Journal of the Operational Research Society

, Volume 58, Issue 1, pp 10–28

AI and OR in management of operations: history and trends

Review Paper

DOI: 10.1057/palgrave.jors.2602132

Cite this article as:
Kobbacy, K., Vadera, S. & Rasmy, M. J Oper Res Soc (2007) 58: 10. doi:10.1057/palgrave.jors.2602132


The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested.


operations managementartificial intelligenceoperational research

Copyright information

© Palgrave Macmillan Ltd 2007

Authors and Affiliations

  1. 1.University of SalfordSalfordUK
  2. 2.Cairo UniversityGizaEgypt