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The purpose of this paper is to examine the multidimensionality of total productive maintenance (TPM) and its relationship with manufacturing performance improvement in the Malaysian manufacturing sector. Specifically, this study evaluates the contribution of each TPM success factors in improving manufacturing performance.

Data from 89 employees who participated in the survey were used to test the proposed research framework. A structured questionnaire adopted from Ahuja and Khamba (2006) was used to assess the Malaysian context.

The analytical results reveal that traditional maintenance initiatives and TPM implementation initiatives significantly affect manufacturing performance, but not top management leadership and maintenance organisation. Top management roles and commitment are critical in the early stage to determine the master plan and initiate the implementation of the whole programme. However, traditional maintenance and TPM implementation initiatives gradually enable engagement, proper planning, right execution and continuous improvement, ultimately improving the manufacturing performance indicators significantly. The findings further unveil that TPM is not sustainable in Malaysia’s manufacturing organisations in the long run.

This analysis is vital for senior managers of manufacturing organisations that have implemented TPM or are considering introducing TPM in their organisations.

This study contributes to the literature by examining beyond the introduction and stabilisation phase of TPM to provide an insight of whether TPM is sustainable in the long run.

The purpose of this paper is to investigate the relationship between total productive maintenance (TPM) practices and operational performance (OP) in soft drinks manufacturing industry, Ethiopia.

In this study acceptability and implementation of five TPM practices (i.e., dependent factors: autonomous maintenance (AUT); safety, health and environment (SHE); education and training (EDT); focused improvement; and planned maintenance (PLM)) in soft drinks manufacturing industry have been elaborated to ascertain the benefits accrued as a result of successful TPM practices (i.e., independent variables) on OP (i.e., dependent variables). A self-administered survey seven-point Likert scale questionnaire was used for primary data collection. By using simple random sampling technique a total of 100 useable responses resulted in a 66.66 per cent response rate. Descriptive (mean, standard deviation) and inferential statistics (factor analysis, correlation, simple and multiple regression analysis) analysis were performed using Statistical Package for Social Sciences (SPSS) software (version-28) to identify the relationship and effect of TPM practices on OP. Five hypotheses were developed and tested.

Results show that four of the TPM practices were positively and significantly correlated with OP. Aggregate TPM shows positive and significant correlation with OP. Four hypotheses results revealed that the AUT; SHE; EDT and PLM practices have positive and significant relationship with OP and significantly improve OP. The results also show that the TPM practices have positive and significant relationship with OP and significantly improve cost effectiveness, product quality, on-time delivery and volume flexibility.

The benefits gained by TPM practices in selected soft drinks manufacturing industry have been highlighted, that could be genuine source of motivation to other companies to go in for TPM program. This research contributes to the literature by examining the contingency of various TPM enabling factors in the context of the Ethiopian soft drinks manufacturing sector, and it, therefore, provides direction to increase the success rate of TPM implementation. Study offers academics and practitioners a better understanding of the relationship and effect of the TPM practices on the OPs. Thus, practitioners will be able to make better and more effective decisions about the implementation of TPM practices for better OP results.

The relationship between the five factors TPM practices and OP has not yet been studied or reported in the case of soft drink manufacturing industry. The questionnaire manner and items developed, factor considered in this study, sampling method, deeply statistical data analysis techniques used, soft drink manufacturing industry, developing country like Ethiopia make this study unique and revealed the gap identification in this area. The study has contributed to the TPM literature with a better understanding of the five TPM practices and their association with a soft drink manufacturing industry OP that will provide valuable knowledge to top-management of manufacturing companies, to refine their current TPM practices and subsequently improve OP.

The purpose of this paper is to examine various technological innovation influencers (TIIs) in small manufacturing firms. It introduces a study framework of technological innovation and evaluates the relevance of four TIIs to building and sustaining the competitiveness of Indian firms.

This research is based on an in-depth survey of 135 firms located in India’s Northern region. Multiple regression analysis was employed to examine the correlation between TIIs and manufacturing firm performance (MFP) for these firms.

The findings verify that entrepreneurial capability, technology infrastructure capability and government initiatives are the most important TIIs for small firms. The findings are also validated by using statistical t-test and canonical correlation analysis.

This study uses a single informant as the source of information on each firm. The study is limited to small-scale firms in the Northern region of India. Also, the study has been conducted excluding the service sector.

