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			Joint Inventory Planning and Bundle Pricing with Considering Customer Behavior
, M.Sc. Thesis Sharif University of Technology ; Shavandi, Hassan (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				In this study, we consider a newsvendor problem. The newsvendor in addition to determine order quantities must also determine the selling price of each product. The demand of each product is of a stochastic nature and depends on the selling price. It is assumed that products are cross-elastic. We also assume that retailers want to apply mixed bundling strategy. It means that in addition to selling products separately, they sell them as bundles. Two types of two-steps algorithms (p-constant, q-constant) were proposed. First we applied these algorithms for newsvendor problem with 2 single products and 1 bundle. After demonstrating its efficiency, algorithms were developed for solving problems... 
				
					Design and Implementation of a Planning-specific Sat Solver
, M.Sc. Thesis Sharif University of Technology ; Ghassem-Sani, Gholamreza (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				Automated planning is a branch of Artificial intelligence aimed at obtaining plans (i.e. sequences of actions) for solving complex problems or for governing the behavior of intelligent agents. Reduction of planning problems to satisfiability problems is one of the most successful approaches to automated planning. In this method first the planning problem with a preset length is coded to a satisfiability problem. Then, a general SAT solver is used for solving the obtained SAT formula. To find the plan with optimum length, plans with increasing coding lengths are evaluated by a SAT solver in a sequential manner. Since much of descriptive information of planning problems is lost in converting... 
				
					Analysis of Entropy as Numerical Error Indicator in Reservoir Simulation
, M.Sc. Thesis Sharif University of Technology ; Ghotbi, Cyrus (Supervisor) ; Razvan, Mohammad Reza (Co-Advisor)
							Abstract
				
					
		
		
		
		
		
		
										
				Reservoir simulation models are profound tools in reservoir management. Number of grid blocks in a simulation model is much less than the number of grid blocks in geological model, therefore geological model must become upscaled in order to construct simulation model with convenient dimensions. This causes loosing of some details and introduces errors due to discretization and homogenization. One method of construction of an efficient computational grid is use of adaptive mesh refinement (AMR) methods. These methods refine computational grid in regions needing further resolution. An error indicator is used for determining regions candidate for refinement or coarsening. In present study... 
				
					Experimental Study of Biocompatibility and Proliferation of Stem Cells on the Scaffold with Natural Structure
, M.Sc. Thesis Sharif University of Technology ; Vosoughi, Manouchehr (Supervisor) ; Alemzadeh, Iran (Supervisor) ; Haghighipour, Nooshin (Supervisor)
							Abstract
				
					
		
		
		
		
		
		
										
				The heart diseases and in particular coronary artery disease have been vastly increased in recent years. Bypass operation is the major recognized way of this disease treatment however, one third of patients don’t have the suitable autologous vein for this operation. It should be noted that for this operation a suitable conduit with diameter as narrow as possible is needed. On the other hand, usage of synthetic polymers won’t be suitable for this operation due to the coagulation forming. The only way to overcome this problem is the use of tissue engineering with the aid of scaffold and autologous cells with the natural tissue function, which reconstructed the desire tissue causing no... 
				
					