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The present study analyzes the research articles linking quality management practices (QMP) and quality of work life (QWL). The investigation leads toward the formulation of the hypothesis and developing a conceptual framework of QMP and QWL.

The study uses a systematic literature review to explore the relationship between QMP and QWL using the Scopus, Web of Science, PubMed, Eric, IEEE Xplore, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar database and identifies critical factors of QMP and QWL using Pareto analysis. Further study proposes a conceptual framework of articles linking QMP and QWL.

A thorough review of the literature identifies three different categories of research articles: “factor identification” articles, “QMP implementation” articles, “scale development” articles, and “influence of QMP on various organizational and employees-related factors” articles. Many studies have attempted to study the relationship and influence of QMP on employee-related factors but not by considering them holistically, thus, underlining the significant gap in the QMP and HRM literature.

To review the literature on QMP and QWL, only a handful of databases were reviewed. Further, the proposed conceptual model is based on the QMP and QWL/HRM literature review, and it is not empirically validated. Further research can be considered to test and validate the proposed conceptual framework empirically.

This study highlights a gap in the existing research studies and an incomplete consideration of employees' aspects of QWL. Researchers and organizations are advised to adopt a broader view while assessing QMP implementation's influence on employees.

This study uses a systematic literature review and Pareto analysis to find the critical factors of QMP and QWL, thus providing a new research avenue for researchers, quality experts and human resource managers to consider all the aspects of employees, that is, QWL of employees, to understand the influence of QMP on employees to achieve firm success.

The purpose of this research is to discover equipment losses and assess the accomplishment of overall equipment effectiveness (OEE) values.

Industries specialized in die shops often have issues regarding their efficiencies, conferring to statistics further production line department procedure for various machines frequently suffered restrictions owing to excessive downtime and speed losses in machines thus, reducing their effectiveness and efficiency. OEE is a means of determining how effective a piece of equipment is when in working condition. Calculation of OEE finds the heart of the issue and the root cause for the underlying problem.

The dimensional outcomes suggest that the average machine effectiveness has not attained the norm of >85%, but there is still room for progression.

One recommended procedure to reduce losses is to keep the actual pace of operation and downtime of equipment constant. Many such suggestions are provided to reduce the losses.