NDLI: Ontology-based disassembly information system for enhancing disassembly planning and design

Content Provider	Springer Nature Link
Author	Zhu, Bicheng Roy, Utpal
Copyright Year	2015
Abstract	Disassembly, as one of the core steps in the end of life (EOL) activities, has been a popular topic both in industrial and academic areas. Unlike assembly, any practical disassembly process planning, which is very important for material recycling or component reuse, is still a topic of active research. One major obstacle in developing an optimal disassembly process planning system is the uncertain characteristics of the EOL products (uncertain information), such as the quality and quantity of the components and parts, which normally make a deterministic disassembly process planning impossible. How to represent and further use such uncertain information in reasoning about a realistic optimal disassembly process sequence are the most important research issues. This paper addresses these issues by developing a disassembly information framework which consists of both an ontology-based information model (domain semantics and rules) and a computational model (process planning generation methodology). The explicit domain concepts, relationships, or rules developed in the ontology-based information enhance the process planning generation methodology (computational model) and thus make the planning process efficient and more realistic. Examples are used in the end to illustrate the use of the proposed framework and methodology.
Starting Page	1595
Ending Page	1608
Page Count	14
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	78
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-01-11
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Uncertainty representation EOL Information model Sustainable manufacturing Sequence optimization Ontology Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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