Under new “make in India policy” India has started to become global manufacturing hub and many Indian organizations are looking to implement lean philosophy to gain sustainable strategic benefits over others. Therefore, a need was felt to develop comprehensive lean evaluation system for Indian automotive small & medium sized enterprises in order to measure its present lean status and potential improvements to gain significant strategic advantages. Research started with the identification of various lean factors and associated sub factors through literature survey. Fuzzy analytic hierarchy process was applied to assign weight to various extracted lean factors and sub factors because of its evident merits. Fuzzy comprehensive analysis was applied to assess present status of Indian automotive small and medium sized enterprises, where lean does not practice. Lean performance of Indian automotive small & medium sized enterprises was ascertained as poor. The proposed model could be useful to guiding the Indian automotive small and medium sized enterprises in judicial selection of lean practices to gain significant sustainable strategic advantage over its competitors. Novelty of this research is to emerge from the development of comprehensive lean measurement model for Indian small and medium sized enterprises in automotive sector.
Reverse Logistics has become buzzword in today's industrial word and big differentiating factor in quest of success for any organization word wide. Whole world is suffering from scarcity of resources and we have finite area available for the waste disposal. One of the sustainable solutions is to design product in such a way so that we can maximize its reuse through reverse logistics. Reverse logistics is fast becoming industrial design standard for majority of organizations worldwide. Reverse logistics has become a need of an hour. Some of the organization do it voluntarily and some because of the environmental rules and legislations. In order to achieve total customer satisfaction, one has to take care of product for its entire life cycle through activities of reverse logistics. In this research I tried to investigate the factors affecting performance of reverse logistics in relation to customer satisfaction. I have used interpretive structural modelling technique to understand the complex pattern of contextual relationship amongst the most important factors through diagraph, which explain performance of reverse logistics in relation to customer satisfaction. I have also used MICMAC analysis to classify these factors according to their driving power and dependency power. MICMAC analysis facilitate in identification of most important factors in explaining performance of reverse logistics in relation to customer satisfaction. Further this research may helpful in reverse logistics design process planning, driven by customer requirement.
In today's global economy, the most successful engineering managers rely on a combination of technical skills and business principles. Industrial and systems engineering (ISE) aims at imparting fundamental knowledge to develop the ability to address complex industrial issues, highlighting how to design, run, control and optimise production systems. IJISE addresses the development of ISE principles, tools, systems and methods with special emphasis on the applications of ISE techniques and tools in improving organisational productivity and competitiveness in global markets.
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