Recent studies have advocated various TIIs and discussed their impact on MFP. This paper examines the determinants of technological innovation in small manufacturing firms. It introduces a study framework of technological innovation and examines the relevance of four TIIs to building and sustaining the competitiveness of Indian firms.

The purpose of this paper is to identify the key enabler for total productive maintenance (TPM) implementation in Indian small and medium enterprises (SMEs) by using graph theoretic approach (GTA). There are certain enablers for TPM implementation which helps the organization to implement it successfully. It is very essential to identify the nature and impact of these key enablers.

A large number of the enablers (27) have identified for TPM implementation in Indian SMEs from the available literature, questionnaire survey and expert opinion. These TPM enablers have categorized into six major categories.

In this research work, the intensity of identifying enablers has been calculated to show their impact or influence in TPM implementation. The value of intensity of TPM enablers shows the role or impact of individual enabler in the implementation of TPM in Indian SMEs.

This study provides an easy-to-use methodology for the practical decision makers in the manufacturing industry to improve their performance by implementing TPM in Indian SMEs. A detailed methodology has prepared to identify the enablers for TPM implementation in Indian SMEs by using GTA. This study also explains that how to check the feasibility of an organization to implement TPM in Indian SMEs successfully.

TPM is an improvement concept which holds the potential to improve manufacturing organizations, but its implementation is not easy in Indian SMEs. The reason behind the unsuccessful implementation of TPM in most of the organizations is the ignorance of impact of innumerable enablers and barriers.

Green Lean concepts offer methods for managing manufacturing organizations with the goal of improving organizational performance. Green Lean practices are good options to increase the environmental and operational performance of manufacturing industries. However, there are some barriers to implement Green Lean in manufacturing industries. This paper aims to identify these barriers by reviewing the literature and analyze inter-relationships amongst selected barriers.

This paper deals with the identification of barriers to the adoption of Green Lean practices in manufacturing industries. Using the DEMATEL approach and using the insights of experts, a cause and effect relationship diagram was generated through which the effect of barriers was analyzed.

Twelve barriers were categorized in terms of cause and effect, and the interrelationships of barriers were also analyzed. Threshold value is calculated as 0.134 and the values lower than a were eliminated to obtain the digraph. “Resistance to change,” “lack of top management commitment” and “lack of training to employees” are the most prominent barriers on the basis of their prominent score.

Analysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and grey set theories. The barriers used for the analysis are not from a specific type of manufacturing industry.

The findings will help the manufacturing organizations to simplify the most important barriers, the least significant barriers and the relationships between these barriers. This Berlin knowledge will enable administrators to increase awareness of the barriers in Green Lean implementation. “The top management commitment” and “government support” are most important for the removal of barriers to Green Lean strategies.

Very few scholars have used the DEMATEL approach to examine the sequence of the barriers to Green Lean implementation. The present study attempts to incorporate the DEMATEL model to assess the sequence of barriers to the implementation of Green Lean. This study investigates the degree of influence of barriers on each other and categorizes the barriers into cause and effect groups. This study is also intended to pave the way for future research in the path of the elimination of barriers to Green Lean strategies.

This empirical study aims to explore the link between lean manufacturing practices (total quality management, just-in-time production, just-in-time purchasing, total productive/preventive maintenance), agile manufacturing, and operational and financial performance.

Data were collected from 205 Tunisian manufacturing firms, and the results were analyzed using structural equation modeling.

The results indicate that (1) lean manufacturing practices have a direct positive relationship with agile manufacturing except for just-in-time production, (2) agile manufacturing has a positive impact on operational performance and (3) lean manufacturing practices did not seem to contribute directly to operational performance. However, this relationship is significant when it is mediated through agile manufacturing.

This paper shows practitioners the importance of lean manufacturing practices to support agile manufacturing and the key role of agile manufacturing to ensure operational performance.

This paper presents an innovative approach since it studies simultaneously the three dimensions of lean manufacturing and their relationship with agile manufacturing and organizational performance.

The purpose of this paper is to review the literature on Total Productive Maintenance (TPM) and to present an overview of TPM implementation practices adopted by the manufacturing organizations. It also seeks to highlight appropriate enablers and success factors for eliminating barriers in successful TPM implementation.

