Graduate Thesis Or Dissertation
 

Process Information Modeling for Characterizing Sustainability Performance of Cyclic Manufacturing Processes

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/hq37vt97m

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  • Sustainability has become an unprecedented priority in global manufacturing due to the growing concerns over issues such as an aging workforce, environmental degradation, and public health. The simultaneous consideration of the economic, environmental, and social aspects – often referred to as the “three pillars of sustainability” – is crucial to the pursuit of sustainable manufacturing. To achieve the goal of environmentally responsible manufacturing, a key aspect of sustainable manufacturing, industrialists and researchers in the manufacturing community must characterize process energy impacts to improve both the economic and the environmental performance of manufacturing operations. Flexible and rapid manufacturing processes are gaining traction due to their suitability for the production of parts exhibiting complex geometries and the use of advanced materials. The technical limitations and environmental concerns of conventional unit processes and sequential process flows have led to widespread adoption of advanced manufacturing processes that exhibit cyclic nature, termed cyclic manufacturing processes. Manufacturing technology research has focused on developing additive and hybrid processes, which exhibit a cyclic nature and enable flexible and rapid production, effectively shortening the time-to-market, decreasing the manufacturing process chain, and reducing production costs. With the growing adoption of cyclic manufacturing processes as an alternative to conventional unit processes and sequential process flows, it is necessary for developers and users of these technologies to incorporate broader sustainability considerations during process development, product design, and process planning activities. However, characterization of cyclic manufacturing processes, such as hybrid manufacturing processes, is a challenge due to the complex, integrated, cyclic nature of subprocesses, which require a higher level of information synthesis than individual, or unit, manufacturing processes. The overarching goal of this research is to facilitate environmental performance modeling of cyclic manufacturing processes by developing a uniform process information modeling methodology comprising of a manufacturing process modeling framework and an information modeling framework. Such a methodology will enable characterization, assessment, and extraction of product and process sustainability information through model reusability, extensibility, and composability. Achieving this goal will enable the modeling of hybrid manufacturing process and advance the sustainability evaluation of cyclic manufacturing processes.
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