Treffer: Multi-criteria decision making for disassembly-to-order system under stochastic yields

Title:
Multi-criteria decision making for disassembly-to-order system under stochastic yields
Source:
Environmental conscious manufacturing IV (Philadelphia PA, 26-27 October 2004)SPIE proceedings series. :147-162
Publisher Information:
Bellingham WA: SPIE, 2004.
Publication Year:
2004
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratory for Responsible Manufacturing, 334 SN, Department of MIE, Northeastern University, 360 Huntington Avenue, Boston, MA 02115, United States
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mechanical engineering. Mechanical construction. Handling
Accession Number:
edscal.16783441
Database:
PASCAL Archive

Weitere Informationen

In this paper, we consider the problem of determining the optimal number of returned products to disassemble to fulfill the demand for a specified number of parts. This is known as the disassembly-to-order (DTO) problem. The deterministic yield version of this problem has been addressed in the literature. Recently, the stochastic yield version of this problem with a single objective has also been reported in the literature. In this paper, we extend the methodology to include multiple objectives. To this end, we model the DTO problem using integer goal programming. The stochastic problem is solved by transforming it into its deterministic equivalent problem. This conversion is accomplished by considering the specific structures of the products with one core and one part (one-to-one structure) and apply it to handle the products with one core and multiple parts (one-to-many structure). For these special cases it is possible to solve the stochastic problem analytically so that valuable insights can be gained by comparing the stochastic and deterministic solutions. This will help us to determine effective deterministic yield equivalents. We present a case example to illustrate the methodology.