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Article
Publication date: 10 December 2021

Aishwarya Dhara, Gurpreet Kaur, Pon Maa Kishan, Arunava Majumder and Rakesh Yadav

This paper aims to assure the selection of the most suitable very light business aircraft which is preferred by the passengers based on effectiveness and aesthetic…

Abstract

Purpose

This paper aims to assure the selection of the most suitable very light business aircraft which is preferred by the passengers based on effectiveness and aesthetic comfort. The proposed approach to determine the light business jet aircraft would provide long-range, less travel time, cozy seating arrangements, on-board lavatory facility, other aesthetic ambiance (audio systems, light systems and temperature-noise control) and appliances at reasonable flight cost.

Design/methodology/approach

The selection of a light business jet is obtained through multi-criteria decision-making based on the speed limit ranges from 0.57 to 0.70 Mach number and the distance traveled up to 3,000 km with the best aesthetic comfort level. To validate the approach, case studies of five aircrafts such as Honda Jet HA 420, Cessna Citation jet M2, Embraer Phenom 100, Eclipse 550 and Cessna Citation Mustang are performed. To obtain the best suitable business jet, criteria importance through intercriteria correlation (CRITIC) and technique for order performance by similarity to ideal solution (TOPSIS) is used to determine the rankings of listed aircraft.

Findings

The study concludes that the Cessna Citation jet M2 is chosen as the best Very Light Jet (VLJ) on the basis of speed, range, weight, cost, aesthetic and comfort. Based on the sensitivity, mean absolute percentage error (MAPE) and symmetric mean absolute percentage error analysis (sMAPE), the most and least sensitive criteria for a business jet came out to be cost and speed, respectively.

Originality/value

A real case study for several parameters of five different jets such as Honda Jet HA 420, Cessna Citation jet M2, Embraer Phenom 100, Eclipse 550 and Cessna Citation Mustang are shown in this paper. Based on the case study numerical values are assigned with speed, range, weight, cost, aesthetic and comfort which are applied with CRITIC and TOPSIS to obtain the most suitable business jet among the five mentioned jets which are rarely found in the literature.

Details

Aircraft Engineering and Aerospace Technology, vol. 94 no. 3
Type: Research Article
ISSN: 1748-8842

Keywords

Article
Publication date: 7 January 2020

Vaishali Sahu, Rounak Attri, Prashast Gupta and Rakesh Yadav

This paper aims to study the effect of the addition of water treatment plant sludge (WTPS) and processed tea waste (PTW) on the properties of burnt clay bricks. The reuse…

Abstract

Purpose

This paper aims to study the effect of the addition of water treatment plant sludge (WTPS) and processed tea waste (PTW) on the properties of burnt clay bricks. The reuse of WTP sludge as a raw material for brick production is a long-term approach, to sludge disposal, for economic and environmental sustainability. Sludge have been added at 10, 20, 30 and 40% and processed tea waste at 5% (by weight) in replacement of clay for brick manufacturing. Each batch of hand-moulded bricks was fired in a heat controlled furnace at a temperature of 990°C. The compressive strength has been found to increase with the sludge content, however, a slight decrease in compressive strength was observed with tea waste addition. Further, PTW addition has improved the thermal insulation of bricks as compared to controlled bricks. The study shows that 40% WTPS, 5% PTW and 55% natural clayey soil can be considered as an optimum mix for bricks with good compressive strength as well as improved thermal insulation property.

Design/methodology/approach

Four different mixing ratios of sludge at 10, 20, 30 and 40% of the total weight of sludge-clay mixtures were used to make bricks. Similarly, PTW was investigated as a substitute of natural clayey soil in brick manufacturing. Each batch of hand-moulded bricks was fired in a heat controlled furnace at a temperature of 990°C. The physical, mechanical and engineering properties of the produced WTPS bricks and PTW bricks were determined and evaluated according to various Indian Standard Codes of Specification for burnt clay bricks and certain reference books.

