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The purpose of this paper is to present an overview of the conceptual framework related to the Lean and Green practices, paradigms, future prospects and problems, indicating points of convergence and divergence between them.

Based on this premise, through vast literature systematization, the authors sought to categorize studies in order to consolidate constructs, reinforcing aspects regarding the positive and negative approaches and pointing out the gaps in the current state of the art. Broad literature systematization was carried out; the authors found 107 articles published between 2014 and 2018, separated into 10 categories.

The main constructs confirmed are the positive approximation of the Lean and Green union, evidenced by studies premised on the independent variable category demonstrating that their union influences other environmental performance variables.

The present research is a systematization of the literature, so its results have to be confirmed by other studies.

The study supports the Lean and Green theme, confirming converging issues between the two areas and launching new topics for future research.

The study contributed to the environmental theme by confirming synergies of the Lean and Green union and presenting new research themes.

To assert that Lean and Green systems union is sustainable, with regard to the tripod of sustainability, more studies on the social category are necessary.

Sustainable supply chain management (SSCM) is a relatively new sub-field of supply chain management (SCM). The performance of SSCM is based on the triple bottom line approach encompassing people-planet-profit, hence being defined not in only in social and environmental terms, but also the economic. The purpose of this paper is to develop an integrated study which uses antecedent-practices-performance principles in order to determine the drivers of SSCM practices, and the impact of these practices on sustainable supply chain performance. The importance of the study lies in the fact that the Indian Government is making significant efforts to boost the manufacturing sector, and sustainability is among the significant imperatives for Indian manufacturing to be competitive globally.

A conceptual model based on the antecedents-practices-performance principles was developed, and included six constructs identified from the literature: the drivers being the motivators of sustainability, lean management (LM) and supply management (SM), the practices were the environmental and social practices in the supply chain and, finally, the sustainable supply chain performance; eight hypotheses were conceived in the model development process. The survey instrument was conceptualised from an in-depth study of literature and was employed to conduct a survey of 211 operations and supply chain managers and functional heads from the Indian manufacturing industry. The scales were validated by employing the confirmatory factor analysis, followed by structural equation modelling to develop the structural relationships between the constructs using Amos 20.0.

The results of the SEM suggest that the antecedents, i.e. motivators, LM and SM, have a significant bearing on environmental and social practices in the SCM; these practices, in turn, also have a positive relationship with SSCM performance (except the relationship between LM and social practices in SCM) with acceptable goodness-of-fit measures. Thus out of the eight hypotheses, seven can be said to statistically significant.

In addition to the motivators of sustainability, the study based on extant literature has considered LM and SM among the drivers of sustainability in SCM. The study has also identified that in earlier studies, the focus has been on environmental practices, and this integrated study has also included social practices in the supply chain.

This study suggests that sustainability performance may also be realised through lean and SM principles; an integrated perspective has been adopted with the consideration of both environmental and social practices. Further, the proposed model represents a novel integration of literature from diverse domains such as environmental management, business ethics and corporate social responsibility as well as performance management.

Molecularly imprinted polymers (MIPs) have aroused focus in medicinal chemistry in recent decades, especially for biomedical applications. Considering the exceptional abilities to immobilize any guest of medical interest (antibodies, enzymes, etc.), MIPs is attractive to substantial research efforts in complementing the quest of biomimetic recognition systems. This study aims to review the key-concepts of molecular imprinting, particularly emphasizes on the conformational adaptability of MIPs beyond the usual description of molecular recognition. The optimal morphological integrity was also outlined in this review to acknowledge the successful sensing activities by MIPs.

This review highlighted the fundamental mechanisms and underlying challenges of MIPs from the preparation stage to sensor applications. The progress of electrochemical and optical sensing using molecularly imprinted assays has also been furnished, with the evolvement of molecular imprinting as a research hotspot.

The lack of standard synthesis protocol has brought about an intriguing open question in the selection of building blocks that are biocompatible to the imprint species of medical interest. Thus, in this paper, the shortcomings associated with the applications of MIPs in electrochemical and optical sensing were addressed using the existing literature besides pointing out possible solutions. Future perspectives in the vast development of MIPs also been postulated in this paper.

The present review intends to furnish the underlying mechanisms of MIPs in biomedical diagnostics, with the aim in electrochemical and optical sensing while hypothesizing on future possibilities.

Extraction of leaf region from the plant leaf images is a prerequisite process for species recognition, disease detection and classification and so on, which are required for crop management. Several approaches were developed to implement the process of leaf region segmentation from the background. However, most of the methods were applied to the images taken under laboratory setups or plain background, but the application of leaf segmentation methods is vital to be used on real-time cultivation field images that contain complex backgrounds. So far, the efficient method that automatically segments leaf region from the complex background exclusively for black gram plant leaf images has not been developed.

Extracting leaf regions from the complex background is cumbersome, and the proposed PLRSNet (Plant Leaf Region Segmentation Net) is one of the solutions to this problem. In this paper, a customized deep network is designed and applied to extract leaf regions from the images taken from cultivation fields.

The proposed PLRSNet compared with the state-of-the-art methods and the experimental results evident that proposed PLRSNet yields 96.9% of Similarity Index/Dice, 94.2% of Jaccard/IoU, 98.55% of Correct Detection Ratio, Total Segmentation Error of 0.059 and Average Surface Distance of 3.037, representing a significant improvement over existing methods particularly taking into account of cultivation field images.

