product disassembly;
information model;
product recovery;
sustainable manufacturing;
DESIGN;
D O I:
10.1115/1.4039849
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Disassembly, a process of separating the end of life (EOL) product into discrete components for re-utilizing their associated residual values, is an important enabler for the sustainable manufacturing. This work focuses on the modeling of the disassembly planning related information and develops a disassembly information model (DIM) based on an extensive investigation of various informational aspects in the domain of disassembly planning. The developed DIM, which represents an appropriate systematization and classification of the products, processes, uncertainties, and degradations related information, follows a layered modeling methodology in which DIM is subdivided into layers with the intent to separate general knowledge into different levels of abstractions and reach a balance between information reusability and information usability. Two prototype disassembly planning related applications have been incorporated to validate the usability and reusability of the developed DIM.
机构:
Stanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Stanford Univ, Neurosci Interdept Program, 3145 Porter Dr, Palo Alto, CA 94304 USAStanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Stockham, Nathaniel
Washington, Peter
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Dept Bioengn, Stanford, CA USAStanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Washington, Peter
Chrisman, Brianna
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Dept Bioengn, Stanford, CA USAStanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Chrisman, Brianna
Paskov, Kelley
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Biomed Informat Program, Stanford, CA USAStanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Paskov, Kelley
Jung, Jae-Yoon
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Dept Biomed Data Sci, Stanford, CA USAStanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Jung, Jae-Yoon
Wall, Dennis Paul
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Dept Biomed Data Sci, Stanford, CA USA
Stanford Univ, Dept Pediat, Stanford, CA USAStanford Univ, Neurosci Interdept Program, Palo Alto, CA USA
Wall, Dennis Paul
JMIR PUBLIC HEALTH AND SURVEILLANCE,
2022,
8
(07):