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1 – 10 of 43Jaivignesh Jayakumar, Jayakrishna K., Vimal K.E.K. and Sawarni Hasibuan
The purpose of this paper is to develop and optimize a mathematical model based on a framework that integrates key concepts related to a circular economy (CE) and sharing…
Abstract
Purpose
The purpose of this paper is to develop and optimize a mathematical model based on a framework that integrates key concepts related to a circular economy (CE) and sharing economy (SE) for a leading manufacturer of laptops in India.
Design/methodology/approach
This study mathematically modelled the integration of sharing networks in a circular production system. This is done through an optimization package that deploys a multi-objective mixed-integer linear programming model.
Findings
This study evaluated the economic benefit and the environmental impact associated with the aforementioned integration in a production system. This study illustrated the inverse relationship between economic benefit and environmental impact and provided a set of solutions that can be used according to the case organizations goals, capacities and logistical capabilities.
Research limitations/implications
This study will aid similarly structured companies in adopting this approach to integrate sustainable practices in their production system. It also enumerated Industry 4.0 (I4.0) use-cases that can be used to effectively implement this mathematical model. Further research can be conducted using multiple companies in an inter-dependent network to maximize synergy.
Practical implications
This study will help to better understand the role of sharing networks in the circular economy model especially in the consumer electronics industry.
Originality/value
This study is the first of its kind to mathematically model the integration of aspects related to SE and CE. It also validates the aforementioned model using a numerical case-study and offers decision-support to key executives within the case organization.
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Vimal K.E.K., Jayakrishna K., Thaha Ameen, Syed Shoaib Afridhi, Varadharajan Vasudevan and Raja Sreedharan V.
Industrial symbiosis (IS) is basically a synergistic association between two or more industries or businesses wherein the waste or by-product of one industry becomes the…
Abstract
Purpose
Industrial symbiosis (IS) is basically a synergistic association between two or more industries or businesses wherein the waste or by-product of one industry becomes the raw material or immediate material of another industry. IS is believed to bring in significant benefits to the organizations. Thus, the purpose of this paper is to evaluate the competitiveness attained through IS.
Design/methodology/approach
Analytic hierarchy process was adopted to analyze the various organizational competitiveness of IS implementation. The conceptual model was developed to understand the interrelationship between 14 outcomes and 5 organizational competitiveness which are identified from the literature review. The attainment of these five organizational competitiveness was evaluated by computing the global priority score of the outcomes.
Findings
The global priority score suggests that the organizational collaboration (0.19) is the important output. Further, collective learning and growth (44 percent) have been identified as the important competitiveness attained through the implementation of IS.
Practical implications
The relationship matrix developed can be used by the practicing managers/researchers to understand the various interactions. Thus, systematic decision making and guidance for future implementation studies will be ensured.
Originality/value
In the past, few authors discussed the conceptualization of IS; however, the impact of IS on the organizational performance was not extensively studied. Therefore, a conceptual model was proposed to analyze the attainment of various competitiveness through the participation of industrial symbiosis network. Further, based on the computed scores, the relationship matrix developed between outcomes and organizational competitiveness is one of the significant contributions of this work.
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Aatish Kumar Mishra, Ayush Sharma, Moraldeepsingh Sachdeo and Jayakrishna K.
The main purpose of this paper is to analyze the current state of a bonnet-manufacturing industry and to optimize the process by designing a future state map using…
Abstract
Purpose
The main purpose of this paper is to analyze the current state of a bonnet-manufacturing industry and to optimize the process by designing a future state map using simulation approach.
Design/methodology/approach
The case study approach has been proposed to highlight the applicability of value stream mapping (VSM) in an Indian bonnet manufacturing organization. The methodology used relies on formulation of VSM being the main tool used to identify the opportunities for classifying and eliminating bottlenecks with the help of various lean techniques. A contrast of present and past scenarios is highlighted to underscore the importance of using VSM with ARENA simulation.
Findings
Application of the proposed simulation approach has helped the organization reduce the cycle time significantly by 30 per cent over the entire production time. The average number of work-in-progress pieces has also decreased by about ten. In addition, enhancements have been seen with respect to ecological parameters, e.g. carbon footprint has been reduced to 83.7 percent across the process.
Research limitations/implications
The proposed approach of using a simulation-based VSM helps in reducing the time involved in traditional VSM method. This approach is also easy to implement at any organizational level.
