A cloud-based intelligent decision-making system for order tracking and allocation in apparel manufacturing

Z. X. Guo, Wai Keung Wong, Chunxiang Guo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1100-1115
Number of pages16
JournalInternational Journal of Production Research
Issue number4
Publication statusPublished - 16 Feb 2014


  • cloud computing
  • intelligent optimisation
  • order allocation
  • order tracking

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research
  • Strategy and Management

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