Evolution strategy based decision-making model for order allocation in production planning

Z. X. Guo, Wai Keung Wong, S. Y.S. Leung, Min Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper addresses a multi-objective order allocation problem in the production planning stage of labor-intensive industry. An evolution strategy-based decision-making model is developed to provide timely and effective solutions for this problem by integrating radio frequency identification technology. In this model a novel (μ/ρ + λ) -evolution strategy process is integrated with effective non-dominated sorting and pruning techniques to generate pruned Pareto optimal solutions for real-world production planning practice. Experiments based on industrial data were conducted to evaluate the effectiveness of the proposed model. Experimental results show that the proposed model can effectively solve the investigated problem by providing order allocation solutions superior to industrial solutions.
Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
Pages229-234
Number of pages6
DOIs
Publication statusPublished - 9 Dec 2011
Event2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011 - Qingdao, China
Duration: 17 Sep 201119 Sep 2011

Conference

Conference2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
CountryChina
CityQingdao
Period17/09/1119/09/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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