Research Output per year
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.
- 3 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/Report › Book
New product forecasting
New products
Costs
Diffusion model
Delphi method
8
Citations
(Scopus)
50
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. 5780-2798Research output: Contribution to journal › Article
File
Tabu search
Genetic algorithms
Job shop scheduling
Benchmark
Evaluation
4
Citations
(Scopus)
Robust testing of the utility-based high-technology product sales forecasting models proposed by Decker and Gnibba-Yukawa
Goodwin, P. & Meeran, S., Dec 2012, In : Journal of Product Innovation Management. 29, S1, p. 211-218 8 p.Research output: Contribution to journal › Article
61
Citations
(Scopus)
13
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 journal › Article
File
Tabu search
Industrial management
Management science
Industrial engineering
Chromosomes
Thesis
The Impact of Consumer and Product Characteristics on Change in Attribute- Weights over Time and its Implications for New Product Sales Forecasting Using Choice-based Conjoint Analysis
Author: Jahanbin, S., 7 Oct 2015Supervisor: Meeran, S. (Supervisor) & Goodwin, P. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File