The Experts below are selected from a list of 34203 Experts worldwide ranked by ideXlab platform
Joost Duflou - One of the best experts on this subject based on the ideXlab platform.
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methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory uplci co2pe initiative cooperative effort on process emissions in Manufacturing part 2 case studies
International Journal of Life Cycle Assessment, 2012Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Purpose This report presents two case studies, one for both the screening approach and the in-depth approach, demonstrating the application of the life cycle assessment-oriented methodology for systematic inventory analysis of the machine tool use phase of Manufacturing Unit processes, which has been developed in the framework of the CO2PE! collaborative research programme (CO2PE! 2011) and is described in part 1 of this paper (Kellens et al. 2011).
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Methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory (UPLCI) Part 2: Case Studies
International Journal of Life Cycle Assessment, 2011Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Click on the DOI link below to access the article (may not be free).This report presents two case studies, one for both the screening approach and the in-depth approach, demonstrating the application of the life cycle assessment-oriented methodology for systematic inventory analysis of the machine tool use phase of Manufacturing Unit processes, which has been developed in the framework of the CO2PE! collaborative research programme (CO2PE! 2011) and is described in part 1 of this paper (Kellens et al. 2011). The screening approach, which provides a first insight into the Unit process and results in a set of approximate LCI data, relies on representative industrial data and engineering calculations for energy use and material loss. This approach is illustrated by means of a case study of a drilling process. The in-depth approach, which leads to more accurate LCI data as well as the identification of potential for environmental improvements of the Manufacturing Unit processes, is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The procedure of this approach, together with the proposed CO2PE! template, is illustrated by means of a case study of a laser cutting process. The CO2PE! methodology aims to provide high-quality LCI data for the machine tool use phase of Manufacturing Unit processes, to be used in life cycle inventory databases and libraries, as well as to identify potential for environmental improvement based on the in-depth analysis of individual Manufacturing Unit processes. Two case studies illustrate the applicability of the methodology.Peer reviewed articl
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Methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory (UPLCI) Part 1: Methodology Description
International Journal of Life Cycle Assessment, 2011Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Click on the DOI link below to access the article (may not be free).This report proposes a life-cycle analysis (LCA)-oriented methodology for systematic inventory analysis of the use phase of Manufacturing Unit processes providing Unit process datasets to be used in life-cycle inventory (LCI) databases and libraries. The methodology has been developed in the framework of the CO(2)PE! collaborative research programme (CO(2)PE! 2011a) and comprises two approaches with different levels of detail, respectively referred to as the screening approach and the in-depth approach. The screening approach relies on representative, publicly available data and engineering calculations for energy use, material loss, and identification of variables for improvement, while the in-depth approach is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The screening approach provides the first insight in the Unit process and results in a set of approximate LCI data, which also serve to guide the more detailed and complete in-depth approach leading to more accurate LCI data as well as the identification of potential for energy and resource efficiency improvements of the Manufacturing Unit process. To ensure optimal reproducibility and applicability, documentation guidelines for data and metadata are included in both approaches. Guidance on definition of functional Unit and reference flow as well as on deter! mination of system boundaries specifies the generic goal and scope definition requirements according to ISO 14040 (2006) and ISO 14044 (2006). The proposed methodology aims at ensuring solid foundations for the provision of high-quality LCI data for the use phase of Manufacturing Unit processes. Envisaged usage encompasses the provision of high-quality data for LCA studies of products using these Unit process datasets for the Manufacturing processes, as well as the in-depth analysis of individual Manufacturing Unit processes. In addition, the accruing availability of data for a range of similar machines (same process, different suppliers and machine capacities) will allow the establishment of parametric emission and resource use estimation models for a more streamlined LCA of products including reliable Manufacturing process data. Both approaches have already provided useful results in some initial case studies (Kellens et al. 2009; Duflou et al. (Int J Sustain Manufacturing 2:80-98, 2010); Santos et al. (J Clean Prod 19:356-364, 2011); UPLCI 2011; Kellens et al. 2011a) and the use will be illustrated by two case studies in Part 2 of this paper (Kellens et al. 2011b).Peer reviewed articl
Karel Kellens - One of the best experts on this subject based on the ideXlab platform.
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methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory uplci co2pe initiative cooperative effort on process emissions in Manufacturing part 2 case studies
International Journal of Life Cycle Assessment, 2012Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Purpose This report presents two case studies, one for both the screening approach and the in-depth approach, demonstrating the application of the life cycle assessment-oriented methodology for systematic inventory analysis of the machine tool use phase of Manufacturing Unit processes, which has been developed in the framework of the CO2PE! collaborative research programme (CO2PE! 2011) and is described in part 1 of this paper (Kellens et al. 2011).
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Methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory (UPLCI) Part 2: Case Studies
International Journal of Life Cycle Assessment, 2011Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Click on the DOI link below to access the article (may not be free).This report presents two case studies, one for both the screening approach and the in-depth approach, demonstrating the application of the life cycle assessment-oriented methodology for systematic inventory analysis of the machine tool use phase of Manufacturing Unit processes, which has been developed in the framework of the CO2PE! collaborative research programme (CO2PE! 2011) and is described in part 1 of this paper (Kellens et al. 2011). The screening approach, which provides a first insight into the Unit process and results in a set of approximate LCI data, relies on representative industrial data and engineering calculations for energy use and material loss. This approach is illustrated by means of a case study of a drilling process. The in-depth approach, which leads to more accurate LCI data as well as the identification of potential for environmental improvements of the Manufacturing Unit processes, is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The procedure of this approach, together with the proposed CO2PE! template, is illustrated by means of a case study of a laser cutting process. The CO2PE! methodology aims to provide high-quality LCI data for the machine tool use phase of Manufacturing Unit processes, to be used in life cycle inventory databases and libraries, as well as to identify potential for environmental improvement based on the in-depth analysis of individual Manufacturing Unit processes. Two case studies illustrate the applicability of the methodology.Peer reviewed articl
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Methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory (UPLCI) Part 1: Methodology Description
International Journal of Life Cycle Assessment, 2011Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Click on the DOI link below to access the article (may not be free).This report proposes a life-cycle analysis (LCA)-oriented methodology for systematic inventory analysis of the use phase of Manufacturing Unit processes providing Unit process datasets to be used in life-cycle inventory (LCI) databases and libraries. The methodology has been developed in the framework of the CO(2)PE! collaborative research programme (CO(2)PE! 2011a) and comprises two approaches with different levels of detail, respectively referred to as the screening approach and the in-depth approach. The screening approach relies on representative, publicly available data and engineering calculations for energy use, material loss, and identification of variables for improvement, while the in-depth approach is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The screening approach provides the first insight in the Unit process and results in a set of approximate LCI data, which also serve to guide the more detailed and complete in-depth approach leading to more accurate LCI data as well as the identification of potential for energy and resource efficiency improvements of the Manufacturing Unit process. To ensure optimal reproducibility and applicability, documentation guidelines for data and metadata are included in both approaches. Guidance on definition of functional Unit and reference flow as well as on deter! mination of system boundaries specifies the generic goal and scope definition requirements according to ISO 14040 (2006) and ISO 14044 (2006). The proposed methodology aims at ensuring solid foundations for the provision of high-quality LCI data for the use phase of Manufacturing Unit processes. Envisaged usage encompasses the provision of high-quality data for LCA studies of products using these Unit process datasets for the Manufacturing processes, as well as the in-depth analysis of individual Manufacturing Unit processes. In addition, the accruing availability of data for a range of similar machines (same process, different suppliers and machine capacities) will allow the establishment of parametric emission and resource use estimation models for a more streamlined LCA of products including reliable Manufacturing process data. Both approaches have already provided useful results in some initial case studies (Kellens et al. 2009; Duflou et al. (Int J Sustain Manufacturing 2:80-98, 2010); Santos et al. (J Clean Prod 19:356-364, 2011); UPLCI 2011; Kellens et al. 2011a) and the use will be illustrated by two case studies in Part 2 of this paper (Kellens et al. 2011b).Peer reviewed articl
Vinayak Sharma - One of the best experts on this subject based on the ideXlab platform.
