Profile of Dr. Md. Rakibul Hasan
Dr. Md. Rakibul Hasan
Associate Professor
Department of Mathematics (MAT)
Faculty of Science
Hajee Mohammad Danesh Science & Technology University, Dinajpur.
E-mail: rakibrumat@hstu.ac.bd
Mobile: +8801722928035
CAREER OBJECTIVE
- To advance research and innovation in logistics and supply chain management, optimization, and transportation auctions through mathematical modeling. With extensive academic and research experience, I aim to contribute to sustainable and efficient decision-making while mentoring future scholars and professionals in the field.
RESEARCH INTEREST
- My research interest is to work in Logistics and supply chain management. The
main work of my research is the maximization of profit and minimizing the cost of
a business unit. For this work, I generally use the economic order quantity (EOQ)
inventory model as one of the basic models of inventory theory. Recently, I have
developed a Bid Generation Problem (BGP) and a Winner Determination Problem
(WDP) model for an online auction mechanism for transport procurement.
EDUCATION
- PhD, 2024
Hamad Bin Khalifa University, Qatar
- M.Sc. in Applied Mathematics, 2011
University of Rajshahi
- B.Sc.(hons) in Applied Mathematics, 2010
University of Rajshahi
PROFESSIONAL EXPERIENCES
- Associate Professor
Hajee Mohammad Danesh Science and Technology University (HSTU), BangladeshSeptember 01, 2022 to Present
- Assistant Professor
Hajee Mohammad Danesh Science and Technology University (HSTU), BangladeshSeptember 01, 2016 to August 31, 2022
- Lecturer
Hajee Mohammad Danesh Science and Technology University (HSTU), BangladeshSeptember 01, 2014 to August 31, 2016
- Lecturer
Presidency University, Dhaka, BangladeshApril 01, 2014 to August 31, 2014
- Lecturer
Northeast University, Sylhet, BangladeshMarch 01, 2014 to March 31, 2014
PUBLICATIONS
Journal Papers
>https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=VwvKlCAAAAAJ
Awards and SCHOLARSHIPS
- Al-Fikra 2023 – Champion (Senior Track)
Funded by: Qatar University and QDB
- CodeCamp 2022 Champion – Won the competition for AI-driven solutions (Team Name: HBKU AI)
Funded by: Digital Incubation Center(DIC), Doha, Qatar
- RO Plastic Prize 2021 Finalist – Acknowledged for innovative solutions in sustainability (Team Name: Green Team).
Funded by: Rossana Orlandi srl, Italy
- Exceptional Scholarship – Recognized for excellent result in B.Sc. in Applied Mathematics
Funded by: University of Rajshahi, Bangladesh.
- HBKU Ph.D. Scholarship
Funded by: Hamad Bin Khalifa University (HBKU) and Qatar Foundation, Qatar.
- Scholarship awarded for Ph.D. studies at the University of Electronic Science and Technology of China (UESTC).
Funded by: Chinese Government Scholarship (CSC)
PROJECTS
- DEVELOPMENT OF A MODEL FOR INTEGRATED INVENTORY IN SUPPLY CHAIN
Funded by: Institute of Reasearch and Training (IRT) Hajee Mohammad Danesh Science and Technology University Di
Position: Principal Investigator (PI)
Description: External factors such as improper handling, extreme weather, and insect attacks affect product quality. It is most evident in fruit products that have a high deterioration rate. Moreover, decaying fruits will increase the deteriorating of other good ones. This study aims to derive the optimal pricing and replenishment decisions for agricultural products considering the effect of external factors that induce deterioration. This work investigates ways to reduce the product deterioration rate by separating the near defective items from the other good products and accelerating the quick sales of the near defective items at a discounted price. The objective is to maximize the total profit by optimizing the selling price and the replenishment cycles. Two scenarios are investigated. In the first scenario, the retailer offers a selling price discount for near defective products to stimulate customer demand. In the second scenario, the retailer does not offer such discounts. An algorithm to solve the model is derived. Further, numerical examples are developed to compare the total profit for the two scenarios. Theoretical derivations and graphical results show the concavity of the profit function. Finally, the sensitivity analysis shows that the total profit of the discount model is higher. This study contributes to a new pricing and inventory decision model. The research provides insights to retailers on making optimal pricing and replenishment decisions for noninstantaneous deterioration items, as well as reducing the external factors that influence higher deterioration rate through separating good products from the near defective ones which are sold at a discount in order to induce sales. Keywords: inventory model; agricultural products; defective items; price discount; noninstantaneous deterioration; price-sensitive demand
SOCIAL NETWORK
- Google Scholar Profile
URL: https://scholar.google.com/citations?user=VwvKlCAAAAAJ&hl=en
- ResearchGate Profile
URL: https://www.researchgate.net/profile/Md-Hasan-356?ev=hdr_xprf