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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

Fingerprint Dive into the research topics where Sheik Meeran is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Tabu search Engineering & Materials Science
Neural networks Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Machining Engineering & Materials Science
Job Shop Scheduling Mathematics
Sales Engineering & Materials Science
Decomposition Engineering & Materials Science
Feature Recognition Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1993 2017

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

New product forecasting
New products
Diffusion model
Delphi method
8 Citations (Scopus)
96 Downloads (Pure)

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

Tabu search
Genetic algorithms
Job shop scheduling
61 Citations (Scopus)
55 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

Tabu search
Industrial management
Management science
Industrial engineering