A Model for Evaluating HR Analytics Critical Success Factors in Industry 5.0

This study offers a methodology to evaluate HR analytics application critical factors that can aid HR managers in making proper strategic decisions. To help advance the study on the implementation of HR analytics, this research is based on the grey DEMATEL approach to envisage the formation of complex interrelation between the CSFs and find the effect level of these factors. Drawing conclusion from the above, the present study addresses certain key issues. Firstly, it aims to examine the challenges in implementing HR analytics techniques in Indian industry. Secondly it examines the causal relationship to analyses the tasks and their effect in detail. After analysing the available literature and creating the research problem based on the gaps observed, the chapter accentuates the necessity for studying and analysing the HR analytics challenges in Indian industries.

Effect of Big Data Analytics in Reverse Supply Chain - An Indian context

The main purpose of this paper is to know about the recent status of big data analytics (BDA) on various manufacturing and reverse supply chain levels (RSCL) in Indian industries. In particular, it emphasises on understanding of BDA concept in Indian industries and proposes a structure to examine industries’ development in executing BDA extends in reverse supply chain management (RSCM). A survey was conducted through questionnaires on RSCM levels of 330 industries. Of the 330 surveys that were mailed, 125 completed surveys were returned, corresponding to a response rate of 37.87 percent, which was slightly greater than previous studies (Queiroz and Telles, 2018).The information of Indian industries with respect to BDA, the hurdles with boundaries to BDA-venture reception, and the connection with reverse supply chain levels and BDA learning were recognized.

Selection of strategy for reverse logistics implementation

Purpose Reverse logistics has attracted many industries due to product recalls, enormous waste generation, competitive reasons, vast opportunity in the waste management market, and to get the maximum value out of waste recovery. Selection of the right implementation strategy is vital for reverse logistics to function efficiently. Therefore, this research aims to evaluate the criteria for selecting reverse logistics strategy and help to choose the preferred strategy for its implementation. Design/methodology/approach Three reverse logistics implementation strategies, namely, in-house, joint venture and outsourcing, are proposed. A novel hybrid fuzzy analytical hierarchy process (F-AHP) and fuzzy measurement of alternatives and ranking according to COmpromise Solution (F-MARCOS) based framework is developed to fulfil the research objective. A survey is performed on Indian manufacturing industry to demonstrate the applicability of the proposed framework. Findings The result shows that government policy and regulations, reverse logistics risks and reduced emission have prime importance for a manufacturing industry which needs to implement reverse logistics into its supply chain. Outsourcing is the preferred reverse logistics strategy followed by joint venture and in-house that a manufacturing firm in India can implement. Research limitations/implications The research results are based on the responses of the survey received. This research considers various industry sectors to test the applicability of the framework. However, for actual implementation, this survey must first be limited to a particular industry as the results will apply to that industrial sector only. Practical implications This developed framework simplifies the procedure of selecting the strategy when the industry needs to implement reverse logistics. For industries working with a smaller set of criteria, this framework is a powerful and dynamic approach for reducing and choosing the most pertinent one that helps accomplish their objectives of reverse logistics implementation strategy selection. Originality/value Based on the literature and current applicability of reverse logistics, this research proposes three models to implement reverse logistics in Indian industries. A novel hybrid F-AHP and F-MARCOS based framework is developed to handle the selection of suitable reverse logistics strategy.

Roadmap to Implementation of Industry 4.0 in Micro, Small & Medium Enterprises in India

The paradigm of Industry 4.0 finds major promise for deployment in Indian industries. This paper discusses a qualitative research methodology and strategies for the implementation of Industry 4.0 in MSMEs from various sectors in India. The researchers have collected data from experts from different MSMES through questionnaires and personal interviews. Difficulties and barriers for implementation of industry 4.0 in India have been analysed using the snowball sampling method where the sample units expect different academic and government organisations to develop an apparatus for efficient implementation of the technologies of Industry 4.0. A technical framework for processing real-time big data using the Knowledge Data Discovery (KDD) pipeline for quick decision-making is discussed in this study. The study concludes with the use of the framework for use of process data to improve process efficiency.

