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Sustainability performances (SPs) are the most crucial performances for an organisation in today's world, and they can be measured by economic, social, and environmental metrics. Previous research has not been clear on the role of total productive maintenance (TPM) in the context of sustainability, which motivates the authors to investigate the relationship between TPM and various SPs of the manufacturing firm. Therefore, current research investigates the relationship between TPM and the overall sustainability of the manufacturing firm from the perspective of resource-based view (RBV) theory.

The current study proposed, tested and validated a conceptual framework using partial least squares structural equation modelling (PLS-SEM). A total of 326 responses were received to validate the conceptual framework in smartsPLS 3.0 software.

The research outcomes indicate that TPM considerably impacts a manufacturing firm's economic, environmental and social performance.

This research demonstrates that outstanding shop floor behaviour, such as TPM, can become an important asset to offer competitive advantages in a manufacturing firm. Similarly, TPM might serve as a roadmap for leveraging overall sustainability for manufacturing companies. The study indicates the establishment of a sustainability-oriented training protocol while practising TPM.

No past investigation indicates that a shop floor activity like TPM could be used as an input to offer sustainability in a single index for a manufacturing firm from the perception of RBV theory.

During the past decade, the necessity to integrate manufacturing and sustainability has increased mainly to reduce the adverse effect on the manufacturing industry, transforming traditional manufacturing into smart manufacturing by adopting the latest manufacturing technology as part of the Industry 4.0 revolution. Smart manufacturing has piqued the interest of both academics and industry. Manufacturing is a foundation of products and services required for human health, safety, and well-being in modern society and from an organizational standpoint. This paper uses bibliometric analysis better to understand the relationship between smart manufacturing and sustainability scholarship and provide an up-to-date account of current industry practices.

This paper used the bibliometric analysis method to analyze and draw conclusions from 839 articles retrieved from the Scopus database from 1994 to February 2022. The methodology is divided into four steps: data collection, analysis, visualization, and interpretation. The current study aims to comprehend smart manufacturing and sustainability scholarship using the bibliometric R-package and VOSviewer software.

The study provides fascinating insights that may assist scholars, industry professionals, and top management in conceptualizing smart manufacturing and sustainability in their organizations. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 317 journals in 2021 with an increasing publication annual growth rate of 21.9%. The United Kingdom, India, the United States of America, Italy, France, Brazil and China were the most productive countries in terms of the total number of publications. Technological Forecasting and Social Change, Journal of Cleaner Production, International Journal of Production Research, Production Planning and Control, Business Strategy and the Environment Technology in Society, and Benchmarking: An International Journal emerged as the top outlets.

The research in the area of smart manufacturing and sustainability is underpinned by this study, which aims to understand the trends in this field over the last two decades in terms of prolific authors, most influential journals, key themes, and the field's intellectual and social structure. However, according to the research, this field is still in its early stages of development. As a result, a more in-depth analysis is required to aid in the development of a better understanding of this new field.

The paper focuses on integrating smart manufacturing and sustainability through increased interest from 2015 onwards through the literature review. Specific policies should be formulated to improve the manufacturing sector's competence. Furthermore, these findings can guide researchers who want to delve deeper into smart manufacturing and sustainability.

The integration of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) is an emerging model, and the global pressure of various stakeholders raises scepticism of any emerging model towards providing sustainability. Therefore, this research aims to identify and rank the potential significant drivers of an integrated model of I4.0 and TPM to guide manufacturing enterprises towards sustainability.

This research follows a four-phase methodology including literature review and expert opinion to select the sustainability indicators and I4.0-integrated TPM key drivers, followed by employing the analytic hierarchy process approach for weight determination of sustainability indicators. The research then deploys the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prioritise the I4.0-integrated TPM key drivers based on their effect on various sustainability indicators. Finally, a sensitivity analysis is conducted to check the robustness of the TOPSIS.

The findings establish the top five most influential key drivers of an I4.0-integrated TPM system, which include top management support, formal I4.0 adoption program, mid-management involvement and support, solid TPM baseline knowledge and high engagement of the production team. These top drives can lead manufacturing firms towards sustainability.

The digitalisation of shop floor practices, such as TPM, could be adapted by shop floor managers and policymakers of manufacturing companies to deliver sustainability-oriented outcomes. In addition, this research may aid decision-makers in the manufacturing sector in identifying the most important drivers of I4.0 and TPM, which will assist them in more effectively implementing an integrated system of I4.0 and TPM to practice sustainability. The scope of TPM applicability is wide, and the current research is limited to manufacturing companies. Therefore, there is a huge scope for developing and testing the integrated system of I4.0 and TPM in other industrial settings, such as the textile, food and aerospace industries.

