In this paper, a novel and potent approach of the use of Growing Hierarchical Self-Organizing Map (GHSOM) for organization and visualization of machine-part cell formation has been proposed for the first time. The results are compared with the ones obtained by the ART1 algorithm on 14 problems...

Genetic algorithm is believed to be the most robust unbiased stochastic search algorithm for sampling a large solution space. Considering the steady convergence framework of genetic algorithm, it is intensely recognized in group technology applications in cellular manufacturing, and subsequently...

Purpose: 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 issues in context to Indian Small and Medium scale Enterprises (SME's). This paper attempts to...

Purpose: 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....

Purpose – 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...