Impact of sustainable project management on project plan and project success of the manufacturing firm: Structural model assessment
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ABSTRACT:
SUBMITTER: Chow T
PROVIDER: S-EPMC8612515 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Manufacturing is a crucial activity of product development that feeds into and is also influenced by the design process. Any material conservation gained during manufacturing directly affects the green credentials of a product. Manufacturing waste can be contrived to approach zero through a recently developed frugal design approach that quantifies resource conservation at all stages of development of a product engineered for frugality. Accordingly, this effort presents frugal manufacturing (FM), integral to the frugal design approach, for utmost reduction of waste while aiming for good surface integrity, better properties, minimal number of processes and low cost. Other than saving on energy and hence emissions, the new concept of FM also goes beyond current near net shape technologies, which advocate mainly for zero wastage and suitable properties while using a narrow range of manufacturing processes. Case studies involving high-speed machining, superplastic forming and additive manufacturing of aerospace alloys have been presented that bring out the features and benefits of FM. As such the multipronged objectives of FM should be dovetailed with those of smart factories for creating novel technologies that abet widespread sustainable development. Such enhancement of the smart factories concept has been argued to support unusual applications such as the fight against pandemics including the current one involving COVID-19.
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Project description:Pandemics like COVID-19 have created a spreading and ever-higher healthy threat to the humans in the manufacturing system which incurs severe disruptions and complex issues to industrial networks. The intelligent manufacturing (IM) systems are promising to create a safe working environment by using the automated manufacturing assets which are monitored by the networked sensors and controlled by the intelligent decision-making algorithms. The relief of the production disruption by IM technologies facilitates the reconnection of the good and service flows in the network, which mitigates the severity of industrial chain disruption. In this study, we create a novel intelligent manufacturing framework for the production recovery under the pandemic and build an assessment model to evaluate the impacts of the IM technologies on industrial networks. Considering the constraints of the IM resources, we formulate an optimization model to schedule the allocation of IM resources according to the mutual market demands and the severity of the pandemic.
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