Practical implications
It is believed that this paper will aid not just industrialists but also academic professionals to appreciate the role of simulation using ARENA in helping them understand how to attack the various problems faced by industries. The results of the study indicate that by applying this methodology, there will be a reduction not only in cost but also in environmental impacts.
Originality/value
The paper incorporates a real case study, which shows application of VSM for implementing lean principles in a bonnet-manufacturing industry. Break-even analysis presented fills the gap which previous literatures have been missing.
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K. Jayakrishna, R. Jeya Girubha and S. Vinodh
The purpose of this paper is to present the comparison of sustainability characteristics of conventional and computer numerical control (CNC) turning process. The…
Abstract
Purpose
The purpose of this paper is to present the comparison of sustainability characteristics of conventional and computer numerical control (CNC) turning process. The sustainability performance measures of both the processes were also being evaluated.
Design/methodology/approach
The study discusses the achievement of sustainability characteristics at the manufacturing process level of widely used industrial process, mechanical machining. Sustainable development includes improvements in material, product design and manufacturing process orientations. The present study narrates the sustainability characteristics at the process level.
Findings
The results confirm that the overall sustainability characteristics of CNC machining are potentially high considering the economic and environmental aspects of the machining parameters. A detailed life cycle analysis for both conventional and CNC turning was performed to evaluate the environmental impact and benefits.
Research limitations/implications
The study contributed in the paper is limited to process dimension of sustainability. The economic and environmental aspects of machining were also being discussed.
Practical implications
The conduct of the study enabled the comparison of sustainability characteristics of conventional and CNC-turning processes. The approach could also be expanded for the comparison of sustainability characteristics of other manufacturing processes also.
Originality/value
The study is an attempt to explore the process sustainability by the comparison of environmental impact of making processes. Hence, the contributions are original.
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K.E.K. Vimal, Sonu Rajak and Jayakrishna Kandasamy
The purpose of this paper is to propose a mathematical model for the design of a circular production system (CPS) for an Indian manufacturing organization participating in…
Abstract
Purpose
The purpose of this paper is to propose a mathematical model for the design of a circular production system (CPS) for an Indian manufacturing organization participating in a symbiotic network.
Design/methodology/approach
A multi-objective mixed integer linear programming is used to model the network for quantifying the economic benefits. The data set collected from the case organization is used. The GAMS optimization package is used to simulate the model.
Findings
The model is able to compute the economic benefit achieved through circular operations in the case organization. The flow of different items through the network is also obtained.
Research limitations/implications
The data set of the single organization in the symbiotic network is used to validate the proposed mathematical model. Further research can be done considering the all the organizations in the considered symbiotic network.
Practical implications
This paper will help the authors to better understand the role of sustainable supply chains in a circular economy model especially in energy and materials intensive industries.
Originality/value
This study has uniquely utilized a multi-objective mixed-integer linear programming approach for the analysis of variables in CPSs and the corresponding economic benefits.
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The current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the…
Abstract
Purpose
The current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.
Design/methodology/approach
In this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.
Findings
The study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.
Research limitations/implications
In this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.
Originality/value
The present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.
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Jayakrishna K, Vimal K.E.K and Sekar Vinodh
– The purpose of this paper is to report a study in which analytical network process (ANP) was used for selecting the best concept from sustainability view point.
Abstract
Purpose
The purpose of this paper is to report a study in which analytical network process (ANP) was used for selecting the best concept from sustainability view point.
Design/methodology/approach
The concept selection in the sustainability viewpoint is a typical multi-criteria decision-making (MCDM) problem involving complex interrelationship among the decision criteria. The formulated MCDM problem of sustainable concept selection was solved using ANP. The sensitivity analysis was also being conducted to validate the results.
Findings
The interrelationship among the decision criteria was analyzed using ANP, and the best alternative was selected based on the computation of Product Sustainability Weighted Index (PSWI). The selected best alternative was subjected to implementation in the case organization.
Research limitations/implications
The study deals with the formulation of sustainable concept selection as a typical MCDM problem and providing solutions using ANP. The best alternative “weight reduction” was subjected to implementation. The developed MCDM problem also could be solved using hybrid MCDM methods.
Practical implications
The study focuses on selecting the best sustainability concept for an Indian automotive component manufacturing organization. Hence, the inferences being derived from the study are practically feasible and contribute toward the improvement of product sustainability.
Originality/value
The formulation of a hierarchical model for sustainable concept selection as MCDM problem and generating solution using ANP is the contribution of the authors.