Studies and Practice of Geometrical Test Procedures & Reconditioning of CNC Lathe Machine Tool

Machining Centres have been major production units for many decades with desired levels of accuracy, economy in costs of production and ease of control. Though new disruptive technologies such as rapid manufacturing, near net shape manufacturing technologies are replacing these machining units, still small and medium Indian Industries go with the conventional ways of large-scale production using conventional and classical machining approaches. With huge setups in place, such machines with high productivity demands, require stringent parts alignment tests frequently from time to time, referred to as Geometrical or Alignment tests to enable accurate finishing and machining of parts and smooth and uninterrupted production. This paper puts forth some basic Geometrical Tests performed on SB CNC 60 Lathe Machine Tool unit, identifying major deviations measurements and reconditioning the machine parts. The main objective of running such tests is to prevent breakdown of the machine and ensure safety working when handling older and heavier conventional machines.

Implementation of Mass Customization for competitive advantage in Indian industries: a structural equation model

The enduring fluctuations in market demand, exemplified by exceedingly unpredictable customer requirements have given rise to Mass customization, which is acquiring increasing prominence in production and operations management. Fostering on the foundation laid by erstwhile researcher Hart[1], who developed an analytical framework of four pillars of mass customization for organizations, the objectives of this research are to obtain additional discernments on the nature of linkage between the four pillars and MC, in addition to their impact on competitive advantage. The current work is an attempt to explore the mass customization ability of manufacturing organizations of Indian origin and its impact on organisational performance and to propose a comprehensive assessment and decision-making model for manufacturers to implement mass customization for competitive benefits. Literature support is expanded and validated using data collected through survey conducted among managers of various divisions of organization of Indian origin. The final sample contains 276 usable observations. Data analysis was performed expending structural equation modelling(Amos Graphics).

New PV Metrology for performance appraisal of PolySilicon PV Modules in Eastern Indian climatic Zone

An appropriate number of series-connected supercapacitors (SC) forming an SC bank has been used for the first time as the load to PV generators in course of their electrical characterization. Exhaustive estimates of standard PV parameters along with figures of merits like Fill-factor(FF) and performance ratio(PR) have yielded consistent results under naturally varying levels of insolation and ambient temperature prevalent in West Bengal of India. Regression analysis of selected PV parameters has indicated values above 0.997 for poly-Si PV modules which currently constitute the only essential building blocks for PV arrays in the Indian subcontinent. Work is in progress for the adoption of this simple, user-friendly, and easily scalable I-V plotter in PV Indian industries and field trials.

Adoption of smart and sustainable manufacturing practices: An exploratory study of Indian manufacturing companies

Technological advancements and volatile customer demand over the globe have forced manufacturing industries to adopt smart and sustainable manufacturing practices. Now the industries are moving towards the Industry 4.0 to satisfy the mass customization demands as well as to create sustainable value creation. Indian industries are considered as one of major manufacturing hub for the automobile components in world and plays an important role in development of Indian economy. However, the adoption level of Smart manufacturing practices in India is limited due to technological, economical and other challenges. Industries are still struggling with the adoption of smart and sustainable manufacturing practices in the developing economies like India. Therefore, this study aims to find the relationship between sustainable and smart manufacturing practices in the emerging economies. In the present study we have used the hypothesis modelling approach to link the manufacturing competitiveness and top management commitment with the sustainable and smart manufacturing practices. The data is collected with the help of questionnaire survey from the Indian manufacturing industries. Further, Structural equation modelling approach (SEM) is used. The results of this study highlights how manufacturing industries can adopt the smart and sustainable manufacturing practices in the developing economies like India.

Impact of Increasing Social Resources on Work Engagement and Affective Organizational Commitment: The Mediating Role of Person–Job Fit

The association between job crafting and work engagement (WE) has not been much explored in the Indian context. To address this, the current study was undertaken on a group of knowledge workforce from Indian industries. Data were collected from 297 respondents that included junior-, mid- and senior-level employees. It was found that seeking social resources predicts WE as well as organizational commitment amongst the Indian knowledge workers via person–job fit. The study contributes to the literature by exploring the relationship between proactively seeking social resources that shape relationships at work and achieves WE, furthering organizational commitment. It helps reaffirm the independent nature of the job crafting dimension in a collectivistic society. Supervisors can cultivate proactive crafting in establishments to boost and promote an engaged workforce. Bearing in mind the inferences Human Resource Development (HRD) managers ought to make optimum use of human assets by nurturing constructive psychological states and leveraging individual proactivity at work. Limitations and future directions have been discussed.