Soft computing based procurement planning of time-variable demand in manufacturing systems

Kai Leung Yung, Wai Hung Ip, Ding Wei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


Procurement planning with discrete time varying demand is an important problem in Enterprise Resource Planning (ERP). It can be described using the non-analytic mathematical programming model proposed in this paper. To solve the model we propose to use a fuzzy decision embedded genetic algorithm. The algorithm adopts an order strategy selection to simplify the original real optimization problem into binary ones. Then, a fuzzy decision quantification method is used to quantify experience from planning experts. Thus, decision rules can easily be embedded in the computation of genetic operations. This approach is applied to purchase planning problem in a practical machine tool works, where satisfactory results have been achieved.
Original languageEnglish
Pages (from-to)80-87
Number of pages8
JournalInternational Journal of Automation and Computing
Issue number1
Publication statusPublished - 1 Jan 2007


  • Enterprise Resource Planning (ERP)
  • Fuzzy decision
  • Genetic algorith
  • Inventory control
  • Purchase planning
  • Soft computing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Applied Mathematics
  • Modelling and Simulation


Dive into the research topics of 'Soft computing based procurement planning of time-variable demand in manufacturing systems'. Together they form a unique fingerprint.

Cite this