Implementing lean manufacturing system: ISM approach

Abstract

<p><strong>Purpose: </strong>Lean Manufacturing System has emerged as an important area of research in Indian context. The requirement of Lean Manufacturing has increased due to defects in products (semi finished and finished) and subsequent increase in cost. In this context, this study is an attempt to develop a structural model of the variables, important to implement Lean Manufacturing System in Indian automobile industry.</p> <p><strong>Design/Methodology/Approach: </strong>Various variables of lean manufacturing system implementation have been identified from literature review and experts’ opinions. Contextual relationship among these identified variables has been set after carrying out brainstorming session. Further, classification of the variables has been carried out based upon the driving power and dependence. In addition to this, a structural model of variables to implement lean concept in Indian automobile industry has also been developed using Interpretive Structural Modeling (ISM) technique. Questionnaire based survey has also been conducted to rank these variables.</p> <p><strong>Findings:</strong> Eighteen variables have been identified from the literature and subsequent discussions with experts. Out of which, nine variables have been identified as dependent and nine variables have been identified as driver. No variable has been identified as linkage variable and autonomous variable. From the model developed, ‘Relative cost benefits’ has been identified as top level dependent variable and top management commitment as bottom level most independent variable.</p> <p><strong>Research limitations/Implications: </strong>The model so developed is a hypothetical model based upon experts’ opinions. The conclusions so drawn may be further modified to apply in real situation.</p> <p><strong> </strong></p> <p><strong>Practical implication:</strong> Clear understanding of interactions among these variables will help organizations to prioritize and manage these variables more effectively and efficiently to draw advantage from lean manufacturing system implementation.</p> <strong>Originality/value: </strong>Through this paper we contribute to identify the variables to implement lean manufacturing system in Indian automobile industry and prioritize them. The structured model developed will help to understand interdependence of the variables of lean manufacturing system implementation

Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system

“…Top-management commitment implies how senior leaders and management core group guide the organization and assess the organizational performance. Without the support of top management, the desired goal cannot be achieved Kumar et al (2013), Grover et al (2012), Govindan et al (2014), Sarkis et al (2006), Teh et al (2008) 2 Government support to adopt Environmental friendly policies Legislation and regulation provide guidelines and certain standards that are needed for the proper governance of business enterprises in, turn it also considers the environment in which they operate. Environmental laws and regulations should be strictly followed in order to control pollution Scupola (2003), Alkhidir and Zailani (2009) 3…”

“…They found that 'top management commitment and support' and 'integration of TPM goals and objectives into business plans' are top most enablers and 'cultural change' and 'total employee involvement' as least enablers. Kumar et al (2013) formed a structural model of variables that is important to implement lean manufacturing system in Indian Automobile Industry using ISM. They identified 18 variables, out of which relative cost benefits has been identified as top level dependent and Top-management commitment as bottom level independent variable.…”

Lean Construction Implementation in the Saudi Arabian Construction Industry

“…Fifth, the recognizing or pursuing of perfection helps to improve systems and processes and this needs to be constantly sought. These five principles are the principles for the optimization of the system from which a common spirit flows (Kumar et al, 2013).…”

Modelo de relações entre os riscos que afetam a implantação de produção enxuta

“…This model can also help managers to understand the direct and indirect influences of actions and the treatment of risks (Aloini et al, 2012). ISM was recently used in studies aimed at understanding the risks in software development projects (Aloini et al, 2012), in supply chain management (Faisal et al, 2006;Pfohl et al, 2011) and also to understand the linkages between lean practices (Kumar et al, 2013).…”