The paper systematically categorizes the published literature and then analyzes and reviews it methodically.

The paper reveals the important issues in Total Productive Maintenance ranging from maintenance techniques, framework of TPM, overall equipment effectiveness (OEE), TPM implementation practices, barriers and success factors in TPM implementation, etc. The contributions of strategic TPM programmes towards improving manufacturing competencies of the organizations have also been highlighted here.

The literature on classification of Total Productive Maintenance has so far been very limited. The paper reviews a large number of papers in this field and presents the overview of various TPM implementation practices demonstrated by manufacturing organizations globally. It also highlights the approaches suggested by various researchers and practitioners and critically evaluates the reasons behind failure of TPM programmes in the organizations. Further, the enablers and success factors for TPM implementation have also been highlighted for ensuring smooth and effective TPM implementation in the organizations.

The paper contains a comprehensive listing of publications on the field in question and their classification according to various attributes. It will be useful to researchers, maintenance professionals and others concerned with maintenance to understand the significance of TPM.

The aim of this paper states that total productive maintenance (TPM) is an improvement tool which employs the effective utilization of employees in order to enhance the reliability of the equipment in consideration.

This paper identifies and evaluates the factors accountable for the adoption of TPM methodology in manufacturing organizations. Twenty-four factors affecting the TPM implementation are explored and categorized into five significant categories. Afterwards, these identified TPM factors have been evaluated by using a most popular Multi-criteria decision-making (MCDM) approach namely fuzzy pivot pairwise relative criteria importance assessment (F-PIPRECIA).

In this paper, through application of F-PIPRECIA, “Behavioural factor” is ranked first while “Financial factor” the last. Considering the sub-factors, “Top management support and commitment” is ranked first while “Effective use of performance indices” is ranked the last. A further sensitivity analysis indicates the factors that need higher level of attention.

The result of current research work may be exploited by the top administration of manufacturing enterprises for assessing their TPM adoption status and to recognize the frail links of TPM application and improve accordingly. Moreover, significant factors of TPM can be identified and deploy them successfully in their implementation procedure.

The conclusion obtained from this research enables the management to clearly understand the significance of each considered factor on the adoption of TPM in the organization and hence, provides effective utilization of resources.

The purpose of this paper is to investigate the effect of total productive maintenance (TPM) practices on manufacturing performance of textile and apparel manufacturing firms.

A self-administered survey questionnaire was used for data collection. A total of 236 usable responses resulted in a 78 percent response rate from 30 textile and apparel firms. Correlation and regression analysis was performed using SPSS software to identify the effect of TPM on manufacturing performance.

The results show that all the TPM practices have positive and significant relationship with manufacturing performance and significantly improve cost effectiveness, product quality, on-time delivery and volume flexibility.

The study presented in this paper offers academics and practitioners a better understanding of the relationship and impact of the TPM practices on the manufacturing performances. Thus practitioners will be able to make better and more effective decisions about the implementation of TPM practices.

The understanding of the effect of TPM practices on manufacturing performance is timely for labor intensive manufacturing industries such as textile and apparel since it has not been researched adequately. Therefore, findings will impact the global textile and apparel industry positively.

World-class total productive maintenance (TPM) status depends on critical success factors (CSF) to be properly implemented. The relevant literature has identified several CSF; however, researchers have not investigated the degree of importance of each phase of the process. The purpose of this paper is to prioritize the CSFs that influence TPM implementation during each phase of the process in order to aid decision making in companies.

The main CSF are identified from a literature review. This paper focusses on the judgments of managers who are experts in TPM implementation in companies which have received TPM awards for excellence. The judgments are processed using the analytic hierarchy process (AHP) method. Three aggregation methods (geometric mean, Copeland and fuzzy) are employed for comparative analysis.

Although the literature highlights some important CSF, the relevance of these factors is not the same in each phase of TPM implementation. Analysis shows that ranking using the Copeland method is most coherent.

This research was carried out in some Brazilian companies.

If managers are aware of the CSF to be prioritized in each phase, this facilitates decision making, resulting in a more effective implementation of TPM.

If TPM implementation is effective, this stimulates the personnel involved and avoids the possibility of the program being abandoned.

The originality of this paper consists in the proposed model to prioritize CSF during each phase of the implementation of TPM.