Department of Mechanical engineering

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    Development of Framework for Lean Implementation: An Interpretive Structural Modeling and Interpretive Ranking Process Approach
    (SAE, 2021) Mishra, Rajesh P
    Today’s explosive condition of the market is compelling the manufacturing organizations to switch from traditional manufacturing (TM) to lean manufacturing (LM) to create a footprint in this competi- tive era. In this article, 16 critical success factors (CSFs) for LM implementation are identifi ed through a vast literature review, the opinion of academicians and industry experts and interpretive structural modeling (ISM) is used to create interrelationships among the identifi ed CSFs, and interpretive ranking process (IRP) rank these CSFs based on dominance with respect to performance dimen- sions. Leadership and management made the foundation of an ISM model while the training and people development have secured the fi rst rank in the IRP model. Implementation of such ISM- and IRP-based models of CSF would give a clear understanding of these CSFs so that LM researchers, decision-makers, managers, and practitioners of LM will use their resources more effi ciently.
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    Development of a Model for Total Productive Maintenance Barriers to Enhance the Life Cycle of Productive Equipment
    (Elsevier, 2021) Mishra, Rajesh P
    The main intention of the organization is to focused on enhancing its efficiency, life cycle, and productivity by maintaining better delivery time so that customer satisfying can be guaranteed. One way to achieve this intention is by implementing the concept of Total Productive Maintenance (TPM). In this study, barriers faced by Indian manufacturing organizations in the new emerging market had been determined through the questionnaire survey with the help of renowned academician and industrial experts. These barriers had been divided into key areas namely behavioral, organizational, cultural, technological, departmental, operational, and financial barriers. The barriers had positive as well as negative effects on the actual implementation of TPM aligned with life cycle engineering of productive equipment. The study identifies the crucial barriers to TPM employment in Indian manufacturing industries from the literature review and industrial experience. Hence, a unique model was developed for the determination of the driving and dependence power of the barriers to TPM execution to enhance the life cycle of productive equipment using Interpretive Structure Modelling (ISM).
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    Development of a Framework for Implementation of World-class Maintenance Systems Using Interpretive Structural Modeling Approach
    (Elsevier, 2015) Mishra, Rajesh P
    The purpose of this paper is to develop a framework for the implementation of World-class Maintenance Systems (WMS) with the help of Interpretive Structural Modeling (ISM) methodology. In our earlier work, the framework for WMS was proposed, which explained what constitutes WMS. As a follow up paper, an attempt has been made to present a detailed description about how an organization can implement WMS. To accomplish the same, a standard template is provided for describing the implementation of each and every element and their contextual relationships are also described by ISM methodology which shows driving power and dependence of each element. It is believed that such a normative presentation of the framework would benefit the managers in providing proper guidance and direction during implementation of WMS.
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    Interpretive Structural Modeling Approach for Development of Electric Vehicle Market in India
    (Elsevier, 2015) Digalwar, Abhijeet K.
    The automobile industry is at its maximum growth since few years because of revolutionary changes in Information Technology and greater living standards created by the citizens of India. The booming market obviously puts a lot of pressure on the available stagnant resources like crude oil, natural gas, fossil fuels etc. The supply and demand are crossing the breakeven point and the situation can be worsened if an alternative doesn’t replace the existing crisis. The Electric Vehicle (EV) is one of the alternative solutions to overcome the crises. But EV market is at a nascent stage in India when compared with other developed and emerging countries. There are many factors which affect the growth of electric vehicle market in India. The present paper discusses most critical factors for the promotion and development of EV market in India with the help of an Interpretive Structural Model (ISM).
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    Modeling of Risk Factors in Transportation of Perishable Goods Using ISM Approach
    (Springer, 2022-02) Sangwan, Kuldip Singh; Sharma, Satyendra Kumar
    Transportation is most well defined as a catalyst of progress. This holds true especially in the case of transportation of perishable food items. Hence, it is tough to viably protect transient products and confirm extreme freshness during blistering and moist climate. In India, the most basic requirement in development of the nourishment preparing industry is the absence of included cold chain facilities. The objective of this research is to present the readily available facts about transport and storage of perishable foods and outline the risk factors involved in this activity. Through research, various risk factors in transportation have been analyzed using ISM technique.
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    Modeling drivers for successful adoption of environmentally conscious manufacturing
    (Emerald, 2014-07) Sangwan, Kuldip Singh
    This paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency.
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    Analysis of Barriers to Industry 4.0 adoption in Manufacturing Organizations: an ISM Approach
    (Elsevier, 2021) Sangwan, Kuldip Singh
    Industry 4.0 has enabled technological integration of cyber physical systems and internet based communication in manufacturing value creation processes. As of now, many people use it as a collective term for advanced technologies, i.e. advanced robotics, artificial intelligence, machine learning, big data analytics, cloud computing, smart sensors, internet of things, augmented reality, etc. This substantially improves flexibility, quality, productivity, cost, and customer satisfaction by transforming existing centralized manufacturing systems towards digital and decentralized one. Despite having potential benefits of industry 4.0, the organizations are facing typical obstacles and challenges in adopting new technologies and successful implementation in their business models. This paper aims to identify potential barriers which may hinder the implementation of industry 4.0 in manufacturing organizations. The identified barriers, through comprehensive literature review and on the basis of opinions collected from industry experts, are: poor value-chain integration, cyber-security challenges, uncertainty about economic benefits, lack of adequate skills in workforce, high investment requirements, lack of infrastructure, jobs disruptions, challenges in data management and data quality, lack of secure standards and norms, and resistance to change. Interpretive Structural Modeling (ISM) is used to establish relationships among these barriers to develop a hierarchical model and MICMAC analysis for further classification of identified barriers for better understanding. An analysis of driving and dependence of the barriers may help in clear understanding of these for successful implementation of Industry 4.0 practices in the organizations.
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    Development of an Interpretive Structural Model of Barriers to Reverse Logistics Implementation in Indian Industry
    (Springer, 2011-01) Sangwan, Kuldip Singh
    Sustainability is an important concept for twenty first century organizations and one approach for managing corporate sustainability is through the introduction of reverse logistics (RL). But there are many barriers to the implementation of RL in developing countries like India. This paper identifies sixteen barriers to RL from the literature survey. An interpretive structural modeling (ISM) technique has been used to develop a structural model to obtain proper hierarchy and interrelationship among the barriers. The model will help the decision makers in government and industry to prioritize the focus on the barriers for implementation of RL.
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    Enhancing supplier capability through Six Sigma enablers
    (Emerald, 2021-12) Routroy, Srikanta; Pradhan, Sudeep Kumar; Reosekar, Ravi Shrikrishna
    The purpose of this paper is to identify, analyze and orient the enablers of Six Sigma to enhance supplier capability for an Indian manufacturing supply chain (SC).
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    Analysis of government-supported health-care supply chain enablers: a case study
    (Emerald, 2020-02) Routroy, Srikanta
    The purpose of this paper is to identify, analyze and classify (i.e. driving and dependence power) the government-supported health-care supply chain enablers (GHSCEs) in rural areas of India for enhancing availability and minimizing wastage of generic medicines.