Findings

The results exhibited that WTP sludge and PTW can be used to produce good quality brick for various engineering applications in construction and building. Increasing the sludge content increases the compressive strength. Moreover, thermal insulation of PTW bricks depicted an upward trend when compared to controlled bricks. Hence, an optimum mixture of 40% WTPS, 5% PTW and 55% natural clayey soil was found, at which bricks showed good compressive strength as well as improved thermal insulation property of the building material.

Research limitations/implications

The present work provides a sustainable solution for disposal of WTP sludge and tea waste. Utilization of these waste materials in brick manufacturing is viable and economic solution.

Practical implications

Bricks with 40% WTP sludge and 5% processed tea waste proved to be economic, technically sound for construction purposes with added thermal insulation properties.

Social implications

Bulk amount of waste such as WTP sludge is a threat to society owing to its environmental implications of disposal. Authors propose to use WTP sludge and tea waste for brick manufacturing and provide a solution to its disposal.

Originality/value

Water treatment plant sludge along with tea waste have not been tried for brick manufacturing so far. Hence, the composition is new in itself and also have resulted into good performance.

Details

Journal of Engineering, Design and Technology , vol. 18 no. 3
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 15 August 2019

Hila Chalutz Ben-Gal

The purpose of this paper is to provide a return on investment (ROI) based review of human resources (HR) analytics. The objectives of this paper are twofold: first, to…

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Abstract

Purpose

The purpose of this paper is to provide a return on investment (ROI) based review of human resources (HR) analytics. The objectives of this paper are twofold: first, to offer an integrative analysis of the literature on the topic of HR analytics in order to provide scholars and practitioners a comprehensive yet practical ROI-based view on the topic; second, to provide practical implementation tools in order to assist decision makers concerning questions of whether and in which format to implement HR analytics by highlighting specific directions as to where the expected ROI may be found.

Design/methodology/approach

This paper is a review paper in which a four-step review and analysis methodology is implemented.

Findings

Study results indicate that empirical and conceptual studies in HR analytics generate higher ROI compared to technical- and case-based studies. Additionally, study results indicate that workforce planning and recruitment and selection are two HR tasks, which yield the highest ROI.

Practical implications

The results of this study provide practical information for HR professionals aiming to adopt HR analytics. The ROI-based approach to HR analytics presented in this study provides a robust tool to compare and contrast different dilemma and associated value that can be derived from conducting the various types of HR analytics projects.

Originality/value

A framework is presented that aggregates the findings and clarifies how various HR analytics tools influence ROI and how these relationships can be explained.

Article
Publication date: 18 January 2008

A.J. Thomas, R. Barton and E.G. John

The purpose of this paper is to provide details of a survey conducted into 300 manufacturing SMEs from a range of different industrial sectors. The survey investigates…

3100

Abstract

Purpose

The purpose of this paper is to provide details of a survey conducted into 300 manufacturing SMEs from a range of different industrial sectors. The survey investigates, over a three‐year period, the attitudes towards and benefits obtained by SMEs through the adoption of Advanced Manufacturing Technologies (AMT). Its purpose is to analyse and disseminate these survey data to academics and industrialists.

Design/methodology/approach

The paper uses a research survey of 300 manufacturing SMEs. Analysis of the findings is provided and SME characterisation tables are developed.

Findings

The paper finds that characterisation, compatibility and innovativeness of SMEs towards AMT implementation were found to vary considerably with the SMEs surveyed. From the survey information, the paper develops a classification system based on the capabilities of these companies to implement Advanced Manufacturing Technologies. The paper will then characterise SME attitudes towards the development of AMT. The paper finally proposes a strategic model for the effective introduction and application of AMT in SMEs.

Research limitations/implications

The survey is limited to SMEs and provides a strong body of evidence relating to AMT development with these companies.

Practical implications

The paper proposes a strategic model for the effective introduction and application of AMT in SMEs. The creation of a generic AMT implementation model provides a framework for a wider number of SMEs to introduce AMT into their respective organisations, since it provides for a systematic approach for SMEs to introduce AMT in an efficient and effective manner, thus reducing implementation costs, minimises risk of project failure and improves project management efficiency.

