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 Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2002 2017

1 Citations

When do changes in consumer preferences make forecasts from choice-based conjoint models unreliable?

Meeran, S., Jahanbin, S., Goodwin, P. & Quariguasi Frota Neto, J. 16 Apr 2017 In : European Journal of Operational Research. 258, 2, p. 512-524

Research output: Contribution to journalArticle

Open Access
Life cycle
Open Access
Product development
Consumer choice

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
Genetic algorithm
9 Citations

The challenges of pre-launch forecasting of adoption time series for new durable products

Goodwin, P., Meeran, S. & Dyussekeneva, K. Oct 2014 In : International Journal of Forecasting. 30, 4, p. 1082–1097 16 p.

Research output: Contribution to journalArticle

Open Access
Research agenda
Diffusion process