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Transportation Method of Linear programming
Simplex Method Linear Programming Formulation of Linear Programming-Maximization Case
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Definition: The Transportation Method of linear programming is applied to the
problems related to the study of the efficient transportation routes i.e. how efficiently
the product from different sources of production is transported to the different destinations, such as the total transportation cost is minimum.
Marketing Environment 7 C’s of Communication
Assumptions of Linear
Methods of Demand Forecasting
Least Cost Method
Span of Management
Modified Distribution Method
Carrot and Stick Approach of Motivation
New Business Terms
Linear Homogeneous Production Function North-West Corner Rule Duality in Linear Programming Group Decision Making
Here origin means the place where the product is originated or manufactured for the
ultimate sales while the places where the product is required to be sold is called
destination. For solving the transportation problem, the following steps are to be systematically followed:
Standard Costing Process Costing
1. Obtaining the initial feasible solution, which means identifying the solution that satisfies the requirements of demand and supply. There are several methods through which the initial feasible solution can be obtained; these are:
Least Cost Method
Bill of Exchange Golden Rules of Accounting
Vogel’s Approximation Method
Marketing Mix Note: It is to be ensured that the number of cells occupied should be equal to m+n-1, where “m” is the number of rows while “n” is the number of columns.
2. Testing the optimality of the initial feasible solution. Once the feasible solution is
obtained, the next step is to check whether it is optimum or not. There are two
methods used for testing the optimality:
Modified Distribution Method (MODI)
3. The final step is to revise the solution until the optimum solution is obtained.
The two most common objectives of transportation problem could be: i) maximize the profit of transporting “n” units of product to the destination “y”, ii) Minimize the cost of shipping “n” units of product to the destination “y”.
Transportation problem linear programming mathematical representation of transportation problem general mathematical model assumptions. . Linear programming notes viii the transportation problem. 1 introduction several examples during the quarter cam
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The assignment problem is a special type of transportation problem, where the objective is to minimize the cost or time of completing a number of jobs by a number of persons. In other words, when the problem involves the allocation of n different fac
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in earlier aggregative studies of the Nigerian inland transport network and ports. III. THE MODEL. The optimisation model used in this study is linear programming. Before proceed- ing to its formal development we discuss some simplifying assumptions.
minimum point by a convergent stepwise procedure, comparisons of the values of nearby points is all that is possible and attention focuses on relative minimum points. Global conditions and global solutions can, as a rule, only be found if the problem
to accompany. Introduction to Mathematical Programming: Operations Research, Volume 1. 4th edition, by Wayne L. Winston and Munirpallam Venkataramanan. Presentation: H. Sarper. 2. Copyright (c) 2003 Brooks/Cole, a division of Thomson Learning, Inc. 3
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Albert Einstein was to have said that things should be made as simple as possible, but not simpler. When it comes to sensitivity analysis in operations research, the plot does thicken. In this paper we attempt to step in the direction of making what
OPERATIONS RESEARCH: 343. 1. LINEAR PROGRAMMING. 2. INTEGER PROGRAMMING. 3. ... weekly value of sales of A & C. Market research indicates no more maximize than 4 tons of acid can be sold each week. How much A .... SIMPLEX ALGORITHM vertex without nec
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LP technique is applied to a wide variety of problems listed below: (a) Optimizing the product mix when the production line works under certain specification;. (b) Securing least cost combination of inputs;. (c) Selecting the location of Plant;. (d)
Mar 9, 2010 -  Matti Laaksonen: TMA.101 Operaatioanalyysi, Lecture Notes, 2005. http://lipas.uwasa.fi/~mla/orms1020/oa.html.  Hamdy Taha: Operations Research: An Introduction (6th Edition), Pren- tice Hall, Inc, 1997.  Wayne Winston: Operati
MAP/PH/K/B-K structure. Efrosinin uses Markov decision processes (MDPs) to investigate various multi-server systems with a common finite queue and inde-.
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I.INTRODUCTION. A single antenna has a limited radiation pattern. But with the use of several antennas working together (array), it is possible to improve the .....  MatLab Manuals.  J.D. Kraus, Antennas, Mc Graw Hill, 1950.  J. S. Arora, In