This research makes a first-of-its-kind effort to examine how an I4.0-integrated TPM model affects manufacturing companies' sustainability and how such effects might be maximised.

This paper aims to propose a stepwise method to improve the sustainability of manufacturing processes.

The proposed approach is based on an extensive literature review and research around the environmental, economic and social pillars of sustainability in manufacturing firms. Considering the lean approach, the manufacturing processes are mapped in a value stream and analyzed through the extensive identified sustainability criteria.

The findings reveal the consumption and waste of natural and nonrenewable resources, through going beyond the existing boundaries and focusing on relevant derived production pieces and tracing to their origins. The findings also present the effect of the time value of money on sustainability by using the cost–time profile as a sustainability criterion. This research finds out the employees’ impacts on sustainability improvement through an effective focus on technical, cultural and personal aspects.

The research outcomes provide operations managers and decision-makers in the field of sustainability with a practical platform to comprehend and assess the factors contributing to the manufacturing process sustainability and to plan relevant corrective actions accordingly.

The extended view of sustainability criteria in this research as well as its visual-analytical approach will help practitioners to assess and improve sustainability in their operations in a more holistic way.

The study aims to identify the extent to which industry 4.0 (IR4.0) adoption impacts the sustainable manufacturing (SM) performance of the manufacturing industry, focusing on the comparative analysis between developed and developing economies amid coronavirus disease 2019 (COVID-19) pandemic.

The study proposes a conceptual model formed on seminal theories and literature using the cross-sectional design. For data collection, a purposive sampling method is used where 154 Malaysian (developing) and Australian (developed) manufacturing firms' data were collected. Partial least square-based structural equation modeling is employed to test the hypothesis and proposed research model.

This study finds that adoption of IR4.0 technologies does not directly influence the sustainability performance of the manufacturing industry, but rather the trajectories of SM (efficiency, flexibility, automation and big data and granularity) fully mediate the relationship between IR4.0 adoption and sustainability manufacturing performance. The comparative analysis between Australia and Malaysia shows no significant difference in the relationships or the framework; hence, the differences between developed and developing countries are not significant in this mechanism.

The study contributes to the insights of the managers regarding COVID-19 and the implementation of IR4.0 in the SM domain. The policymakers would further get better insights since the study pays attention to sustainable development goal, industry, innovation, infrastructure and responsible production.

Sustainable manufacturing is gaining prominence in light of the rising environmental and social concerns worldwide. One major task to enhance manufacturing sustainability is assessment of the current state of sustainability of a manufacturing firm. This paper reviews the existing sustainability assessment approaches applicable for manufacturing firms and observes that most of these approaches are not easy to apply for reasons such as high amount of skill, data and time requirement. Towards bridging this gap, this study proposes a sustainability assessment approach.

The assessment approach proposed in the paper uses a predefined list of potential sustainable manufacturing practices (SMPs) covering the primary and support activity domains of a manufacturing firm's value chain. It proposes a method to assess the extent of implementation of SMPs and identify associated drivers and barriers for each SMP area/category along the value chain of a firm as well as at overall firm level. A case study from textile industry is presented to demonstrate the utility of this approach.

The sustainability assessment approach adopted in this study uses less time and skills as well as ensures comprehensive coverage of SMPs. It provided valuable information to the management of the case company on how sustainable their practices are and why?

The study highlights the importance of sustainability assessment at SMP area/category level as well as explores practice area/category specific drivers and barriers. It provides a useful approach for a quick assessment of the current state of sustainability in manufacturing firms.

Given advances in digitalization and automation, manufacturing employees are facing the increasing threat of being substituted by smart machines and robots. The purpose of this paper is to propose a framework that explains as well as can be used to study career sustainability of workers in the fast-paced, continuously changing manufacturing landscape.

After tracing the evolution of manufacturing sector in China, the authors review existing literature on career sustainability and then propose a new framework. The authors then describe two fictive cases and illustrate the applicability of the four-dimensional framework in helping understand the lived experience of objects in these fictive cases.

The proposed dynamic framework of career sustainability constituted by four intricately interconnected dimensions (i.e. resourceful, flexible, renewable and integrative) is useful in understanding the fictive cases and hopefully will guide future research on career sustainability in manufacturing or similarly fast-past, dynamically changing environments.

