Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

시간대별 차등 전기요금을 고려한 최소비용 장비운용계획Optimal Machine Operation Planning under Time-based Electricity Rates

Other Titles
Optimal Machine Operation Planning under Time-based Electricity Rates
Authors
김인호옥창수
Issue Date
2014
Publisher
한국산업경영시스템학회
Keywords
Machine Operation Planning; Integer Programming; Time-based Electricity Rate; Theory of Constraints
Citation
한국산업경영시스템학회지, v.37, no.4, pp.63 - 71
Journal Title
한국산업경영시스템학회지
Volume
37
Number
4
Start Page
63
End Page
71
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16837
ISSN
2005-0461
Abstract
As power consumption increases, more power utilities are required to satisfy the demand and consequently results in tremendouscost to build the utilities. Another issue in construction of power utilities to meet the peak demand is an inefficiency causedby surplus power during non-peak time. Therefore, most power company considers power demand management with time-basedelectricity rate policy which applies different rate over time. This paper considers an optimal machine operation problem underthe time-based electricity rates. In TOC (Theory of Constraints), the production capacities of all machines are limited to oneof the bottleneck machine to minimize the WIP (work in process). In the situation, other machines except the bottleneck areable to stop their operations without any throughput loss of the whole manufacturing line for saving power utility cost. To considerthis problem three integer programming models are introduced. The three models include (1) line shutdown, (2) block shutdown,and (3) individual machine shutdown. We demonstrate the effectiveness of the proposed IP models through diverse experiments,by comparing with a TOC-based machine operation planning considered as a current model.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Industrial and Data Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ok, Chang Soo photo

Ok, Chang Soo
Engineering (Department of Industrial and Data Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE