Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing

Bo Xingl; Wen Ling Gao; Kimberly Battle; Tshilidzi Marwala; Fulufhelo V. Nelwamondo

doi:10.1109/ICSMC.2010.5641894

Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing

Bo Xingl
, Wen Ling Gao
, Kimberly Battle
, Tshilidzi Marwala
, Fulufhelo V. Nelwamondo

Faculty of Engineering and the Built Environment

University of Johannesburg
Council for Scientific and Industrial Research

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

2 Citations (Scopus)

Abstract

In this work, we propose the bridge crane travel path optimization for batch order picking (BOP). Successful solving this problem is valuable to many application areas in manufacturing systems. We then investigate the feasibility of using ant colony optimization (ACO) meta-heuristics to address the proposed problem. Simulation tests are executed separately based on two ACO algorithms. Finally, the bridge crane operating performance measure index is employed to evaluate the experimental results achieved by different ACO algorithms. Experimental case study demonstrates the effectiveness and applicability of the selected ACO approaches to our proposed BOP problem for bridge crane.

Original language	English
Title of host publication	2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Pages	2795-2799
Number of pages	5
DOIs	https://doi.org/10.1109/ICSMC.2010.5641894
Publication status	Published - 2010
Event	2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey Duration: 10 Oct 2010 → 13 Oct 2010

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Country/Territory	Turkey
City	Istanbul
Period	10/10/10 → 13/10/10

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Ant colony optimization
Batch order picking
Bridge crane
Cellular manufacturing

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/ICSMC.2010.5641894

Cite this

Xingl, B., Gao, W. L., Battle, K., Marwala, T., & Nelwamondo, F. V. (2010). Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing. In 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 (pp. 2795-2799). Article 5641894 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2010.5641894

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title = "Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing",

abstract = "In this work, we propose the bridge crane travel path optimization for batch order picking (BOP). Successful solving this problem is valuable to many application areas in manufacturing systems. We then investigate the feasibility of using ant colony optimization (ACO) meta-heuristics to address the proposed problem. Simulation tests are executed separately based on two ACO algorithms. Finally, the bridge crane operating performance measure index is employed to evaluate the experimental results achieved by different ACO algorithms. Experimental case study demonstrates the effectiveness and applicability of the selected ACO approaches to our proposed BOP problem for bridge crane.",

keywords = "Ant colony optimization, Batch order picking, Bridge crane, Cellular manufacturing",

author = "Bo Xingl and Gao, \{Wen Ling\} and Kimberly Battle and Tshilidzi Marwala and Nelwamondo, \{Fulufhelo V.\}",

year = "2010",

doi = "10.1109/ICSMC.2010.5641894",

language = "English",

isbn = "9781424465880",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

pages = "2795--2799",

booktitle = "2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010",

note = "2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 ; Conference date: 10-10-2010 Through 13-10-2010",

}

Xingl, B, Gao, WL, Battle, K, Marwala, T & Nelwamondo, FV 2010, Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing. in 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010., 5641894, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2795-2799, 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010, Istanbul, Turkey, 10/10/10. https://doi.org/10.1109/ICSMC.2010.5641894

Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing. / Xingl, Bo; Gao, Wen Ling; Battle, Kimberly et al.
2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010. 2010. p. 2795-2799 5641894 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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

TY - GEN

T1 - Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing

AU - Xingl, Bo

AU - Gao, Wen Ling

AU - Battle, Kimberly

AU - Marwala, Tshilidzi

AU - Nelwamondo, Fulufhelo V.

PY - 2010

Y1 - 2010

N2 - In this work, we propose the bridge crane travel path optimization for batch order picking (BOP). Successful solving this problem is valuable to many application areas in manufacturing systems. We then investigate the feasibility of using ant colony optimization (ACO) meta-heuristics to address the proposed problem. Simulation tests are executed separately based on two ACO algorithms. Finally, the bridge crane operating performance measure index is employed to evaluate the experimental results achieved by different ACO algorithms. Experimental case study demonstrates the effectiveness and applicability of the selected ACO approaches to our proposed BOP problem for bridge crane.

AB - In this work, we propose the bridge crane travel path optimization for batch order picking (BOP). Successful solving this problem is valuable to many application areas in manufacturing systems. We then investigate the feasibility of using ant colony optimization (ACO) meta-heuristics to address the proposed problem. Simulation tests are executed separately based on two ACO algorithms. Finally, the bridge crane operating performance measure index is employed to evaluate the experimental results achieved by different ACO algorithms. Experimental case study demonstrates the effectiveness and applicability of the selected ACO approaches to our proposed BOP problem for bridge crane.

KW - Ant colony optimization

KW - Batch order picking

KW - Bridge crane

KW - Cellular manufacturing

UR - https://www.scopus.com/pages/publications/78751560419

U2 - 10.1109/ICSMC.2010.5641894

DO - 10.1109/ICSMC.2010.5641894

M3 - Conference contribution

AN - SCOPUS:78751560419

SN - 9781424465880

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 2795

EP - 2799

BT - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010

T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010

Y2 - 10 October 2010 through 13 October 2010

ER -

Xingl B, Gao WL, Battle K, Marwala T, Nelwamondo FV. Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing. In 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010. 2010. p. 2795-2799. 5641894. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.2010.5641894

Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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