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Article
Publication date: 8 October 2018

Dinesh Kumar and D. Kumar

The purpose of this paper is to eliminate the medicine stock-out problem by building an optimum medicine stock in rural healthcare centers in India.

Abstract

Purpose

The purpose of this paper is to eliminate the medicine stock-out problem by building an optimum medicine stock in rural healthcare centers in India.

Design/methodology/approach

Data associated with inflow and outflow of a specific medicine (folic acid tablets) arer collected from all consecutive supply chain stages during the survey. While conducting the survey, it is found that several medicines are out of stock owing to uncertain lead time and demand. Integrating with quantity discount and min–max (s, S) inventory policy, two models are developed using system dynamics: one is Model 1 with constant lead time and uncertain demand, and the other is Model 2 with both uncertain lead time and demand.

Findings

Both models are simulated for a period of one year on Stella 9.1 platform. The results are compared with actual data, and the comparison shows significant improvement of the medicine stock at all downstream stages, while maintaining a certain safety stock. Further, Model 2 suggests a larger stock than Model 1 at each point of time.

Practical implications

Despite numerous issues, the stocks of medicine in rural healthcare systems can be improved as suggested by the models. The models depict the behavior of inventory stock at each stage of the supply chain and act as a function of time that could be used in the form of a prediction tool for the policymakers.

Originality/value

This paper is one of the first papers that had developed the model of the medicine supply chain in rural parts of a developing country. It provides a generic framework for the stock assessment and improvement throughout the supply chain.

Details

International Journal of Health Care Quality Assurance, vol. 31 no. 8
Type: Research Article
ISSN: 0952-6862

Keywords

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Article
Publication date: 12 January 2021

Dinesh Kumar Anguraj, S. Balasubramaniyan, E. Saravana Kumar, J. Vakula Rani and M. Ashwin

The purpose of the research is to concentrate on the most important smart metropolitan applications which are smart living, smart security and smart maintainable. In that…

Abstract

Purpose

The purpose of the research is to concentrate on the most important smart metropolitan applications which are smart living, smart security and smart maintainable. In that, Power management and security is a most important problem in the current metropolitan situation.

Design/methodology/approach

A smart metropolitan area utilizes recent innovative technologies to improve its living, security and maintainable. The aim of this study is to recognize and resolve the difficulties in metropolitan area applications.

Findings

The main aim of this study is to reduce the metropolitan foremost energy consumption, to recharge the electric vehicles and to increase the lifetime of smart street lights.

Originality/value

The hybrid renewable energy street light applies smart resolutions to substructure and facilities in rural and metropolitan areas to create them well. This study will be applying smart metropolitan solar and wind turbine street light using renewable energy for existing areas. In future, the smart street light work will be implemented everywhere else.

Details

International Journal of Intelligent Unmanned Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2049-6427

Keywords

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Article
Publication date: 29 May 2020

Manimay Dev, Dinesh Kumar and Dharmendra Patel

The purpose of this paper is to identify the factors that influence hospitals’ selection by health-care insurers in India and to establish a hierarchical model…

Abstract

Purpose

The purpose of this paper is to identify the factors that influence hospitals’ selection by health-care insurers in India and to establish a hierarchical model representing the relationship among different factors and their influence on the entire scenario.

Design/methodology/approach

A survey with a set of questionnaires was conducted with different health-care insurer executives of reputed health insurance companies. The data has been gathered by using a five-point Likert scale. Their opinions were converted into a reachability matrix and an interpretive structural modeling was constructed. The final results obtained were verified by using fuzzy Matriced Impacts Croises-Multiplication Applique and Classement analysis.

Findings

The results suggested three key driving factors, National Accreditation Board for Hospitals & Healthcare Providers accreditation of the hospital, purchasing power of people in the region and national and international recognition of the hospital among the eleven factors selected for the study.

Research limitations/implications

The research mainly focuses on the health insurance benefits provided by privately owned insurance companies and do not comment on any government’s mass health insurance scheme.

Practical implications

With a small proportion of people under the umbrella of health insurance in India, these factors will assist and expedite insurer’s effort to penetrate deep into rural and urban areas enhancing availability and escalating affordability.

Originality/value

This paper presents key factors responsible for better coordination between health-care systems and insurance companies.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 14 no. 3
Type: Research Article
ISSN: 1750-6123

Keywords

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Article
Publication date: 25 August 2020

Sricharan Chirra and Dinesh Kumar

In today's competitive market subject to various uncertainties, supply chain flexibility (SCF) arose as a potential weapon to enhance the firm's performance. This paper…

Abstract

Purpose

In today's competitive market subject to various uncertainties, supply chain flexibility (SCF) arose as a potential weapon to enhance the firm's performance. This paper model the effect of SCF on automobile industry performance during sales promotional schemes (SPS), which has turned out to be one of the most important marketing tools.