The framework of career sustainability facilitates manufacturing employees to accurately evaluate the sustainability of their careers, whereby they can choose to continue, shift or re-orient their career paths during the transitional period toward digitalized manufacturing; it also enlightens employers to think about how to enhance the job security and engagement of workers by helping prolong their careers and re-design their career plans.

This paper proposes a novel yet context-specific framework to understand and study sustainability of careers. In addition to helping us understand how careers evolve during transformational periods, it also offers fruitful avenues for further research.

The purpose of this study is to investigate whether the adoption of Lean manufacturing (LM) contributes towards the sustainability performance of small and medium-sized enterprises (SMEs) in India.

The study is based on a multi-case study approach conducted among five independent Indian manufacturing SMEs. The information from direct observation, structured questionnaire interviews with key persons and archival data are used to analyse and cross-check the relationship. An assessment tool, developed using the variables collected from the previous works, is used to measure the relationship.

The study provides a solid basis for the contribution and positive influence of LM towards the sustainability performance in SMEs. The manufacturing SMEs that have adopted Lean principles and practices are benefited more towards their economic, environmental and social sustainability performances, irrespective of their operational characteristics such as firm size and final product.

This is a limited study conducted in a particular state in India by selecting only five independent case companies with divergent operational characteristics such as size of the firms, product and manufacturing process.

The study contributes by authorising the contribution of LM towards sustainability performance of SMEs. The findings will inspire academic community and industrial practitioners to expend for the adoption of Lean principles looking forward the sustainable development of the SMEs.

The purposes of this research article are as follows: to explore the understanding of the Industry 4.0 (I4.0) concept among Indian manufacturing industries, to determine the motivating factors for I4.0 implementation, to identify I4.0 enabling technologies which are used by Indian manufacturing industries and assess their sustainability, to explore the impact of above identified enabling technologies on sustainability pillars, to determine how Indian manufacturing industries interpret the concept of I4.0 and to develop a road map for I4.0 implementation and sustainability.

To perform this research work, a dual research methodology was adopted. Questionnaires were sent to 16 Indian manufacturing industries, and expert interviews were conducted with seven experts who have been practicing the I4.0 concept since the last three years in their business. Also, a sustainability measurement tool was developed to measure the sustainability of the used I4.0 enabling technologies.

In this research article, it is found that smart sensors and robot arms have high sustainability, whereas cyber physical systems (CPSs) and big data analytics have low sustainability. During an expert interview, it has been found that adoption of the I4.0 concept in Indian manufacturing industries is creating job loss fear in employees. Also, it is found that Indian workers must be trained to adopt and sustain I4.0 enabling technologies.

The sustainability of I4.0 enabling technologies in Indian manufacturing industries was indicated by analyzing responses received through questionnaires and expert interviews. There are other measures of sustainability which are beyond this study. Further studies are expected to fill the gap.

The authors have explored reasons for low sustainability of I4.0 enabling technologies in Indian manufacturing industries, suggested a road map for its implementation and sustainability and identified the relationship between different parameters (such as job loss, job creation, workers’ qualification and business profit) and I4.0 sustainability, therefore helping Indian organizations to develop sustainable manufacturing systems based on the I4.0 concept.

This research article gives an idea about sustainability of I4.0 enabling technologies in Indian manufacturing industries.

The purpose of this paper is to develop a framework and key performance indicators (KPIs) to assess the sustainability of the manufacturing organizations along the integrated supply chain.

A systematic literature review of existing peer-reviewed articles has been carried out to understand the strengths and weaknesses of current frameworks. A sustainability assessment framework has been proposed for the manufacturing sector. KPIs to assess sustainability performance of manufacturing organizations are identified. An empirical study is carried out for the cement industry to test the proposed framework and KPIs.

The existing frameworks on sustainability assessment lacks an integrated assessment consisting product life cycle, resources, critical factors (product, process and policy), KPIs and their interrelationship with sustainability dimensions. In total, 121 KPIs are identified for sustainability assessment of manufacturing organizations. The empirical study of the Indian cement industry identifies 52 KPIs (17 social, 15 economic and 20 environmental), which are classified into 13 factors using exploratory factor analysis.

The proposed framework is tested for the cement sector. More studies are required to validate and refine the framework to make it generalized for the manufacturing sector.

This study has developed for the first time a close interrelation among life cycle engineering, resources, critical factors, KPIs and sustainability dimensions.