19932017

Research output per year

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Research Output

2017

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 13 p.

Research output: Contribution to journalArticle

Open Access
File
8 Citations (Scopus)
168 Downloads (Pure)
2016
Open Access
File
1 Citation (Scopus)
165 Downloads (Pure)
2014

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

File
9 Citations (Scopus)
122 Downloads (Pure)

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

Goodwin, P., Meeran, S. & Dyussekeneva, K., 1 Oct 2014, In : International Journal of Forecasting. 30, 4, p. 1082–1097 16 p.

Research output: Contribution to journalArticle

Open Access
File
15 Citations (Scopus)
262 Downloads (Pure)
2013

Sales forecasting using combination of diffusion model and forecast market: An adaption of prediction/preference markets

Meeran, S., Dyussekeneva, K. & Goodwin, P., 2013, Proceedings of 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013. IFAC, p. 87-92 6 p. (Manufacturing Modelling, Management, and Control; vol. 7, no. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

The use of analogies in forecasting the annual sales of new electronics products

Goodwin, P., Dyussekeneva, K. & Meeran, S., Oct 2013, In : IMA Journal of Management Mathematics. 24, 4, p. 407-422 16 p.

Research output: Contribution to journalArticle

Open Access
File
16 Citations (Scopus)
288 Downloads (Pure)
2012

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

File
67 Citations (Scopus)
125 Downloads (Pure)

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

2011

A framework for providing lifelong finance to the owners of affordable dwellings in the Kingdom of Saudi Arabia

Sidawi, B. & Meeran, S., Apr 2011, In : Cities. 28, 2, p. 138-146 9 p.

Research output: Contribution to journalArticle

9 Citations (Scopus)

Student performance–university preference model: a framework for helping students choose the right A‐level subjects

Wilkins, S. & Meeran, S., 2011, In : Educational Studies. 37, 5, p. 541-555 15 p.

Research output: Contribution to journalArticle

File
4 Citations (Scopus)
97 Downloads (Pure)
2009

Predicting the seam strength of notched webbings for parachute assemblies using the Taguchi's design of experiment and artificial neural networks

Onal, L., Zeydan, M., Korkmaz, M. & Meeran, S., Mar 2009, In : Textile Research Journal. 79, 5, p. 468-478 11 p.

Research output: Contribution to journalArticle

16 Citations (Scopus)
2006
2 Citations (Scopus)
2003
15 Citations (Scopus)
2002

A multi-level hybrid framework applied to the general flow-shop scheduling problem

Jain, A. S. & Meeran, S., 2002, In : Computers and Operations Research. 29, 13, p. 1873-1901 29 p.

Research output: Contribution to journalArticle

22 Citations (Scopus)

Recognition of simple and complex interacting non-orthogonal features

Meeran, S. & Zulkifli, A. H., Nov 2002, In : Pattern Recognition. 35, 11, p. 2341-2353 13 p.

Research output: Contribution to journalArticle

12 Citations (Scopus)
2000

An active tool-tracking system for increased productivity

Tap, M., Hewit, J. R. & Meeran, S., 14 Nov 2000, In : International Journal of Production Research. 38, 16, p. 3889-3898 10 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)

New and 'stronger' job-shop neighbourhoods: a focus on the method of Nowicki and Smutnicki (1996)

Jain, A. S., Rangaswamy, B. & Meeran, S., 1 Sep 2000, In : Journal of Heuristics. 6, 4, p. 457-480 24 p.

Research output: Contribution to journalArticle

43 Citations (Scopus)
1999

Decomposition of interacting features using a Kohonen self-organizing feature map neural network

Zulkifli, A. H. & Meeran, S., 1 Feb 1999, In : Engineering Applications of Artificial Intelligence. 12, 1, p. 59-78 20 p.

Research output: Contribution to journalArticle

16 Citations (Scopus)

Deterministic job-shop scheduling: Past, present and future

Jain, A. S. & Meeran, S., 1 Mar 1999, In : European Journal of Operational Research. 113, 2, p. 390-434 45 p.

Research output: Contribution to journalArticle

547 Citations (Scopus)
25 Citations (Scopus)

Generic approach to recognizing isolated, nested and interacting features from 2D drawings

Meeran, S. & Taib, J. M., 1 Dec 1999, In : CAD Computer Aided Design. 31, 14, p. 891-910 20 p.

Research output: Contribution to journalArticle

29 Citations (Scopus)
1998

Job-shop scheduling using neural networks

Jain, A. S. & Meeran, S., 1 Jan 1998, In : International Journal of Production Research. 36, 5, p. 1249-1272 24 p.

Research output: Contribution to journalArticle

66 Citations (Scopus)
1997

Optimum path planning using convex hull and local search heuristic algorithms

Meeran, S. & Shafie, A., 1 Dec 1997, In : Mechatronics. 7, 8, p. 737-756 20 p.

Research output: Contribution to journalArticle

12 Citations (Scopus)
1996
16 Citations (Scopus)
1993

Automated feature recognition from 2D drawings

Meeran, S. & Pratt, M. J., 1 Jan 1993, In : Computer-Aided Design. 25, 1, p. 7-17 11 p.

Research output: Contribution to journalArticle

The use of PROLOG in the automatic recognition of manufacturing features from 2-D drawings

Meeran, S., Pratt, M. J. & Kay, J. M., 1 Oct 1993, In : Engineering Applications of Artificial Intelligence. 6, 5, p. 409-423 15 p.

Research output: Contribution to journalArticle