BITS Faculty Publications

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    Enablers for Lean Six Sigma and Agile Implementation: An Interpretive Structural Modeling Approach
    (Springer, 2020-12) Mishra, Rajesh P
    In recent decades, industries are going through a cut-throat competition and unexpected pitfall in growth rates has worsened it. In previous two decades, the synergy of Lean and Six Sigma seems to be a renowned continuous improvement (CI) business strategy in order to reduce the cost, increase the productivity, enhance the product quality in the manufacturing sector. Nowadays, the criteria for order winning are not only the low cost but it includes the availability, variety, best in class quality and customized products. Only the organizations nimble enough to react to the dynamic requirements from customers on every form can keep their foothold in the marketplace. It is the time when industry requires a new strategy in combinations with Lean and Six Sigma methodology, i.e., agile manufacturing (AM). It is the strategy by which the industry can quickly react according to the demands and expectations of its customers. AM, when applied in combination with Lean Six Sigma (LSS), can enable an organization to offer desired products and services quickly to its customers without compromising the quality at an optimum price. In this paper, 18 enablers for LSS and AM implementation are identified through vast literature review, the opinion of industry and academia experts and inter-relationships among the identified enablers are established by interpretive structural modeling (ISM). Implementation of such ISM-based model of enablers would give a clear understanding of these enablers so that researchers, decision makers, managers and practitioners will use their resources more effectively.
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    Adoption of Integrated Lean-Green-Agile Strategies for Modern Manufacturing Systems
    (Elsevier, 2017) Sangwan, Kuldip Singh
    Ever increasing customer choices, environmental concerns and competitiveness among manufacturers across the globe has engaged the industry to embrace newer manufacturing strategies. Predominantly, there are three dimensions to modern manufacturing systems viz. economic, environmental and social. The integration of lean-green-agile manufacturing strategies would be a complete and comprehensive manufacturing system which is the need of the 21st century. The adoption of Lean-Green-Agile Manufacturing System (LGAMS) would be facilitated by few enablers. The influence of these enablers is a matter of investigation which is addressed by the present study. An attempt has been made to prioritize the facilitating capacity of each enabler. The outcome of the research would facilitate the policy makers in the industry and government to frame policies.
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    Implementation performance of agile manufacturing: a graph theoretic approach
    (Inder Science, 2018-07) Routroy, Srikanta; Potdar, Pavan Kumar
    The primary objective of this paper is to quantify, evaluate and compare the implementation performance of agile manufacturing program using graph theoretic approach. Eleven agile manufacturing enablers with their key performance indicators were identified and classified into three significant categories. The proposed model captures the performance and interdependencies of significant categories, agile manufacturing enablers and their key performance indicators to quantify the agile manufacturing implementation performance level. In order to demonstrate the utility of the proposed approach, it was applied to an Indian automobile manufacturing company. The performances along the timeline were evaluated and compared with different scenarios to identify performance gap and set the future targets. Although it was observed a significant growth in agile manufacturing implementation performance level in the case company over six quarters, but there was performance gap that needs to be reduced.
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    Analysis of Agile Manufacturing Enablers: A Case Study
    (Elsevier, 2018) Routroy, Srikanta; Potdar, Pavan Kumar
    The purpose of this paper is to strategically select and focus the right Agile Manufacturing Enablers (AMEs) for agility enhancement.A methodology is proposed using Interpretive Structural Modeling - Fuzzy Matriced Impacts Croises Multiplication Appliqueeaun Classement analysis to analyze the AMEs considering their driving and dependence power. The proposed methodology was applied to an Indian electrical hardware manufacturing company. It was concluded that the effort and focus should be streamlined towards information visibility and transparency, devolution of authority, and adaptability for enhancing its agility.
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    Agile manufacturing: a systematic review of literature and implications for future research
    (Emerald, 2017-10) Routroy, Srikanta; Potdar, Pavan Kumar
    Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness, innovation, superior quality, etc. along the supply chain to satisfy the ever increasing customer demand and to maximize the profit. The purpose of this paper is to critically analyze the literature related to various dimensions of AM and to report the findings.