PurposeThis 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.Design/methodology/approachThe 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.FindingsThis 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.Originality/valueIn 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.
PurposeThe 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.Design/methodology/approachIn 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.FindingsThe 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.Research limitations/implicationsThis 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.Practical implicationsThis 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.Originality/valueThe 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.
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
This article focuses on identification of environmental aspects required for successful implementation of total quality management (TQM). The proposed framework is intended to be nonprescriptive and provides a useful framework for the study of TQM implementation in small businesses in various economic environments (i.e., industrially backward regions). The suggested methodology attempts to fill the gap through the proposed conceptual framework, which can help in making a selected quality initiative become a permanent feature of an organization. The article concludes with discussion of the proposed future direction for this research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.