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This paper deals with concept of total productive maintenance (TPM) and its implementation approach. It also presents the identification of critical factors for effective implementation of TPM. The reliability analysis identified potential areas where more concentration is required. The application of hypothesis testing in productivity maintenance should be promoted by parametric test and significantly instrumental in explanation of phenomena. It is also indispensable to better understand quality data and provide guidance to production control.

The various critical success factors of TPM implementation has organised into set of eight performance measure and thirty three sub-factors for getting the in-depth details of each indicator. The paper identifies the reliability of these factors and understands the problem with greater clarity and its ramification. Researcher collected responses from forty one manufacturing organisations through structured designed questionnaire. The reliability analysis was carriedout by calculating the value of Cronbach's alpha method. To draw the meaningful conclusions supported by relevant empirical data, provisional formulation is required, and it was carried by hypothesis testing. In this test, samples are taken from a population with known distribution (normal distribution), and a test of population parameters is executed. It determines the relevancy of facts directs the researcher's efforts into productive channels. The statements were hypothetically tested by calculating the arithmetic value of Chi-Square (χ²) and MINITAB-19 software was used for identification of p-value.

This study identified that main factors and sub-factors of TPM which are critical for implementation of TPM. The study also avoids the complexities involved in implementing TPM by reliability analysis. It is found that all identified CSFs are reliable as Cronbach's alpha is above 0.6. The hypothesis testing shows that all alternative hypothesis statements are acceptable as Chi-Square (χ²) value has satisfied the conditions and null hypothesis are true as calculated p-value is less than the 0.05 for eight identified TPM critical factor.

In this paper researcher provides a comprehensive typology of TPM-CSFs, and its ranking and importance in manufacturing sector. The preparedness of such study related to TPM implementation is becoming a major sourcing base for the world and there is a paucity of such studies. Such studies are equally important in a global context.

The main objective of this paper is to integrate a typology of green supply chain management (GSCM) practices, performances, pressures and barriers with organizational performance theories. Also the aim of this paper is to investigate the present statues of GSCM amongst Indian manufacturer.

Through a systematic review, the study identified 27 GSCM practices, 16 GSCM performances, 06 GSCM pressures and 15 GSCM barriers that were organized into categories according to their theoretical conception, organizational context and characteristics. The survey and interview methods are used for data collection and analyzed by five-point Likert scale.

The main finding of this paper is ranking of identified GSCM practices, performances, pressures and barriers. The study identified three organizational context dimensions (innovation, performance and management) and investigated the present status of GSCM. The main contribution of the study is the alignment of each category of GSCM practices, performances, pressures and barriers and organizational dimension with the selected theoretical lenses that can help future investigations to deepen the analysis of GSCM. Besides the theoretical contributions, the authors believe this contribution can also achieve practitioners.

The authors provide a comprehensive typology of GSCM practices, performances, pressures and barriers based on empirical evidence and conceptual arguments.

The purpose of this paper is to carry out the literature search on manufacturing organizations and total productive maintenance (TPM). This research aims at studying TPM attributes and barriers in line with the TPM framework for effective implementation of TPM. This study identifies the barriers in TPM implementation and the critical success factors (CSFs) for effective TPM implementation.

In this manuscript, the study of TPM in the manufacturing sector has been considered a broad area of the research and emphasis on the TPM literature review, which primarily relates to the contribution of manufacturing sector and employment availability. Next sections covers TPM history, importance, justification, pillars, obstacles and TPM implementation procedure and models. Thereafter author identified the gaps in existing literature.

The existing literature shows that very few TPM implementation models are available for the manufacturing sector. The study also found that there is no systematically conducted large-scale empirical research which deals with TPM implementation. In order to bridge this gap, an investigation into the successful implementation of TPM in is truly needed. The finding of the literature shows that there is a need of TPM model specially developed for the manufacturing sector. The identified critical factors derived from the extensive literature review help to overcome the barriers for effective TPM implementation.

This review study is limited to Indian manufacturing industries. The identified TPM CSFs are based on the TPM pillars and their sub-factors. This cross-sectional study was based on the existing TPM model.

This paper can increase the significance of TPM strategy, which could help managers of organizations to have a better understanding of the benefits of implementing TPM and therefore enable patient satisfaction within their organizations.

The literature review covers methodical identification of TPM barriers and critical factors for maintenance performance improvements. It allows the practitioners to apply these identified CSFs for TPM implementation to achieve an improvement in industrial performance and competitiveness.

The aim of this paper is to present an empirical assessment and strategic planning for measuring the impact of total quality management (TQM) practices on small and medium enterprises (SMEs) and its effectiveness for business excellence. The authors investigate the present status of quality system in SMEs and find the thrust areas for TQM implementation in SMEs of strengths, weaknesses, opportunities and threats analysis. Also, it examines the effect of external environment on internal factors of SMEs by situation analysis. This study helps to develop a model for assessing the components of TQM in SMEs after identifying their weightage.

The qualitative and quantitative techniques have been used together for robust conclusions. The survey data has been collected through the properly designed questionnaire. After studying the present status of TQM in SMEs, situation analysis has been carried out for examining the effect of the external environment on internal factors of SMEs. The weightage of TQM critical success factors was calculated by pair-wise comparison method of analytical hierarchical process (AHP) analysis for framework development.

The study offers useful insights and guidelines for identification of the contribution of TQM critical factors in SMEs performance. It has been observed that the attribute understanding of customer need and its fulfillment ability has the highest priority, whereas supplier partnership and the ability to reduce waste having the least priority in SMEs. Validation study facilitates to channelize TQM initiatives, to improve environmental and operational performance.

The authors provide a comprehensive typology of TQM practices, and its performances on SMEs. This paper can increase the awareness of the significance of TQM strategy which could help managers of SMEs to have a better understanding of the benefits of implementing TQM and therefore unable patient satisfaction with their organizations.

The purpose of this paper is to develop an organized structure for damage detection of a cracked cantilever beam using finite element method and experimental method technique.

Due to presence of cracks the dynamic characteristics of structure change. The change in dynamic behavior has been used as one of the criteria of fault diagnosis for structures. Major characteristics of the structure which undergo change due to presence of crack are: natural frequencies, the amplitude responses due to vibration and the mode shapes. Therefore, an attempt has been made to formulate a smart technique for minimizing the amplitude of vibration for crack cantilever beam structures. In the analysis both single and double cracks are taken into account.

The results of the active vibration control experiments proved that piezoelectric sensor/actuator pair is an effective sensor and actuator configuration for active vibration control to reduce the amplitude of vibration for closed-loop system.

It is necessary that structures must safely work during its service life, but damages initiate a breakdown period on the structures which directly affect the industrial growth. It is a recognized fact that dynamic behavior of structures changes due to presence of crack. It has been observed that the presence of cracks in structures or in machine members leads to operational problem as well as premature failure.