In this work, a customized deep learning network is designed for segmenting plant leaf region under complex background and named it as a PLRSNet.

The purpose of this study is to explore the mediation effect of volatile economic conditions on performance benefits of successful kean manufacturing implementation (LMI). The mediating factor of economic volatility (EV) is constructed based on four macroeconomic dimensions – supplier uncertainty, market demand fluctuations, governmental policy changes and peer competition.

An attempt is made to build an exhaustive list of the internal operational manifests grouped into one human and three technical input factors. Similarly the benefits accrued are collated under two performance measures – customer satisfaction (CS) and organizational goal satisfaction (OGS). Based on data from the Indian manufacturing sector, structural equation modelling (SEM) and ordinary least square (OLS) analyses are carried out to validate the proposed model.

Results of the structural model validate the first six hypotheses posited in the model. Results of OLS further reveal the mediation effect of EV having negative impact on LMI–CS and LMI–OGS nexus.

This research offers a fair understanding of the internal operational lean factors and the effect of volatile macroeconomic conditions on lean benefits. The structural model will aid the academicians and lean implementers comprehend the dimensional structure underlying the lean practices and beliefs. This work further helps to understand the moderation effect of environmental complexity on the output measures of LMI in the Indian manufacturing sector.

This work is one of the very first empirical analyses of lean performance under contingent economic conditions. The paper presents a valuable recommendation to practitioners for considering the dynamism of external economic environment instead of simply adopting standalone internal lean parameters, if satisfactory levels of performance in terms of CS and OGS are to be achieved.

This study explains the importance of performance measures and identifies the specific performance measures of sustainable lean manufacturing (SLM) for automobile industries. Awareness towards sustainability and continuous improvement approaches demand monitoring of the sustainable lean impact on organization/industry, and hence, identifying the specific performance metrics is of peak importance.

In this study, specific metrics for social, economic and environmental performance are identified from a systematic literature review of 82 significantly related journal articles. The importance of the identified metrics is assessed with the help of questionnaire responses from a group of industrial experts.

Performance indicators are statistically analyzed category wise and assessed. The key metrics are summarized based on the survey data followed by a discussion with industrial experts. From this study, performance measures have been identified and validated through hypothesis testing for Indian automobile industries. Certification of IATF16949 implementation found an important vertical for SLM implementation. In this study, SLM implementation initiatives are discussed, and reward scheme for outstanding performers are identified as important initiatives are followed by small improvement culture.

The proposed discussion of this study is useful for industrialist and researchers, as SLM performance measures are well explained for Indian automobile industries. In this study, future research direction is also explained related to other industries. These summarized performance measures will help to maintain SLM in industries.

This paper presents the original literature review based on the study of SLM, as no extensive study is available where SLM performance measure explained for automobile industries. Key initiatives and vertical of SLM are well explained for Indian automobile industries. This study proposed a complete framework for SLM implementation considering competitive manufacturing targets.

The purpose of this paper is to examine the relationship between environmental management practices (EMP) and competitive operational performance with respect to reduced cost, improved quality, improved flexibility and improved delivery as well as overall environmental performance, of firms, using data from a developing country.

The study employed a survey approach with responses from 164 informants from different industries and used partial least squares structural equation modeling to examine the relationship between EMP and competitive operational performance and their overall impact on the environmental performance of firms.

The results indicate that EMP by firms have a significant positive effect on firms’ competitive operational performance. Again, firms’ competitive operational performance has a partial positive effect on the overall environmental performance. It was also realized that the EMP initiated by a firm have a direct positive impact on the overall environmental performance of the firm.

There is the need for organizations to take steps to plan and implement EMP since it is likely to enhance their competitive operational performance as well as their overall environmental performance.

The findings demonstrate the impact of EMP on competitive operational performance as well as on the overall environmental performance of firms. This is important as firms struggle with balancing investments in those practices against the perceived benefits that might be obtained from the practices.

The work provides insights and adds to the literature in the area of EMP and firm performance by providing evidence from a developing country environment. This study is among the few that have investigated the impact of EMP on firm performance in developing country environments.

The purpose of this study is to determine the current status of Sustainable Lean Six Sigma (SLSS) practices execution in the industries by identifying the research gaps and also methodologies that are applied by different researchers and practitioners.

To find the current status of SLSS practices all over world, the literature review of the articles available through SCOPUS data base is given in different categories such as a country-wise and year-wise publication of the articles, journal-wise publication of articles, case study implementation focus in industry and data analysis techniques used by the researchers.

The different methodologies applied by the researchers and practitioners have been explained and the gaps for further research are identified. The extensive review of articles of last 18 years revealed that there are various opportunities such as quantitative study, framework modeling on the SLSS, and implementation of developed models in different industries, etc. which are required to be explored.

In the present study, a review of 129 articles for the time span of January 2000 to February 2018 is considered. The SCOPUS database was used for selecting the articles for review. A total of 129 articles were considered for the literature review, and the case study implementation in different industries with the focused areas such as cost reduction, defect reduction, economic, environmental and social aspects was explained.