Sustainability Factors Affecting the Implementation of Design for Dis-assembly and Re-manufacturing Principles in Automobile Sector Using ISM

With the automobile sector pacing the tracks among their competitors to lead the market and adopting eco-friendly technologies, a much economic and vital field of making use of the manufactured product beyond its useful life span is widely neglected. This paper throws light on the necessity for implementing and highlights the various reasons for which these guidelines have not come to the attention of the responsible organizations including law making agencies, automobile manufacturers and as well the consumers. An interpretive structural modelling analysis is made to point out ten driving factors in consultation with various experts from the relevant fields and the results provide guidance to how far the idea of design for dis-assembly and re-manufacturing has sought the world for the sustainability of the automobile manufacturers in the industry, for the days to come.

2016 ◽  
Vol 23 (1) ◽  
pp. 2-24 ◽  
Author(s):  
Chitrasen Samantra ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra ◽  
Bikash Ranjan Debata

Purpose – Success of software projects depends on identification of project risks and managing the risks in a proactive manner. Risk management requires thorough insights into interrelationship of various risk factors for proposing strategies to minimize failure rate. The purpose of this paper is to develop a comprehensive structural model to interrelate important risk factors affecting the success of software projects. Design/methodology/approach – Specifically, this study reveals how interpretive structural modelling helps the risk managers in identifying and understanding the interrelationship among various risk factors. A total of 23 risk factors (or risk sources) have been identified through an extensive literature review. Findings – Necessary modelling information has been gathered from expert through a structured questionnaire survey. Matrice d’Impacts croises-multipication appliqué an classment analysis has been employed to classify the risk factors into four clusters such as autonomous, dependent, linkage and independent based on their driving and dependence power. Risk factors with strong dependence and weak driving power need urgent attention from managerial perspective. Originality/value – The proposed model is useful for software managers/practitioners to address risk factors associated with complicated projects.


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