Transportation problem is one of the important areas in operation research, which is widely used to make a decision in engineering, business, management and many other fields. In the field of operation research, Network Analysis plays an important role to optimization. In this thesis “A study of Transportation Problem (TP) & Network Analysis with TORA applications”, we consider the transportation problem which is a linear programming problem having particular significance in optimization theory. We study some new initial and optimal solution method with some established methods and we comparing the solution. We also study some network problem to optimize the result. Finally software TORA has been used to show the variations in the methods of solving Transportation Problem (TP) & Network Problem. By using TORA, the solution can be found in short time.
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I was born in Feni District of Bangladesh in 1st July 1989.I received my B.Sc.(Honours)in Mathematics from University of Chittagong in 2012 with Distinction, my M.S.(Thesis:Pure Group)Mathematics from University of Chittagong in 2013 with Distinction. It was my supervisor, Professor Dr. Ganesh Chandra Ray, who persuaded me to write a dissertation.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Transportation problem is one of the important areas in operation research, which is widely used to make a decision in engineering, business, management and many other fields. In the field of operation research, Network Analysis plays an important role to optimization. In this thesis 'A study of Transportation Problem (TP) & Network Analysis with TORA applications', we consider the transportation problem which is a linear programming problem having particular significance in optimization theory. We study some new initial and optimal solution method with some established methods and we comparing the solution. We also study some network problem to optimize the result. Finally software TORA has been used to show the variations in the methods of solving Transportation Problem (TP) & Network Problem. By using TORA, the solution can be found in short time. 176 pp. Englisch. Bestandsnummer des Verkäufers 9783659864902
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akter MasudaI was born in Feni District of Bangladesh in 1st July 1989.I received my B.Sc.(Honours)in Mathematics from University of Chittagong in 2012 with Distinction, my M.S.(Thesis:Pure Group)Mathematics from University of Chitta. Bestandsnummer des Verkäufers 159146616
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Transportation problem is one of the important areas in operation research, which is widely used to make a decision in engineering, business, management and many other fields. In the field of operation research, Network Analysis plays an important role to optimization. In this thesis 'A study of Transportation Problem (TP) & Network Analysis with TORA applications', we consider the transportation problem which is a linear programming problem having particular significance in optimization theory. We study some new initial and optimal solution method with some established methods and we comparing the solution. We also study some network problem to optimize the result. Finally software TORA has been used to show the variations in the methods of solving Transportation Problem (TP) & Network Problem. By using TORA, the solution can be found in short time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Bestandsnummer des Verkäufers 9783659864902
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Taschenbuch. Zustand: Neu. A Study of Transportation Problem and Network Analysis with TORA | Masuda Akter (u. a.) | Taschenbuch | 176 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659864902 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103866572
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