Department of Mechanical engineering

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Now showing 1 - 10 of 19
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    Lean manufacturing frameworks: review and a proposed framework
    (Inder Science, 2016-09) Jasti, Naga Vamsi Krishna
    The objective of the study is to perform critical review and find out the inconsistencies of lean manufacturing (LM) frameworks. It has reviewed 35 frameworks in the field of LM as well as proposed an LM framework to overcome the shortcoming of the existing LM frameworks. It has performed review on various aspects of LM frameworks such as novelty of the framework, participation of various researchers, and verification aspects. It has found major inconsistencies in the existing LM frameworks such as lack of adaptation of existing framework, lack of contribution of consultants and practitioners, less number of frameworks verified, all LM frameworks were verified in developed countries and manufacturing sector as well as highly incoherent elements used. The outcome of research proposes development of a unified theory in LM field. Finally, the study proposes a comprehensive conceptual LM framework to show the way to develop unified framework in the field of LM with the help of coherent set of LM elements
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    Development of a framework for lean enterprise
    (Emerald, 2020-06) Jasti, Naga Vamsi Krishna; Kota, Srinivas; Kale, Samir Ramdas
    Lean enterprise (LE) is one of the emerging fields because of its impact across industry sectors. There were many LE framework articles published in the past without reviewing or considering the already published literature which lead to lots of inconsistencies in the existing frameworks of LE. This study aims to critically review the existing frameworks to identify inconsistencies and propose a new LE framework to overcome limitations of the existing LE frameworks.
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    Validity and reliability of lean manufacturing frameworks: An empirical study in Indian manufacturing industries
    (Emerald, 2014-10) Jasti, Naga Vamsi Krishna
    The purpose of this paper is to investigate, validity and reliability analysis on existing Lean manufacturing (LM) frameworks when applied to Indian organizations. LM is one of the best manufacturing strategies that are used by manufacturing plant managers to improve manufacturing capabilities.
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    Lean manufacturing implementation using value stream mapping as a tool: A case study from auto components industry
    (Emerald, 2014-02) Jasti, Naga Vamsi Krishna
    Value stream mapping (VSM) is a lean manufacturing (LM) tool used for analyzing material and information flow on a specific product family. The purpose of this article is to address the importance of VSM in LM environment in an Indian auto components industry.
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    A literature review of empirical research methodology in lean manufacturing
    (Emerald, 2014-07) Jasti, Naga Vamsi Krishna
    The purpose of this paper is to review the existing literature on empirical research in lean manufacturing (LM). It provides a critical assessment of empirical research methodology of 178 research articles published from 1990 to 2009.
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    Lean production: literature review and trends
    (Taylor & Francis, 2014-07) Jasti, Naga Vamsi Krishna
    The purpose of this paper is to perform the analysis of literature review of lean production (LP). The analysis involved studying 546 research articles published from 1988 to 2011 in selected 24 operations research journals. The articles are classified by: time distribution of articles, research methodology, research stream, authorship patterns, sector-wise focus, popular elements in lean literature, focus of the articles on lean waste, and implementation status and performance measurement of various existing frameworks/models. Then, the suggestions for the future scope of research possibilities and development are identified. The study provides a taxonomical and integrated review of articles, puts up perspective into the conceptualisation and various critical parameters for research. The findings include: increase in empirical approach research articles, need of applying lean principles in the field of product development and enterprise level areas, need of more interregional research collaborations, need of lean elements as group instead of individual element, need of avoiding seven lean wastes instead of specific waste and lack of testing and validation of the proposed frameworks/models by researchers. The study results shall help researchers, academicians and professionals to focus on the growth, pertinence and research developments in the LP system field.
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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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    Semi-process Industry and Lean Manufacturing
    (The InfoLibrary, 2022) Soni, Manoj Kumar
    This paper aims at proving that lean manufacturing can be successfully implemented in a semi-process industry, to reduce defects, waste, waiting time, processing time, inventory, and space.Acase studywas performed on a medium sized ceramic industry which resulted in waiting time reduction by 32%, processing time reduction by 1.02%, reduction in inventory by 36%, defects reduction (average) by 40.51%, reduction in manpower by 6.85% and cost saving of US $ 0.61 million in one financial year. It might represent new opportunities for lean practitioners/researchers who are interested in substantiating their lean endeavors in semi-process industries
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    Integrating Theory of Constraints, Lean and Six Sigma: a framework development and its application
    (Taylor & Francis, 2022-05) Digalwar, Abhijeet Kumar
    This paper presents an integrated framework that combines the strengths of three relevant business excellence philosophies: Theory of Constraints, Lean, and Six Sigma (TLS). The integrated framework increases the TLS Orientation of a firm when management employs a unique growth-oriented mindset, adopts global measurements, and implements an integrated continuous improvement methodology. We discuss how a small-to-medium enterprise (a real but disguised manufacturing firm in India) implemented the proposed framework by employing the cognate key concepts and tools in an integrated manner, and improved its business excellence in terms of improved flow, reduced waste, and increased process capability, which, in turn, strengthened its financial performance. We conclude the paper by discussing the limitations of the study (e.g. an application in a small business) and providing future research directions to further develop its underlying theory and validate the proposed TLS orientation construct by means of case studies and questionnaires. Some initial results are reported.
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    Digitalization: a tool for the successful long-term adoption of lean manufacturing
    (Elsevier, 2023) Sangwan, Kuldip Singh
    The lean manufacturing benefits are well documented in literature for different types of industries. However, data acquisition and computation are the basic difficulties or pain points in developing value stream maps to find different types of waste. Industrial internet of things (IIoT) and digital twin enable fast, and dynamic data acquisition and computation with ease. This paper presents digitalization as a tool for the successful adoption of lean manufacturing through real-time data acquisition and computation. The proposed solution incorporates smart low-cost sensor-based data acquisition with a unified dashboard for operational and strategic decision making. The implementation of the proposed unified system is demonstrated through the development of a digital twin and a dynamic dashboard for a modular production system (MPS) assembly line. The dynamic data integration through the deployment of IIoT synchronizes the physical system to dashboard and digital system. The unified dashboard supports effective and timely decision making, especially for shop floors with alternate process plan configurations. The adoption of the proposed solution in an MPS assembly line demonstrates the capability of the architecture as a robust decision support system.