Abstract
There is a growing need in industries worldwide to become more sustainable and energy efficient. Due to rapid increase in demand of goods, there has been a rise in demand of logistics and operational services. This necessitates needs for a large number of warehouses and distribution centers to satisfy demand. It is imperative that warehouses follow the same sustainable development model practiced in other industries. This paper extends energy efficiency techniques suggested for manufacturing to warehousing. Specifically, warehouses are modeled as M/M/c queues where forklifts are servers and this model is used to evaluate performance of energy control policies. The model is then extended to general distribution queues. Experiments based on real-world data yield results that indicate that for system utilization values between 40% and 100%, as the number of servers in the system increases by a factor of 4, energy consumption increases by a factor of 3.78.
| Original language | English (US) |
|---|---|
| Title of host publication | IFIP Advances in Information and Communication Technology |
| Publisher | Springer New York LLC |
| Pages | 390-397 |
| Number of pages | 8 |
| Volume | 439 |
| Edition | PART 2 |
| ISBN (Print) | 9783662447352 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2014 - Ajaccio, France Duration: Sep 20 2014 → Sep 24 2014 |
Publication series
| Name | IFIP Advances in Information and Communication Technology |
|---|---|
| Number | PART 2 |
| Volume | 439 |
| ISSN (Print) | 18684238 |
Other
| Other | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2014 |
|---|---|
| Country | France |
| City | Ajaccio |
| Period | 9/20/14 → 9/24/14 |
Fingerprint
Keywords
- Energy control
- Forklifts
- Queueing
- Warehousing
ASJC Scopus subject areas
- Information Systems and Management
Cite this
Energy-Aware Models for Warehousing Operations. / Anand, Vidyuth; Lee, Seok Gi; Prabhu, Vittaldas V.
IFIP Advances in Information and Communication Technology. Vol. 439 PART 2. ed. Springer New York LLC, 2014. p. 390-397 (IFIP Advances in Information and Communication Technology; Vol. 439, No. PART 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Energy-Aware Models for Warehousing Operations
AU - Anand, Vidyuth
AU - Lee, Seok Gi
AU - Prabhu, Vittaldas V.
PY - 2014
Y1 - 2014
N2 - There is a growing need in industries worldwide to become more sustainable and energy efficient. Due to rapid increase in demand of goods, there has been a rise in demand of logistics and operational services. This necessitates needs for a large number of warehouses and distribution centers to satisfy demand. It is imperative that warehouses follow the same sustainable development model practiced in other industries. This paper extends energy efficiency techniques suggested for manufacturing to warehousing. Specifically, warehouses are modeled as M/M/c queues where forklifts are servers and this model is used to evaluate performance of energy control policies. The model is then extended to general distribution queues. Experiments based on real-world data yield results that indicate that for system utilization values between 40% and 100%, as the number of servers in the system increases by a factor of 4, energy consumption increases by a factor of 3.78.
AB - There is a growing need in industries worldwide to become more sustainable and energy efficient. Due to rapid increase in demand of goods, there has been a rise in demand of logistics and operational services. This necessitates needs for a large number of warehouses and distribution centers to satisfy demand. It is imperative that warehouses follow the same sustainable development model practiced in other industries. This paper extends energy efficiency techniques suggested for manufacturing to warehousing. Specifically, warehouses are modeled as M/M/c queues where forklifts are servers and this model is used to evaluate performance of energy control policies. The model is then extended to general distribution queues. Experiments based on real-world data yield results that indicate that for system utilization values between 40% and 100%, as the number of servers in the system increases by a factor of 4, energy consumption increases by a factor of 3.78.
KW - Energy control
KW - Forklifts
KW - Queueing
KW - Warehousing
UR - http://www.scopus.com/inward/record.url?scp=84906926882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906926882&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-44736-9_48
DO - 10.1007/978-3-662-44736-9_48
M3 - Conference contribution
AN - SCOPUS:84906926882
SN - 9783662447352
VL - 439
T3 - IFIP Advances in Information and Communication Technology
SP - 390
EP - 397
BT - IFIP Advances in Information and Communication Technology
PB - Springer New York LLC
ER -