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contributor authorRaman, Arvind Shankar;Morris, K. C.;Haapala, Karl R.
date accessioned2022-12-27T23:13:04Z
date available2022-12-27T23:13:04Z
date copyright5/20/2022 12:00:00 AM
date issued2022
identifier issn1530-9827
identifier otherjcise_23_2_021005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288135
description abstractOver the past two decades, numerous efforts have characterized manufacturing processes for sustainability performance. These efforts have been pursued primarily by manufacturing researchers in academic and governmental labs, and involve the development of frameworks, methodologies, and standards for characterizing discrete manufacturing processes and their representation as information models. Furthermore, characterization of sustainability performance of manufacturing process flows has been attempted through linking, or composing, these unit manufacturing process (UMP) models. This paper reviews these efforts and identifies existing research gaps that should be addressed by academic, industrial, and governmental researchers. The review includes the relevant sustainable manufacturing standards that have been recently published by ASTM International. A methodology for creating and extending composable models of UMPs that build upon these standards is presented. This research demonstrates how formalization of these prior efforts can address the identified gaps. It is shown that the reuse of UMP models can be enabled by encapsulating specific characteristics of complex processes into information models that can be applied for detailed process analysis and evaluation. This research proposes the concept of a template UMP information model, which can further be abstracted and customized to represent an application-specific, higher-order manufacturing process model. The template model concept is illustrated for manual and computer numerically controlled (CNC) milling processes.
publisherThe American Society of Mechanical Engineers (ASME)
titleReusing and Extending Standards-Based Unit Manufacturing Process Models for Characterizing Sustainability Performance
typeJournal Paper
journal volume23
journal issue2
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4054487
journal fristpage21005
journal lastpage21005_12
page12
treeJournal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 002
contenttypeFulltext


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