Warehouse workload control for production logistic

Bingzhu Chen; Ting Qu; Matthias Thürer; George Q. Huang; Congdong Li; Suxiu Xu

doi:10.1109/COASE.2017.8256109

Warehouse workload control for production logistic

Bingzhu Chen, Ting Qu^*, Matthias Thürer, George Q. Huang, Congdong Li, Suxiu Xu

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Warehouse operation is an important part of the production logistics process. The intelligent warehouse management not only requires hardware technical support, but also need a reasonable control technology. The growing market demand has made the manufacturing company's finished goods warehouse lack of capacity, how to use warehouse control technology to alleviate this problem is a valuable research topic. Workload control is a production planning and control technique that balances demand and capability, and its application is to solve the limited capacity of storage resources. Based on Workload Control, this paper expands the applicability of Workload control for the warehouse, including designing the sequencing rules for the temporary storage area, the order release rules for the warehouse, the storage assignment strategy for the warehouse, to control the process of warehouse operation and effectively balance demand and capacity of the warehouse, in order to reduce the average storage time and percentage of tardy order.

Original language	English
Title of host publication	2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Publisher	IEEE Computer Society
Pages	237-242
Number of pages	6
ISBN (Electronic)	9781509067800
DOIs	https://doi.org/10.1109/COASE.2017.8256109
Publication status	Published - 1 Jul 2017
Externally published	Yes
Event	13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China Duration: 20 Aug 2017 → 23 Aug 2017

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2017-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	13th IEEE Conference on Automation Science and Engineering, CASE 2017
Country/Territory	China
City	Xi'an
Period	20/08/17 → 23/08/17

Access to Document

10.1109/COASE.2017.8256109

Cite this

@inproceedings{46b2fa729ece44ee84d13f043cd92f64,

title = "Warehouse workload control for production logistic",

abstract = "Warehouse operation is an important part of the production logistics process. The intelligent warehouse management not only requires hardware technical support, but also need a reasonable control technology. The growing market demand has made the manufacturing company's finished goods warehouse lack of capacity, how to use warehouse control technology to alleviate this problem is a valuable research topic. Workload control is a production planning and control technique that balances demand and capability, and its application is to solve the limited capacity of storage resources. Based on Workload Control, this paper expands the applicability of Workload control for the warehouse, including designing the sequencing rules for the temporary storage area, the order release rules for the warehouse, the storage assignment strategy for the warehouse, to control the process of warehouse operation and effectively balance demand and capacity of the warehouse, in order to reduce the average storage time and percentage of tardy order.",

author = "Bingzhu Chen and Ting Qu and Matthias Th{\"u}rer and Huang, {George Q.} and Congdong Li and Suxiu Xu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE Conference on Automation Science and Engineering, CASE 2017 ; Conference date: 20-08-2017 Through 23-08-2017",

year = "2017",

month = jul,

day = "1",

doi = "10.1109/COASE.2017.8256109",

language = "English",

series = "IEEE International Conference on Automation Science and Engineering",

publisher = "IEEE Computer Society",

pages = "237--242",

booktitle = "2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017",

address = "United States",

}

Chen, B, Qu, T, Thürer, M, Huang, GQ, Li, C & Xu, S 2017, Warehouse workload control for production logistic. in 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE International Conference on Automation Science and Engineering, vol. 2017-August, IEEE Computer Society, pp. 237-242, 13th IEEE Conference on Automation Science and Engineering, CASE 2017, Xi'an, China, 20/08/17. https://doi.org/10.1109/COASE.2017.8256109

Warehouse workload control for production logistic. / Chen, Bingzhu; Qu, Ting; Thürer, Matthias et al.
2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE Computer Society, 2017. p. 237-242 (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August).

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

TY - GEN

T1 - Warehouse workload control for production logistic

AU - Chen, Bingzhu

AU - Qu, Ting

AU - Thürer, Matthias

AU - Huang, George Q.

AU - Li, Congdong

AU - Xu, Suxiu

PY - 2017/7/1

Y1 - 2017/7/1

N2 - Warehouse operation is an important part of the production logistics process. The intelligent warehouse management not only requires hardware technical support, but also need a reasonable control technology. The growing market demand has made the manufacturing company's finished goods warehouse lack of capacity, how to use warehouse control technology to alleviate this problem is a valuable research topic. Workload control is a production planning and control technique that balances demand and capability, and its application is to solve the limited capacity of storage resources. Based on Workload Control, this paper expands the applicability of Workload control for the warehouse, including designing the sequencing rules for the temporary storage area, the order release rules for the warehouse, the storage assignment strategy for the warehouse, to control the process of warehouse operation and effectively balance demand and capacity of the warehouse, in order to reduce the average storage time and percentage of tardy order.

AB - Warehouse operation is an important part of the production logistics process. The intelligent warehouse management not only requires hardware technical support, but also need a reasonable control technology. The growing market demand has made the manufacturing company's finished goods warehouse lack of capacity, how to use warehouse control technology to alleviate this problem is a valuable research topic. Workload control is a production planning and control technique that balances demand and capability, and its application is to solve the limited capacity of storage resources. Based on Workload Control, this paper expands the applicability of Workload control for the warehouse, including designing the sequencing rules for the temporary storage area, the order release rules for the warehouse, the storage assignment strategy for the warehouse, to control the process of warehouse operation and effectively balance demand and capacity of the warehouse, in order to reduce the average storage time and percentage of tardy order.

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M3 - Conference contribution

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T3 - IEEE International Conference on Automation Science and Engineering

SP - 237

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BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017

PB - IEEE Computer Society

T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017

Y2 - 20 August 2017 through 23 August 2017

ER -

Warehouse workload control for production logistic

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