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Personal profile

Research interests

My research focus is in applying intelligent /heuristic tools such as Genetic Algorithm, Neural Network and Tabu Search in solving manufacturing/management problems. Successfully used Neural Networks in manufacturing feature recognition which is an essential block in CADCAM integration. Applied a hybrid framework of Genetic Algorithm and Tabu Search to tackle the hard combinatorial problem of Job shop scheduling. Currently exploring the possibilities (in collaboration with colleagues from ‘Crisps’) of using Cellular Manufacturing Techniques (Group Technology Principles) in the layout organization of Supermarkets. Another major project being proposed along with colleagues in ‘Crisps’ is on Evidence Based Purchasing.

Education/Academic qualification

Doctor of Philosophy, Cranfield University

Award Date: 1 Jan 1991

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Research Output

New Product Forecasting: Judgmental, Statistical and Combination methods

Dyussekeneva, K. & Meeran, S., Sep 2012, Saarbrucken, Germany: Lambert Academic Publishing (LAP). 160 p.

Research output: Book/ReportBook

  • Evaluation of a hybrid genetic tabu search framework on job shop scheduling benchmark problems

    Meeran, S. & Morshed, M. S., 2014, In : International Journal of Production Research. 52, 9, p. 5780-2798

    Research output: Contribution to journalArticle

  • 9 Citations (Scopus)
    112 Downloads (Pure)

    A hybrid genetic tabu search algorithm for solving job shop scheduling problems: a case study

    Meeran, S. & Morshed, M. S., 1 Aug 2012, In : Journal of Intelligent Manufacturing. 23, 4, p. 1063-1078 16 p.

    Research output: Contribution to journalArticle

  • 64 Citations (Scopus)
    69 Downloads (Pure)