Design/methodology/approach

In view of the literature and the expert opinion taken from an automobile OEM, the SCFs and performance measures pertaining to the SPS environment have been identified. For the purpose of ranking the SCFs with respect to the performance measures, the Interpretive Ranking Process (IRP) has been applied using the direct contact method as a means for establishing the contextual relationships between SCFs and performance measures and to draw the interpreting reasons behind them.

Findings

The findings of this study along with the validity and stability of the results assessed through the system graphs and sensitivity analysis demonstrate that flexibility at the procurement end followed by the organizational end has the highest impact on the performance of the company during SPS.

Originality/value

Analysis of SCFs in regard to performance measures during SPS helps improve supply chain performance and offer valuable insights to the practicing managers in decision-making. This study augments the flexibility literature, by clubbing the two independent research streams, SCF and SPS.

Details

International Journal of Productivity and Performance Management, vol. 70 no. 7
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 12 August 2021

Dheeraj Chandra, B. Vipin and Dinesh Kumar

Due to the introduction of new vaccines in the child immunization program and inefficient vaccine supply chain (VSC), the universal immunization program (UIP), India is…

Abstract

Purpose

Due to the introduction of new vaccines in the child immunization program and inefficient vaccine supply chain (VSC), the universal immunization program (UIP), India is struggling to provide a full schedule of vaccination to the targeted children. In this paper, the authors investigate the critical factors for improving the performance of the existing VSC system by implementing the next-generation vaccine supply chain (NGVSC) in India.

Design/methodology/approach

The authors design a fuzzy multi-criteria framework using a fuzzy analytical hierarchical process (FAHP) and fuzzy multi-objective optimization on the basis of ratio analysis (FMOORA) to identify and analyze the critical barriers and enablers for the implementation of NGVSC. Further, the authors carry out a numerical simulation to validate the model.

Findings

The outcome of the analysis contends that demand forecasting is the topmost supply chain barrier and sustainable financing is the most important/critical enabler to facilitate the implementation of the NGVSC. In addition, the simulation reveals that the results of the study are reliable.

Social implications

The findings of the study can be useful for the child immunization policymakers of India and other developing countries to design appropriate strategies for improving existing VSC performance by implementing the NGVSC.

Originality/value

To the best of the authors’ knowledge, the study is the first empirical study to propose the improvement of VSC performance by designing the NGVSC.

Details

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

Keywords

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Article
Publication date: 3 October 2019

Dinesh Kumar D.S. and P.V. Rao

The purpose of this paper is to incorporate a multimodal biometric system, which plays a major role in improving the accuracy and reducing FAR and FRR performance metrics…

Abstract

Purpose

The purpose of this paper is to incorporate a multimodal biometric system, which plays a major role in improving the accuracy and reducing FAR and FRR performance metrics. Biometrics plays a major role in several areas including military applications because of robustness of the system. Speech and face data are considered as key elements that are commonly used for multimodal biometric applications, as they are simultaneously acquired from camera and microphone.

Design/methodology/approach

In this proposed work, Viola‒Jones algorithm is used for face detection, and Local Binary Pattern consists of texture operators that perform thresholding operation to extract the features of face. Mel-frequency cepstral coefficients exploit the performances of voice data, and median filter is used for removing noise. KNN classifier is used for fusion of both face and voice. The proposed method produces better results in noisy environment with better accuracy. In this proposed method, from the database, 120 face and voice samples are trained and tested with simulation results using MATLAB tool that improves performance in better recognition and accuracy.

Findings

The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

Originality/value

The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

Details

International Journal of Intelligent Unmanned Systems, vol. 8 no. 1
Type: Research Article
ISSN: 2049-6427

Keywords

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Article
Publication date: 2 August 2021

Mayur Pratap Singh, Pavan Kumar Meena, Kanwer Singh Arora, Rajneesh Kumar and Dinesh Kumar Shukla

This paper aims to measure peak temperatures and cooling rates for distinct locations of thermocouples in the butt weld joint of mild steel plates. For experimental…

Abstract

Purpose

This paper aims to measure peak temperatures and cooling rates for distinct locations of thermocouples in the butt weld joint of mild steel plates. For experimental measurement of peak temperatures, K-type thermocouples coupled with a data acquisition system were used at predetermined locations. Thereafter, Rosenthal’s analytical models for thin two-dimensional (2D) and thick three-dimensional (3D) plates were adopted to predict peak temperatures for different thermocouple positions. A finite element model (FEM) based on an advanced prescribed temperature approach was adopted to predict time-temperature history for predetermined locations of thermocouples.

Design/methodology/approach

Comparing experimental and Rosenthal analytical models (2D and 3D) findings show that predicted and measured peak temperatures are in close agreement, while cooling rates predicted by analytical models (2D, 3D) show significant variation from measured values. On the other hand, 3D FEM simulation predicted peak temperatures and cooling rates for different thermocouple positions are close to experimental findings.

