http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/181 Wed, 22 Apr 2026 10:38:52 GMT 2026-04-22T10:38:52Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1023 A COMPARATIVE ANALYSIS OF AHP, ISM AND MICMAC METHODS IN FINDING THE MOST SIGNIFICANT BARRIERS OF PHARMACEUTICAL SUPPLY CHAIN MANAGEMENT IN BANGLADESH Mimi, Afsana Akter; Faiza, Fahmida A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. This network includes different activities, people, entities, information and resources. Among all the supply chains, pharmaceutical supply chain is one of the most complex supply chains, which is focused in this research. This analysis indicates the problems or barriers which mostly affects achieving the goal in pharmaceutical supply chain in a developing country like Bangladesh. The pharmaceutical industry is a growing sector in Bangladesh as the country produce medicine for local markets as well as for the international markets. So, for a better performance the barriers in this sector needs to be identified, and as well as their impact should also be measured. The company‟s most priority should be delivering of medicines as a strategic product. Pharmaceutical companies are the most important player of the drug supply chain, which is a subject to many risks. These risks or barriers interrupt the quality and quantity of supply of medicines and their delivery at the correct manner. All these problems in this Pharmaceutical Supply Chain (PSC) system of Bangladesh need a proper analysis and identification of the most significant barrier. Considering these facts of PSC in Bangladesh we approached a few local and multinational companies in Bangladesh and conducted the expert opinion for identifying the main barrier. Firstly, the analysis was done on the basis of existed literature review. For the proper identification and analysis we chose some methodologies and conducted results of finding the major barrier from each which is the main objective of this analysis. The identification of barriers is desired to enhance the performance of the industry. This study identifies 26 barriers under 5 major criteria of Bangladesh pharmaceutical supply chain through existed literature review as well as from the expert opinion in the practical field. The methodologies applied for the identification here are- AHP, ISM and MICMAC method. The results conducted from the literature review and industrial survey indicates that shipping problem in Chittagong port and lack of government support in this case have the most significant impact on the whole process in the context of Bangladesh pharmaceutical supply chain. A COMPARATIVE ANALYSIS OF AHP, ISM AND MICMAC METHODS IN FINDING THE MOST SIGNIFICANT BARRIERS OF PHARMACEUTICAL SUPPLY CHAIN MANAGEMENT IN BANGLADESH Sun, 01 Dec 2019 00:00:00 GMT http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1023 2019-12-01T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1022 A Crowdsourced Approach for Supply Chain Network Optimization Using Hub and Spoke Model Sarwar, Md. Azim; Humayra, Israt; Sadman, Navid Anas This study aims to identify and analyze an optimized & efficient supply chain network solved with hub and spoke model using a crowdsourced approach. The main focus of the resulting supply chain is to minimize the total transportation cost and analyze how crowdsourcing affects the whole chain. Hub and spoke distribution paradigm are a form of transport topology optimization in which traffic planners organize routes as a series of "spokes" that connect outlying points to a central "hub". The supply chain network includes a number of manufacturers, suppliers, distributer locations and demand points which need to be located not just randomly but as a result of careful calculation to minimize the overall cost and increase the supply chain surplus. The hub and spoke model is an excellent approach to make the whole system more robust and agile by receiving products from many different origins, consolidating the products, and sending them directly to destinations. Crowdsourcing is the process of obtaining ideas, services or information by soliciting feedback from a large group of people. Here in this report, the effects of crowdsourcing on the supply chain is emphasized by using a linear programming model in MATLAB. The result is evaluated and analyzed for further improvement and practical use. A Crowdsourced Approach for Supply Chain Network Optimization Using Hub and Spoke Model Sun, 01 Dec 2019 00:00:00 GMT http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1022 2019-12-01T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1021 A Molecular Dynamics Study of Mechanical Properties of PLA-CNT Nanocomposite Rahman, Md. Sohanoor; Parvez, Mohammad Rokibul Hasan; Jitu, Md. Mahedi Khan This thesis contains a non-destructive process of determining structural and mechanical properties of a promising composite material named PLA-CNT. Polylactic Acid (PLA) is widely used in 3D printing (additive manufacturing) technology and biomedical industry. In order to perform molecular dynamics simulation PLA is modeled and packed in Materials Studio software package and validated in terms of Young’s modulus against mechanical testing value found in published literature of Kamthai and Magaraphan (2016). This PLA model is incorporated with CNT reinforcement and undergone molecular dynamics simulation of uniaxial tensile deformation through LAMMPS software package. Simulation resulted in significant improvement of mechanical properties such as Young’s modulus, tensile strength in PLA-CNT composite over PLA. Thus, enhanced mechanical property of raw material will result in similar enhancement in printed model. A Molecular Dynamics Study of Mechanical Properties of PLA-CNT Nanocomposite Sun, 01 Dec 2019 00:00:00 GMT http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1021 2019-12-01T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1020 A Parametric Optimization of Selective Laser Sintering Process to Increase Process Efficiency Karim, Mehrab; Hassan, Jakir; Ahmed, Kazi Arman Selective laser sintering (SLS) is a powder-based layer-additive manufacturing process generally meant for rapid prototyping and rapid tooling. Laser beams either in continuous or pulse mode are used as a heat source for scanning and joining powders in predetermined sizes and shapes of layers. The geometry of the scanned layers corresponds to the various cross sections of the computer-aided design (CAD) models or stereo lithography (STL) files of the object. Selective laser sintering has been used to make models for design testing, patterns for investment casting, and small lots of functional parts. But with SLS, it is sometimes difficult to achieve the best quality in appearance with the best mechanical properties and it is time consuming and inefficient too. So, it is important to obtain a better understanding of the relationship between powder properties, fabrication parameters in the SLS process, and the parts produced using this process. So, this thesis aims to find the optimum quality and better efficiency by setting these parameters differently according to powder properties and requirements of application. It is therefore required to optimize the relationship between the fabrication parameters and powder properties. This thesis aims to relate fabrication parameters with powder properties and they are: laser power ratio, layer thickness, grain size etc. In this thesis, optimization tool has been used to obtain suitable fabrication parameters to satisfy the demands of specific applications. Finally, the research direction is therefore a means of balancing in-process parameters with post-process parameters in order to meet the requirements for good overall quality components and better efficiency with minimum time and effort. A Parametric Optimization of Selective Laser Sintering Process to Increase Process Efficiency Sun, 01 Dec 2019 00:00:00 GMT http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/1020 2019-12-01T00:00:00Z