Organization:Federal Express Federal Express is the world’s largest express transportation company‚providing fast and reliable services for important documents ‚packages‚and freight.It’s success was gave the credit to the use of Operations Research. Operations Research modeling was a way of life for Federal Express‚there were three famous Model planning system‚one is origin-destination flow model which worked out a 26-city system that make FedEx’s first success.This model and the planning had
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(Balakrishnan/Render/Stair) Chapter 2 Linear Programming Models: Graphical and Computer Methods 2.1 Chapter Questions 1) Consider the following linear programming model: Max X12 + X2 + 3X3 Subject to: X1 + X2 ≤ 3 X1 + X2 ≤ 1 X1‚ X2 ≥ 0 This problem violates which of the following assumptions? A) certainty B) proportionality C) divisibility D) linearity E) integrality Answer: D Page Ref: 22 Topic: Developing a Linear Programming Model Difficulty: Easy 2) Consider the following linear programming model: Min 2X1
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Abstract……………………………………………………………………………………………….1 II. Introduction…………………………………………………………………………………………2 III. Literature Review…………………………………………………………………………………4 IV. Methodology 1. Analytical Hierarchy Process……………………………………………………...6 2. Goal Programming……………………………………………………………………..8 3. Integrated Analytical Hierarchy Process - Goal Programming………9 V. Formulation 1. Deriving AHP weights………………………………………………………………10 2. Decision variables……………………………………………………………………13 3. Constrains………………………………………………………………………………14 4. Objective function……………………………………………………………………16
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spaces‚ each of which is defined by a linear inequality. 2) What is an infeasible solution? How is this condition recognized in simplex method? A infeasible solution is one that does not satisfies all linear and non-linear constraints. When the solution is along with the artificial variable even when the aolution is optimized then its is a infeasible solution 3) What is an unbounded solution? How is this condition recognized in simplex method? A linear program is unbounded if the optimal
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Management Science‚ 10e (Taylor) Chapter 5 Integer Programming 1) The 3 types of integer programming models are total‚ 0 - 1‚ and mixed. Answer: TRUE Diff: 1 Page Ref: 182 Main Heading: Integer Programming Models Key words: integer programming models 2) In a total integer model‚ all decision variables have integer solution values. Answer: TRUE Diff: 1 Page Ref: 182 Main Heading: Integer Programming Models Key words: integer programming models 3) In a 0 - 1 integer model‚ the solution
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Operational Research (OR) DR. SUPRIYA KUMAR DE ASSIGNMENT XLRI-PGCBM-18 NAME: GH. RASOOL WANI SMS ID: 2217429 Table of Contents 1. Problem: 1 2. Solution: 2 2.1 Manual Approach 2 2.2 Linear programming approach 2 2.2.1 Decision Variables: 3 2.2.2 Objective Function: 3 2.2.3 Constraints: 3 2.3 Excel Solution. 6 2.3.1 Excel Solution Embedded: 6 3. Analysis: 6 3.1 Sensitivity Analysis: Objective Function 6 3.2 Sensitivity Analysis:
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Chapter 2 Linear Programming: Basic Concepts Solution to Solved Problems 2.S1 Back Savers Production Problem Back Savers is a company that produces backpacks primarily for students. They are considering offering some combination of two different models—the Collegiate and the Mini. Both are made out of the same rip-resistant nylon fabric. Back Savers has a long-term contract with a supplier of the nylon and receives a 5000 square-foot shipment of the material each week. Each Collegiate requires
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EMPLOYMENT IN ORGAINSED AND UNORGANISED SECTOR Introduction Employment is another indicator of the health of the economy. Employment is directly related with the national income because a higher employment will be followed by a higher output and thereby income. Not only that‚ a higher level of employment encourages advancement in education‚ skill formation‚ human resource development and a better physical quality of life. Hence‚ study of employment helps us to estimate the real status of the
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produced are consumed in the market. Formulate the problem as LPP in order to determine the daily number of units to be manufactured for each product. J 4 Describe the transportation problem. Formulate the transportation problem as a linear programming problem. 5 Using Lagrange multiplier method solve following problem: Minimize f (X) = 1/2(x12 + x22 + x32). subject to constraints: g1(x) = x1 − x2 = 0. g2(x) = x1 + x2 + x3 − 1 = 0. 6 (a) (b) Explain method of multipliers
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Run Run Shaw Library Copyright Warning Use of this thesis/dissertation/project is for the purpose of private study or scholarly research only. Users must comply with the Copyright Ordinance. Anyone who consults this thesis/dissertation/project is understood to recognise that its copyright rests with its author and that no part of it may be reproduced without the author’s prior written consent. DECISION MODELS FOR AIRLINE PASSENGER AND CARGO NETWORK ALLIANCES LANG CHUNMEI DOCTOR
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