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Success of TPM concept in a Manufacturing Unit – a case study
International Journal of Productivity and Performance Management, 2018Co-Authors: Jagdeep Singh, Harwinder Singh, Vinayak SharmaAbstract:Purpose The purpose of this paper is to implement new concept of mobile maintenance in Manufacturing industry of Northern India. This study tries to introduce the new concept of total productive maintenance program in the case company. Design/methodology/approach The approach is to study the role of mobile maintenance in the context of Indian industry through significant improvement in overall equipment effectiveness (OEE). Findings This industry adopted the mobile maintenance strategy and improved their productivity by decreasing breakdown time. This mobile maintenance strategy can reduce major breakdowns, setup and adjustment losses and improve productivity, product quality and OEE of equipment. Results indicate an average increase in production of 15.63 percent, average reduction in breakdown time of 23.14 percent, average reduction in rejection rate of 17.94 percent and average increase in OEE of 17.08 percent. Moreover, the results of improvements in parameters are validated by using multi-criteria decision-making approaches. Research limitations/implications Maintenance is of great importance in modern era of Manufacturing systems for those organizations who consider maintenance as a profit-generating factor. In the dynamic and highly challenging environment, reliable Manufacturing equipment is regarded as the major contributor to the performance and profitability of Manufacturing systems. Moreover, the selection of Manufacturing industry is done on the basis of convenience sampling technique. Originality/value Industry can improve machine availability and OEE by implementing this mobile maintenance concept especially in the Indian context and is very beneficially for the case company under study.
Harwinder Singh - One of the best experts on this subject based on the ideXlab platform.
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Application of lean Manufacturing in automotive Manufacturing Unit
International Journal of Lean Six Sigma, 2020Co-Authors: Jagmeet Singh, Harwinder SinghAbstract:PurposeThis paper aims to apply lean Manufacturing using value stream mapping (VSM) in the Manufacturing organization (automotive suspension and fastening components section). To validate the VSM approach, simulation has been done.Design/methodology/approachVSM approach has been used to implement lean stages in the U-bolt section. Current state map was prepared and future state map has been implemented. Further, simulation has been done to compare current state and future state maps.FindingsIt has been found that there is 87.59% reduction in cycle time (C/T), 76.47% reduction in work-in-process (WIP) inventory, 95.41% reduction in production lead time, 66.08% increase in value added (VA) ratio, 95.78% reduction in non-value added (NVA) time, 57.14% reduction in the number of operators and 70.67% reduction in change over (C/O) time for the U-bolt section. Simulated and VSM of current and future state has observed error of 5 s.Research limitations/implicationsThis study is based on automotive Manufacturing industry situated in northern part of India. The outcome of this study is applicable only to the selected product of the Manufacturing company.Originality/valueThis paper deals with case study part which reflects the true picture of implementation of Lean Manufacturing (LM) tools in the organization.
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Managing industrial operations by lean thinking using value stream mapping and six sigma in Manufacturing Unit: Case studies
Management Decision, 2019Co-Authors: Jagdeep Singh, Harwinder Singh, Amandeep Singh, Jashanpreet SinghAbstract:Purpose The purpose of this paper is to cover the significance of lean thinking using value stream mapping and six sigma methodology in managing industrial operations. Design/methodology/approach Lean Manufacturing is an efficient approach for identifying and eliminating waste through a continuous improvement via flow of the product/service at the pull of customer in chase of exactness. This study has been carried out in a Manufacturing Unit of Northern India that was suffering from high production lead time and work in progress (WIP) inventory. Findings The current state and future state maps for the critical product have been prepared. On comparison of both current and future state maps, it was observed that lead time has been reduced by 14.88 percent, processing time by 14.71 percent and wastage of material movement by 37.97 percent. As proposed in model, the WIP inventories have been reduced by 17.76 percent and workforce by 17.64 percent. Further it would lead to the profit of Rs161,800 per annum. Six sigma projects have been carried out to reduce rejections of the critical product P-19 under study. The total length of the product was undersize of the critical product. Root cause analysis technique has been used through strategic DMAIC implementation. Results of investigation demonstrated net savings of rupees 145,560 annually. Originality/value The paper demonstrates the practical application of lean thinking, showing how it can bring real breakthroughs in saving cost in the Manufacturing industry.
