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Towards a green and fast production system: Integrating life cycle assessment and value stream mapping for decision making
Institution:Mechanical Department, Yeshwantrao Chavan College of Engineering, Nagpur 440001, Maharashtra, India;Institute of Production Management, Technology and Machine Tools, TU Darmstadt, Germany;KLE Technological University, Hubballi 580031, Karnataka, India;School of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab, India;College of Engineering Guindy, Anna University, Chennai 600025, India
Abstract:Integrating environmental commitment to manufacturing concerns seems unavoidable towards a more sustainable conduct. In the contemporary scenario, Value Stream Mapping (VSM) has been bringing new perspectives into companies' economics, improving production performance, whereas Life Cycle Assessment (LCA) has been the most complete tool for environmental assessment. Therefore, the present study aims to propose a model based on the integration of LCA and VSM to improve environmental and manufacturing aspects of organizations, the LCA-VSM model. Possible spots for integration, overlaps between LCA and VSM and potential gains were identified. The LCA-VSM model provides a simple tool for prioritizing action measures to improve the environmental-economic performance, and unlike many existing methods, it encourages continuous improvement instead of a one-off approach. The company where a case study was conducted to test the LCA-VSM model is a manufacturer of tools and painting materials for the civil construction sector. The use of the proposed model guided actions that decreased from 5% to 15% of environmental impacts (across nine impact categories), and reduced both non-value adding (lead time went from 103.26 to 24.01 days) and value adding (cycle time went from 35.7 s to 33.75 s) time. The main contribution of this paper is providing a structured approach to a practical integration of LCA and VSM towards decision making, prioritizing action measures based on the following criteria: environmental preference, economic feasibility, and ease of implementation, aiding more eco-efficient practices.
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