Originality/value

This paper is the first to explore in depth the AMT implementation issues within SMEs from large‐scale survey data. It not only analyses the survey data but also proposes a model for change, which aims to develop a more structured approach to AMT implementation in SMEs. Therefore, this work will make a contribution to this under‐researched area.

Details

International Journal of Productivity and Performance Management, vol. 57 no. 2
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 28 September 2018

Vinod Yadav, Rakesh Jain, Murari Lal Mittal, Avinash Panwar and Milind Kumar Sharma

Global competition has intensified pressure on small- and medium-sized enterprises (SMEs) to implement lean. Recently, the debate has converged to the role of lean…

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Abstract

Purpose

Global competition has intensified pressure on small- and medium-sized enterprises (SMEs) to implement lean. Recently, the debate has converged to the role of lean implementation barriers (LIBs). The purpose of this paper is to contribute to this debate by exploring the LIBs in SMEs through three case studies.

Design/methodology/approach

A case study approach was employed followed by interpretive structural modelling (ISM) to model the interrelationship among the LIBs.

Findings

This study reveals that lack of management commitment, leadership and resources are the key barriers to lean implementation in SMEs in India. Furthermore, poor communication between different levels of the organisation and inadequate dissemination of the knowledge of lean benefits also creates hindrance in lean implementation. Managerial implications of the identified barriers for lean implementation in SMEs have been discussed.

Originality/value

The research regarding lean implementation in SMEs is scarce. This study is the first attempt of its kind to identify the lean barriers in a small industry setup through mathematical analysis.

Details

Journal of Manufacturing Technology Management, vol. 30 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 16 June 2021

Kirti Nayal, Rakesh D. Raut, Maciel M. Queiroz, Vinay Surendra Yadav and Balkrishna E. Narkhede

This article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the…

Abstract

Purpose

This article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural supply chain (ASC) in the Indian context.

Design/methodology/approach

20 critical challenges were modeled based on a comprehensive literature review and consultation with experts. The hybrid approach of “Delphi interpretive structural modeling (ISM)-Fuzzy Matrice d' Impacts Croises Multiplication Applique'e à un Classement (MICMAC) − analytical network process (ANP)” was used.

Findings

The study's outcome indicates that “lack of central and state regulations and rules” and “lack of data security and privacy” are the crucial challenges of AI-ML implementation in the ASC. Furthermore, AI-ML in the ASC is a powerful enabler of accurate prediction to minimize uncertainties.

Research limitations/implications

This study will help stakeholders, policymakers, government and service providers understand and formulate appropriate strategies to enhance AI-ML implementation in ASCs. Also, it provides valuable insights into the COVID-19 impacts from an ASC perspective. Besides, as the study was conducted in India, decision-makers and practitioners from other geographies and economies must extrapolate the results with due care.

Originality/value

This study is one of the first that investigates the potential of AI-ML in the ASC during COVID-19 by employing a hybrid approach using Delphi-ISM-Fuzzy-MICMAC-ANP.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 25 October 2021

Dnyaneshwar J. Ghode, Vinod Yadav, Rakesh Jain and Gunjan Soni

A supply chain (SC) involves many stakeholders, directly or indirectly, for satisfying consumers’ requirements. SC management is restricted by a lack of information…

Abstract

Purpose

A supply chain (SC) involves many stakeholders, directly or indirectly, for satisfying consumers’ requirements. SC management is restricted by a lack of information sharing among stakeholders as parties of SC do not have direct communication and/or are not willing to share private and competitively sensitive information. In the SC, the bullwhip effect (BWE) is an undesirable phenomenon that aggravates the SC performance and increases the overall cost of SC. The main culprit of BWE is the lack of SC coordination among the parties, which results from wrong and lack of information sharing. Blockchain technology (BT) has the main characteristic of distributed shared ledger that makes all parties in the SC network able to access data. This paper aims to develop a BT model and implement it into the SC.

