Enablers for Competitiveness of Indian Manufacturing Sector: An ISM-Fuzzy MICMAC Analysis

AbstractNow a days global competitive scenario plays a critical role in success of Indian manufacturing sector. The present study argues that innovation can play a very important role in providing this competitiveness of Indian manufacturing sector. The study identifies 11 enablers for promotion of innovation in the Indian manufacturing sector. Based on the rigorous literature review 11 major innovation enablers (IEs) are obtained. The Delphi technique is applied as a potentially valuable tool for the grouping these enablers. The study, analyse the impact of innovation enablers (IEs) to enhance the manufacturing competitiveness and categories into three phases firstly, identification of innovation enablers, secondly, qualitative analysis of enablers and final quantitative analysis of the innovation enablers. The research theme has been categories into three segments, i.e. identifying the enablers from the literature, conduct interviews with directors of different departments and analysis of the manufacturing industries. The study involves 100 manufacturing companies across India and the data is gathered using a 5-point Likert scale. Interpretive Structural Modeling (ISM) has been used to analyse the relationships among these enablers as well as fuzzy MICMAC (Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement) analysis used to find out driving and the dependence power of enablers. To identify the driving and the dependence power of various IEs the final outcomes of ISM are used as input to the fuzzy MICMAC analysis. This analysis serves to identify which (IEs) is performing as the most leading one to raise the competitiveness of manufacturing industries. This study plays a vital role to enhance the competitiveness of manufacturing industries in India

Effects of granule particle size and lubricant concentration on tablet hardness containing large concentration of polymers

<div><p>ABSTRACT The objective of this research work is to demonstrate the impact of granule size and lubricant concentration on the hardness of tablets in formulations containing higher concentration of polymers and to resolve the hardness issue during compression process. The work involves optimization of a milling process for size reduction of granules and blending process to achieve tablets of good hardness on compression. To optimize the granule size, different sized co-mill screens were used. The different concentration of lubricant were studied on different sized granules to check the effect on hardness of tablets and to obtained the desired hardness of tablets. Compression of lubricated blend in various concentration was performed using the gravity feeder and force feeder separately to check the impact on the over lubrication effect. This ultimately leads to less hardness tablets. Lubricated blends were evaluated by performing the Bulk Density, Tapped Density, Hausner ratio and compressibility index tests. Tablets were evaluated for the physical characteristics like weight variation, hardness, thickness and dissolution. It has been conclude that on using the optimum granules size and lubricant concentration in formulation, all the downstream problems can be resolved and this in turn helps in compression of tablets and also provides the good hardness to the tablets.</p></div