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The primary objective of the current study is to examine the role of leadership styles and Industry 4.0 in organization performance. In addition, the direct and indirect…
Abstract
The primary objective of the current study is to examine the role of leadership styles and Industry 4.0 in organization performance. In addition, the direct and indirect effect of job satisfaction, competitive advantage and business sustainability is also examined. For this purpose, a cross-sectional research design was selected. Population of the study were based on the manufacturing Small and Medium Enterprises (SMEs) of Thailand. Employees of these SMEs were selected to collect the data. Therefore, respondents of the study were employees of Thai manufacturing SMEs. Various close ended questions related to the concerned study were asked on a five-point Likert scale. Furthermore, this study analyzed the data with the help of Partial Least Square-Structural Equation Modeling (PLS-SEM). Results of the study revealed that both leadership styles and Industry 4.0 have significant role in organization performance. Leadership styles and Industry 4.0 influence positively on job satisfaction and competitive advantage, respectively. Further, job satisfaction and competitive advantage influence positively on business sustainability. Finally, business sustainability significantly improves organization performance. Therefore, the current study has vital importance for practitioners to enhance organization performance through leadership styles and Industry 4.0.
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This study research contributes in fulfilling the gap by carrying out a systematic literature review (SLR) of contemporary research studies in closed-loop supply chain…
Abstract
Purpose
This study research contributes in fulfilling the gap by carrying out a systematic literature review (SLR) of contemporary research studies in closed-loop supply chain (CLSC). To the best of the author’s knowledge, an SLR rooted in bibliometric analysis has not been carried focusing on advent developments in CLSC. SLR employs scientific methodologies to select papers from standard databases. The SLR using advanced bibliometric and network analysis enables unveiling the key features of the contemporary literature.
Design/methodology/approach
The author has analyzed over 333 documents published from 2008 and onward. Using the contemporary tools from bibliometric analysis tools, the author presented an exploratory analysis. A network analysis is utilized to visualize literature and create clusters for the cocited research studies, keywords and publication sources. A detailed multivariate analysis of most influential works published based top 100 articles via a cocitation matrix is done. The multivariate analysis used k-means clustering in which optimal number of clusters are estimated. The analysis is further extended by using a factor analysis, which enables determining the most influential clusters in the k-means clustering analysis.
Findings
The SLR using a bibliometric and network analysis enables unveiling the key features of the contemporary literature in CLSC. The author examined published research for influential authors, sources, region, among other key aspects. Network analysis enabled visualizing the clusters of cocited research studies, cowords and publication sources. Cluster analysis of cocited research studies is further explored using k-means clustering. Factor analysis extends findings by identifying most contributing grouping of research areas within CLSC research. Each clustering technique disclosed a unique grouping structure.
Originality/value
CLSC has received considerable attention, and its core areas start with focusing on reverse logistics concepts relating reuse, recycling, remanufacturing, among others. Contemporarily, the studies have enhanced reverse logistics core functionalities interfaced with the other interesting avenues related to CO2 emission reduction, greening and environmental protection, sustainability, product design and governmental policies. Earlier studies have presented a literature review of CLSC; however, these reviews are commonly conducted in the traditional manner where the authors select papers based on their area of expertise, interest and experience. As such these reviews fall short in utilizing the advanced tools from bibliometric analysis.
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Sekar Vinodh and K. Jayakrishna
– The purpose of this paper is to propose a new framework to evaluate the sustainability of product at design and development phase in the modern manufacturing system.
Abstract
Purpose
The purpose of this paper is to propose a new framework to evaluate the sustainability of product at design and development phase in the modern manufacturing system.
Design/methodology/approach
A detailed examination over the literatures reveals that the current frameworks that are available to measure overall product sustainability do not effectively address all aspects of sustainability to full extent. An integrated model encompassing the approaches such as environmentally conscious quality function deployment (ECQFD), life cycle assessment (LCA) and sustainability analysis has been proposed.
Findings
The eco-friendly option as well as the component with high remanufacturing feasibility has been found. Also, the environmental impact of the component has been found.
Research limitations/implications
The integrated model has been test implemented in a single manufacturing organisation. In future, more number of studies could be conducted to ensure the practical feasibility.
Practical implications
The integrated model has been applied to an Indian organization manufacturing automotive assemblies. The case study also addresses the re-manufacturing feasibility of the product with validating the results at each step.
Originality/value
The study is the outcome of deploying integrated sustainability framework model in a manufacturing organisation. Hence, the contributions and findings are original.
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