically to predict which model would be economical (or have the least inventory cost) with continuously varying demand and other inventory attributes.

Originality/value

The ML-based CART algorithm has rarely been seen to provide logical assistance to inventory practitioners in making wise-decision, while selecting inventory control models in dynamic batch-type production systems.

Article
Publication date: 12 December 2017

Bikram Jit Singh Mann and Sonia Babbar

The purpose of this study is to study the impact of new product announcements on the shareholder value in India since; there is lack of perceptive results regarding the impact…

Abstract

Purpose

The purpose of this study is to study the impact of new product announcements on the shareholder value in India since; there is lack of perceptive results regarding the impact. Also, an attempt has been made to analyse the determinants of value creation, by industry type, which has so far escaped the attention of researchers.

Design/methodology/approach

First, standard event study methodology has been used to measure the abnormal gains/losses of the announcing firms for the new product introductions. Second, regression analysis has been conducted to find out the relationship between the shareholder value and the firm and industry characteristic variables.

Findings

The results of the study show that the announcing companies in India have got significant positive returns during the announcement of the new product. The value stands at 0.00455 for the event day. In the second part, the application of the regression test has found that firm size, R&D intensity, free cash flow, debt ratio and market size are significant variables in the determination of the shareholder value.

Originality/value

The present study goes a step further in establishing the reasons for value creation when new product announcements are made by the Indian firms. The analysis has been carried out industry wise to identify the determinants of shareholder value in different industries. This would guide the decision makers at the strategic level and players of the stock market at large in taking much more informed decisions.

Details

Journal of Asia Business Studies, vol. 11 no. 4
Type: Research Article
ISSN: 1558-7894

Keywords

Article
Publication date: 9 January 2020

Harsimran Singh Sodhi, Doordarshi Singh and Bikram Jit Singh

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

World Journal of Science, Technology and Sustainable Development, vol. 17 no. 1
Type: Research Article
ISSN: 2042-5945

Keywords

Article
Publication date: 9 January 2020

Harsimran Singh Sodhi, Doordarshi Singh and Bikram Jit Singh

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

World Journal of Science, Technology and Sustainable Development, vol. 17 no. 1
Type: Research Article
ISSN: 2042-5945

Keywords

Article
Publication date: 29 November 2018

Bikram Jit Singh Mann and Sonia Babbar

Before introducing new products, companies make announcements regarding the launch of the product which influences stock market yields of the announcing companies. Information…

Abstract

Purpose

Before introducing new products, companies make announcements regarding the launch of the product which influences stock market yields of the announcing companies. Information content of the new product announcement has never been an exclusive focused stream of research. Therefore, an assessment of the impact of the content characteristics of the new product announcement on the shareholder value and the impact of source credibility (spokesperson) in making such announcements is a major gap in the existing literature. The paper aims to discuss these issues.

Design/methodology/approach

First, the standard event study methodology has been employed on the sample to measure the abnormal gains/losses accruing to the announcing firms. Second, moderated regression analysis (MRA) is employed to identify the characteristics of the new product announcement and to check the role of the spokesperson in creating shareholder value.

Findings

The results of the event study indicate that the abnormal returns are generated during the new product announcement. The results of MRA disclose the variables having a positive and a significant influence on the effective returns of the announcing companies. Likewise, the role of the spokesperson has come out brightly as a credible communicator.

Originality/value

The research provides a direction to the announcing companies regarding the content of the announcement leading to a positive perception among the investing community. Likewise, it also provides direction to the investor community about the characteristics of the announcement content they give weight age in forming a perception of strength in evaluating the new product announcement, to which they are largely unaware.

Details

International Journal of Emerging Markets, vol. 13 no. 6
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 1 January 2010

Bikram Jit Singh and Dinesh Khanduja

The purpose of this paper is to uncover the significance of quick changeovers in die‐casting foundry environments.

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Abstract

Purpose

The purpose of this paper is to uncover the significance of quick changeovers in die‐casting foundry environments.

Design/methodology/approach

The paper gives set‐up instructions and guidelines to prepare the standardized set‐up procedure without ignoring actual constraints in foundries. It uses a case study in a medium scale piston foundry to generate an integrated set‐up reduction approach, utilizing single minute exchange of die (SMED)‐based industrial engineering tools to achieve faster set‐ups. It describes the feasibility of quick changeovers in foundry small and medium enterprises based on a “SMED” approach. Finally, the paper carries out empirical analysis of the financial/non‐financial benefits incurred from set‐up reductions.

Findings

Set‐up activities are a vital part of the production lead‐time of any product and so affect overall product cost. Tools like Pareto analysis, root‐cause analysis and method study have been used to analyze the existing procedure of set‐ups. A SMED approach can help eliminate unwanted activities, externalize the internal activities, if possible and reduce them by simplification or standardization. The application of other tools such as 5S, Poke‐Yoke and specific tool‐kits are suggested to further reduce set‐up times.

Originality/value

The paper demonstrates the practical application of SMED showing how it can bring real breakthroughs in productivity to small and medium scale foundries.

Details

International Journal of Productivity and Performance Management, vol. 59 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 30 September 2014

Sukhwinder Singh Jolly and Bikram Jit Singh

The purpose of this paper is to demonstrate a tactical approach to cope with the issues related to low availability of repairable machines or systems because of their poor…

Abstract

Purpose

The purpose of this paper is to demonstrate a tactical approach to cope with the issues related to low availability of repairable machines or systems because of their poor reliability and maintainability. It not only explores the significance of availability, but also embarks upon a step-by-step procedure to earmark a relevant replenishment plan to check the mean time between failure (MTBF) and the mean time to repair (MTTR) efficiently.

