Sheik Meeran

ORCID: 0000-0002-8524-1924
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About
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Research Areas
  • Scheduling and Optimization Algorithms
  • Manufacturing Process and Optimization
  • Forecasting Techniques and Applications
  • Innovation Diffusion and Forecasting
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Industrial Vision Systems and Defect Detection
  • Digital Image Processing Techniques
  • Optimization and Search Problems
  • Metaheuristic Optimization Algorithms Research
  • Advanced Numerical Analysis Techniques
  • Energy Load and Power Forecasting
  • Knowledge Management and Sharing
  • 3D Surveying and Cultural Heritage
  • Advanced Control Systems Optimization
  • Intellectual Capital and Performance Analysis
  • Advanced Measurement and Metrology Techniques
  • Financial Risk and Volatility Modeling
  • Robot Manipulation and Learning
  • Consumer Market Behavior and Pricing
  • Complex Systems and Decision Making
  • Advanced Statistical Process Monitoring
  • School Choice and Performance
  • Adaptive Control of Nonlinear Systems
  • Elevator Systems and Control

University of Bath
2009-2023

Saveetha University
2012

University of Birmingham
2002-2003

University of Dundee
1993-2000

Cranfield University
1993

10.1016/s0377-2217(98)00113-1 article EN European Journal of Operational Research 1999-03-01

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We provide an overview wide range theoretical, state-of-the-art models, methods, principles,...

10.1016/j.ijforecast.2021.11.001 article EN cc-by International Journal of Forecasting 2022-01-20

This paper examines the role of HR practices in shaping inbound open innovation outcomes through lens competency, motivation and opportunity (CMO) model. The investigates aforementioned associations by considering intervening roles organizational learning culture knowledge sharing. data were collected from managers working different sectors United Kingdom. findings reveal positive linkages between types studied establish mediating mechanisms study contributes to current body developing...

10.1111/radm.12566 article EN R and D Management 2022-11-29

Complete enumeration of all sequences to establish global optimality is not feasible as the search space; for a general job-shop scheduling problem,PiG has an upper bound (n!)m. Since early fifties great deal research attention been focused on solving PiG , resulting in wide variety approaches such branch and bound, simulated annealing, tabu search, etc. However, limited success achieved by these methods due shear intractability this generic problem. Recently, much effort concentrated using...

10.1080/002075498193309 article EN International Journal of Production Research 1998-05-01

10.1016/0010-4485(93)90061-r article EN Computer-Aided Design 1993-01-01

Purpose This study aims to explore how the three types of human resource (HR) practices, encapsulated in ability, motivation and opportunity (AMO) model, foster a learning organizational culture (LOC). In doing so, authors evaluate centrality knowledge sharing (KS) mediating this relationship. Design/methodology/approach A quantitative survey is undertaken collect data from managers working organizations operating UK. The use several statistical techniques assess psychometric properties...

10.1108/jkm-01-2023-0032 article EN Journal of Knowledge Management 2023-08-09

10.1023/a:1009617209268 article EN Journal of Heuristics 2000-01-01

Mathematical models are often used to describe the sales and adoption patterns of products in years following their launch one most popular these is Bass model. However, using this model forecast time series for new problematical because there no historic data with which estimate model's parameters. One possible solution fit analogous that have been launched an earlier period assume parameter values identified analogy applicable product. In paper, we investigate effectiveness approach by...

10.1093/imaman/dpr025 article EN IMA Journal of Management Mathematics 2012-01-02

Webbings are used in parachute assemblies as reinforcing units for the strength they provide. The of these seams is an important characteristic which has a substantial influence on mechanical property assemblies. It well established that factors such fabric width, folding length joint, seam design and type will all have impact strength. In this work, effect was studied using both Taguchi's experiment (TDOE) artificial neural network (ANN). TDOE, two levels were chosen mentioned above. An L8...

10.1177/0040517508099921 article EN Textile Research Journal 2009-02-27

Many varied techniques have long been suggested for the recognition of features from solid modellers, and systems which incorporated these achieved a moderate success. However problem wide variety features, e.g. interacting non-interacting primitive, circular slanting that any real life component may have, requires complex are inflexible hence limited in their use. Here, we present simple flexible system defined as patterns edges vertices to deal with all above types features. The starts by...

10.1080/002075499190428 article EN International Journal of Production Research 1999-09-01

Many two-dimensional (2D) feature recognition systems have recently been developed to salvage the massive store of engineering knowledge in 2D form and bring benefit computer-aided design (CAD)-computer-aided manufacturing (CAM) integration CAD users. However, significant amount effort spent developing these has little use related field 'Automated Visual Inspection' (AVI). This is because there are some differences formats input AVI with respect hidden information. paper presents a method...

10.1080/00207540210148871 article EN International Journal of Production Research 2003-01-01

It has been well established that to find an optimal or near-optimal solution job shop scheduling problems (JSSPs), which are NP-hard, one needs harness different features of many techniques, such as genetic algorithms (GAs) and tabu search (TS). In this paper, we report usage a framework exploits the diversified global intensified local capabilities GA TS, respectively. The system takes its input directly from process information in contrast having problem-specific format, making it...

10.1080/00207543.2014.911417 article EN International Journal of Production Research 2014-04-22

10.1016/s0952-1976(98)00050-5 article EN Engineering Applications of Artificial Intelligence 1999-02-01
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