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Purpose Supply chain management plays a vital role in deciding the final cost of products. A huge number of non-value-added activities are performed throughout supply chain process. Lean principles are useful to identify and eliminate waste activities across the supply chain management processes. The purpose of this paper is to examine the validity and reliability of the existing lean supply chain management (LSCM) frameworks in the Indian manufacturing industry through questionnaire survey methodology. Design/methodology/approach The present study collected empirical data from 180 top- and middle-level management personnel from the Indian manufacturing industry. Factor analysis was performed to check unidimensionality of LSCM frameworks by using empirical data. Cronbach’s α value of each selected LSCM framework was calculated to find out its reliability. Finally, frequency distribution analysis was performed on the selected framework to identify and reveal critical constructs of LSCM. Findings It was found that nine LSCM frameworks show unidimensionality. The study established that most of the selected frameworks exposed a high level of reliability. The frequency distribution analysis revealed that the larger part of the constructs had a high mean score and mode. It is concluded that there is a need for a new LSCM framework to fulfill the requirements of the Indian manufacturing industry. Originality/value The present study is focused on checking the suitability of existing LSCM frameworks in the Indian manufacturing sector. It is anticipated that the study will be helpful to the professionals who wish to execute appropriate LSCM framework in the manufacturing organization.

This paper investigates the effect of element size and adaptive re-meshing technique in numerical simulation of incremental sheet forming (ISF) process. In ISF a hemispherical headed tool moves along the specified trajectory to deform the sheet in to required shape. This tool path is generally very long and thus increases the computational time. Therefore, in this work adaptive remeshing technique has been used to minimize the computational time without sacrificing the accuracy of the results. For this a varying wall angle conical frustum was simulated using shell elements with different element edge lengths and adaptive mesh. Effects of these mesh parameters on plastic strain, punch force and form accuracy of deformed geometry has been studied. The necessary simulations for this study are performed using explicit finite element code LS-DYNA.