This research study will improve supply chain efficiency in the pharmaceutical industry of Bangladesh by developing a systematic and efficient Supply Chain Management (SCM) model. The analysis is an evaluation of the supply chain system of a national pharmaceutical firm to find out those shortcomings that prevent efficient performance, such as high cost of transportation, poor communication of information, and slowness of the product to the market. A combination of the Various-criteria Decision-Making (MCDM) techniques of the Analytic Hierarchy Process (AHP) and the Fuzzy Technique of Order Preference to Similarity Ideal Solution (Fuzzy-TOPSIS) was used to get the 10 vital causes found by the cause-and-effect method of the experts. The survey resulted in those having the greatest effect on efficient performance, including high cost of transportation and poor data communication, which are vital variables of efficient performance and responsiveness, also to the supply chain. Following these results, a new development of the To-Be model is proposed, having several regional warehouses, improvement of depot networks, cross-docking stations, and utilization of reverse logistics. This improved version gives promise of better than the existing sufficient supply chains, with shorter lead times, lower production discrepancies, and lower costs of maintenance, and denotes better supply chain flexibility, greater access to customers, and product availability in the supply chain system. The research gives a feasible modus operandi for the amelioration of the pharmaceutical supply chains in Bangladesh from a centralized, inflexible system to a responsive, rather decentralized system in this case. It contributes to the background of the difficult decision-support systems in a developing country case, and how the AHP-TOPSIS mix may help SCM restructuring based on data in a developing market.