Findings

The inclusion of filler metal during simulation of welding rightly replicates the real welding situation and improves outcomes of the analysis.

Originality/value

The present study is an original contribution to the field of welding technology.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

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Article
Publication date: 13 August 2020

Mayur Pratap Singh, Dinesh Kumar Shukla, Rajneesh Kumar and Kanwer Singh Arora

The key purpose of conducting this review is to identify the issues that affect the structural integrity of pipeline structures. Heat affected zone (HAZ) has been…

Abstract

Purpose

The key purpose of conducting this review is to identify the issues that affect the structural integrity of pipeline structures. Heat affected zone (HAZ) has been identified as the weak zone in pipeline welds which is prone to have immature failures

Design/methodology/approach

In the present work, literature review is conducted on key issues related to the structural integrity of pipeline steel welds. Mechanical and microstructural transformations that take place during welding have been systematically reviewed in the present review paper.

Findings

Key findings of the present review underline the role of brittle microstructure phases, and hard secondary particles present in the matrix are responsible for intergranular and intragranular cracks.

Research limitations/implications

The research limitations of the present review are new material characterization techniques that are not available in developing countries.

Practical implications

The practical limitations are new test methodologies and associated cost.

Social implications

The fracture of pipelines significantly affects the surrounding ecology. The continuous spillage of oil pollutes the land and water of the surroundings.

Originality/value

The present review contains recent and past studies conducted on welded pipeline steel structures. The systematic analysis of studies conducted so far highlights various bottlenecks of the welding methods.

Details

International Journal of Structural Integrity, vol. 12 no. 3
Type: Research Article
ISSN: 1757-9864

Keywords

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Article
Publication date: 20 September 2021

Anjali Singh, Sumi Jha, Dinesh Kumar Srivastava and Abheesh Somarajan

Concerned with the rising social, economic and technological disruption in the world, the impact of the technological disruption had a significant impact on the future of…

Abstract

Purpose

Concerned with the rising social, economic and technological disruption in the world, the impact of the technological disruption had a significant impact on the future of work and it has been tremendously increased in past five years. Further, with the rising uncertainties and COVID-19 in the picture, the trends suggested by earlier literature might not hold. The purpose of this paper is to understand the evolution of technology in the workplace in the past five years, how does it stand during COVID-19, will the trend continue in light of disruption caused by COVID-19, the impact of COVID-19 on the future of work.

Design/methodology/approach

The paper uses bibliometric techniques to identify the conceptual and intellectual structure of the studies. The programming language named after authors Robert and Ross (R) software and Biblioshiny were used to identify the structures and the themes underlying those structures, which further helped in forecasting the trends of the studies.

Findings

The paper shows the drastic evolution of the studies in past few years and different technologies implemented at the workplace in the same period. It further identified the influential papers, authors, journals in the area with an emphasis on the various collaboration network among authors and countries. It also paints a picture of the impact of COVID-19 on the future of work. The paper finally concluded with future directions for the emerging trends and themes in the area in aftermath of COVID-19.

Originality/value

This paper takes the microscopic view of the studies carried out in the past five years as during the past five years, the studies related to this topic have grown tremendously and accordingly many trends have been identified but with the COVID-19 pandemic in the picture, the trend is likely to get accelerated. This paper takes this view and identifies the trends in the future by identifying the themes based on periods and at different levels – organizational, managerial, individual.

Details

foresight, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-6689

Keywords

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Article
Publication date: 31 December 2020

Shweta and Dinesh Kumar

Integrated supply chain in pharmaceutical industry requires organized planning and modeling of each strategic element of pharmaceutical supply chain (PSC). The aim is to…

Abstract

Purpose

Integrated supply chain in pharmaceutical industry requires organized planning and modeling of each strategic element of pharmaceutical supply chain (PSC). The aim is to coordinate each activity of PSC and design a robust strategy to make the system hassle-free. Each activity of industry is interdependent and follows certain co-relations with each other. The paper focuses on the four most significant identified issues in PSC and analyses the weightages of these issues and their sub issues with respect to cost incurred and time taken to manage whole chain of supply.

Design/methodology/approach

Fuzzy analytical hierarchy process methodology has been applied to rank the issues which consume maximum time and/or costs.

Findings

The derived result shows that warehouse design and management (WDM) consumes more than one third of the total time and around half of the total cost. Other than WDM, process of supplier selection for procurement is second most time and cost consuming issue. The derived results are discussed and provided to the field experts of the area. The analysis will be useful for decision makers to economize PSC.

Research limitations/implications

The study is limited to PSC; hence, result may vary with other practical situations.

Practical implications

This generated scope for further research on how to minimize the weightage of WDM for cost and time in PSC industry so that decision-makers can optimize the economic system of PSC.

Originality/value

The research is based on the field survey of India’s largest generic medicine distributing company in the government sector; hence, analysis has been performed on real situation.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 15 no. 1
Type: Research Article
ISSN: 1750-6123

Keywords

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