Sheik Meeran

Dr. Sheik Meeran is a Senior Lecturer (Associate Professor) at the University of Bath, specializing in Management Information, Decisions & Operations within the Department of Management Information, Decisions & Operations. He holds a PhD from Cranfield University (1991). His research focuses on applying heuristic tools like Genetic Algorithms, Neural Networks, and Tabu Search to solve manufacturing and management challenges. Notable projects include feature recognition for CAD/CAM integration, job shop scheduling optimization, and applying Cellular Manufacturing Techniques to supermarket layouts. Collaborations with 'Crisps' explore Evidence-Based Purchasing strategies and healthcare innovation. His work contributes to UN Sustainable Development Goals in education and sustainable systems.

Education:

• Doctor of Philosophy, Cranfield University (1 Jan 1991)

Research Interests:

• Heuristic optimization techniques for manufacturing systems
• Neural networks for feature recognition
• Hybrid metaheuristics in job shop scheduling
• Healthcare logistics and supermarket layout optimization

Recent Research Trends: His publications emphasize forecasting methodologies (e.g., new product sales forecasting), open innovation strategies, and organizational learning. Key areas include optimizing production schedules using genetic algorithms and tabu search frameworks, and analyzing cross-cultural biases in judgmental forecasts.

Awards: No specific scientific awards mentioned in the provided text.

Advising & Grants: Supervised 1 doctoral student (name unspecified). Collaborations include interdisciplinary projects with 'Crisps' focusing on healthcare innovation and supply chain strategies.

Labs/Teams: Active member of the Centre for Healthcare Innovation and Improvement, contributing to evidence-based purchasing frameworks and cellular manufacturing applications in retail environments.