Design/methodology/approach

A blockchain is developed consisting four SC stakeholders and an integrated development environment has been used for coding in Python.

Findings

The analysis of the impact of the adoption of BT in SC shows the reduction in BWE.

Originality/value

In SC, BT can be considered as an effective tool to share the demand data among all SC partners. Sharing of such data will improve SC planning and reduce the BWE.

Article
Publication date: 14 August 2018

Vinod Yadav, Rakesh Jain, Murari Lal Mittal, Avinash Panwar and Andrew Lyons

Although lean thinking is deemed to be a gold standard of modern production management, a lot of scepticism still remains regarding its applicability in small- and…

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Abstract

Purpose

Although lean thinking is deemed to be a gold standard of modern production management, a lot of scepticism still remains regarding its applicability in small- and medium-sized enterprises (SMEs). The purpose of this paper is to understand the perception of lean in SMEs and establish the relationship between lean adoption and operational performance.

Design/methodology/approach

With the help of a survey, data were collected from 425 SMEs in India and analyzed using structural equation modeling.

Findings

Operational performance of the firms was found to be positively related to lean implementation.

Originality/value

This study also furnishes practitioners with a better understanding of lean thinking in SMEs and its impact on performance.

Details

Industrial Management & Data Systems, vol. 119 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 12 October 2021

Vaibhav S. Narwane, Rakesh D. Raut, Vinay Surendra Yadav, Naoufel Cheikhrouhou, Balkrishna E. Narkhede and Pragati Priyadarshinee

Big data is relevant to the supply chain, as it provides analytics tools for decision-making and business intelligence. Supply Chain 4.0 and big data are necessary for…

Abstract

Purpose

Big data is relevant to the supply chain, as it provides analytics tools for decision-making and business intelligence. Supply Chain 4.0 and big data are necessary for organisations to handle volatile, dynamic and global value networks. This paper aims to investigate the mediating role of “big data analytics” between Supply Chain 4.0 business performance and nine performance factors.

Design/methodology/approach

A two-stage hybrid model of statistical analysis and artificial neural network analysis is used for analysing the data. Data gathered from 321 responses from 40 Indian manufacturing organisations are collected for the analysis.

Findings

Statistical analysis results show that performance factors of organisational and top management, sustainable procurement and sourcing, environmental, information and product delivery, operational, technical and knowledge, and collaborative planning have a significant effect on big data adoption. Furthermore, the results were given to the artificial neural network model as input and results show “information and product delivery” and “sustainable procurement and sourcing” as the two most vital predictors of big data adoption.

Research limitations/implications

This study confirms the mediating role of big data for Supply Chain 4.0 in manufacturing organisations of developing countries. This study guides to formulate management policies and organisation vision about big data analytics.

Originality/value

For the first time, the impact of big data on Supply Chain 4.0 is discussed in the context of Indian manufacturing organisations. The proposed hybrid model intends to evaluate the mediating role of big data analytics to enhance Supply Chain 4.0 business performance.

Details

Journal of Enterprise Information Management, vol. 34 no. 5
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 11 August 2021

Ganesh Tanpure, Vinod Yadav, Rakesh Jain and Gunjan Soni

The Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework…

Abstract

Purpose

The Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework for the adoption of PLM systems in manufacturing organizations to meet the actual requirements of industries.

Design/methodology/approach

First, a systematic review of extant literature was performed, and further, the case study approach is opted to study the process of New Product Development (NPD) in a manufacturing organization. Triangulation methodology was adopted wherein the interview results, actual observations, and authorized documentations were used to validate the result and provide conclusions.

Findings

A conceptual framework and implementation architecture for PLM is derived. The complete ecosystem for digital footprint is mapped for New Product Development (NPD) activities.

Practical implications

The study could be helpful for Techno-Functional Managers. For individuals with only functional/technical knowledge, additional training might be required to adopt the framework in actual practices.

Originality/value

The paper contributes to the existing literature by providing a framework and demonstrating the feasibility of implementation through the case study.

Details

Benchmarking: An International Journal, vol. 29 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

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