Loading...
Operational methods for minimization of energy consumption of manufacturing equipment
Mouzon, Gilles C. ; Yildirim, Mehmet Bayram ; Twomey, Janet M.
Mouzon, Gilles C.
Yildirim, Mehmet Bayram
Twomey, Janet M.
Citations
Altmetric:
Files
Loading...
Peer reviewed article
Adobe PDF, 583.95 KB
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2007-05
Type
Article
Genre
Keywords
Energy efficient production planning,Sustainable manufacturing,Green manufacturing,Single machine scheduling
Subjects (LCSH)
Citation
Abstract
This paper develops operational methods for the minimization of the energy
consumption of manufacturing equipment. It is observed that there can be a
significant amount of energy savings when non-bottleneck (i.e. underutilized)
machines/equipment are turned off when they will be idle for a certain
amount of time. Using this fact, several dispatching rules are proposed. A detailed
performance analysis indicates that the proposed dispatching rules are effective in
decreasing the energy consumption of especially underutilized manufacturing
equipment. In addition, a multi-objective mathematical programming model
is proposed to minimize the energy consumption and total completion time.
Using this approach, a production manager will have a set of non-dominated
solutions (i.e. the set of efficient solutions) which he/she can use to determine
the most efficient production sequence which will minimize the total energy
consumption while optimizing the total completion time.
Table of Contents
Description
This is the author's version of the work. It is posted here by permission of Taylor & Francis for personal use, not for redistribution. The definitive version was published inInternational Journal of Production Research, Vol. 45, Nos. 18–19, 15 September–1 October 2007. WSU users can access the definitive version of this article at: http://libcat.wichita.edu/vwebv/holdingsInfo?searchId=7751&recCount=30&recPointer=1&bibId=1327888
Publisher
Taylor & Francis
Journal
International Journal of Production Research
Book Title
Series
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
0020-7543