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Success of TPM concept in a Manufacturing Unit – a case study
International Journal of Productivity and Performance Management, 2018Co-Authors: Jagdeep Singh, Harwinder Singh, Vinayak SharmaAbstract:Purpose The purpose of this paper is to implement new concept of mobile maintenance in Manufacturing industry of Northern India. This study tries to introduce the new concept of total productive maintenance program in the case company. Design/methodology/approach The approach is to study the role of mobile maintenance in the context of Indian industry through significant improvement in overall equipment effectiveness (OEE). Findings This industry adopted the mobile maintenance strategy and improved their productivity by decreasing breakdown time. This mobile maintenance strategy can reduce major breakdowns, setup and adjustment losses and improve productivity, product quality and OEE of equipment. Results indicate an average increase in production of 15.63 percent, average reduction in breakdown time of 23.14 percent, average reduction in rejection rate of 17.94 percent and average increase in OEE of 17.08 percent. Moreover, the results of improvements in parameters are validated by using multi-criteria decision-making approaches. Research limitations/implications Maintenance is of great importance in modern era of Manufacturing systems for those organizations who consider maintenance as a profit-generating factor. In the dynamic and highly challenging environment, reliable Manufacturing equipment is regarded as the major contributor to the performance and profitability of Manufacturing systems. Moreover, the selection of Manufacturing industry is done on the basis of convenience sampling technique. Originality/value Industry can improve machine availability and OEE by implementing this mobile maintenance concept especially in the Indian context and is very beneficially for the case company under study.
Michael Overcash - One of the best experts on this subject based on the ideXlab platform.
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methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory uplci co2pe initiative cooperative effort on process emissions in Manufacturing part 2 case studies
International Journal of Life Cycle Assessment, 2012Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Purpose This report presents two case studies, one for both the screening approach and the in-depth approach, demonstrating the application of the life cycle assessment-oriented methodology for systematic inventory analysis of the machine tool use phase of Manufacturing Unit processes, which has been developed in the framework of the CO2PE! collaborative research programme (CO2PE! 2011) and is described in part 1 of this paper (Kellens et al. 2011).
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Methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory (UPLCI) Part 2: Case Studies
International Journal of Life Cycle Assessment, 2011Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Click on the DOI link below to access the article (may not be free).This report presents two case studies, one for both the screening approach and the in-depth approach, demonstrating the application of the life cycle assessment-oriented methodology for systematic inventory analysis of the machine tool use phase of Manufacturing Unit processes, which has been developed in the framework of the CO2PE! collaborative research programme (CO2PE! 2011) and is described in part 1 of this paper (Kellens et al. 2011). The screening approach, which provides a first insight into the Unit process and results in a set of approximate LCI data, relies on representative industrial data and engineering calculations for energy use and material loss. This approach is illustrated by means of a case study of a drilling process. The in-depth approach, which leads to more accurate LCI data as well as the identification of potential for environmental improvements of the Manufacturing Unit processes, is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The procedure of this approach, together with the proposed CO2PE! template, is illustrated by means of a case study of a laser cutting process. The CO2PE! methodology aims to provide high-quality LCI data for the machine tool use phase of Manufacturing Unit processes, to be used in life cycle inventory databases and libraries, as well as to identify potential for environmental improvement based on the in-depth analysis of individual Manufacturing Unit processes. Two case studies illustrate the applicability of the methodology.Peer reviewed articl
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Methodology for systematic analysis and improvement of Manufacturing Unit process life cycle inventory (UPLCI) Part 1: Methodology Description
