A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture

Cassandra X. H. Tang; Henry C. W. Lau

A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture

Cassandra X. H. Tang, Henry C. W. Lau

School of Business

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

This paper is aimed to develop a fuzzy-guided GA decision model to improve efficiency in a multi-customer warehouse by taking into consideration the performance metrics and various driving factors of the processes embedded. The proposed hybrid framework targets at providing decision makers with the ability to formulate nearly optimal sets of knowledge-based fuzzy rules to identify possible solutions for fully utilising the warehouse capacity.

Original language	English
Title of host publication	SCMIS 2010 : Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems : Conference theme, Logistics Systems and Engineering : 6th-8th October 2010, Hong Kong, China
Publisher	IEEE
Number of pages	6
ISBN (Print)	9789623676960
Publication status	Published - 2010
Event	International Conference on Supply Chain Management and Information Systems ‡n (8th : ‡d 2010 : ‡c Hong Kong, China) - Duration: 1 Jan 2010 → …

Conference

Conference	International Conference on Supply Chain Management and Information Systems ‡n (8th : ‡d 2010 : ‡c Hong Kong, China)
Period	1/01/10 → …

Keywords

genetic algorithms
warehouses
supply chain management
fuzzy logic

Cite this

@inproceedings{a21bb58cef154bbfa116d3cd4d90acd9,

title = "A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture",

abstract = "This paper is aimed to develop a fuzzy-guided GA decision model to improve efficiency in a multi-customer warehouse by taking into consideration the performance metrics and various driving factors of the processes embedded. The proposed hybrid framework targets at providing decision makers with the ability to formulate nearly optimal sets of knowledge-based fuzzy rules to identify possible solutions for fully utilising the warehouse capacity.",

keywords = "genetic algorithms, warehouses, supply chain management, fuzzy logic",

author = "Tang, {Cassandra X. H.} and Lau, {Henry C. W.}",

year = "2010",

language = "English",

isbn = "9789623676960",

booktitle = "SCMIS 2010 : Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems : Conference theme, Logistics Systems and Engineering : 6th-8th October 2010, Hong Kong, China",

publisher = "IEEE",

note = "International Conference on Supply Chain Management and Information Systems ‡n (8th : ‡d 2010 : ‡c Hong Kong, China) ; Conference date: 01-01-2010",

}

Tang, CXH & Lau, HCW 2010, A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture. in SCMIS 2010 : Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems : Conference theme, Logistics Systems and Engineering : 6th-8th October 2010, Hong Kong, China. IEEE, International Conference on Supply Chain Management and Information Systems ‡n (8th : ‡d 2010 : ‡c Hong Kong, China), 1/01/10.

A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture. / Tang, Cassandra X. H.; Lau, Henry C. W.
SCMIS 2010 : Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems : Conference theme, Logistics Systems and Engineering : 6th-8th October 2010, Hong Kong, China. IEEE, 2010.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture

AU - Tang, Cassandra X. H.

AU - Lau, Henry C. W.

PY - 2010

Y1 - 2010

N2 - This paper is aimed to develop a fuzzy-guided GA decision model to improve efficiency in a multi-customer warehouse by taking into consideration the performance metrics and various driving factors of the processes embedded. The proposed hybrid framework targets at providing decision makers with the ability to formulate nearly optimal sets of knowledge-based fuzzy rules to identify possible solutions for fully utilising the warehouse capacity.

AB - This paper is aimed to develop a fuzzy-guided GA decision model to improve efficiency in a multi-customer warehouse by taking into consideration the performance metrics and various driving factors of the processes embedded. The proposed hybrid framework targets at providing decision makers with the ability to formulate nearly optimal sets of knowledge-based fuzzy rules to identify possible solutions for fully utilising the warehouse capacity.

KW - genetic algorithms

KW - warehouses

KW - supply chain management

KW - fuzzy logic

UR - http://handle.uws.edu.au:8081/1959.7/514293

M3 - Conference Paper

SN - 9789623676960

BT - SCMIS 2010 : Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems : Conference theme, Logistics Systems and Engineering : 6th-8th October 2010, Hong Kong, China

PB - IEEE

T2 - International Conference on Supply Chain Management and Information Systems ‡n (8th : ‡d 2010 : ‡c Hong Kong, China)

Y2 - 1 January 2010

ER -

A decision model to enhance warehouse efficiencies based on a performance-evaluated architecture

Abstract

Conference

Keywords

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