Md Mamunur Rashid
Assistant Professor
Department of Industrial and Production Engineering
Faculty of Textile Management and Business Studies
92 Shaheed Tajuddin Ahmed Avenue Tejgaon Industrial Area, Dhaka - 1208, Bangladesh
Biography
Md Mamunur Rashid is working as Assistant Professor, Bangladesh University of Textiles since 2015. His area of expertise on the courses – Engineering Materials, Manufacturing Process, Engineering Drawing and Graphics, Operations Management, Supply Chain Management.
He has professional experiences in both Textile and Garments units to apply Industrial Engineering tools and techniques. He looked after overall operations of printing unit in DBL Group. He developed an efficient MIS system which can provide production and quality up to date data analysis of every hour. He was acting as Lean Technologist - responsible to implement Lean Technology in the sister concerns of the Group.
He has consulting experience to design details of two screen printing factories. He has experience in designing improved process for operations which can lead a decrease in operational cycle time. He also did a Layout planning for material movements in various paths in the production floor.
He attended International Conferences in Dhaka and also in Indonesia - 4th International Conference on Industrial Engineering and Operation Management (IEOM - 2014).
His interests in project works encouraged him to participate in National Level Quality Control Circle Projects (18th & 19th NAQC) and named Extra-Ordinary performer group in the convention.
He is a Lifetime member of Bangladesh Society for Total Quality Management (BSTQM) and actively participates with the society activities to promote quality in all aspects of our lives in Bangladesh.
Education
Conference Papers
Researchs
Field of interest:
• Artificial Intelligence
• Demand and Supply Chain Management
• Facility Location and Layout Planning
• Finite Element Modelling
• Multidisciplinary Optimizations for Decision Making
Research articles:
• An Adaptive Neuro-Fuzzy Inference System based Algorithm for Long Term Demand Forecasting of Natural Gas Consumption
• Selecting a Material for an Electroplating Process Using AHP and VIKOR Multi Attribute Decision Making Method
• https://www.mendeley.com/catalogue/43ac0cc0-6741-3e1e-8dd0-afca23ad0046/
• https://www.mendeley.com/catalogue/324f8b96-34ad-3459-91e8-2112f08bcd30/
• http://www.ieomsociety.org/ieom2020/papers/386.pdf
• http://www.ieomsociety.org/ieom2020/papers/387.pdf
• http://www.ieomsociety.org/ieom2020/papers/390.pdf
• http://www.ieomsociety.org/ieom2020/papers/394.pdf
• http://itegam-jetia.org/journal/index.php/jetia/article/view/659
Field of interest:
• Artificial Intelligence
• Demand and Supply Chain Management
• Facility Location and Layout Planning
• Finite Element Modelling
• Multidisciplinary Optimizations for Decision Making
Research articles:
• An Adaptive Neuro-Fuzzy Inference System based Algorithm for Long Term Demand Forecasting of Natural Gas Consumption
• Selecting a Material for an Electroplating Process Using AHP and VIKOR Multi Attribute Decision Making Method
• https://www.mendeley.com/catalogue/43ac0cc0-6741-3e1e-8dd0-afca23ad0046/
• https://www.mendeley.com/catalogue/324f8b96-34ad-3459-91e8-2112f08bcd30/
• http://www.ieomsociety.org/ieom2020/papers/386.pdf
• http://www.ieomsociety.org/ieom2020/papers/387.pdf
• http://www.ieomsociety.org/ieom2020/papers/390.pdf
• http://www.ieomsociety.org/ieom2020/papers/394.pdf
• http://itegam-jetia.org/journal/index.php/jetia/article/view/659