Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29214
Title: A cloud-based intelligent decision-making system for order tracking and allocation in apparel manufacturing
Authors: Guo, ZX
Wong, WK 
Guo, C
Keywords: Cloud computing
Intelligent optimisation
Order allocation
Order tracking
Issue Date: 2014
Publisher: Taylor & Francis
Source: International journal of production research, 2014, v. 52, no. 4, p. 1100-1115 How to cite?
Journal: International journal of production research 
Abstract: This paper addressed the order tracking and allocation problem in an apparel manufacturing environment with multiple plants. A cloud-based intelligent decision-making system was developed to tackle this problem, which combined radio frequency identification and cloud computing technologies to capture real-time production records and make remote production order tracking, and employed computational intelligence techniques to generate effective order allocation solutions to appropriate plants. To evaluate the effectiveness of the proposed system, the system was implemented in an apparel manufacturing company with multiple plants, which reported distinct reductions in production costs and increases in production efficiency. This paper also investigated learning phenomenon in production and its effects on production efficiency and decision-making performance.
URI: http://hdl.handle.net/10397/29214
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207543.2013.838650
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