contributor author | Ocker, Felix | |
contributor author | Vogel-Heuser, Birgit | |
contributor author | Paredis, Christiaan J. J. | |
date accessioned | 2019-09-18T09:02:07Z | |
date available | 2019-09-18T09:02:07Z | |
date copyright | 7/18/2019 12:00:00 AM | |
date issued | 2019 | |
identifier issn | 1530-9827 | |
identifier other | jcise_19_4_041016 | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4258094 | |
description abstract | In the product development process, as it is currently practiced, production is still often neglected in the early design phases, leading to late and costly changes. Using the knowledge of product designers concerning production process design, this paper introduces an ontological framework that enables early feasibility analyses. In this way, the number of iterations between product and process design can almost certainly be reduced, which would accelerate the product development process. Additionally, the approach provides process engineers with possible production sequences that can be used for process planning. To provide feasibility feedback, the approach presented relies on semantic web technologies. An ontology was developed that supports designers to model the relations among products, processes, and resources in a way that allows the use of generic Sparql Protocol And RDF Query Language (SPARQL) queries. Future applicability of this approach is ensured by aligning it with the top-level ontology Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE). We also compare the ontology’s universals to fundamental classes of existing knowledge bases from the manufacturing and the batch processing domains. This comparison demonstrates the approach’s domain-independent applicability. Two proofs of concept are described, one in the manufacturing domain and one in the batch processing domain. | |
publisher | American Society of Mechanical Engineers (ASME) | |
title | Applying Semantic Web Technologies to Provide Feasibility Feedback in Early Design Phases | |
type | Journal Paper | |
journal volume | 19 | |
journal issue | 4 | |
journal title | Journal of Computing and Information Science in Engineering | |
identifier doi | 10.1115/1.4043795 | |
journal fristpage | 41016 | |
journal lastpage | 041016-12 | |
tree | Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 004 | |
contenttype | Fulltext | |