International Journal of Life Cycle Assessment, 2011Co-Authors: Karel Kellens, Michael Overcash, Wim Dewulf, Michael Zwicky Hauschild, Joost DuflouAbstract:Click on the DOI link below to access the article (may not be free).This report proposes a life-cycle analysis (LCA)-oriented methodology for systematic inventory analysis of the use phase of Manufacturing Unit processes providing Unit process datasets to be used in life-cycle inventory (LCI) databases and libraries. The methodology has been developed in the framework of the CO(2)PE! collaborative research programme (CO(2)PE! 2011a) and comprises two approaches with different levels of detail, respectively referred to as the screening approach and the in-depth approach. The screening approach relies on representative, publicly available data and engineering calculations for energy use, material loss, and identification of variables for improvement, while the in-depth approach is subdivided into four modules, including a time study, a power consumption study, a consumables study and an emissions study, in which all relevant process in- and outputs are measured and analysed in detail. The screening approach provides the first insight in the Unit process and results in a set of approximate LCI data, which also serve to guide the more detailed and complete in-depth approach leading to more accurate LCI data as well as the identification of potential for energy and resource efficiency improvements of the Manufacturing Unit process. To ensure optimal reproducibility and applicability, documentation guidelines for data and metadata are included in both approaches. Guidance on definition of functional Unit and reference flow as well as on deter! mination of system boundaries specifies the generic goal and scope definition requirements according to ISO 14040 (2006) and ISO 14044 (2006). The proposed methodology aims at ensuring solid foundations for the provision of high-quality LCI data for the use phase of Manufacturing Unit processes. Envisaged usage encompasses the provision of high-quality data for LCA studies of products using these Unit process datasets for the Manufacturing processes, as well as the in-depth analysis of individual Manufacturing Unit processes. In addition, the accruing availability of data for a range of similar machines (same process, different suppliers and machine capacities) will allow the establishment of parametric emission and resource use estimation models for a more streamlined LCA of products including reliable Manufacturing process data. Both approaches have already provided useful results in some initial case studies (Kellens et al. 2009; Duflou et al. (Int J Sustain Manufacturing 2:80-98, 2010); Santos et al. (J Clean Prod 19:356-364, 2011); UPLCI 2011; Kellens et al. 2011a) and the use will be illustrated by two case studies in Part 2 of this paper (Kellens et al. 2011b).Peer reviewed articl
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PerMIS - Manufacturing Unit process life cycle inventories (Uplci)
Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems - PerMIS '09, 2009Co-Authors: Michael Overcash, Janet Twomey, Jackie IsaacsAbstract:Tools to make environmentally informed product decisions at the design stage have long been an identified need of the Manufacturing commUnity. Potential solutions to address this need have been one of the topics of a series of National Science Foundation funded international workshops in the area of environmentally benign design and manufacture (EBDM). This paper reports one outcome of those workshops and the progress toward the development of a new approach to use Manufacturing Unit processes as the basis for evaluating environmental impacts at the Manufacturing phase of a product's life cycle. The research presented here is funded through a Department of Energy award DOE DE-FG36-08GO88149.
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Unit process life cycle inventory for product Manufacturing operations
ASME 2009 International Manufacturing Science and Engineering Conference Volume 1, 2009Co-Authors: Michael Overcash, Janet Twomey, Devi K KallaAbstract:Rapid access to or generation of life cycle information is a potentially valuable tool for the design of products to meet the needs of sustainability improvement. A new approach is developed to use the Manufacturing Unit process, commonly outlined in Manufacturing process taxonomy systems, as the basis for life cycle inventory. This will initially involve 50–70 Unit processes from the taxonomy and will generate energy and mass profiles for each Unit process life cycle (uplci). These uplci can be adjusted for each case to include the major variables affecting such operations as related to any specific product. The sum of the performance of a sequence of uplci thus provides the life cycle of the specific product from a defined set of plant process inputs.Copyright © 2009 by ASME
