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The purpose of this study is to review and conceptualize a holistic framework for lean manufacturing (LM) implementation, enabling the manufacturing industries to administer the implementation process successfully toward organizational development and customer satisfaction.

An extensive literature survey on the input and output manifests of lean production is carried out. An attempt is made to build an exhaustive list of all the technical and human inputs necessary for LM implementation, coupled with a similar exhaustive list of the benefits accrued from its successful implementation. The determinants and outcomes of successful LM implementation are further mapped onto 11 distinct input latent constructs and 3 distinct output latent constructs, respectively.

A conceptual structural model for administering LM implementation is framed based on the manifests considered in the literature.

The model conceptualized in this study may be treated as a guide for successful LM implementation in a manufacturing enterprise.

This research is expected to provide further insights for lean implementation and will be very helpful to integrate the lean principles, tools and benefits into a unified coherent complete manufacturing system.

To the best of the authors’ knowledge, this work is one of the very first research studies to have a comprehensive all-inclusive study of the input and output variables for LM implementation. It intends to bridge the gap between theory and practice and has come up with a comprehensive framework which will aid the lean practitioners toward successful LM implementation, as well as, assist them in assessing the effect of implementation.

The purpose of this study is to explore the mediation effect of volatile economic conditions on performance benefits of successful kean manufacturing implementation (LMI). The mediating factor of economic volatility (EV) is constructed based on four macroeconomic dimensions – supplier uncertainty, market demand fluctuations, governmental policy changes and peer competition.

An attempt is made to build an exhaustive list of the internal operational manifests grouped into one human and three technical input factors. Similarly the benefits accrued are collated under two performance measures – customer satisfaction (CS) and organizational goal satisfaction (OGS). Based on data from the Indian manufacturing sector, structural equation modelling (SEM) and ordinary least square (OLS) analyses are carried out to validate the proposed model.

Results of the structural model validate the first six hypotheses posited in the model. Results of OLS further reveal the mediation effect of EV having negative impact on LMI–CS and LMI–OGS nexus.

This research offers a fair understanding of the internal operational lean factors and the effect of volatile macroeconomic conditions on lean benefits. The structural model will aid the academicians and lean implementers comprehend the dimensional structure underlying the lean practices and beliefs. This work further helps to understand the moderation effect of environmental complexity on the output measures of LMI in the Indian manufacturing sector.

This work is one of the very first empirical analyses of lean performance under contingent economic conditions. The paper presents a valuable recommendation to practitioners for considering the dynamism of external economic environment instead of simply adopting standalone internal lean parameters, if satisfactory levels of performance in terms of CS and OGS are to be achieved.

The purpose of this paper is to study the cascading effect of management actions on new product development (NPD) for achieving success in Indian manufacturing industries. The critical linkage of managerial support for establishing management actions has been explored to realize the NPD success in terms of financial and economic measures.

The structural equation modeling approach is used to investigate the relationship depicting the managerial control on management practices for NPD success. Primary data from 263 experts of Indian manufacturing industries have been collected for the purpose of this analysis.

Senior management motivation, risk-taking attitude, problem-solving capacity, awareness in novel development cascade the management actions such as information technology management, conflict management, project management, human resource management, strategic management, organizational factors, planning, long-term vision, and entrepreneurial culture to escalate the NPD success, which in turn be articulated by financial and economic terms.

The findings suggest that managerial support influences the adoption of management actions leading toward NPD success. The developed framework realizes the necessity of implementation of these management actions cascaded from the top management support (TMS) for influencing the financial and economic measures of NPD success.

The cascaded framework depicting the TMS for implementing management actions for NPD success in Indian manufacturing sectors adds novelty to the available literature. Moreover, this study uses a semi-structured questionnaire which incorporates the practical experiences of the experts for quantifying the constructs in a more detailed manner than available in the previous literature. Besides, the realization of comprehensive management actions along with the support from senior management escalates the implementation of the developed framework for NPD success in near future.

The purpose of this paper is to present the findings of a study which is based on the results of a comprehensive compilation of literature and subsequent analysis of ERP implementation success factors in the context of Indian micro, small and medium‐scale enterprises (MSMEs). The paper attempts to assess empirically which factors are most critical in the ERP implementation process from the perspective of the Indian MSMEs. This research is potentially aimed at being useful to MSMEs as a guideline, so as to ensure a positive outcome of the implementation process.

The paper tries to explore the factors affecting implementation across the stages of ERP implementations using the responses from 98 MSMEs engaged in manufacturing activities. The minimum number of factors explaining the maximum variance in data is determined using confirmatory factor analysis (CFA). The factor analysis is performed on SPSS with the principal component method using the Varimax rotation technique.

The results of this study highlights four crucial factors that influence the ERP implementation process in the Indian MSME segment. Broadly, they may be summed up under the following heads: project execution competency; product and vendor perspective; organizational climate; and technical perspective.

The findings will be beneficial for MSMEs for proper utilization of their limited resources and to pay adequate attention to those factors that are most likely to have an impact on the implementation of the ERP system.

The purpose of this study is to enhance the output of a manufacturing set-up in phases, by identifying the wastages in the existing line and, thereby, reducing them.

Feasibility checking and optimization of capacity enhancement of a processing line have been discussed. Value stream mapping (VSM) methodology has been used as a data-driven decision-making tool to identify the constraints in the current state and subsequent states. The future state has been achieved in stages using VSM tool of lean manufacturing, coupled with the management philosophy of Theory of Constraints. An example of an Indian company has been added to demonstrate the suitability of the approach.

The proposed approach addresses an important issue of phased increase in customer demand and the process of accommodating it through multi-phased maneuvering of productive capacity at constraint points instead of enhancing the capacity at one go. The underlying problem of capacity enhancement has been addressed using lean principles and the optimum feasible option has been designed so that the increase in cost is minimized along with satisfying the stepwise increase in demand.

This research work is applicable to the manufacturing sector.

This paper proposes a methodology for phased upgrading of a production flow-line in keeping with a steady increase in customer demand. Here, VSM has been applied in a phased manner, and the constraint in the current state as well as in each subsequent phase has been identified and removed.

A study of piston ring‐cylinder tribological behaviour under mixed lubrication mode is usually based upon data regarding surface contact magnitudes, fluid film characteristics and resultant mixed friction forces. The present paper introduces a Fisher‐Pearson statistical model to describe elastic deformation of piston rings and liners’ asperities in order to derive more realistic functions that represent the aforementioned functional quantities considering real surfaces of used and worn liners. The hypothesis that the microtopography follows Gaussian law overestimates critical contact magnitudes such as: minimum film thickness‐surface separation distance, deformed asperities supported load, number of contacts and contact area. Increased time of use and wear of liners decreases transverse geometrical anisotropy. Correction contact integral functions in cases of used liners’ surfaces may be calculated through surface profile measurements. Theoretical and experimental results are in good agreement for the configuration considered.