ANALYSIS OF CRITICAL SUCCESS FACTORS FOR IMPLEMENTATION OF GSCM IN RUBBER GOODS MANUFACTURING INDUSTRY THROUGH INTERPRETIVE STRUCTURAL MODELLING

Abstract

Industrial processes are highly energy intensive and account for significant greenhouse gas emissions. Major portion of this energy is supplied by fossil fuels and thereby depletion of natural resources is occurring at an accelerating rate with time. Studies suggest that demand for manufacturing products is likely to double by the year 2050. Reducing emissions require a focused and sustained effort by the business world. This has led to the evolution of green supply chain management. In the recent years green supply chain management (GSCM) has gained popularity both in academics as well in industry. GSCM is aimed to achieve sustainability by manufacturers globally and is gaining huge popularity. The rubber products manufacturing sector plays a pivotal role in Indian Economy and considered to be one of the key players in global rubber business. The industry has certain distinct advantages due to indigenous availability of the basic raw materials, like natural rubber, synthetic rubber; reclaim rubber, carbon black, rubber chemicals, fatty acids, rayon and nylon yarn and a large domestic market. The industry is expected to grow at over 8%p.a.in the coming decade.But there are certain disadvantages which is hindering the growth rate of this sector. The environmental impact due to wide operations is a burning issue among the rubber technologists. CPCB has categorized this sector in the high polluting (red) category. Annually generated scrap rubber creates a disposal issue in every country. All these issues has created headache to the rubber association and policy makers. Throughout the rubber industry supply chain, policy makers are trying hard to reduce the level of carbon emissions. There exists remarkable scope for expansion in future years provided GSCM is practiced by the rubber products manufacturing sector to achieve sustainability and improving the environmental image. The objective of this study is to develop a GSCM model for the rubber goods manufacturing sector based on the results of Interpretive Structural Modelling (ISM), MICMAC analysis is applied to categorize the factors in terms of driving and dependence power. Further the GSCM model is statistically tested. Both practitioners in industry and academics might find the results useful, as it is addressing both internal and external perspectives of the firm. Keywords: Rubber Manufacturing Sector, GSCM, Interpretive Structural Modelling, MICMAC analysis, GSCM Model, Statistical analysis.