Energy-Aware Models for Warehousing Operations

Vidyuth Anand; Seokgi Lee; Vittaldas V. Prabhu

doi:10.1007/978-3-662-44736-9_48

Energy-Aware Models for Warehousing Operations

Vidyuth Anand, Seokgi Lee, Vittaldas V. Prabhu

Marcus Department of Industrial and Manufacturing Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

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	Advances in Production Management Systems
Subtitle of host publication	Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Proceedings
Publisher	Springer New York LLC
Pages	390-397
Number of pages	8
Edition	PART 2
ISBN (Print)	9783662447352
DOIs	https://doi.org/10.1007/978-3-662-44736-9_48
State	Published - 2014
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)	1868-4238

Other

Other	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2014
Country/Territory	France
City	Ajaccio
Period	9/20/14 → 9/24/14

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications
Information Systems and Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-662-44736-9_48

Cite this

Anand, V., Lee, S., & Prabhu, V. V. (2014). Energy-Aware Models for Warehousing Operations. In Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Proceedings (PART 2 ed., pp. 390-397). (IFIP Advances in Information and Communication Technology; Vol. 439, No. PART 2). Springer New York LLC. https://doi.org/10.1007/978-3-662-44736-9_48

Anand, Vidyuth ; Lee, Seokgi ; Prabhu, Vittaldas V. / Energy-Aware Models for Warehousing Operations. Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Proceedings. PART 2. ed. Springer New York LLC, 2014. pp. 390-397 (IFIP Advances in Information and Communication Technology; PART 2).

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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.",

author = "Vidyuth Anand and Seokgi Lee and Prabhu, {Vittaldas V.}",

year = "2014",

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Anand, V, Lee, S & Prabhu, VV 2014, Energy-Aware Models for Warehousing Operations. in Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Proceedings. PART 2 edn, IFIP Advances in Information and Communication Technology, no. PART 2, vol. 439, Springer New York LLC, pp. 390-397, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2014, Ajaccio, France, 9/20/14. https://doi.org/10.1007/978-3-662-44736-9_48

Energy-Aware Models for Warehousing Operations. / Anand, Vidyuth; Lee, Seokgi; Prabhu, Vittaldas V.
Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Proceedings. 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

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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.

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Anand V, Lee S, Prabhu VV. Energy-Aware Models for Warehousing Operations. In Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World - IFIP WG 5.7 International Conference, APMS 2014, Proceedings. PART 2 ed. Springer New York LLC. 2014. p. 390-397. (IFIP Advances in Information and Communication Technology; PART 2). doi: 10.1007/978-3-662-44736-9_48

Energy-Aware Models for Warehousing Operations

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

UN SDGs

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