Design/methodology/approach

The literature review identifies the extent to which availability depends on reliability and maintainability, and highlights the diversified challenges appearing among repairable systems. Different improvement initiatives have been suggested to avoid downtime, after analyzing the failure and repair time data graphically. Relevant plots and growth curves captured the historical deviations and trends along with the time, which further helps to create more robust action plans to enrich the respective reliability and maintainability of machines. During the case study, the proposed methodology has been tested on four SPMs and successfully validated the claims after achieving around a 98 percent availability at the end.

Findings

Graphical analysis is the key to developing suitable action plans to enhance the corresponding reliability and maintainability of a machine or system. By increasing the MTBF, the reliability level can be improved and similarly quick maintenance activities can help to restore the prospect of maintainability. Both of these actions ultimately reduce the downtime or increase the associated availability exponentially.

Research limitations/implications

The work revolves around the availability of SPMs. Moreover, SPMs have been divided only into series sub-systems. The testability and supportability aspects have not been considered thoroughly during the fabrication of the approach.

Originality/value

The work focusses on the availability of systems and proposed frameworks that helps to reduce downtime or its associated expenditure, which is generally being ignored. As a case study-based work especially on SPMs in the auto sector this paper is quite rare and will motivate affiliated engineers and practitioners to achieve future breakthroughs.

Article
Publication date: 27 May 2014

Bikram Jit Singh and Yash Bakshi

The aim of this paper is to follow an analytic-deductive approach to realize the issues related to the present power crisis and growing demand of backup power systems (BPSs)…

Abstract

Purpose

The aim of this paper is to follow an analytic-deductive approach to realize the issues related to the present power crisis and growing demand of backup power systems (BPSs), especially in India. It not only explores the need of high-cost BPSs in the current scenario but also puts an emphasis to reduce the running cost through parametric optimizations.

Design/methodology/approach

Literature review identifies dependency of every sector on BPS and also highlights present and future challenges erupting in this age of power scarcity. Different improvement initiatives being used to improve efficiency of BPS have been studied, but quite rare application of Six Sigma in BPS sector, in actual was found. A define-measure-analyze-improve-control (DMAIC) model of Six Sigma is being suggested and practiced for bringing a breakthrough in efficiency or mileage of a diesel genset (used as a BPS).

Findings

Importance of BPS cannot be ignored, particularly in developing countries, but feeble effort was seen to improve its power generation cost. An imprecise and outdated framework used for bringing a change in the BPS sector is unable to increase its overall equipment efficiency. The diversified methodology of Six Sigma has been successfully implemented through a case study discussed and further validates the approach adopted to tackle the problem formulated further in the paper.

Research limitations/implications

The whole work more or less revolves around the Indian energy scenario and seems to be talking about the power generation process and its optimization, in context of only diesel genets as BPS.

Originality/value

The paper outlines the need for energy reform in industry. The DMAIC approach of Six Sigma in the BPS sector is too infrequent and next, motivates to reduce BPS cost and its associated expenditures, which are generally ignored.

Details

International Journal of Lean Six Sigma, vol. 5 no. 2
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 2 November 2015

Arvind Chopra and Bikram Jit Singh

Nowadays companies in the world are selling products by keeping quality as a central value for the customer. Quality-related costs arise from a series of activities performed in…

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Abstract

Purpose

Nowadays companies in the world are selling products by keeping quality as a central value for the customer. Quality-related costs arise from a series of activities performed in order to maintain the quality of product or service. Like other activities of business, quality costs can be programmed, budgeted, measured and analysed to attain the objective of better quality at lower cost. The purpose of this paper is to formulate a decisive methodology to optimize total quality cost (TQC), comprehensively.

Design/methodology/approach

The TQC borne by any small- and medium-sized enterprise (SME) is the authentic base, which decides budget and other financial policies for running its ongoing quality programmes. To minimize TQC, one has to make sufficient cut backs in the total failure cost (TFC). Through regression analysis, TFC has been statistically modelled with primary quality costs (like preventive costs (PC) and appraisal costs (AC)). Subsequent graphical analysis has been delineated to elaborate relevant behaviour of different quality costs. At last, potency of suggested methodology has been strategically verified by executing a successful case study in an Indian Auto SME. The requisite optimization has been achieved by using Minitab Statistical Software and its practical validation is checked by conducting a two-sample t-test, exclusively.

Findings

It has been found that TFC has a direct positive correlation with TQC and it increases with time. Further, TFC is inversely proportional with PC and AC. PC and AC act as independent costs, while TFC is a dependent or secondary quality cost. If the authors strategically allocate PC and AC in advance by using statistical advanced tools, then internal failure costs and external failure costs will diminish amply.

Research limitations/implications

It inspires practitioner to harvest profits by inculcating quality cost optimization through lodged statistical behavioural investigation. Proposed approach is verified after performing an empirical study only on an automobile manufacturing SME. Further research is indeed required to testify the given methodology for more complex process configurations.

Practical implications

Data related to quality costs is well available with practitioners but generally lying ignored. The case findings will motivate quality practitioners to use the proposed step by step approach for sustainable reduction in overall quality cost.

Originality/value

SMEs find it difficult to lower their TQC due to severe scarcity of resources and funds. Moreover literature provides mainly the theoretical or qualitative cases which remain ineffective to propel SMEs towards the real world savings. But this manuscript will act as a unique road-map to de-code the behaviour of different quality costs quantitatively without ignoring the existing constraints of SMEs, especially in the developing nations.

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